Skip to main content
Fly logoLink to Fly
. 2025 Oct 11;19(1):2572866. doi: 10.1080/19336934.2025.2572866

What the fruit fly can tell us about autosomal recessive primary microcephaly

Shalini Chakraborty 1, Steven Florez 1, Todd Schoborg 1,
PMCID: PMC12520113  PMID: 41074654

ABSTRACT

Three decades of research aimed at understanding the basis for autosomal recessive primary microcephaly (MCPH), a human clinical disorder defined by a significant reduction in head and brain size, has uncovered a suite of ~30 genes that participate in this process. Work in both vertebrate and invertebrate model systems have been instrumental in attempting to link MCPH gene function to the brain growth phenotype. However, we still lack definitive evidence as to what these functions are for many of these genes. In this review, we summarize recent work in Drosophila aimed at overcoming these limitations in our knowledge of MCPH gene function that may be applicable to humans. We discuss the clinical features of MCPH, parallels between human and Drosophila neurogenesis modes with a particular focus on the fly optic lobe, and highlight four of the most well-studied Drosophila MCPH orthologs: abnormal spindle (asp)/MCPH5, Microcephalin/MCPH1, WD Repeat-Containing Protein 62 (Wdr62)/MCPH2, and Ankryin Repeat-and LEM Domain- Containing Protein 2 (ANKLE2)/MCPH16. We focus on the multifunctional roles for these proteins that may underlie the microcephaly phenotype and advocate for the use of flies as a relevant model for human MCPH.

KEYWORDS: Drosophila, neurogenesis, neuroblasts, neural stem cells, microcephaly, MCPH, abnormal spindle, ASPM, microcephalin, wdr62, ankle2

Introduction

It has been nearly 30 years since the first genetic locus responsible for autosomal recessive primary microcephaly (MCPH) was identified [1]. Since then, 30 genes have been given an official MCPH designation in OMIM [2]. While we now have a greater understanding of the genes involved, their phenotypic relationship to the small brains observed in human patients is less clear. This is primarily due to two factors: the diversity of cellular roles that these genes are known to participate in and the complex nature of the brain’s developmental process, which must be precisely coordinated in time and space to ensure that efficient neurogenesis is translated into a properly sized brain.

A multitude of biological factors contribute to this complexity of brain development, including coordination of cell cycle and developmental timing, mitotic spindle orientation, transcriptional and epigenetic gene regulation, cell signalling pathways and neuronal migration (reviewed in [3]). Additionally, the heterogeneous nature of clinical microcephaly makes it extremely difficult to delineate the potential causes of this disorder, given that the same small brain size feature (a clinical hallmark of microcephaly) might arise from disruptions in entirely different biological processes, making it difficult to pinpoint a single molecular signature for this disorder.

However, clues from evolutionary cell biology may provide a suitable framework for understanding how cellular behaviour influences brain size. In terms of the cellular ‘scaling factors’ that correlate with brain size, primate brain size is largely driven by total cell number, as opposed to rodent brains, which tend to increase cell size in order to increase brain volume [4–7]. Therefore, a simplified and cohesive view of the MCPH gene-phenotype relationship is that any disruption to the production of brain cells in a timely manner leads to a small brain.

However, the devil lies in the mechanistic details. The microcephaly field was driven largely by correlative studies during the first two decades of its existence, relying on the most well-known role (at the time) of the MCPH gene in question to formulate a hypothesis for how it’s loss caused a small brain [8]. While these hypotheses made sense intuitively and provided the framework that later studies would eventually put to the test, the limitations of such an approach has become clear in recent years as a number of newer studies have failed to definitively link these well-known MCPH gene roles to the microcephaly phenotype [9–12].

These studies also revealed that protein multifunctionality (e.g. moonlighting) may be a significant contributor to the microcephaly phenotype. These secondary roles allow more complex biological functions from a smaller suite of genes and are becoming increasingly more relevant in genetic causes of human disease, especially those for which a single gene mutation is thought to be responsible for the disease phenotype [13,14]. This highlights a critical limitation of relying on correlation to explain the aetiology of MCPH – without complete knowledge of a protein’s entire set of functions, we cannot understand the fundamental biology behind the disorder and therefore lack any viable approach towards therapeutic intervention.

However, characterizing multifunctional protein roles is challenging. Phenotypes can be subtle and/or difficult to definitely link to the mutant phenotype in question, may be cell or tissue-specific, or only occur with specific binding partners. We also lack suitable computational tools to predict protein secondary functions [15]. These challenges therefore necessitate the use of a suitable model organism that possesses the necessary genetic tools to properly identify and detail the mechanism by which these secondary functions impact tissue development, particularly for the brain. But therein lies a bigger problem when trying to understand these roles in the context of human brain growth control – can the superior genetic tools of model organisms really elucidate these mechanisms when brain size is a defining feature of being human [16]?

In this review, we advocate for the use of the fruit fly (Drosophila melanogaster) as a suitable model system for human MCPH. We describe the fly optic lobe and its development to highlight parallels to mammalian brain development, including human-specific features such as the relationship between brain cell number and tissue volume. We then summarize recent studies from four of the most well-studied MCPH orthologs in flies (MCPH1-Microcephalin, MCPH5-Abnormal Spindle (Asp), MCPH2-WD Repeat-Containing Protein 62 (WDR62), and MCPH16-ANKLE2), highlighting multifunctional roles for these proteins that may be the key for understanding the molecular basis of MCPH.

Microcephaly: a clinical definition for human patients

Microcephaly is a rare neurodevelopmental disorder which is primarily characterized by a reduction in brain volume, particularly the cerebral cortex, various forms of intellectual disabilities, and life span reduction. The clinical definition of microcephaly includes a reduction in occipital frontal head circumference (OFC) that is greater than two standard deviations (SD) below the mean for an individual’s age, sex and ethnicity [17–20]. An OFC greater than 3 SDs below the mean signifies a ‘severe’ form of microcephaly. Microcephaly can be divided into two major categories: congenital/primary (if it appears at birth) and secondary (postnatally). Congenital microcephaly is primarily a neurodevelopmental defect. However, secondary microcephaly is often considered to be neurodegenerative and progressive in nature [21]. Both primary and secondary microcephaly can be genetic or acquired [22].

A wide variety of environmental factors can lead to primary microcephaly. Exposure of the foetus to infections during pregnancy, particularly from agents of the ToRCH complex (Toxoplasma (To), Rubella Virus (R), Cytomegalovirus (C) and Herpes Simplex Viruses (H)), and more recently, Zika virus, can disrupt brain development and cause microcephaly [23,24]. Foetal exposure to toxins like alcohol, certain drugs, heavy metals like mercury, radiation and chemicals in tobacco smoke have also been documented to cause microcephaly [25–27]. Primary microcephaly can further be subdivided into three categories: 1) isolated microcephaly, referring to only small brain size and no further clinical abnormalities like developmental and intellectual disabilities; 2) non-syndromic microcephaly, referring to a condition with neurological defects but without cerebral or extra-cerebral abnormalities; 3) syndromic microcephaly with cerebral malformations and/or extra-cerebral anomalies like facial dysmorphism, eye, ear, heart disorders, etc. [28].

Primary microcephaly is generally considered an autosomal recessive trait, which suggests the affected individual will only develop the condition if he/she inherits a copy of the mutated gene from each parent [29]. However, a small portion of MCPH genes have also been linked to autosomal dominant conditions, in which case only one copy of the gene is sufficient to cause the disease (e.g. LMNB2, WDFY3). Nonetheless, autosomal recessive primary microcephaly (MCPH) is largely associated with single gene mutations that behave recessively, often within consanguineous relationships, resulting in isolated microcephaly within a lineage [25].

Fruit flies, a powerful genetic model to study neurodevelopmental disorders

The human brain is a complex organ that functions to coordinate body locomotion and movement, interpret various senses, and facilitate normal behaviour and cognitive responses. Abnormalities in proper brain growth and development form the basis of various neurodevelopmental disorders (NDDs) like microcephaly. An approach towards understanding these incurable disorders is to determine molecular and cellular mechanisms of NDDs in less complex organisms that have sophisticated nervous systems.

Fruit flies, a highly genetically tractable animal model, have been employed over the years to study human disease, including NDDs. Fruit flies have numerous experimental advantages to conduct NDD research, such as a well-characterized genome amenable to genetic manipulation, a short 10-day life cycle, production of progeny in large numbers, and most importantly, a wide variety of powerful genetic tools to elucidate molecular mechanisms behind human diseases [30].

In addition to these technical advantages, there are other reasons why flies are powerful for studying NDDs. First, Drosophila shares many conserved genetic pathways that are involved in neurodevelopment with humans [31,32]. About 75% of the genes known to be involved in human NDDs have orthologs in Drosophila [33,34]. Secondly, although the fly’s neuroanatomy is comparatively simpler than that of humans, its central nervous system (CNS) still shares many key characteristics with the human brain. For example, flies have well-defined neural circuits to understand behaviour, and complete connectomes providing synapse-level resolution are available for both the larval and adult brain [35,36]. Additionally, they exhibit complex behaviours such as learning, memory, and locomotion, which can be used to model neurodevelopmental disorders that impact cognitive behaviour [37–40]. Combined with the sophisticated genetic tools available, flies can serve as an attractive model to uncover the mechanistic basis of these processes that are relevant to humans and NDDs.

This is especially true for NDDs related to brain growth control, such as MCPH. Unlike rodents, which utilize increases in cell size to produce larger brains, fly brains show a strong correlation between total brain cell number and total volume (Figure 1), much like primates [4–7]. This may explain why non-primate vertebrate models, such as mice and zebrafish, show relatively subtle brain size decreases when MCPH genes such as MCPH5 (Abnormal Spindle-Like, Microcephaly Associated (ASPM) and MCPH2 (WDR62) are mutated [10,42–44]. Flies, on the other hand, show a strong reduction in brain size ( > 30% for the adult optic lobes) that correlates with a > 30% decrease in total brain cell number when the MCPH5 ortholog Abnormal Spindle (asp) is mutated [41,45]. Such strong size phenotypes therefore allow even subtle perturbations to be investigated. Furthermore, genetic rescue experiments in flies using human transgenes of MCPH5 (ASPM) and MCPH16 (ANKLE2) can compensate for fly-specific mutations and largely restore brain size, providing strong evidence that the mechanisms promoting proper brain growth are conserved across > 700 million years of evolution [46–48]. Finally, flies have proven to be a useful system for evaluating the genetic contributions to other human disorders that include microcephaly as a clinical feature, such as the Microcephalic Primordial Dwarfism (PD) disorders (Seckel syndrome, Meier-Gorlin syndrome, and microcephalic osteodysplastic PD types I and II (MOPD I and II)) [49–53].

Figure 1.

Figure 1.

Drosophila melanogaster adult brain size strongly correlates with total neuronal cell number. Graph shows the relationship between adult brain size as measured by microcomputed tomography and total neuronal cell number as measured by flow cytometry for the indicated genotypes: asp (abnormal spindle mutant), dif; asp (dorsal-related immunity factor; abnormal spindle double mutants), yellow-white (WT), asp rescue (abnormal spindle mutants expressing a rescue transgene), dif (dorsal-related immunity factor single mutant) [41]. For each genotype, n > 10 single brains were analysed. Simple linear regression (R2) was performed using PRISM software.

Mechanisms of mammalian cerebral cortex development

The brain, despite its complex architecture and function, consists of two post-mitotic cell types: neuronal (neurons) and non-neuronal (glia). These two cell types work together to ensure proper functioning of the nervous system. The total number of these cells in a brain will vary depending on the species and the complexity. For example, Drosophila has approximately 130,000 neuronal cells as opposed to humans, which consist of around 86 billion neurons [54,55]. This makes the human brain much more complex and significantly larger than the fly brain. However, the mode by which these neuronal and non-neuronal cells are generated, termed neurogenesis, is highly conserved. In other words, flies make brain cells in much the same way that humans do (Figure 2). For both organisms, the cells that comprise the adult brain are primarily generated during specific neurogenesis windows during early development: the embryonic and larval stages in Drosophila, and in the embryonic and postnatal stages in humans. This occurs from a small pool of neural stem cells called neuroepithelial cells (NECs) [56–59].

Figure 2.

Figure 2.

Comparative timeline and neurogenesis mechanisms in flies and humans. Cartoon highlighting the general features of neurogenesis. (A) in flies, two neurogenesis periods exist. Embryonic neurogenesis occurs from 3–12 hours after egg laying (AEL) followed by a short quiescent period before larval neurogenesis begins during the 1st and 2nd larval instars. Larval neurogenesis peaks during the 3rd instar stage (~72 hrs AEL) with most neurons and glia being generated during the late third instar period (72–96 hrs AEL). (A’) during embryonic neurogenesis, symmetrically dividing embryonic neuroepithelial cells (NECs) of the optic placode expand in number before undergoing a fate switch to asymmetrically dividing embryonic neuroblasts (EONs), which generate ganglion mother cells that will produce neurons and glia of the optic lobe. (A”) during the larval neurogenesis period, additional optic lobe and lamina neuronal cells are generated in a similar fashion, with symmetrically dividing NECs undergoing a period of expansion before undergoing a cell fate switch into either asymmetrically dividing neuroblasts or lamina precursor cells (LPCs). Neuroblasts generate GMCs that produce neurons and glia, while LPCs generate lamina neurons directly. (B) in humans, cortex neurogenesis occurs between 10 and 25 gestational weeks (wks), followed by the completion of fetal development and birth with limited neurogenesis occurring in the postnatal stages. (B’) neurogenesis in humans also begins with an initial expansion of the NEC pool via symmetric division, which undergoes a similar cell fate switch into asymmetrically dividing radial glial cells (RGCs), analogous to fly neuroblasts. RGCs will generate either a neuron directly or an intermediate neural progenitor (INP), which are analogous to fly GMCs and will generate additional neurons. For an in-depth description of additional neurogenesis modes and neuroblast types in drosophila, see [56].

In mammals, these NECs originate from the lining of the neural tube, which in turn arises from the neuroectoderm. The anterior end of the neural tube undergoes an expansion and differentiation into the primary brain vesicles, such as the forebrain (prosencephalon), from where two telencephalic vesicles develop. The dorsal portion of these vesicles then undergoes specification to form the primordium of the cerebral cortex. During this time, the cortical primordium is comprised of a single layer of NECs. These highly polarized neural stem cells radially extend two thin processes away from the cell body, one of which contacts the apical surface of the neuroepithelium (apical process) and the other connects to the basal lamina (basal process). The apical process attaches adjacent NECs at the level of the apical surface via adherent and tight junctions [60,61].

NECs undergo repeated rounds of symmetric division to increase the progenitor pool and support the development of the neural tube. During each cell cycle, their nucleus moves along the entire apico-basal axis in a highly stereotyped fashion, called Interkinetic Nuclear Migration (INM). Mitosis occurs at these apical processes. During G1, the nucleus moves towards the basal lamina, where it remains during S-phase, and at G2, it moves back to the apical side, where it undergoes mitosis again. This cyclic motion of the NEC nuclei occurs completely asynchronously, resulting in a pseudostratified neuroepithelium with nuclei arranged at different positions along the apico-basal axis [3].

At the onset of neurogenesis, NECs lose tight junctions while retaining apical adherent junctions and transform into a population of neural stem cells known as apical radial glial cells (aRGCs). These highly polarized aRGCs possess a cell body situated within the Ventricular Zone (VZ), the primary germinal layer of the cortical primordium, which lines the ventricles. Their elongated processes exhibit apico-basal polarity, with a short apical process contacting the ventricular lumen (apical surface) and a long basal process extending radially towards the pial surface, forming a scaffold for neuronal migration. aRGCs also undergo INM, but become restricted to the apical domain, next to the ventricular surface. These aRGCs facilitate two major processes: neurogenesis (production of neurons and glia) and neuronal migration, where they serve as guidance cables aiding the migration of newborn neurons. In contrast to NECs, aRGCs undergo asymmetric cell division whereby an aRGC generates another aRGC and an intermediate progenitor cell (IPC) or immature neuron. IPCs migrate from the apical surface towards the SubVentricular Zone (SVZ), which is located at the basal border of the VZ. Here, IPCs undergo symmetric division, typically producing two immature neurons, or sometimes expanding their population by generating two IPCs. Immature neurons coordinate with radial fibres to migrate into the cortical plate and transform into mature neurons. Additionally, aRGCs serve as progenitors for glial cells. They can give rise to oligodendrocytes and ependymal cells, and a significant population of aRGCs ultimately differentiates into astrocytes, particularly after the peak of neurogenesis (for an in-depth review of mammalian neurogenesis, see [3,60–64]).

Neurogenesis modes in Drosophila

In Drosophila, the central nervous system (CNS) develops from paired neural plates, located on the ventral region of the embryo. The brain develops from the anterior portion of the embryo, which is called the procephalic neuroectoderm. Similar to mammals, the neuroectoderm of the Drosophila embryo consists of a single layer of neuroepithelial cells (NECs). At the onset of neurogenesis, neuroblasts (NBs), another group of neural stem cells, delaminate from the neuroepithelium and rapidly undergo self-renewing asymmetric divisions to either give rise to another NB or transform into a smaller ganglion mother cell (GMC), which undergoes one final round of division to give rise to differentiated populations of neurons and glia. At the end of the embryonic neurogenesis window, NBs in the head and the thorax enter into a G0-like quiescent state until the early larval stages, where they reactivate and continue to generate neurons and glia during the second neurogenesis window in response to nutritional inputs. About 10% of the neurons found in the adult CNS are generated during the embryonic stage, and 90% generated during the larval neurogenesis stage [65–67].

Four types of neuroblasts can be found in the Drosophila CNS: Type 0 NBs can self-renew and directly differentiate into a daughter neuron. Type I NBs undergo multiple self-renewing asymmetric divisions to produce GMCs. Each GMC then undergoes one round of terminal division to produce two differentiated cells, either two neurons or a neuron and a glia. Type II NBs can also divide asymmetrically but produce an intermediate neural progenitor (INP) cell instead of a GMC. INPs go through another four to eight rounds of additional asymmetric division, leading to the formation of a GMC at each division, which can then differentiate into neurons and glia. Due to the generation of these transit-amplifying INPs, type II NBs are capable of generating much larger neuronal lineages than type I neuroblasts and are analogous to the neurogenesis mode utilized by the aRGCs in the outer SVZ of the mammalian cerebral cortex [68–70]. Type III neuroblasts, also called optic lobe NBs, first divide asymmetrically to generate distinct NB subtypes and then undergo both symmetric and asymmetric divisions to generate terminally differentiated neurons and glia. These different groups of NBs are distinguished primarily by the cell-polarity proteins and transcription factors they express. Deadpan (dpn) and worniu (wor) are expressed in both Type I and Type II neuroblasts. However, Type I and Type II NBs also express markers specific to their own lineages. For example, Type I NBs express prospero (pros) and asense (ase), which is not initially expressed by Type II NBs, but when they transform into INPs, they become Ase+. Similarly, Type III NBs uniquely express atonal (ato) [71].

The Drosophila optic lobe, a model system for human MCPH studies

The adult fruit fly brain can be roughly divided into two major regions: a pair of optic lobes and the central brain. These two distinct regions are densely populated with neurons, which primarily arise from the different types of neuroblasts that make up the larval CNS described in the previous section [72]. The Drosophila optic lobes are an attractive model for the study of brain growth and development mechanisms that may be relevant to humans, considering that the neurogenesis modes are remarkably similar. Both utilize a pool of symmetrically dividing neuroepithelial cells (NECs) that later switch to asymmetric division modes as neuroblasts (NBs) that are neurogenic. This balance is thought to be critical in both humans and flies for generating the correct number of cells, therefore a brain of the correct size [73–76].

Moreover, the Drosophila optic lobes are highly neurogenic, generating ~67% of the total neurons of the fly brain (~120,000 neurons belonging to nearly 200 different morphological classes) [77–80]. Neurons within the fly optic lobe have also been observed undergoing migration to reach their final destination, similar to the neuronal migration that is prominent in mammalian cerebral cortex development [81–83]. Also, the optic lobes share structural similarities with the mammalian brain, such as layered architecture and columnar units, thus making it an excellent model to study molecular mechanisms underlying brain growth and development [84,85]. This is supported by previous studies in Drosophila brains mutated for abnormal spindle (asp), the most commonly mutated gene in human MCPH, that showed the optic lobes were the most severely affected brain region with a significant reduction in volume as well as severe morphological defects [41,45].

The fly optic lobe originates from cells present in the embryonic neuroectoderm, termed the optic placode. A pool of Neuroepithelial cells (NECs) in this region actively divide to produce embryonic neuroblasts (EONs), which are marked by dpn expression. These EONs generate neurons and glia during the embryonic neurogenesis phase, then undergo a G0-quiescent phase and persist until the larval stages, where they reactivate and generate larval neurons of the optic lobe [73].

The adult optic lobe harbours four distinct groups of ganglia, which are called the lamina, medulla, lobula, and lobula plate, whose primary neurogenesis programs occur during the larval stages [79,82,84]. Upon larval hatching, the optic lobe primordium gradually segregates into two distinct neuroepithelial structures: the Outer Proliferation Center (OPC) and the Inner Proliferation Center (IPC). The OPC is involved in the generation of outer medulla and lamina neurons, whereas the IPC is involved in the generation of inner medulla, lobula, and lobula plate neurons. During the early stages of larval neurogenesis, NECs of the OPC go through repeated rounds of symmetric cell divisions to increase the progenitor population. Three distinct neurogenesis modes have been uncovered in these neuroepithelial populations. First, the lateralmost edge of the OPC gives rise to a unique population of neural progenitor cells known as the lamina precursor cells (LPCs), which share characteristics with GMCs in that they can directly differentiate into lamina neurons. This occurs via both intrinsic (e.g. transcription factor) and extrinsic factors (cell signalling molecules such as Hedgehog (Hh) and the epidermal growth factor (EGF)-like ligand Spitz) [86–88].

Second, towards the early third instar larval stage, the medial-most tips of the OPC undergo a fate switch without division to transform into medulla NBs (mNBs), which then undergo repeated rounds of self-renewing asymmetric divisions leading to the formation of GMCs, which can then terminally divide into differentiated populations of neurons and glia [79,89,90]. The transformation of medial NECs into mNBs in this region is mediated by a wave of differentiation called the ‘proneural wave’, which progresses from the lateral to the medial side of the fly brain, creating a region known as the transition zone (TZ). This transition zone is characterized by the temporary expression of the proneural transcription factor Lethal of scute (L’sc) in NECs, which promotes differentiation into mNBs. Many cell signalling pathways regulate the progression of this wave, including Notch and EGFR, where the coordinated sequential action of these pathways trigger the differentiation of NECs into mNBs, whose identities are further refined and diversified by the sequential expression of spatial and temporal transcription factors (sTFs and tTFs) [91–97].

Third, the inner proliferation centre (IPC) generates three distinct neuronal populations: distal cells (C2, C3, T2, and T3 neurons); lobula plate neurons (T4 and T5 neurons); and lobula neurons. This diversity is mediated by distinct NEC subdomains within the IPC. NECs of the proximal IPC (p-IPC) undergo an epithelial-to-mesenchymal transition (EMT) in response to Wingless signalling inputs and migrate via cell streams to a second horseshoe-shaped domain located near the OPC, known as the distal IPC (d-IPC). These cells then transform into neuroblasts within the dIPC, where they divide asymmetrically to produce distal cells and lobula plate T4/T5 neurons depending on transcription factor inputs. Lobula neurons are generated from the surface-IPC (s-IPC), located near the pIPC [85,98]. While the specific mechanisms regulating neurogenesis from the IPC are still under investigation, the involvement of conserved cell signalling pathways and transcription factor inputs, cell migration, and timely cell fate conversions between symmetrically and asymmetrically dividing neural stem cell populations make the IPC an intriguing model for future MCPH studies in the fly.

Next, we briefly discuss the neuroanatomy of each of the four adult ganglia of the optic lobe that form as a result of these neurogenesis modes in the larval optic lobe and describe their similarities to the mammalian cortex.

Lamina

The lamina is the first optic lobe ganglion situated medially to the retina. The lamina is arranged into an array of about 750 lamina cartridges that receive inputs from the outer R1-R6 photoreceptor axons, collecting visual information. The two other photoreceptor inner axons, R7 and R8, project directly to specific medulla layers, passing through the lamina without synapsing there. In addition to these PR axons, the lamina also consists of 12 other neuronal subtypes. These neuronal subtypes comprise five lamina output neurons, six putative feedback neurons, and one lamina intrinsic neuron. L1–L5 lamina neuron subtypes send axonal connections into the medulla. L1, L2, and L3 neurons receive direct input from R1–R6 photoreceptors, while L4 and L5 receive inputs from the R1-R6 pathway, primarily through other lamina neurons. Lamina neuron types can be categorized by the transcription factors they express. L1, L2, and L3 neurons express Svp, Bab2, and Erm, respectively. L4 and L5 neuronal types express Bsh/Ap and Bsh/Pdm3, respectively [99].

Additionally, T1, C2, and C3, the three putative feedback neurons, connect to the lamina through the medulla. Another class called the lamina wide-field neurons (Lawf 1 and 2), which function in wide-field feedback from the medulla to the lamina, are derived from the glial precursor cell (GPC) regions of the OPC and undergo a significant migration to reach their final destination, similar to mammalian neurons. Finally, the medulla connects to the lamina through the outer optic chiasm (OOC), consisting of lamina neuron axons that cross over each other in a defined pattern to establish the retinotopic map. To summarize, the structural organization and function of the lamina is relevant for understanding how visual information is processed and how spatial maps are established, both of which are critical for higher-level visual processing in both flies and mammals [82,100].

Medulla

The second optic lobe ganglion of the optic lobe, the medulla, is the largest processing centre of visual information, containing over 200 neuronal cell types that contribute to the formation of a complex neural circuit with 800 vertical columns and ten horizontal layers. Additionally, the Drosophila medulla shares structural and developmental similarities with the mammalian cerebral cortex, including the presence of both layered and columnar organization, utilizing similar mechanisms of neuronal migration and specification as well as having conserved cell interaction patterns [101]. The distal medulla includes the M1–M6 layers, consisting of lamina neurons and inner PRs. The proximal medulla, including M7–M10, is separated from the distal medulla by the serpentine layer (M7). These layers are distinguished by different Cadherin-N (CadN) or Bruchpilot (Brp) staining levels, in combination with layer-specific markers, including Chaoptin, which labels PR axons. Notch-dependent binary fate choices and temporal patterning of medulla NBs are responsible for generating the vast diversity of medulla neurons [85,102,103].

The lobula complex

The medial-most ganglia of the Drosophila optic lobe is called the lobula complex, which consists of the lobula and lobula plate neuropiles. The lobula is comprised of six layers (Lo1- Lo6) and connects to the lobula plate via the inner optic chiasm (IOC). The lobula shares certain fundamental similarities with the mammalian cortex, including its retinotopic architecture, where it maintains a spatial organization of visual information [104]. Additionally, the lobula is involved in processing motion, object features, and detecting visual looms just like the mammalian brain [105]. Lastly, the lobula connects visual detection with behavioural control, which is also a feature of mammalian cortex [97,106].

The lobula plate neuropil can be divided into four layers containing dendrites that can sense motion along one of the four cardinal directions. T4, T5, and Tlp neurons of the lobula plate connect with either the medulla or lobula as part of the visual motion processing circuit. The lobula plate also houses giant tangential neurons called the Lobula Plate Tangential Cells (LPTCs), which play crucial roles in the processing of motion vision, particularly in the detection of movement within the visual field. They are involved in motion detection and the integration of visual information to guide the fly’s behaviour. These neurons receive input from the deeper layers of the optic lobe, especially from the medulla and lobula, and transmit processed motion information to the CNS for further integration and behavioural response [79].

LPTCs primarily acquire their directional sensitivity from integrating local motion information from presynaptic T4 and T5 neurons to derive global motion information. T4 neurons convey ON local motion to signify the direction of motion of bright edges, whereas T5 neurons provide OFF local motion to represent dark edges. There are four different subtypes of T4 and T5 neurons, each accounting for one cardinal direction. The major types of LPTCs in Drosophila are as follows: Horizontal Motion Detectors or HS neurons and Vertical Motion Detectors or VS neurons [79,85,107]. The lobula plate serves as a higher-order visual processing centre, similar to the dorsal stream in the mammalian cortex. The lobula plate’s structure and function is essential for delineating how brains compute and use motion information for behaviour [108].

Human MCPH genes and their Drosophila orthologs

MCPH has been linked to mutations in numerous genes. As of 2025, 30 MCPH genes have been characterized and ordered numerically as MCPH 1-30 (Table 1). Generally, MCPH mutations are loss-of-function resulting from nonsense, frameshift, deletions, or splice site-mutations, all of which result in non-functional proteins. The different genes associated with MCPH perform a variety of essential cellular processes, whose most well-characterized cellular roles include de novo centriole assembly, microtubule turnover, damage to the DNA, and interaction with various cell signalling pathways [109]. Many of these MCPH genes encode for centrosome or spindle-pole associated proteins. MCPH has been hypothesized to be caused by an abnormal neurogenesis programme, resulting from various factors, including increased neuronal death, an aberrant ratio of progenitor to differentiating cells, and abnormal timing in cell division and differentiation. This can lead to a reduction in final brain cell number and a corresponding reduction in brain size [4,26,27].

Table 1.

List of human genes given an official MCPH designation in OMIM and the corresponding ortholog from Drosophila melanogaster.

Human MCPH Gene MCPH Designation OMIM Number Fly Ortholog
Microcephalin 1 MCPH1 607117 Microcephalin
WD Repeat-Containing Protein 62 (WDR62) MCPH2 604317 Wdr62
CDK5 Regulatory Subunit-Associated Protein 2 (CDK5RAP2) MCPH3 604804 centrosomin (Cnn)
Kinetochore Scaffold 1 (KNL1)/CASC5 MCPH4 604321 KNL1
Abnormal Spindle-Like, Microcephaly- Associated (ASPM) MCPH5 608716 abnormal spindle (asp)
Centromeric Protein J (CENPJ) MCPH6 608393 Spindle assembly abnormal 4 (Sas-4)
SCL/TAL1-Interrupting Locus (STIL) MCPH7 612703 anastral spindle 2 (ana2)
Centrosomal Protein, 135-KD (CEP135) MCPH8 614673 Centrosomal protein 135kDa (Cep)
Centrosomal Protein, 152-KD (CEP152) MCPH9 614852 asterless (asl)
Zinc Finger Protein 335 (ZNF335) MCPH10 615095 CG10366
Polyhomeotic Homolog 1 (PHC1) MCPH11 615414 Polyhomeotic proximal & distal (ph-p & ph-d)
Cyclin Dependent Kinase 6 (CDK6) MCPH12 616080 Cyclin-dependent kinase 4 (CDK4/6)
Centromeric Protein E (CENPE) MCPH13 616051 CENP-ana (cana)/CENP-meta (cmet)
SAS6 Centriolar Assembly Protein (SASS6) MCPH14 616402 Spindle assembly abnormal 6 (Sas-6)
Major Facilitator Superfamily Domain-Containing Protein 2A (MFSD2A) MCPH15 616486  
Ankyrin Repeat- and LEM Domain- Containing Protein 2 (ANKLE2) MCPH16 616681 Ankle2
Citron Rho-Interacting Serine/Threonine Kinase (CIT) MCPH17 617090 Sticky (sti)
WD Repeat- and FYVE Domain- Containing Protein 3 (WDFY3) MCPH18 617520 Blue cheese (bchs)
Coatamer Protein Complex, Subunit Beta- 2 (COPB2) MCPH19 617800 Coat Protein (coatomer) β’(β’COP)
Kinesin Family Member 14 (KIF14) MCPH20 617914 Nebbish (neb)
Non-SMC Condensin I Complex Subunit D2 (NCAPD2) MCPH21 617983 CAP-D2 condensin subunit (Cap-D2)
Non-SMC Condensin II Complex Subunit D3 (NCAPD3) MCPH22 617984 Chromosome associated protein D3 (Cap-D3)
Non-SMC Condensin I Complex Subunit H (NCAPH) MCPH23 617985 Barren (barr)
Nucleoporin, 37-KD (NUP37) MCPH24 618179 Nucleoporin 37kD (Nup37)
Trafficking Protein Particle Complex, Subunit 14 (TRAPPC14)/MAP11 MCPH25 618351  
Lamin B1 (LMNB1) MCPH26 619179 Lamin (Lam)
Lamin B2 (LMNB2) MCPH27 619180 Lamin (Lam)
Ribosomal RNA Processing 7 Homolog A (RRP7A) MCPH28 619453 CG9107
Programmed Cell Death 6-Interacting Protein (PDCD6IP) MCPH29 620047 ALG-2 interacting protein X (ALiX)
BUB1 Miotic Checkpoint Serine/Threonine Kinase (BUB1) MCPH30 620183 Bub 1-related kinase (BubR1)

However, the precise mechanism by which mutations in these genes disrupt neurogenesis and, in turn, reduce overall brain size, have proven elusive. While correlation based on the most ‘well-known’ function of the MCPH gene in question provides a logical framework, in many cases these hypotheses have failed when put to the test in model organisms [9–12]. Furthermore, a common theme of these studies is that the less well-known functions of the MCPH genes under investigation are likely to be responsible for the small brain phenotype. This suggests that protein multifunctionality may be a significant contributor to the aetiology of MCPH, and perhaps other human diseases caused by single-gene mutations [14]. Below, we summarize recent results from the most well-studied MCPH orthologs from Drosophila and highlight the moonlighting functions uncovered to date.

Abnormal spindle-like, microcephaly associated (ASPM)/MCPH5

Abnormal spindle-like, microcephaly associated (ASPM), also known as MCPH5 (OMIM #608716), is the most commonly mutated gene found in human MCPH patients, accounting for more than 40% of the patient population. Human ASPM possesses 28 exons and at least two alternative splicing isoforms: isoform 1 (full-length, amino acids 1–3,477) and isoform 2 (lacking the largest exon, exon 18, which encodes amino acids 1,356–2,940). Human ASPM protein consists of four domains: an ASH (ASPM-SPD2-Hydin) domain at the N-terminus (NT), two calponin homology domains (CH), an isoleucine and glutamine domain (IQ motif), and a species-conserved C-terminal domain that contains HEAT/Armadillo-like repeats. An intrinsically unstructured region is located between the ASH and CH domains. The ASH domain of ASPM is thought to play a crucial role in spindle integrity and function. Its function is linked to binding microtubules and facilitating spindle organization at the poles. The CH domains, commonly found in actin-binding proteins, also facilitate a stronger interaction with microtubules than the ASH domain. The 81 IQ repeats are implicated in calmodulin binding [110]. The function of the C-terminal HEAT/Armadillo-like repeat is not known [111]. The diverse number of protein domains in ASPM hints at potential multifunctional roles for this protein.

The Drosophila ortholog of ASPM, known as abnormal spindle (asp), is a 220-KD protein consisting of 1,954 amino acid residues with a pI of 10.8, which makes it extremely basic and challenging to work with biochemically. Only a single isoform is predicted in FlyBase, although this has not been extensively studied and there may be a second isoform, like mammals. Asp was first identified in the 1980s, well before human ASPM, and named for the obvious mitotic phenotype observed: unfocused mitotic spindle poles and centrosome-pole detachment [112]. Other mitosis phenotypes have been reported for different mutant asp alleles, including defects in chromosome segregation, cytokinesis, and mitotic timing [113–117]. Later work showed that Asp promotes proper mitotic spindle organization through its interaction with Calmodulin via Asp’s IQ domains in the C-terminus and its ability to crosslink microtubule minus ends via the CH and ASH domains, thereby ensuring proper mitotic spindle architecture [9,118].

These mitotic defects observed in Drosophila asp mutants formed the preliminary hypothesis for how loss of human ASPM function causes MCPH [119]. However, later studies in Drosophila showed that loss of mitotic spindle morphology per se is not the primary driver of the MCPH phenotype, and that the N-terminus of Asp, including the ASH domain and neighbouring unstructured region (known as the ‘minimal fragment’), is both necessary and sufficient to restore brain size [9,41,45]. These studies were the first to suggest that Asp must therefore have additional cellular functions outside of mitotic spindle organization that are essential for proper brain growth and development.

But what might these other multifunctional roles for Asp be? Other studies in flies have shown that Asp interacts with components of the acto-myosin cytoskeleton to ensure proper neuroepithelial tissue architecture, which may impact the symmetrically dividing NEC pool and it’s timely transition into asymmetrically dividing medulla Neuroblasts (mNBs) [120]. Indeed, other studies have also shown an essential and specific role for Asp and ASPM in symmetrically dividing precursor cells in both Drosophila and mice, supporting a model where Asp/ASPM function in NECs is key to making a properly sized brain [46,75]. While the specific Asp/ASPM function(s) in NECs that ensure proper brain size remains to be elucidated, support for additional novel multifunctional roles include modulation of cell cycle timing via Cdk2/Cyclin E and regulation of essential cell signalling pathways known to control brain development, such as Wnt, Hedgehog, and Notch [12,121–127].

Recent transcriptional profiling of asp mutant and rescue strains from our laboratory provide further support for Asp as a potential regulator of cell signalling pathways and their downstream transcriptional targets that specify neural fate in the optic lobe [94]. We identified a strong enrichment for neurogenesis, Notch signalling, and retina development and morphogenesis, which were downregulated in asp mutants. The neurogenesis node included major regulators of the Notch pathway, including Notch (N) receptor, and the target genes of the Notch pathway belonging to the enhancer of split (E(spl)) complex (e.g. E(spl)mβ-HLH and E(spl)m4-BFM). Many well-known spatial and temporal transcription factors that generate the vast diversity of neuron types of the optic lobe, including Optix, eyeless (ey), twin of eyeless (toy), Dichaete (D), runt (run), tailless (tll), sloppy paired1 (slp1), and odd paired (opa) were also strongly enriched (downregulated) in the analysis [41,95,96].

Together, these studies point towards additional multifunctional roles for Asp in brain growth and development. Future studies in flies will be key for identifying these roles, which we believe should focus on elucidating the mechanism of Asp’s role as a neurogenesis promoting factor, particularly during interphase of the cell cycle. This could be achieved by identifying novel protein interacting partners of the N-terminal ‘minimal fragment’ region and performing functional genetic and biochemical assays in larval brains to dissect the relevant contributions of these multifunctional interactions to the MCPH phenotype. We also suspect that these studies will further clarify the relationship between Asp’s role as both a brain growth promoting factor and a regulator of brain morphology, which will further highlight the multifunctional roles of Asp in the developing brain [41]. We also believe that these findings in the fly will be relevant to humans, considering that ‘humanized’ asp mutant flies expressing a human ASPM fragment show relatively normal brain size, suggested conserved mechanisms of function(s) between human ASPM and fly Asp [46].

Microcephalin/MCPH1

Microcephalin or MCPH1 (OMIM #251200) was the first gene mutation that was identified in association with MCPH [1,128]. Decades of study in flies and mammals have revealed MCPH1 to also be a multifunctional protein, with roles described in DNA damage repair, chromosome architecture, cell cycle regulation, & numerous mitotic defects including chromosome condensation, alignment, and segregation [129–134]. The human protein is 835 amino acids, and like many proteins involved with DNA repair and cell cycle progression, contains three BRCA1 C-terminal (BRCT) domains. This domain consists of a phosphoprotein binding module that allows for heterotypic interactions with other phosphorylated proteins and also the DNA backbone. They can also facilitate protein-protein interactions between other BRCA1-containing proteins, forming large multimer complexes that are consistent with the nature of a multifunctional protein [135–138].

However, the contributions of the three BRCT domains in MCPH1 to the microcephaly phenotype are not equivalent. The BRCT domain at the N-terminus appears to be the most important, with an enrichment of human patient mutations located in this region [139]. Furthermore, mice lacking only the C-terminal BRCT domain have normal brain size, whereas mice lacking only the N-terminal BRCT domain have microcephaly [140,141]. These N-terminal BRCT-deficient mice also showed premature chromosome condensation and a defective DNA damage response, suggesting that one or both of these cellular roles for MCPH1 might be essential for proper brain growth and development [141].

In Drosophila, the microcephalin gene consists of nine exons and encodes four different protein isoforms ranging from 779 to 1028 amino acids. While fly MCPH1 shares only ~18% amino acid identity with the human counterpart, it includes the three BRCT domains, including the one located at the N-terminus. The 826 amino acid isoform (MCPH1-PB) has been shown to be crucial for the early syncytial nuclear divisions to coordinate centrosome and nuclear division cycles, mitotic progression, centrosome/centriole function, and centrosome-pole cohesion, with mcph1 mutants showing increased genomic instability and mitotic arrest that is Chk2 dependent, likely due to substantial DNA damage resulting from premature chromosome condensation, a phenotype conserved in mammals [129,132,140,142]. However, deletion mutants presumably lacking the N-terminal BRCA1 domain do not show an obvious microcephaly phenotype in flies, although morphological defects in the adult central brain, particularly in the mushroom bodies, which contribute to olfactory memory and other complex adaptive behaviours, were observed [129,142].

Much like the other MCPH genes covered in this review, a definitive cellular mechanism linking MCPH1 to the small brain phenotype remains unresolved, largely due to the multifunctional nature of the protein. Nonetheless, previous studies in mice have suggested that a disruption to the ratio of symmetrically dividing NECs to asymmetrically dividing neural stem cells is ultimately responsible for the microcephaly phenotype of MCPH1 mutants, similar to the explanation proposed for ASPM microcephaly [75,143]. More work will be required to establish the mechanism, and we propose that flies could be a useful system for these studies. It is worth noting that MCPH1 interacts with the Condensin II complex, which has numerous microcephaly cases reported in humans and mice when mutated, with NCAPD3 having an official MCPH designation (MCPH22, see Table 1) [144–151]. A recent study in Drosophila has also shown that mutations in Condensin II subunits cause microcephaly via retrotransposon activation and subsequent cell death in neural stem cells [152]. It would be of interest to explore the link between MCPH1, Condensin II subunits, and retrotransposable element activation in Drosophila, especially with modern genetic and imaging tools (CRISPR, transgenic rescue experiments, and microcomputed tomography), which were lacking in earlier MCPH1 fly studies. It is possible that such a connection could also explain the microcephaly phenotype for MCPH1 in mammals as well, including humans.

WD Repeat-Containing protein 62 (WDR62)/MCPH2

The second most commonly mutated gene in primary microcephaly is WD Repeat-Containing Protein 62 (WDR62) or MCPH2 [153]. In addition to microcephaly, human patients carrying mutations in WDR62 can also show other brain malformations, such as lissencephaly [154]. This is perhaps not surprising given that the human genome encodes at least twelve different protein isoforms. The presence of the WD40 repeat domain also hints at a multifunctional role for this protein, since these domains are known to coordinate protein-protein interactions by serving as a scaffold for multiprotein complexes [155]. Indeed, WDR62 has been shown to regulate several biological processes in flies and mammals, including mitotic spindle assembly and orientation, centrioles, centrosomes, and cilia [10,156–161]. The Drosophila ortholog of WDR62 also encodes for several isoforms, the longest of which is a 2,397 amino acid protein that shares ~35% amino acid identity with its human counterpart, including the presence of three WD40 domains. Flies carrying wdr62 mutations also show the microcephaly phenotype, with a ~ 40% reduction in central brain volume [158].

Early studies in mice suggested that mutations in WDR62 led to a reduction in the cortical neural stem cell pool, resulting in the production of fewer neurons and the microcephaly phenotype [44]. A similar neurogenesis defect was also detected in the hippocampus of WDR62-deficient mice [162]. This cellular phenotype was later verified in human brain organoids derived from patients carrying pathogenic mutations in WDR62163. However, the underlying cause of this phenotype has yet to be clarified. Earlier studies focused on WDR62’s role in mitosis, where its loss was shown to disrupt mitotic spindle architecture, spindle assembly checkpoint (SAC) activation, and eventual cell death due to a failure to progress through mitosis in a timely manner. This was suggested to be due to WDR62’s interaction with Aurora A, a kinase essential for spindle assembly and chromosome segregation [44].

In subsequent years, as more centriole genes were given an MCPH designation, the field shifted to WDR62’s role at the centriole in an attempt to provide a unifying cellular hypothesis for how WDR62 mutations cause microcephaly. Explanations included WDR62’s role at centriolar satellites, centriole duplication, cilia disassembly, and the proper formation of the apical complex to ensure neural stem cell fate, thus leading to the suggestion that MCPH is a ‘centriolopathy’ [10,157,163,164]. Studies in Drosophila echoed these mammalian findings, which showed WDR62 plays a crucial role in maintaining centrosome asymmetry in fly neuroblasts [158].

However, Drosophila studies in recent years have added an additional layer of complexity, while highlighting the multifunctional nature of WDR62 in a cell-type specific manner. While mammalian studies focused exclusively on neurogenic lineages (neural stem cells and their descendants), Lim et.al took advantage of the Gal4/UAS system in Drosophila to test whether WDR62’s function in neuroblasts (neural stem cells) or other cell types, such as neurons and glia, was responsible for the microcephaly phenotype [165]. Surprisingly, RNAi depletion of WDR62 specifically in glia caused a microcephaly phenotype, whereas depletion in neuroblasts had no effect on brain size despite a decrease in the number of neuroblasts. In parallels to mammals, WDR62’s function in Drosophila glia required Aurora A kinase [11,44]. Later studies showed that WDR62 mediates a signalling axis to promote cell growth and proliferation to ensure proper brain size, which included activation of Aurora A and AKT signalling to drive MYC expression [166]. Other mammalian studies have also shown that WDR62 modulates JNK signalling by acting as a protein scaffold, which may ensure proper neurogenesis and cortical development [167,168].

Together, these studies highlight the multifunctional nature of WDR62, which has limited our ability to pinpoint the exact cellular mechanism by which loss of this protein contributes to the microcephaly phenotype. However, WDR62’s ability to modulate neurogenic signalling pathways, similar to ASPM, may provide an intriguing path for future studies hoping to identify a unifying mechanism of brain growth and development in MCPH. It also warrants further investigation into the role of mammalian glia biology in the context of MCPH, which has so far remained largely focused on neural stem cells in the aetiology of the disorder.

Ankyrin repeat-and LEM domain-containing protein 2 (ANKLE2)/MCPH16

Of the genes discussed so far in this review, Ankryin Repeat-and LEM Domain- Containing Protein 2 (ANKLE2)/MCPH16 is the newest member of the MPCH family. It was first reported in 2014 by Bellen and colleagues in a study that linked a handful of rare human allele variants of undiagnosed Mendelian diseases to their corresponding Drosophila orthologs. A patient displaying microcephaly and additional brain malformations was confirmed to have compound heterozygous mutations in ANKLE2. To determine if ANKLE2 was responsible for the human microcephaly phenotype, the Drosophila ortholog (dAnkle2) was mutated. Larval brain size was significantly reduced in mutants compared to controls. Importantly, this reduction in brain volume was significantly restored when the human ortholog of Ankle2 was ubiquitously expressed in mutant flies, suggesting that human and fly ANKLE2 share a conserved mechanism(s) that promotes proper brain growth and development while establishing Drosophila as a useful model system for ANKLE2-related MCPH in humans [34]. Additional human mutations in ANKLE2 have since been reported in MCPH patients, establishing its role as a brain growth regulator [169,170].

Early dAnkle2 studies explored its potential roles in mitosis, centriole/centrosome function, and apoptosis in neural stem cells as an initial description of why brain volume might be smaller in dAnkle2 mutants. Flies carrying dAnkle2 mutations were shown to have a significant reduction in the total number of neuroblasts, reduced cell proliferation, and a massive amount of apoptosis in the developing brain, which could be rescued by expression of a human ANKLE2 cDNA. However, spindle orientation was not significantly affected in those cells that were able to divide, and no obvious defects were seen in centriole/centrosome function [34].

If mitotic spindle and centriolar contributions cannot fully explain the ANKLE2 microcephaly phenotype, what other functions does it possess in cells? Like the other MCPH genes in this review, ANKLE2 has multifunctional roles and probably plays a role in a number of different cellular processes that can converge on reduced cell proliferation rates and death. It might also influence broad processes such as transcription, translation, or phosphorylation levels in the cell. To do so would imply the existence of multiple protein domains. Indeed, ANLKE2 contains a LEM (LAP2, Emerin and MAN1) domain, which facilitates localization to the inner nuclear membrane (INM) and can also bind to nuclear lamins [171]. It also has multiple ankryin repeats, which can mediate protein-protein interactions, a caulimovirus domain that promotes interactions with protein phosphatase 2A (PP2A), along with uncharacterized C-terminal domains that are essential for the ability of ANKLE2 to promote proper brain size [34,47,172,173].

Much of the focus has revolved around ANKLE2’s function at the nuclear envelope (NE), where it acts to facilitate timely reassembly following mitotic exit. This occurs through ANKLE2’s ability to regulate the phosphorylation state of barrier to autointegration factor (BAF), which is essential for NE breakdown and reassembly dynamics during mitosis. ANKLE2 does this through its interaction with PP2A and the kinase VRK-1, where it promotes PP2A’s ability to dephosphorylate BAF upon mitotic exit and partially blocks VRK-1 kinase activity, allowing for proper coordination of NE reassembly dynamics following chromosome segregation [173]. The interaction between dAnkle2, PP2A, and VRK-1 (Ballchen) is also conserved in Drosophila, with evidence suggesting that dAnkle2 may be a bona fide regulatory subunit of PP2A [174]. Further support that an ANKLE2/VRK-1/PP2A axis at the NE might be required for proper brain growth comes from the fact that mutations in VRK-1 have also been found in human microcephaly patients [34,175], and PP2A was recently shown to interact with Asp (ASPM/MCPH5) in Drosophila [176].

However, studies in Drosophila have provided additional mechanisms by which dAnkle2, and potentially human ANKLE2, promote proper brain growth. dAnkle2 localizes to both the NE and endoplasmic reticulum (ER) in fly neuroblasts, and its loss causes disruption to these organelles, suggesting dANKLE2 is required for NE and ER morphology. Additionally, dAnkle2 mutations disrupt aPKC and other polarity complex proteins, affecting the ability of neuroblasts to consistently divide asymmetrically due to spindle alignment defects. This phenotype could be alleviated by dose-dependent reductions in VRK-1/Ballchen, and could also restore brain size. This suggests a model where proper segregation of asymmetric determinants is a critical function of dAnkle2 to ensure proper brain size. However, expression of a constitutively active aPKC on its own in dAnkle2 mutants could not rescue the brain size phenotype, suggesting that polarity defects are not the primary contributor to dAnkle2’s microcephaly phenotype. These results highlight dAnkle2’s multifunctional nature, and suggest that its role in multiple cellular processes, even if minor, may collectively be responsible for the microcephaly phenotype [47]. Interestingly, expression of Zika virus protein NS4 behaves nearly identically to dAnkle2 loss, suggesting a common pathway by which environmental and genetic factors converge to affect brain growth and development [47,170,177].

Future outlook for Drosophila as a model for MCPH

In this review, we explored how the fruit fly is relevant to studying the molecular basis of human MCPH and dissected the roles of some of the most commonly mutated genes in the pathogenesis of microcephaly related to neurogenesis. With recent advances in human organoid technology to directly model microcephaly and a shift in NIH initiatives to prioritize human-based research and reduce the use of animals in research, will Drosophila’s extensive track record in uncovering molecular mechanisms relevant to human disease soon be coming to an end [34,163,178–180]?

We certainly do not think so. While human organoid models can undoubtedly provide significant insights into the aetiology of human MCPH, particularly organoids derived from induced pluripotent stem cells (iPSCs) taken from MCPH patients who may have novel allele variants, they still lack a few key attributes that limit their use as the sole MCPH model system or for NDDs in general [181,182]. While these limitations have been reviewed elsewhere, it is worth highlighting that the remarkable complexity by which brain development and function cannot yet be fully recapitulated in vitro, and the issue of reproducibility due to the heterogeneous nature by which organoids develop – there can be significant differences in brain organoid size, even from those generated from wildtype cells [183,184]. Since MCPH is clinically defined as a reduction in overall head and brain size compared to the general population, it necessitates the use of an entire organism to accurately assess phenotypes upon genetic manipulation. It also requires an organism to provide the correct suite of cell and developmental signals to generate a fully functional and remarkably complex brain.

Thus, Drosophila will remain a powerful and indispensable model for uncovering molecular mechanisms relevant to human MCPH. With recent advances in genetic manipulation strategies (e.g. CRISPR/Cas systems), the establishment of highly accurate, 3D X-ray imaging technologies to precisely measure brain size in intact animals at high resolution and significant knowledge of brain development, architecture and connectivity built on decades of studies by thousands of Drosophila researchers that is unrivalled in higher vertebrate organisms makes flies an essential model for future studies aimed at elucidating the mechanisms of MCPH [35,36,45,185]. We hope that future research in flies will consider the suite of multifunctional roles that MCPH proteins have when interpreting experimental results and move beyond correlation. If so, we may be able to finally answer the question of whether there is a unifying molecular mechanism underlying MCPH, or if it’s a bit more complex, much like the brain itself.

Acknowledgments

We thank Ryan O’Neil, Dorothy Lerit, and members of the Schoborg lab for discussions that shaped the perspectives outlined in this review.

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Funding Statement

The work in the Schoborg lab is supported by the National Institutes of Health (NIGMS 1R35GM155195-01 to TS) and an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under Grant # 2P20GM103432 (WY INBRE).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data reported in this review are available upon request.

References

  • [1].Jackson AP, McHale DP, Campbell DA, et al. Primary autosomal recessive microcephaly (MCPH1) maps to chromosome 8p22-pter. Am J Hum Genet. 1998;63(2):541–21. doi: 10.1086/301966 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2].Amberger JS, Bocchini CA, Scott AF, et al. Omim.org: leveraging knowledge across phenotype-gene relationships. Nucleic Acids Res. 2019;47(D1):D1038–43. doi: 10.1093/nar/gky1151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Paridaen JTML, Huttner WB.. Neurogenesis during development of the vertebrate central nervous system. EMBO Rep. 2014;15(4):351–364. doi: 10.1002/embr.201438447 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4].Herculano-Houzel S, Collins CE, Wong P, et al. Cellular scaling rules for primate brains. Proc Natl Acad Sci USA. 2007;104(9):3562–3567. doi: 10.1073/pnas.0611396104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Herculano-Houzel S. The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost. Proc Natl Acad Sci USA. 2012;Suppl 109(supplement_1):10661–10668. doi: 10.1073/pnas.1201895109 [DOI] [Google Scholar]
  • [6].Azevedo FAC, Carvalho LRB, Grinberg LT, et al. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol. 2009;513(5):532–541. doi: 10.1002/cne.21974 [DOI] [PubMed] [Google Scholar]
  • [7].Herculano-Houzel S, Mota B, Lent R. Cellular scaling rules for rodent brains. Proc Natl Acad Sci USA. 2006;103(32):12138–12143. doi: 10.1073/pnas.0604911103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Thornton GK, Woods CG. Primary microcephaly: do all roads lead to Rome? Trends Genet. 2009;25(11):501–510. doi: 10.1016/j.tig.2009.09.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Schoborg T, Zajac AL, Fagerstrom CJ, et al. An Asp-CaM complex is required for centrosome-pole cohesion and centrosome inheritance in neural stem cells. J Cell Biol. 2015;211(5):987–998. doi: 10.1083/jcb.201509054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Jayaraman D, Kodani A, Gonzalez DM, et al. Microcephaly proteins WDR62 and ASPM define a mother centriole complex regulating centriole biogenesis, apical complex, and cell fate. Neuron. 2016;92(4):813–828. doi: 10.1016/j.neuron.2016.09.056 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11].Lim NR, Shohayeb B, Zaytseva O, et al. Glial-specific functions of microcephaly protein WDR62 and interaction with the mitotic kinase AURKA are essential for Drosophila brain growth. STEM Cell Rep. 2017;9(1):32–41. doi: 10.1016/j.stemcr.2017.05.015 [DOI] [Google Scholar]
  • [12].Capecchi MR, Pozner A. Aspm regulates symmetric stem cell division by tuning cyclin E ubiquitination. Nat Commun. 2015;6(1):8763. doi: 10.1038/ncomms9763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Jeffery CJ. Moonlighting proteins. Trends Biochem Sci. 1999;24(1):8–11. doi: 10.1016/S0968-0004(98)01335-8 [DOI] [PubMed] [Google Scholar]
  • [14].Espinosa-Cantú A, Cruz-Bonilla E, Noda-Garcia L, et al. Multiple forms of multifunctional proteins in health and disease. Front Cell Dev Biol. 2020;8:451. doi: 10.3389/fcell.2020.00451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Chapple CE, Robisson B, Spinelli L, et al. Extreme multifunctional proteins identified from a human protein interaction network. Nat Commun. 2015;6(1):7412. doi: 10.1038/ncomms8412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16].Du A, Zipkin AM, Hatala KG, et al. Pattern and process in hominin brain size evolution are scale-dependent. Proc Biol Sci. 2018;285(1873):285. doi: 10.1098/rspb.2017.2738 [DOI] [Google Scholar]
  • [17].Kurtz AB, Wapner RJ, Rubin CS, et al. Ultrasound criteria for in utero diagnosis of microcephaly. J Clin Ultrasound. 1980;8(1):11–16. doi: 10.1002/jcu.1870080104 [DOI] [PubMed] [Google Scholar]
  • [18].Chervenak FA, Jeanty P, Cantraine F, et al. The diagnosis of fetal microcephaly. Am J Obstet Gynecol. 1984;149(5):512–517. doi: 10.1016/0002-9378(84)90027-9 [DOI] [PubMed] [Google Scholar]
  • [19].Gelber SE, Grünebaum A, Chervenak FA. Prenatal screening for microcephaly: an update after three decades. J Perinat Med. 2017;45(2):167–170. doi: 10.1515/jpm-2016-0220 [DOI] [PubMed] [Google Scholar]
  • [20].Woods CG, Parker A. Investigating microcephaly. Arch Dis Child. 2013;98(9):707–713. doi: 10.1136/archdischild-2012-302882 [DOI] [PubMed] [Google Scholar]
  • [21].Becerra-Solano LE, Mateos-Sánchez L, López-Muñoz E. Microcephaly, an etiopathogenic vision. Pediatr Neonatol. 2021;62(4):354–360. doi: 10.1016/j.pedneo.2021.05.008 [DOI] [PubMed] [Google Scholar]
  • [22].von der Hagen M, Pivarcsi M, Liebe J, et al. Diagnostic approach to microcephaly in childhood: a two-center study and review of the literature. Dev Med Child Neurol. 2014;56(8):732–741. doi: 10.1111/dmcn.12425 [DOI] [PubMed] [Google Scholar]
  • [23].Nahmias AJ, Walls KW, Stewart JA, et al. The TORCH complex-perinatal infections associated with toxoplasma and rubella, cytomegalovirus and herpes simplex viruses. Pediatr Res. 1971;5(8):405–406. doi: 10.1203/00006450-197108000-00144 [DOI] [Google Scholar]
  • [24].Coyne CB, Lazear HM. Zika virus - reigniting the TORCH. Nat Rev Microbiol. 2016;14(11):707–715. doi: 10.1038/nrmicro.2016.125 [DOI] [PubMed] [Google Scholar]
  • [25].Hanzlik E, Gigante J. Microcephaly. Children (Basel). 2017;4(6):47. doi: 10.3390/children4060047 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Phan TP, Holland AJ. Time is of the essence: the molecular mechanisms of primary microcephaly. Genes Dev. 2021;35(23–24):1551–1578. doi: 10.1101/gad.348866.121 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27].Zaqout S, Kaindl AM. Autosomal recessive primary microcephaly: not just a small brain. Front Cell Dev Biol. 2021;9:784700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Asif M, Abdullah U, Nürnberg P, et al. Congenital microcephaly: a debate on diagnostic challenges and etiological paradigm of the shift from isolated/non-syndromic to syndromic microcephaly. Cells. 2023;12(4):12. doi: 10.3390/cells12040642 [DOI] [Google Scholar]
  • [29].Cowie V. The genetics and sub-classification of microcephaly. J Ment Defic Res. 1960;4(1):42–47. doi: 10.1111/j.1365-2788.1960.tb00751.x [DOI] [PubMed] [Google Scholar]
  • [30].Ugur B, Chen K, Bellen HJ. Drosophila tools and assays for the study of human diseases. Dis Model Mech. 2016;9(3):235–244. doi: 10.1242/dmm.023762 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [31].Adams MD, Celniker SE, Holt RA, et al. The genome sequence of Drosophila melanogaster. Science. 2000;287(5461):2185–2195. doi: 10.1126/science.287.5461.2185 [DOI] [PubMed] [Google Scholar]
  • [32].Mohr SE, Perrimon N. Drosophila melanogaster: a simple system for understanding complexity. Dis Model Mech. 2019;12(10):12. doi: 10.1242/dmm.041871 [DOI] [Google Scholar]
  • [33].Mariano V, Achsel T, Bagni C, et al. Modelling learning and memory in Drosophila to understand intellectual disabilities. Neuroscience. 2020;445:12–30. doi: 10.1016/j.neuroscience.2020.07.034 [DOI] [PubMed] [Google Scholar]
  • [34].Yamamoto S, Jaiswal M, Charng W-L, et al. A Drosophila genetic resource of mutants to study mechanisms underlying human genetic diseases. Cell. 2014;159(1):200–214. doi: 10.1016/j.cell.2014.09.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [35].Winding M, Pedigo BD, Barnes CL, et al. The connectome of an insect brain. Science. 2023;379(6636):eadd9330. doi: 10.1126/science.add9330 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Dorkenwald S, Matsliah A, Sterling AR, et al. Neuronal wiring diagram of an adult brain. Nature. 2024;634(8032):124–138. doi: 10.1038/s41586-024-07558-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [37].Clark MQ, Zarin AA, Carreira-Rosario A, et al. Neural circuits driving larval locomotion in Drosophila. Neural Dev. 2018;13(1):6. doi: 10.1186/s13064-018-0103-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [38].Felsenberg J. Changing memories on the fly: the neural circuits of memory re-evaluation in Drosophila melanogaster. Curr Opin Neurobiol. 2020;67:190–198. [DOI] [PubMed] [Google Scholar]
  • [39].Sapkal N, Mancini N, Kumar DS, et al. Neural circuit mechanisms underlying context-specific halting in Drosophila. Nature. 2024;634(8032):191–200. doi: 10.1038/s41586-024-07854-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [40].Hunter I, Coulson B, Zarin AA, et al. The Drosophila larval locomotor circuit provides a model to understand neural circuit development and function. Front Neural Circuits. 2021;15:684969. doi: 10.3389/fncir.2021.684969 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [41].Mannino MC, Cassidy MB, Florez S, et al. Mutations in abnormal spindle disrupt temporal transcription factor expression and trigger immune responses in the Drosophila brain. Genetics. 2023;225(4):225. doi: 10.1093/genetics/iyad188 [DOI] [Google Scholar]
  • [42].Kim H-T, Lee M-S, Choi J-H, et al. The microcephaly gene ASPM is involved in brain development in zebrafish. Biochem Biophys Res Commun. 2011;409(4):640–644. doi: 10.1016/j.bbrc.2011.05.056 [DOI] [PubMed] [Google Scholar]
  • [43].Pulvers JN, Bryk J, Fish JL, et al. Mutations in mouse ASPM (abnormal spindle-like microcephaly associated) cause not only microcephaly but also major defects in the germline. Proc Natl Acad Sci USA. 2010;107(38):16595–16600. doi: 10.1073/pnas.1010494107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [44].Chen J-F, Zhang Y, Wilde J, et al. Microcephaly disease gene Wdr62 regulates mitotic progression of embryonic neural stem cells and brain size. Nat Commun. 2014;5(1):3885. doi: 10.1038/ncomms4885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [45].Schoborg TA, Smith SL, Smith LN, et al. Micro-computed tomography as a platform for exploring Drosophila development. Development. 2019;146(23). doi: 10.1242/dev.176685 [DOI] [Google Scholar]
  • [46].Chakraborty S, Govaerts J, Hawke A, et al. The microcephaly protein abnormal spindle has an essential role in symmetrically dividing neural precursors to promote brain growth and development. bioRxiv. 2025.
  • [47].Link N, Chung H, Jolly A, et al. Mutations in ANKLE2, a Zika virus target, disrupt an asymmetric cell division pathway in Drosophila neuroblasts to cause microcephaly. Dev Cell. 2019;51(6):713–729.e6. doi: 10.1016/j.devcel.2019.10.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [48].Shih J, Hodge R, Andrade-Navarro MA. Comparison of inter- and intraspecies variation in humans and fruit flies. Genom Data. 2015;3:49–54. doi: 10.1016/j.gdata.2014.11.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [49].Lerit DA, Rusan NM. PLP inhibits the activity of interphase centrosomes to ensure their proper segregation in stem cells. J Cell Biol. 2013;202(7):1013–1022. doi: 10.1083/jcb.201303141 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [50].Galletta BJ, Guillen RX, Fagerstrom CJ, et al. Drosophila pericentrin requires interaction with calmodulin for its function at centrosomes and neuronal basal bodies but not at sperm basal bodies. Mol Biol Cell. 2014;25(18):2682–2694. doi: 10.1091/mbc.e13-10-0617 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [51].Klingseisen A, Jackson AP. Mechanisms and pathways of growth failure in primordial dwarfism. Genes Dev. 2011;25(19):2011–2024. doi: 10.1101/gad.169037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [52].Zheng Y, Mennella V, Marks S, et al. The Seckel syndrome and centrosomal protein Ninein localizes asymmetrically to stem cell centrosomes but is not required for normal development, behavior, or DNA damage response in Drosophila. Mol Biol Cell. 2016;27(11):1740–1752. doi: 10.1091/mbc.e15-09-0655 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [53].O’Neill RS, Rusan NM. Traip controls mushroom body size by suppressing mitotic defects. Development. 2022;149(7):149. doi: 10.1242/dev.199987 [DOI] [Google Scholar]
  • [54].Scheffer LK, Xu CS, Januszewski M, et al. A connectome and analysis of the adult Drosophila central brain. Elife. 2020;9. doi: 10.7554/eLife.57443 [DOI] [Google Scholar]
  • [55].Herculano-Houzel S. The human brain in numbers: a linearly scaled-up primate brain. Front Hum Neurosci. 2009;3:31. doi: 10.3389/neuro.09.031.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [56].Mira H, Morante J. Neurogenesis from embryo to adult - lessons from flies and mice. Front Cell Dev Biol. 2020;8:533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [57].Kintner C. Neurogenesis in embryos and in adult neural stem cells. J Neurosci. 2002;22(3):639–643. doi: 10.1523/JNEUROSCI.22-03-00639.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [58].Holguera I, Desplan C. Neuronal specification in space and time. Science. 2018;362(6411):176–180. doi: 10.1126/science.aas9435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [59].Doe CQ. Temporal patterning in the Drosophila CNS. Annu Rev Cell Dev Biol. 2017;33(1):219–240. doi: 10.1146/annurev-cellbio-111315-125210 [DOI] [PubMed] [Google Scholar]
  • [60].Villalba A, Götz M, Borrell V. The regulation of cortical neurogenesis. Curr Top Dev Biol. 2021;142:1–66. [DOI] [PubMed] [Google Scholar]
  • [61].Rubenstein J, Rakic P, Chen B, et al. Patterning and cell type specification in the developing CNS and PNS: comprehensive developmental neuroscience. 2nd ed. London, (UK): Academic Press; 2020. [Google Scholar]
  • [62].Yu RK, Itokazu Y. Glycolipid and glycoprotein expression during neural development. Adv Neurobiol. 2014;9:185–222. [DOI] [PubMed] [Google Scholar]
  • [63].Barry DS, Pakan JMP, McDermott KW. Radial glial cells: key organisers in CNS development. Int J Biochem Cell Biol. 2014;46:76–79. doi: 10.1016/j.biocel.2013.11.013 [DOI] [PubMed] [Google Scholar]
  • [64].Miranda-Negrón Y, García-Arrarás JE. Radial glia and radial glia-like cells: their role in neurogenesis and regeneration. Front Neurosci. 2022;16:1006037. doi: 10.3389/fnins.2022.1006037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [65].Homem CCF, Knoblich JA. Drosophila neuroblasts: a model for stem cell biology. Development. 2012;139(23):4297–4310. doi: 10.1242/dev.080515 [DOI] [PubMed] [Google Scholar]
  • [66].Spéder P, Brand AH. Systemic and local cues drive neural stem cell niche remodelling during neurogenesis in Drosophila. Elife. 2018;7. doi: 10.7554/eLife.30413 [DOI] [Google Scholar]
  • [67].Spéder P, Brand AH. Gap junction proteins in the blood-brain barrier control nutrient-dependent reactivation of Drosophila neural stem cells. Dev Cell. 2014;30(3):309–321. doi: 10.1016/j.devcel.2014.05.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [68].Álvarez J-A, Díaz-Benjumea FJ. Origin and specification of type II neuroblasts in the Drosophila embryo. Development. 2018;145(7). doi: 10.1242/dev.158394 [DOI] [Google Scholar]
  • [69].Walsh KT, Doe CQ. Drosophila embryonic type II neuroblasts: origin, temporal patterning, and contribution to the adult central complex. Development. 2017;144(24):4552–4562. doi: 10.1242/dev.157826 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [70].Rethemeier S, Fritzsche S, Mühlen D, et al. Differences in size and number of embryonic type-II neuroblast lineages are associated with divergent timing of central complex development between beetle and fly. 2024.
  • [71].Li G, Hidalgo A. Adult neurogenesis in the Drosophila brain: the evidence and the void. Int J Mol Sci. 2020;21(18):21. doi: 10.3390/ijms21186653 [DOI] [Google Scholar]
  • [72].Saini N, Reichert H. Neural stem cells in Drosophila: molecular genetic mechanisms underlying normal neural proliferation and abnormal brain tumor formation. STEM Cells Int. 2012;2012:486169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [73].Hakes AE, Otsuki L, Brand AH. A newly discovered neural stem cell population is generated by the optic lobe neuroepithelium during embryogenesis in Drosophila melanogaster. Development. 2018;145(18). doi: 10.1242/dev.166207 [DOI] [Google Scholar]
  • [74].Brand AH, Livesey FJ. Neural stem cell biology in vertebrates and invertebrates: more alike than different? Neuron. 2011;70(4):719–729. doi: 10.1016/j.neuron.2011.05.016 [DOI] [PubMed] [Google Scholar]
  • [75].Fish JL, Kosodo Y, Enard W, et al. Aspm specifically maintains symmetric proliferative divisions of neuroepithelial cells. Proc Natl Acad Sci USA. 2006;103(27):10438–10443. doi: 10.1073/pnas.0604066103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [76].Egger B, Gold KS, Brand AH. Regulating the balance between symmetric and asymmetric stem cell division in the developing brain. Fly (Austin). 2011;5(3):237–241. doi: 10.4161/fly.5.3.15640 [DOI] [PubMed] [Google Scholar]
  • [77].Del Valle Rodríguez A, Cera M, Portillo JR. A network approach to analyze neuronal lineage and layer innervation in the Drosophila optic lobes. PLOS ONE. 2020;15(2):e0227897. doi: 10.1371/journal.pone.0227897 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [78].Borst A, Drews M, Meier M. The neural network behind the eyes of a fly. Curr Opin Physiol. 2020;16:33–42. doi: 10.1016/j.cophys.2020.05.004 [DOI] [Google Scholar]
  • [79].Nériec N, Desplan C. From the eye to the brain: development of the Drosophila visual system. Curr Top Dev Biol. 2016;116:247–271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [80].Özel MN, Simon F, Jafari S, et al. Neuronal diversity and convergence in a visual system developmental atlas. Nature. 2021;589(7840):88–95. doi: 10.1038/s41586-020-2879-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [81].Morante J, Erclik T, Desplan C. Cell migration in Drosophila optic lobe neurons is controlled by eyeless/Pax6. Development. 2011;138(4):687–693. doi: 10.1242/dev.056069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [82].Chen Z, Del Valle Rodriguez A, Li X, et al. A unique class of neural progenitors in the Drosophila optic lobe generates both migrating neurons and glia. Cell Rep. 2016;15(4):774–786. doi: 10.1016/j.celrep.2016.03.061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [83].Hasegawa E, Kitada Y, Kaido M, et al. Concentric zones, cell migration and neuronal circuits in the Drosophila visual center. Development. 2011;138(5):983–993. doi: 10.1242/dev.058370 [DOI] [PubMed] [Google Scholar]
  • [84].Suzuki T, Sato M. Neurogenesis and neuronal circuit formation in the Drosophila visual center. Dev Growth Differ. 2014;56(7):491–498. doi: 10.1111/dgd.12151 [DOI] [PubMed] [Google Scholar]
  • [85].Zhang Y, Li X. Development of the Drosophila optic lobe. Cold Spring Harb Protoc. 2024;2024(3):108156. doi: 10.1101/pdb.top108156 [DOI] [PubMed] [Google Scholar]
  • [86].Chotard C, Leung W, Salecker I. Glial cells missing and Gcm2 cell autonomously regulate both glial and neuronal development in the visual system of Drosophila. Neuron. 2005;48(2):237–251. doi: 10.1016/j.neuron.2005.09.019 [DOI] [PubMed] [Google Scholar]
  • [87].Colonques J, Ceron J, Tejedor FJ. Segregation of postembryonic neuronal and glial lineages inferred from a mosaic analysis of the Drosophila larval brain. Mech Dev. 2007;124(5):327–340. doi: 10.1016/j.mod.2007.01.004 [DOI] [PubMed] [Google Scholar]
  • [88].Huang Z, Kunes S. Signals transmitted along retinal axons in Drosophila: hedgehog signal reception and the cell circuitry of lamina cartridge assembly. Development. 1998;125(19):3753–3764. doi: 10.1242/dev.125.19.3753 [DOI] [PubMed] [Google Scholar]
  • [89].Pérez-Gómez R, Slováková J, Rives-Quinto N, et al. A Serrate-Notch-Canoe complex mediates essential interactions between glia and neuroepithelial cells during Drosophila optic lobe development. J Cell Sci. 2013;126:4873–4884. [DOI] [PubMed] [Google Scholar]
  • [90].Zhou Y, Yang Y, Huang Y, et al. Broad promotes neuroepithelial stem cell differentiation in the Drosophila optic lobe. Genetics. 2019;213(3):941–951. doi: 10.1534/genetics.119.302421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [91].Jörg DJ, Caygill EE, Hakes AE, et al. The proneural wave in the Drosophila optic lobe is driven by an excitable reaction-diffusion mechanism. Elife. 2019;8. doi: 10.7554/eLife.40919 [DOI] [Google Scholar]
  • [92].Sato M, Yasugi T, Minami Y, et al. Notch-mediated lateral inhibition regulates proneural wave propagation when combined with EGF-mediated reaction diffusion. Proc Natl Acad Sci USA. 2016;113(35):E5153–62. doi: 10.1073/pnas.1602739113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [93].Yasugi T, Sugie A, Umetsu D, et al. Coordinated sequential action of EGFR and Notch signaling pathways regulates proneural wave progression in the Drosophila optic lobe. Development. 2010;137(19):3193–3203. doi: 10.1242/dev.048058 [DOI] [PubMed] [Google Scholar]
  • [94].Ray A, Li X. A Notch-dependent transcriptional mechanism controls expression of temporal patterning factors in Drosophila medulla. Elife. 2022;11:11. doi: 10.7554/eLife.75879 [DOI] [Google Scholar]
  • [95].Erclik T, Li X, Courgeon M, et al. Integration of temporal and spatial patterning generates neural diversity. Nature. 2017;541(7637):365–370. doi: 10.1038/nature20794 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [96].Li X, Erclik T, Bertet C, et al. Temporal patterning of Drosophila medulla neuroblasts controls neural fates. Nature. 2013;498(7455):456–462. doi: 10.1038/nature12319 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [97].El-Danaf RN, Kapuralin K, Rajesh R, et al. Morphological and functional convergence of visual projection neurons from diverse neurogenic origins in Drosophila. Nat Commun. 2025;16(1):698. doi: 10.1038/s41467-025-56059-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [98].Apitz H, Salecker I. Retinal determination genes coordinate neuroepithelial specification and neurogenesis modes in the Drosophila optic lobe. Development. 2016;143(13):2431–2442. doi: 10.1242/dev.135004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [99].Xu C, Ramos TB, Rogers EM, et al. Homeodomain proteins hierarchically specify neuronal diversity and synaptic connectivity. Elife. 2024;12:12. doi: 10.7554/eLife.90133 [DOI] [Google Scholar]
  • [100].Tuthill JC, Nern A, Holtz SL, et al. Contributions of the 12 neuron classes in the fly lamina to motion vision. Neuron. 2013;79(1):128–140. doi: 10.1016/j.neuron.2013.05.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [101].Suzuki T, Hasegawa E, Nakai Y, et al. Formation of neuronal circuits by interactions between neuronal populations derived from different origins in the Drosophila visual center. Cell Rep. 2016;15(3):499–509. doi: 10.1016/j.celrep.2016.03.056 [DOI] [PubMed] [Google Scholar]
  • [102].Zhang Y, Lowe S, Ding AZ, et al. Axon targeting of Drosophila medulla projection neurons requires diffusible Netrin and is coordinated with neuroblast temporal patterning. Cell Rep. 2023;42(3):112144. doi: 10.1016/j.celrep.2023.112144 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [103].Trush O, Liu C, Han X, et al. N-cadherin orchestrates self-organization of neurons within a columnar unit in the Drosophila medulla. J Neurosci. 2019;39(30):5861–5880. doi: 10.1523/JNEUROSCI.3107-18.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [104].Damulewicz M, Mazzotta GM. A one-day journey to the suburbs: circadian clock in the Drosophila visual system. FEBS J. 2025;292(4):727–739. doi: 10.1111/febs.17317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [105].Wu M, Nern A, Williamson WR, et al. Visual projection neurons in the Drosophila lobula link feature detection to distinct behavioral programs. Elife. 2016;5. doi: 10.7554/eLife.21022 [DOI] [Google Scholar]
  • [106].Morimoto MM, Nern A, Zhao A, et al. Spatial readout of visual looming in the central brain of Drosophila. Elife. 2020;9. doi: 10.7554/eLife.57685 [DOI] [Google Scholar]
  • [107].Wei H, Kyung HY, Kim PJ, et al. The diversity of lobula plate tangential cells (LPTCs) in the Drosophila motion vision system. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2020;206(2):139–148. doi: 10.1007/s00359-019-01380-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [108].Zhu Y. The drosophila visual system: from neural circuits to behavior. Cell Adh Migr. 2013;7(4):333–344. doi: 10.4161/cam.25521 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [109].Hasan AQ, Madlool MM. Microcephaly. In: AlAli K, Hashim H, editors. Congenital brain malformations: clinical and surgical aspects. Cham: Springer Nature Switzerland; 2024. p. 125–144. [Google Scholar]
  • [110].Wu X, Li Z, Wang Z-Q, et al. The neurological and non-neurological roles of the primary microcephaly-associated protein ASPM. Front Neurosci. 2023;17:1242448. doi: 10.3389/fnins.2023.1242448 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [111].Razuvaeva AV, Graziadio L, Palumbo V, et al. The multiple mitotic roles of the ASPM orthologous proteins: insight into the etiology of ASPM-dependent microcephaly. Cells. 2023;12(6):12. doi: 10.3390/cells12060922 [DOI] [Google Scholar]
  • [112].Ripoll P, Pimpinelli S, Valdivia MM, et al. A cell division mutant of Drosophila with a functionally abnormal spindle. Cell. 1985;41(3):907–912. doi: 10.1016/S0092-8674(85)80071-4 [DOI] [PubMed] [Google Scholar]
  • [113].Gonzalez C, Sunkel CE, Glover DM. Interactions between Mgr, Asp, and Polo: asp function modulated by Polo and needed to maintain the poles of monopolar and bipolar spindles. Chromosoma. 1998;107(6–7):452–460. doi: 10.1007/s004120050329 [DOI] [PubMed] [Google Scholar]
  • [114].Wakefield JG, Bonaccorsi S, Gatti M. The Drosophila protein Asp is involved in microtubule organization during spindle formation and cytokinesis. J Cell Biol. 2001;153(4):637–648. doi: 10.1083/jcb.153.4.637 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [115].Do Carmo Avides M, Glover DM. Abnormal spindle protein, ASP, and the integrity of mitotic centrosomal microtubule organizing centers. Science. 1999;283(5408):1733–1735. doi: 10.1126/science.283.5408.1733 [DOI] [PubMed] [Google Scholar]
  • [116].Bosveld F, Ainslie A, Bellaïche Y. Sequential activities of dynein, Mud and Asp in centrosome-spindle coupling maintain centrosome number upon mitosis. J Cell Sci. 2017;130(20):3557–3567. doi: 10.1242/jcs.201350 [DOI] [PubMed] [Google Scholar]
  • [117].Saunders RD, Avides MC, Howard T, et al. The Drosophila gene abnormal spindle encodes a novel microtubule-associated protein that associates with the polar regions of the mitotic spindle. J Cell Biol. 1997;137(4):881–890. doi: 10.1083/jcb.137.4.881 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [118].Ito A, Goshima G. Microcephaly protein Asp focuses the minus ends of spindle microtubules at the pole and within the spindle. J Cell Biol. 2015;211(5):999–1009. doi: 10.1083/jcb.201507001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [119].Bond J, Roberts E, Mochida GH, et al. Aspm is a major determinant of cerebral cortical size. Nat Genet. 2002;32(2):316–320. doi: 10.1038/ng995 [DOI] [PubMed] [Google Scholar]
  • [120].Rujano MA, Sanchez-Pulido L, Pennetier C, et al. The microcephaly protein Asp regulates neuroepithelium morphogenesis by controlling the spatial distribution of myosin II. Nat Cell Biol. 2013;15(11):1294–1306. doi: 10.1038/ncb2858 [DOI] [PubMed] [Google Scholar]
  • [121].Pai VC, Hsu C-C, Chan T-S, et al. Aspm promotes prostate cancer stemness and progression by augmenting Wnt-dvl-3-β-catenin signaling. Oncogene. 2019;38(8):1340–1353. doi: 10.1038/s41388-018-0497-4 [DOI] [PubMed] [Google Scholar]
  • [122].Cheng L-H, Hsu C-C, Tsai H-W, et al. Aspm activates hedgehog and Wnt signaling to promote small cell lung cancer stemness and progression. Cancer Res. 2023;83(6):830–844. doi: 10.1158/0008-5472.CAN-22-2496 [DOI] [PubMed] [Google Scholar]
  • [123].Buchman JJ, Durak O, Tsai L-H. Aspm regulates Wnt signaling pathway activity in the developing brain. Genes Dev. 2011;25(18):1909–1914. doi: 10.1101/gad.16830211 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [124].Hsu C-C, Liao W-Y, Chan T-S, et al. The differential distributions of ASPM isoforms and their roles in Wnt signaling, cell cycle progression, and pancreatic cancer prognosis. J Pathol. 2019;249(4):498–508. doi: 10.1002/path.5341 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [125].Zhang H, Yang X, Zhu L, et al. Aspm promotes hepatocellular carcinoma progression by activating Wnt/β-catenin signaling through antagonizing autophagy-mediated Dvl2 degradation. FEBS Open Bio. 2021;11(10):2784–2799. doi: 10.1002/2211-5463.13278 [DOI] [Google Scholar]
  • [126].Major MB, Roberts BS, Berndt JD, et al. New regulators of Wnt/beta-catenin signaling revealed by integrative molecular screening. Sci Signal. 2008;1(45):ra12. doi: 10.1126/scisignal.2000037 [DOI] [PubMed] [Google Scholar]
  • [127].Tsai KK, Bae B-I, Hsu C-C, et al. Oncogenic ASPM is a regulatory hub of developmental and stemness signaling in cancers. Cancer Res. 2023;83(18):2993–3000. doi: 10.1158/0008-5472.CAN-23-0158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [128].Jackson AP, Eastwood H, Bell SM, et al. Identification of microcephalin, a protein implicated in determining the size of the human brain. Am J Hum Genet. 2002;71(1):136–142. doi: 10.1086/341283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [129].Rickmyre JL, Dasgupta S, Ooi D-Y, et al. The drosophila homolog of MCPH1, a human microcephaly gene, is required for genomic stability in the early embryo. J Cell Sci. 2007;120(20):3565–3577. doi: 10.1242/jcs.016626 [DOI] [PubMed] [Google Scholar]
  • [130].Arroyo M, Kuriyama R, Trimborn M, et al. Mcph1, mutated in primary microcephaly, is required for efficient chromosome alignment during mitosis. Sci Rep. 2017;7(1):13019. doi: 10.1038/s41598-017-12793-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [131].Arroyo M, Trimborn M, Sánchez A, et al. Chromosome structure deficiencies in MCPH1 syndrome. Chromosoma. 2015;124(4):491–501. doi: 10.1007/s00412-015-0512-2 [DOI] [PubMed] [Google Scholar]
  • [132].Gavvovidis I, Rost I, Trimborn M, et al. A novel MCPH1 isoform complements the defective chromosome condensation of human MCPH1-deficient cells. PLOS ONE. 2012;7(8):e40387. doi: 10.1371/journal.pone.0040387 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [133].Liang Y, Gao H, Lin S-Y, et al. Brit1/Mcph1 is essential for mitotic and meiotic recombination DNA repair and maintaining genomic stability in mice. PLoS Genet. 2010;6(1):e1000826. doi: 10.1371/journal.pgen.1000826 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [134].Trimborn M, Bell SM, Felix C, et al. Mutations in microcephalin cause aberrant regulation of chromosome condensation. Am J Hum Genet. 2004;75(2):261–266. doi: 10.1086/422855 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [135].Dulic A, Bates PA, Zhang X, et al. Brct domain interactions in the heterodimeric DNA repair protein XRCC1-DNA ligase III. Biochemistry. 2001;40(20):5906–5913. doi: 10.1021/bi002701e [DOI] [PubMed] [Google Scholar]
  • [136].Bork P, Hofmann K, Bucher P, et al. A superfamily of conserved domains in DNA damage-responsive cell cycle checkpoint proteins. Faseb J. 1997;11(1):68–76. doi: 10.1096/fasebj.11.1.9034168 [DOI] [PubMed] [Google Scholar]
  • [137].Rodriguez M, Yu X, Chen J, et al. Phosphopeptide binding specificities of BRCA1 COOH-terminal (BRCT) domains. J Biol Chem. 2003;278(52):52914–52918. doi: 10.1074/jbc.C300407200 [DOI] [PubMed] [Google Scholar]
  • [138].Huyton T, Bates PA, Zhang X, et al. The BRCA1 C-terminal domain: structure and function. Mutat Res. 2000;460(3–4):319–332. doi: 10.1016/S0921-8777(00)00034-3 [DOI] [PubMed] [Google Scholar]
  • [139].Darvish H, Esmaeeli-Nieh S, Monajemi GB, et al. A clinical and molecular genetic study of 112 Iranian families with primary microcephaly. J Med Genet. 2010;47(12):823–828. doi: 10.1136/jmg.2009.076398 [DOI] [PubMed] [Google Scholar]
  • [140].Trimborn M, Ghani M, Walther DJ, et al. Establishment of a mouse model with misregulated chromosome condensation due to defective MCPH1 function. PLOS ONE. 2010;5(2):e9242. doi: 10.1371/journal.pone.0009242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [141].Liu X, Schneble-Löhnert N, Kristofova M, et al. The N-terminal BRCT domain determines MCPH1 function in brain development and fertility. Cell Death Dis. 2021;12(2):143. doi: 10.1038/s41419-021-03406-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [142].Brunk K, Vernay B, Griffith E, et al. Microcephalin coordinates mitosis in the syncytial Drosophila embryo. J Cell Sci. 2007;120(20):3578–3588. doi: 10.1242/jcs.014290 [DOI] [PubMed] [Google Scholar]
  • [143].Gruber R, Zhou Z, Sukchev M, et al. Mcph1 regulates the neuroprogenitor division mode by coupling the centrosomal cycle with mitotic entry through the Chk1-Cdc25 pathway. Nat Cell Biol. 2011;13(11):1325–1334. doi: 10.1038/ncb2342 [DOI] [PubMed] [Google Scholar]
  • [144].Nishide K, Hirano T. Overlapping and non-overlapping functions of condensins I and II in neural stem cell divisions. PLoS Genet. 2014;10(12):e1004847. doi: 10.1371/journal.pgen.1004847 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [145].Chen C-P, Lin S-P, Chern S-R, et al. A de novo 7.9 mb deletion in 22q13.2→qter in a boy with autistic features, epilepsy, developmental delay, atopic dermatitis and abnormal immunological findings. Eur J Med Genet. 2010;53(5):329–332. doi: 10.1016/j.ejmg.2010.06.004 [DOI] [PubMed] [Google Scholar]
  • [146].Ji T, Wu Y, Wang H, et al. Diagnosis and fine mapping of a deletion in distal 11q in two Chinese patients with developmental delay. J Hum Genet. 2010;55(8):486–489. doi: 10.1038/jhg.2010.51 [DOI] [PubMed] [Google Scholar]
  • [147].Perche O, Menuet A, Marcos M, et al. Combined deletion of two condensin II system genes (NCAPG2 and MCPH1) in a case of severe microcephaly and mental deficiency. Eur J Med Genet. 2013;56(11):635–641. doi: 10.1016/j.ejmg.2013.07.007 [DOI] [PubMed] [Google Scholar]
  • [148].Khan TN, Khan K, Sadeghpour A, et al. Mutations in NCAPG2 cause a severe neurodevelopmental syndrome that expands the phenotypic spectrum of condensinopathies. Am J Hum Genet. 2019;104(1):94–111. doi: 10.1016/j.ajhg.2018.11.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [149].Martin C-A, Murray JE, Carroll P, et al. Mutations in genes encoding condensin complex proteins cause microcephaly through decatenation failure at mitosis. Genes Dev. 2016;30(19):2158–2172. doi: 10.1101/gad.286351.116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [150].Wood JL, Liang Y, Li K, et al. Microcephalin/MCPH1 associates with the condensin II complex to function in homologous recombination repair. J Biol Chem. 2008;283(43):29586–29592. doi: 10.1074/jbc.M804080200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [151].Houlard M, Cutts EE, Shamim MS, et al. Mcph1 inhibits condensin II during interphase by regulating its SMC2-kleisin interface. Elife. 2021;10:10. doi: 10.7554/eLife.73348 [DOI] [Google Scholar]
  • [152].Crawford BI, Talley MJ, Russman J, et al. Condensin-mediated restriction of retrotransposable elements facilitates brain development in Drosophila melanogaster. Nat Commun. 2024;15(1):2716. doi: 10.1038/s41467-024-47042-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [153].Sajid Hussain M, Marriam Bakhtiar S, Farooq M, et al. Genetic heterogeneity in Pakistani microcephaly families. Clin Genet. 2013;83(5):446–451. doi: 10.1111/j.1399-0004.2012.01932.x [DOI] [PubMed] [Google Scholar]
  • [154].Bilgüvar K, Oztürk AK, Louvi A, et al. Whole-exome sequencing identifies recessive WDR62 mutations in severe brain malformations. Nature. 2010;467(7312):207–210. doi: 10.1038/nature09327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [155].Jain BP, Pandey S. Wd40 repeat proteins: signalling scaffold with diverse functions. Protein J. 2018;37(5):391–406. doi: 10.1007/s10930-018-9785-7 [DOI] [PubMed] [Google Scholar]
  • [156].Sgourdou P, Mishra-Gorur K, Saotome I, et al. Disruptions in asymmetric centrosome inheritance and WDR62-Aurora kinase B interactions in primary microcephaly. Sci Rep. 2017;7(1):43708. doi: 10.1038/srep43708 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [157].Kodani A, Yu TW, Johnson JR, et al. Centriolar satellites assemble centrosomal microcephaly proteins to recruit CDK2 and promote centriole duplication. Elife. 2015;4:4. doi: 10.7554/eLife.07519 [DOI] [Google Scholar]
  • [158].Ramdas Nair A, Singh P, Salvador Garcia D, et al. The microcephaly-associated protein Wdr62/CG7337 is required to maintain centrosome asymmetry in Drosophila neuroblasts. Cell Rep. 2016;14(5):1100–1113. doi: 10.1016/j.celrep.2015.12.097 [DOI] [PubMed] [Google Scholar]
  • [159].Miyamoto T, Akutsu SN, Fukumitsu A, et al. PLK1-mediated phosphorylation of WDR62/MCPH2 ensures proper mitotic spindle orientation. Hum Mol Genet. 2017;26(22):4429–4440. doi: 10.1093/hmg/ddx330 [DOI] [PubMed] [Google Scholar]
  • [160].Bogoyevitch MA, Yeap YYC, Qu Z, et al. Wd40-repeat protein 62 is a jnk-phosphorylated spindle pole protein required for spindle maintenance and timely mitotic progression. J Cell Sci. 2012;125:5096–5109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [161].Huang J, Liang Z, Guan C, et al. WDR62 regulates spindle dynamics as an adaptor protein between TPX2/Aurora A and katanin. J Cell Biol. 2021;220(8):220. doi: 10.1083/jcb.202007167 [DOI] [Google Scholar]
  • [162].Shohayeb B, Ho UY, Hassan H, et al. The spindle-associated microcephaly protein, WDR62, is required for neurogenesis and development of the hippocampus. Front Cell Dev Biol. 2020;8:549353. doi: 10.3389/fcell.2020.549353 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [163].Zhang W, Yang S-L, Yang M, et al. Modeling microcephaly with cerebral organoids reveals a WDR62-CEP170-KIF2A pathway promoting cilium disassembly in neural progenitors. Nat Commun. 2019;10(1):2612. doi: 10.1038/s41467-019-10497-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [164].Shohayeb B, Ho U, Yeap YY, et al. The association of microcephaly protein WDR62 with CPAP/IFT88 is required for cilia formation and neocortical development. Hum Mol Genet. 2020;29(2):248–263. doi: 10.1093/hmg/ddz281 [DOI] [PubMed] [Google Scholar]
  • [165].Brand AH, Perrimon N. Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development. 1993;118(2):401–415. doi: 10.1242/dev.118.2.401 [DOI] [PubMed] [Google Scholar]
  • [166].Shohayeb B, Mitchell N, Millard SS, et al. Elevated levels of drosophila Wdr62 promote glial cell growth and proliferation through AURKA signalling to AKT and MYC. Biochim Biophys Acta Mol Cell Res. 2020;1867(7):118713. doi: 10.1016/j.bbamcr.2020.118713 [DOI] [PubMed] [Google Scholar]
  • [167].Wasserman T, Katsenelson K, Daniliuc S, et al. A novel c-Jun N-terminal kinase (JNK)-binding protein WDR62 is recruited to stress granules and mediates a nonclassical JNK activation. Mol Biol Cell. 2010;21(1):117–130. doi: 10.1091/mbc.e09-06-0512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [168].Xu D, Zhang F, Wang Y, et al. Microcephaly-associated protein WDR62 regulates neurogenesis through JNK1 in the developing neocortex. Cell Rep. 2014;6(1):104–116. doi: 10.1016/j.celrep.2013.12.016 [DOI] [PubMed] [Google Scholar]
  • [169].Shaheen R, Maddirevula S, Ewida N, et al. Genomic and phenotypic delineation of congenital microcephaly. Genet Med. 2019;21(3):545–552. doi: 10.1038/s41436-018-0140-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [170].Thomas AX, Link N, Robak LA, et al. Ankle2-related microcephaly: a variable microcephaly syndrome resembling Zika infection. Ann Clin Transl Neurol. 2022;9(8):1276–1288. doi: 10.1002/acn3.51629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [171].Wagner N, Krohne G. Lem-domain proteins: new insights into lamin-interacting proteins. Int Rev Cytol. 2007;261:1–46. [DOI] [PubMed] [Google Scholar]
  • [172].Fishburn AT, Florio CJ, Lopez NJ, et al. Molecular functions of ANKLE2 and its implications in human disease. Dis Model Mech. 2024;17(4):17. doi: 10.1242/dmm.050554 [DOI] [Google Scholar]
  • [173].Asencio C, Davidson IF, Santarella-Mellwig R, et al. Coordination of kinase and phosphatase activities by Lem4 enables nuclear envelope reassembly during mitosis. Cell. 2012;150(1):122–135. doi: 10.1016/j.cell.2012.04.043 [DOI] [PubMed] [Google Scholar]
  • [174].Li J, Wang X, Jordana L, et al. Mechanisms of PP2A-Ankle2 dependent nuclear reassembly after mitosis. 2025.
  • [175].Gonzaga-Jauregui C, Lotze T, Jamal L, et al. Mutations in VRK1 associated with complex motor and sensory axonal neuropathy plus microcephaly. JAMA Neurol. 2013;70:1491–1498. doi: 10.1001/jamaneurol.2013.4598 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [176].Quiniou M, Burns MC, McDermott A, et al. The PP2A-B56 binding site LxxIxE contributes to Asp-mediated spindle pole stability. Cytoskeleton (Hoboken). 2025. doi: 10.1002/cm.22013 [DOI] [Google Scholar]
  • [177].Shah PS, Link N, Jang GM, et al. Comparative flavivirus-host protein interaction mapping reveals mechanisms of dengue and Zika virus pathogenesis. Cell. 2018;175(7):1931–1945.e18. doi: 10.1016/j.cell.2018.11.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [178].Lancaster MA, Renner M, Martin C-A, et al. Cerebral organoids model human brain development and microcephaly. Nature. 2013;501(7467):373–379. doi: 10.1038/nature12517 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [179].Farcy S, Albert A, Gressens P, et al. Cortical organoids to model microcephaly. Cells. 2022;11(14):11. doi: 10.3390/cells11142135 [DOI] [Google Scholar]
  • [180].Nih funding announcements to align with NIH initiative to prioritize human-based research | grants & funding [Internet]. [cited 2025. Aug 12]; Available from: https://grants.nih.gov/news-events/nih-extramural-nexus-news/2025/07/nih-funding-announcements-to-align-with-nih-initiative-to-prioritize-human-based-research
  • [181].Gabriel E, Ramani A, Altinisik N, et al. Human brain organoids to decode mechanisms of microcephaly. Front Cell Neurosci. 2020;14:115. doi: 10.3389/fncel.2020.00115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [182].Urrestizala-Arenaza N, Cerchio S, Cavaliere F, et al. Limitations of human brain organoids to study neurodegenerative diseases: a manual to survive. Front Cell Neurosci. 2024;18:1419526. doi: 10.3389/fncel.2024.1419526 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [183].Luo D, Xu J, Liu F, et al. Advances and challenges in cerebral organoids research. Adv nanobio Res. 2024;4(5):4. doi: 10.1002/anbr.202300126 [DOI] [Google Scholar]
  • [184].Sandoval SO, Cappuccio G, Kruth K, et al. Rigor and reproducibility in human brain organoid research: where we are and where we need to go. STEM Cell Rep. 2024;19(6):796–816. doi: 10.1016/j.stemcr.2024.04.008 [DOI] [Google Scholar]
  • [185].Port F, Strein C, Stricker M, et al. A large-scale resource for tissue-specific CRISPR mutagenesis in Drosophila. Elife. 2020;9. doi: 10.7554/eLife.53865 [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data reported in this review are available upon request.


Articles from Fly are provided here courtesy of Taylor & Francis

RESOURCES