Abstract
The ecological and evolutionary success of vertebrates stems in large part from their remarkably diverse organs. Understanding how this organ diversity has arisen has been a long-standing goal. What molecular and developmental changes are responsible for the origin and diversification of vertebrate organs, and what evolutionary forces drove these changes? This Review discusses major leaps in our understanding of the molecular evolution of vertebrate organs made possible by technological advances—i.e., whole-genome sequencing, functional and single-cell genomics, and genome editing tools. I summarize how organs and cell types evolve at different rates, and the distinct contributions that some types of molecular change make to organ evolution. Finally, I discuss how new, complex traits evolve—from cells to tissues and organs—and how these innovations have fuelled the diversification of vertebrates.
Vertebrate organs are remarkably diverse. Their diversification powered vertebrates’ transition from water to land and their adaptation to most of the planet’s environments1. Vertebrates share a common set of internal organs—including the brain, heart, kidney, liver, and gonads— that was inherited from their chordate ancestors more than 500 million years ago1. While shared by all vertebrates, their forms and functions vary widely. For example, vertebrate brains vary across species in their main brain regions, the size of the areas allocated to sensory modalities, and in the organisation of neurons and neural circuits (Box 1, Fig. 1)1. Vertebrate’s hearts vary in the number of chambers, valves, and regenerative capacity2 (Fig. 1). Other shared organs are similarly diverse. Additionally, throughout vertebrate evolution, new organs and tissues have emerged, including the spleen3, stomach4, lung5, and placenta6,7, and as new organs emerged, others were lost (Fig. 1).
Box 1. The evolution of the vertebrate brain.
Vertebrates are characterised by a distinctive head housing a large, complex brain with specialised regions1. Vertebrate brains share the same basic architecture with three main divisions: forebrain, midbrain, and hindbrain1. These divisions give rise to different brain regions with different circuits and neuron types. Several new brain structures emerged during vertebrate evolution, including the cerebellum in jawed vertebrates, the neocortex in mammals, and the corpus callosum in placental mammals, while some brain abilities were lost, like the electroreception of amniotes with their transition to land1,163,164.
There is extensive variation among vertebrates across all levels, from brain regions to circuits and neuron types1. For example, the amniote pallium includes the neocortex of mammals and the dorsal ventricular ridge of birds and other reptiles, structures that mediate the complex cognitive abilities of these species1,165–167. It is heavily debated whether the neocortex and the dorsal ventricular ridge are homologous or evolved convergently. Evidence from neural circuitry, physiology, and development supports differing conclusions165–167. Recent single-cell studies favour the convergent evolution of the mammalian neocortex and the avian pallium and show that brain regions and circuits are mosaics of deeply conserved and newly evolved neurons157,158,168–171.
New brain regions can evolve through the duplication of existing regions. This can occur through a coordinated increase in cell numbers, followed by the functional divergence of cell types and anatomical regionalisation. Examples include the basal ganglia of vertebrates137,172 and the cerebellum of jawed vertebrates164. The cerebellum is made of functional units that have duplicated and diverged several times: cartilaginous fishes and amphibians have one unit pair, reptiles have two, and mammals have three. New regions may also evolve by splitting a multifunctional region into more specialised ones, or they may evolve de novo from the evolution of new cell types and/or by a novel combination of cell types137,170.
Cell type diversification has shaped vertebrate brain evolution. For example, mammals have hundreds of telencephalic excitatory neurons, whereas only a handful have been described in the jawless vertebrate lamprey145. Rates of cell type evolution differ among major neuronal classes. Among amniotes, inhibitory neurons have conserved identities across species. Excitatory neurons, however, evolve more rapidly, with many novel excitatory neurons emerging during amniote evolution157,158,168,169,171. Changes in function and behaviour do not, however, always require the evolution of new cell types. Changes in the abundance of neurons, their locations and projections, and the genes they express, likely explain many of the functional and behavioural differences found across vertebrates.
Figure 1. Diversity of brains and hearts, and examples of gains and losses of organs and cell types, throughout vertebrate evolution.
How did this organ diversity arise? What are the molecular and developmental changes that led to the origin and diversification of vertebrate organs? And what were the evolutionary forces driving their evolution? These are long-standing questions that are now addressable thanks to new technologies. The combination of whole-genome sequencing, functional and single-cell genomics, and genome editing tools—technologies that can, in principle, be applied to any species, cell, and organ—is transforming and expanding our understanding of the evolution of vertebrate organs. This review discusses the growing number of functional genomics studies (e.g., genomics, transcriptomics, epigenomics) that are revealing the molecular, cellular, and evolutionary mechanisms underlying the origin and diversification of vertebrate organs. Although the review focuses on vertebrates, the principles and mechanisms identified are relevant to organ evolution in other animals and are likely to be relevant to multicellular organisms as a whole.
Molecular basis of organ evolution
A great diversity of molecular changes underpins the phenotypic diversification of vertebrate organs. These include mutations (at the transcriptional and post-transcriptional levels) that alter when, where, and how much of a protein is produced, mutations that change protein sequences (including creating novel isoforms), and structural mutations leading to gene gains and losses. While all these changes contribute to the evolution of vertebrate organs, questions remain about whether some types of change make distinct contributions to phenotypic evolution. For example, are gene expression changes the most common driver of phenotypic differences? If so, is this because mutations in regulatory elements tend to be less pleiotropic8–12? Are changes in morphology more likely driven by changes in gene expression, while changes in physiology by changes in protein sequences and gene duplication8,9,13? Are gene duplications, especially those from whole genome duplications, critical for vertebrate innovations14–16? Can transposable elements rapidly rewire gene regulatory networks and thus drive major phenotypic changes17–19? These questions remain hotly debated because identifying the genetic basis of organ evolution remains challenging12,20. Most traits emerged from many genetic changes, often a combination of different mutation types, dozens to hundreds of millions of years ago12,20. Still, omics technologies are expanding our view of the molecular changes driving organ evolution, their relative prevalence, their co-occurrence, and how they differ across organs and cells.
Organs and cells evolve at different rates
In the second decade of this century, it became both technically and economically feasible to apply genome sequencing and functional genomics widely across vertebrates. These technologies allowed cataloguing molecular differences across organs and species in terms of gene expression21–26, alternative splicing27–30, small31 and long non-coding RNAs32,33, regulatory elements34–36, epigenetic marks37–40, gene evolutionary ages24,41, rates of translation42, and coding sequence evolution24,43. When these technologies were applied simultaneously to multiple organs across multiple species, the molecular data could be directly compared and it showed how quickly (or slowly) different vertebrate organs have evolved. Perhaps surprisingly, given the anatomical and functional diversification of vertebrate brains and their regions1 (Box 1), studies consistently identified the brain as the slowest-evolving organ. In contrast, the testis is the fastest evolving. These differences in the rates of molecular evolution between organs are consistent across evolutionary scales, from major vertebrate lineages25,26,32 to mammals22,24,32,33,42, primates21,22, and the recent diversification of cichlid fishes23.
Our understanding of why the testis evolves faster than all other organs had to wait for single-cell technologies to enable cross-species comparisons at the level of individual cell types. We expect differences in evolutionary rates among organs to result from differences in the evolutionary rates of their constituent cell types. However, it is unknown how much variation in evolutionary rates exists among the cell types of an organ, and hence whether the rates of molecular evolution observed at the organ level (using bulk RNA sequencing) reflect those of most or only a subset of cell types. In the case of the testis, comparative single-cell studies revealed that the fast molecular evolution observed at the organ level is driven specifically by late-spermatogenic cells44–47. These cells experience fewer selective constraints than other cells and increased levels of positive selection47,48. Could this fast evolution also extend to female germ cells? Organ-level studies found that the ovary evolves considerably slower than the testis22,24. However, this could reflect the fact that late-stage female germ cells make up a small fraction of the adult ovary, while late-stage male germ cells make up the bulk of the adult testis. In agreement with this idea, a recent single-cell study showed that late-stage female germ cells are also fast-evolving48.
In contrast, in the brain, most cell types appear to be evolving slowly. The mammalian brain is slow-evolving22,24 and comparative single-cell studies found that astrocytes and most neurons are correspondingly slow-evolving cells49,50. In the mammalian cerebellum, the fastest-evolving cells are microglia50, a resident macrophage, consistent with immune cells being generally fast-evolving cells49. What is notable is that these immune cells of the brain are the slowest-evolving immune cells in the body50,51, matching the slow evolution of their neighbouring cells. It is an intriguing question whether cells shared across organs, like fibroblasts or tissue-resident immune cells, evolve at rates that reflect their organ-specific cell neighbours, and if so, why. With cell atlases becoming available for multiple organs across multiple vertebrates47,52–57, we should soon have a comparison of the rates of molecular evolution across all vertebrate cell types. Early studies suggest that the same cell types may mediate most adaptation across species. For example, in the intestine, the epithelial cells that specialise in nutrient absorption (enterocytes) are the fastest evolving intestinal cells in both primates56 and chiclids55, and are suggested to be key mediators of these species’ unique dietary adaptations.
Are some types of molecular change more prevalent in specific organs?
The differences in the rate of molecular evolution across organs are consistent across types of molecular change, including coding and non-coding gene expression22–24,26,32,33, translation42, alternative splicing29, sequence evolution24, and gene evolutionary age24. This means that when organs evolve faster, they do so through multiple types of molecular change in parallel21,24,26,35. The mammalian liver provides a good example: recently evolved enhancers that likely drive new expression patterns are over-represented near positively selected genes35.
However, while it is true that the organs that differ the most between species in expression levels are also the ones expressing more species-specific genes and genes under positive selection21,24, some types of molecular change may be more prevalent in specific organs or cell types. A case in point is alternative splicing, which plays a more prominent role in the evolution of the brain and heart than of other organs27–29, probably because alternative splicing is more extensive in neurons and cardiomyocytes (and other muscle cells) than in other cell types58,59. Another example is gene expression changes leading to species differences in the timing of developmental events (heterochrony), which are most common in the evolution of the ovary and testis24,45,60.
Recent years have seen a burst of studies on the roles of transposable elements in vertebrate evolution. Transposable elements contribute to organ evolution by adding new exons and genes to genomes19,61–63, like syncytins, the proteins that mediate cell-cell fusion in mammalian placentas61,64. They also contribute to organ evolution by changing gene regulation17–19,63,65–68. Because transposable elements can act as regulatory elements for multiple genes, they could, in principle, drive evolutionary change by ‘rewiring’ entire gene networks17–19. A current challenge for the field is to go beyond correlations and demonstrate that transposable element-mediated gene network rewiring has contributed to organ evolution. Nevertheless, studies of the immune system65 and pregnancy66–69 suggest this could be the case. Transposable elements contribute disproportionately to the evolution of fast-evolving organs or cells, namely the testis70, blood and immune cells65,70,71, and the placenta64,66–72, suggesting they play key roles in adaptation.
Whole genome duplications and vertebrate innovations
One type of molecular change has long loomed large over vertebrate evolution: whole-genome duplication14,15. In 1970, Ohno hypothesised that two rounds of whole-genome duplication occurred early in vertebrate evolution, fuelling the emergence of innovations and vertebrate diversification14. It took time to confirm both rounds of whole-genome duplication, and only recently have they been completely reconstructed73–76. The first whole-genome duplication occurred early in vertebrate evolution (~530 mya), in the common ancestor of jawed and jawless vertebrates (hagfish and lampreys). After these two lineages split, two additional rounds of genome duplication occurred around 500 mya: one each in the ancestors of jawed and jawless vertebrates73–76 (Fig. 1). Further rounds of genome duplication occurred among jawed vertebrates, most frequently in fish77, including a third genome duplication in the ancestor of teleost fish ~320 Mya77 and in the non-teleosts paddlefish5 and sterlet sturgeon5,78, and a fourth genome duplication in salmonids and cypriniformes77. Consistent with Ohno’s hypothesis, the genes retained after the whole-genome duplication events (which we now call “ohnologs”) are enriched for transcriptional and developmental regulators15,73–76, genes that could underlie vertebrate innovations and morphological diversification.
Despite these compelling observations, causal links between ohnologs, vertebrate innovations, and morphological diversification remain elusive15,79. Whole-genome duplications are associated with the radiations of vertebrates and teleosts but they also occurred in lineages that did not experience radiations77. When the teleost radiation was re-examined in light of the fossil record, no correlation was found between the whole-genome duplication and the teleost morphological diversification80. Establishing a direct link between genome duplications and diversification events is further complicated by the possibility of a time lag between them. The functional impacts of whole-genome duplications may arise only gradually, tens of millions of years after the duplication events81,82. The link between ohnologs and the emergence of vertebrate innovations is also tenuous. Vertebrate innovations like neural crest cells and the vertebrate brain and sensory organs originated before the first round of whole-genome duplication early in vertebrate evolution15,16,76,79 and, therefore, are not directly linked to ohnologs.
Like other duplicates, with time, ohnologs functionally diverge from each other. This can occur through subfunctionalisation, when ancestral functions are split between ohnologs (division of labour), or through neofunctionalisation, when one or both ohnologs acquire a new function15,76,79,82–85. Both subfunctionalisation and neofunctionalisation can occur through changes in coding sequences, changes in gene regulation, or a mix of both. What sets ohnologs apart from other duplicates is that whole-genome duplication is the only mechanism by which genes that are dosage-sensitive or part of macromolecular complexes or pathways can duplicate without deleterious consequences15,84,86. Ohnologs are therefore a distinct set from genes arising from small-scale duplications and are uniquely enriched in regulatory and developmental genes87,88.
Consistent with these characteristics, ohnologs play key roles in the development of vertebrate-specific traits, including the origin of new cell types83. For example, the liver’s sinusoidal endothelial cells are a vertebrate novelty which depend on ohnologs for their developmental specification and function53. Other liver functions, such as a vertebrate-specific pathway for bile production, also rely on ohnologs53. Ohnologs are also enriched among genes expressed in the lungs of most vertebrates57 and have played a disproportional role in the evolution of brain cell types throughout vertebrate history83. In teleosts, ohnologs from the third round of whole-genome duplication are necessary for the development of the electrosensory system of some fish85 and the bulbous arterious85,89, a specialisation of the teleost heart.
Evolutionary forces driving organ evolution
Cataloguing molecular differences between species tells us about the end products of evolution, but not which microevolutionary processes (e.g. population genetics) were responsible90. While neutral processes91,92—mutation, genetic drift, recombination, migration—shape important aspects of genome evolution, adaptive processes (positive selection) are assumed to be key for phenotypic evolution12,92. This expectation is particularly strong for the evolution of novel functions and structures. In contrast, trait loss (including organ loss) could be driven by positive selection, a relaxation of selective constraints, or a mixture of both93. Although the dominant view is that adaptive processes drive most phenotypic organ evolution12,20, this position has been challenged on theoretical and empirical grounds90,94. The evolution of some traits, including complex traits like new cell types and tissues94, may result from an interplay of neutral and adaptive processes.
Multiple forces underlie organ evolution
Identifying the evolutionary forces driving organ evolution remains one of the field’s most challenging and sought-after goals. Purifying (stabilising/negative) selection dominates the evolution of functional genomic elements and can be readily detected through the evolutionary conservation of coding sequences, regulatory elements, and expression levels21,22,43,95. Detecting positive selection is more challenging96,97. Across birds and mammals, the strongest population genetic and genomic signals of adaptation are associated with genes involved in immunity, reproduction, diet and response to xenobiotics96,98–101. However, it is much easier to detect positive selection in genes that are common targets of adaptation than in genes underlying lineage-specific adaptation96. Fortunately, the rise in sequencing capacity means hundreds of vertebrate genomes will soon be combined with population resequencing data, greatly increasing the power to detect positive selection96. Promising approaches that combine population and quantitative genetics are also being developed97.
Different evolutionary forces and differences in the strength of these forces explain why vertebrate organs and cells evolve at different rates. While purifying selection is pervasive, its strength differs across organs21–24,102,103. Genes expressed in the brain experience the strongest selection both at the sequence and expression levels and, consequently, differ the least across species21–24,102. In contrast, genes expressed in the testis (specifically in late-spermatogenic cells) experience weaker purifying selection and differ the most across species21–24,102,103. Positive selection amplifies these differences between organs. Organs like the liver, which mediate interactions with the environment (e.g. diet, toxins, communication through pheromones), are often targets of adaptation and evolve rapidly23,24,102,104. Sperm competition, sexual conflict and meiotic drive have all been proposed to explain the rapid evolution of vertebrate testes in addition to weaker purifying selection21,22,47,102.
An area of increasing interest is the evolution of sex differences (Box 2). These include gene expression differences between male and female organs, which evolve particularly fast. Identifying the evolutionary forces driving these differences is difficult because detecting positive selection using expression levels or regulatory elements remains challenging95,102,105,106. While some studies have proposed that genetic drift107 and reduced purifying selection108 drive most organ sex-biased expression, others invoked natural104 and sexual 104,109 selection as the main drivers.
Box 2. The evolution of sex differences.
Sex differences are widespread across vertebrate organs. Despite most early developmental processes being highly conserved, sex determination and sex differentiation mechanisms are highly variable across species173. For instance, vertebrates differ in having genetic or environmental sex-determination mechanisms and in the cell types and genes that initiate the sex-determination cascades173. The mechanisms of somatic sex differentiation that occur later in development also differ across species. For example, in mammals, sex differentiation is mainly driven by hormones, while in birds each cell carries a sex identity defined by its sex chromosomes and sex differentiation is primarily cell-autonomous173,174.
Sexual dimorphisms are often studied through the proxy of sex-biased expression. Across mammals, birds and fishes, sex-biased expression evolves quickly104,107,108,175,176. Levels of sex-biased expression differ across species and organs, as does the identity of the sex-biased genes104,107,108,175,176. Sex-biased expression tends to be organ-specific, and single-cell studies suggest this is because sex differences are restricted to specific cell-types104,176,177. Interestingly, at least in mammals, the cell types that show sex differences are the same across species, even if the sets of sex-biased genes are different104.
Why do organ sex differences evolve so fast? While genetic drift plays a role107,108, it is likely because of the combination of strong sexual and natural selection104,109 and a simple genetic basis. In mammals, sex differences are mostly under hormonal control, and genes can gain or lose sex-biased expression through relatively simple changes in binding sites for hormone-responsive transcription factors104. It remains an open question whether the same applies to vertebrates like birds, where sex identity is primarily cell-autonomous.
Interplay between evolution and development
As evolution and embryology rose as disciplines in the 19th century, a link between them emerged. Karl von Baer, a founding father of embryology and Darwin’s contemporary, noted that early embryos of different species are morphologically similar but that as development progresses, species differences emerge, and embryos become increasingly distinct from each other110. Von Baer’s observations influenced Darwin111, but while we have long known that evolution and development are intertwined, we don’t fully understand why that is110,112,113.
Organ development starts after the most conserved stage of embryonic development (the phylotypic period24,29,33). As organogenesis proceeds, organs become more specialised, with the cell types that make up the adult organs becoming progressively specified. As organ development progresses, what von Baer described for the embryo at the morphological level also occurs for organs at the molecular level. The earliest stages of organ development are the most conserved, with species differences increasing as development progress24,29,33,114. Two non-mutually exclusive hypotheses can explain this pattern112. One proposes that functional constraints are higher earlier than later in development, leading to stronger purifying selection against mutations affecting early development, resulting in higher conservation early on. The other hypothesis proposes that adaptation drives most species differences and that adaptation occurs more often late in development when environmental pressures are stronger. Adaptations of mature organ functions would be encoded in changes to later developmental programs when these functions are specified. Molecular tests of both hypotheses using mammalian organs showed that both stronger purifying early in development and increased adaptation later in development contribute to the “von Baerian” divergence.
One factor may account for both stronger functional constraints early in development and increased adaptation later: the changing pleiotropy of the genes employed during organ development 24,110,115,116. Pleiotropy refers to the number of traits a gene or a mutation impact24,110,115,116 and it determines the types of mutation permissible under selection8–10. The more pleiotropic a gene or a mutation is, the stronger the purifying selection; conversely, mutations with few or no pleiotropic effects are more likely to underlie adaptation 8–10. Evidence from vertebrate embryos and mammalian organs supports a decrease in the pleiotropy of the genes expressed during development: gene expression becomes more temporally and spatially restricted with time24,29,33,116 (Fig. 2B). These findings likely reflect the fact that organ development proceeds from the more general to the more specialised and suggest that in a developmental system where pleiotropy decreases over time, a “von Baerian” relationship between evolution and development emerges (mammalian teeth may be an exception117). Indeed, single-cell studies of cell differentiation in the mammalian cerebellum50,54, testis47,48, ovary48, and intestine55,118 found that as cells differentiate, species differences in gene expression and regulation increase. Because the evolution of developmental programs underlies species differences, an increasing number of studies are combining evolution with development to understand the diversification of vertebrate organs.
Figure 2.
(a) As development progresses, purifying selection decreases while positive selection increases. (b) As development progresses, the pleiotropy of the genes employed decreases and differences between species (molecular, morphological, etc) increase.
The origin of evolutionary novelties
In recent years, whole-genome sequencing, functional and single-cell genomics, and genome editing have been applied to numerous vertebrate species. These approaches are uncovering common trends in organ evolution. In addition, they are providing much-needed insights into how evolutionary novelties originate. Recent studies have begun to identify the molecular changes and evolutionary forces that drive the evolution of new forms and functions, the emergence of new cell types, and even the origin of new organs.
Evolution of new forms and functions
There are many open questions on the genetics of adaptation12,119. Do changes in morphology and physiology arise from the accumulation of many genetic changes of small effect, or a few changes of large effect? Are these genetic changes mainly altering gene structure (amino acid substitutions or gene duplications) or gene regulation? Are there classes of genes more likely to drive phenotypic evolution, and if so, does it depend on the type of phenotype? Do genetic linkage and pleiotropy facilitate or hinder phenotypic evolution? Answers to these and related questions are emerging from multiple study systems, most notably from studies of traits that have evolved convergently in multiple lineages.
Sticklebacks are marine fish that have recently adapted, multiple times, to life in freshwater habitats. Many morphological, physiological, and behavioural traits have evolved convergently in these freshwater populations, and their combined study has answered key questions on the genetics of adaptation12,119. In sticklebacks, most new phenotypes appear to have evolved through a few mutations of large effect and many more of smaller effect (in agreement with theoretical work120). Adaptation has typically occurred through changes in gene regulation, predominantly of developmental genes. In cases of repeated evolution, half the time the same genes are involved, although the likelihood of gene reuse decreases with increasing evolutionary divergence121.
A notable example of phenotypic convergence in mammals is the evolution of flight. Lateral flight membranes (patagia) have evolved independently at least seven times in mammals creating gliding species. The evolution of the patagia shares features observed in the evolution of phenotypes in sticklebacks: it occurred via molecular changes in the regulatory elements of pleiotropic developmental regulators, and the same genes were reused during the evolution of the convergent trait122,123. Pleiotropy may have facilitated the evolution of the patagia because the deployment of an existing patterning mechanism in a new context may have facilitated the functional integration of the novel structure122. Similar principles underlie the one-time evolution of powered flight in mammals. The evolution of the bat wing occurred partly through changes in the regulation of developmental genes, leading to the redeployment of an existing transcriptional program at a different anatomical location124. Given the preponderance of changes in regulatory regions in the evolution of flight in mammals, it is perhaps unsurprising that the repeated, independent losses of flight in birds also mainly resulted from changes in regulatory elements125.
While the frequent involvement of pleiotropic developmental regulators in the evolution of limb and skeletal features is notable122–126, these are very specific phenotypic traits. Coding sequence changes and duplications and losses of different types of genes have undoubtedly also played key roles in the evolution of organ phenotypes. As new technologies are widely deployed across the vertebrate phylogeny, new observations, trends, and principles await discovery.
The evolution of new cell types
Vertebrates are made of several hundred different cell types, over a quarter of which are neurons127. Many cell types were inherited from chordate ancestors, but several others emerged during vertebrate evolution. The oldest vertebrate-specific cells emerged ~550 million years ago, and the youngest cell type currently known is only ~20,000 years old128.
The origin of vertebrates is linked to the evolution of two embryonic cell populations: the neural crest and cranial placodes1,129–131. These two vertebrate innovations give rise to cell types that reshaped the vertebrate head, heart, and sensory systems. Neural crest cells differentiate into many different cell types, including those that make bone, cartilage, smooth muscle, and peripheral nerves79,130,131. Cranial placodes form many of vertebrates’ sensory structures, including the inner ear, nose, lens, and neurons of cranial sensory ganglia132. While neural crest cells and cranial placodes are defining features of vertebrates, their evolutionary precursors can be found in invertebrate chordates130–132. The neural crest and cranial placodes evolved in a stepwise manner from precursors that possessed some (but not all) of their morphological and molecular features, through the co-option of existing genes and gene networks79,131,132. The neural crest became a new developmental path to specify existing cell types. Several cell types still show their dual origin (from neural crest and another source), some are now only specified by the neural crest (but existed prior to the neural crest emergence), and others are new cell types altogether127,131,133. For example, several sensory neurons and other cell types crucial to the transition from water to land are neural crest-derived132, as are lipochondrocytes, lipid-filled cells that make a new type of cartilage resistant to deformation and tear, that are a mammalian innovation134.
Several models have been proposed to explain the evolution of new cell types133,135–138 (Box 3). While distinct, they assume that cell identities result from a unique combination of cell type-defining transcription factors, referred to as terminal selectors139, or in conjunction with other genes, core regulatory complexes135, or character identity networks140. The best understood is the sister cell type model, whereby two different cell types originate from a single multifunctional cell. Neurons are thought to mostly evolve this way133,135,137. For instance, retinal photoreceptors and bipolar cells likely originated from an ancestral multifunctional cell133,141. The same principle applies to the evolution of photoreceptors. The ancestor of vertebrates had one type of rod and four types of cones, and new photoreceptors were gained and lost throughout vertebrate evolution142,143. For example, amphibians evolved a new type of rod to detect colour in dim light, while mammals lost two types of cones as they adapted to nocturnality142,143. Oligodendrocytes are yet another example of a sister cell type. They emerged from an ancestral multifunctional glial cell with properties of both astrocytes and oligodendrocytes144,145 in the ancestor of jawed vertebrates, introducing myelination to the central nervous system.
Box 3. Models of new cell type evolution.
Four models have been proposed to explain the evolution of new cell types. The most studied is the sister cell type model, which can explain the evolution of neurons and neuronal circuits, as well as many non-neuronal cells133,135. In this model, multifunctional cells give rise to new cell types by segregating their functions among sister cell types (division of labour). This segregation is achieved through the selective loss of expression, in each sister cell type, of effector genes that were active in the ancestral cell. This could be achieved through the partitioning among the sister cell types of the ancestral cell type-defining transcription factors (also called terminal selectors139, or in combination with other genes, core regulatory complexes135, or character identity networks140). The new sister cell types can further diverge and gain new functions by co-opting existing gene networks or recruiting newly evolved genes133.
A new cell type can also form if cell type-defining transcription factors (or core regulatory complexes) from different cell types are co-expressed in the same cell135. This cell type fusion or hybridization can result in an increase or decrease in the number of cell types. An example is a cell type that makes a defensive gland in some beetles178. Cell type fusion/hybridization could be common and explain why progenitor cells often produce cells that are molecularly and morphologically distinct or why cells that are molecularly and morphologically similar originate from distinct progenitor lineages (although models like serial sister cell types135 can also account for some of these observations).
Early in animal evolution, new cell types emerged when cell states that originally appeared at different times evolved to occur simultaneously but in different spatial locations136. This temporal-to-spatial transition model likely still operates. For example, when developmental programs that ancestrally were sequentially activated in a lineage, co-occur137.
The fourth model, terminal addition, proposes that a new cell type can emerge through transdifferentiation (cell reprogramming) of a terminally differentiated cell type into another. For example, in zebrafish, signals from surrounding tissues prompt black pigment cells to express transcription factors that activate genes that cause these cells to break down their dark pigment and acquire crystal-like structures, becoming white pigment cells. The white and black pigment cells are morphologically and molecularly distinct and hence, considered distinct cell types 138.
The evolution of new cell types can lead to the evolution of new tissues. For example, the emergence of the cerebellum required the evolution of Purkinje cells, a neuronal type unique to this brain region1. Similarly, the origin of the maternal decidua, which is key for pregnancy in placental mammals, depended on the evolution of decidual cells. These cells evolved in the ancestor of placental mammals as a sister cell type to endometrial fibroblasts. Decidual cells evolved in a stepwise manner, initially acquiring immunomodulatory characteristics and later, in some lineages, endocrine functions146. Multiple molecular changes drove the evolution of the decidual cell, including amino acid changes in key transcription factors147 and convergent gene expression changes mediated by transposable elements148.
Gains and losses of organs
Several organs emerged throughout vertebrate evolution (Fig. 1). Some systems — the digestive, reproductive, sensory, and immune systems — are hotspots for organ innovation. Examples include the stomach in jawed vertebrates4 and the crop in birds149 (digestive); the uterus in jawed vertebrates150 and over 100 independent origins of a placenta6,7 in different vertebrate lineages (reproductive); the thymus in the vertebrate ancestor3 and the spleen in jawed vertebrates3 (immune); multiple independent origins of electrosensory organs in fishes85 (sensory); plus the evolution of the lung in the ancestor of bony fishes5 and the evolution of the swim bladder (from the lung) in ray-finned fishes5. The list goes on.
Because organs don’t work in isolation, when a new organ emerges, other organs may need to co-evolve with it. For example, the evolution of a placenta requires changes to the mother’s immune system, metabolism, and cardiovascular function7. This principle applies to existing organs as well, and major ecological shifts, like vertebrates’ transition from water to land, required adaptations across multiple organs5.
Despite the many examples, we know little about how new organs originate. One possibility is that an ancestral multifunctional organ could split its functions between two newly evolved structures, which then specialise further. This might explain how some digestive organs evolved. Organs could also evolve by the co-option, or repurposing, of an existing structure (also called exaptation). For example, the swim bladder was co-opted multiple times independently as a sound-producing organ in teleost fish151. Alternatively, new organs could emerge through successive rounds of cell type innovation94. The sister cell type model (Box 3) makes this transition easier because sister cell types are bound together developmentally, spatially, and temporally, which could facilitate the evolution of a new structure with a new function. Eyes and parts of the brain may have emerged this way (Box 1)133,135,137. However, while new cell types have played a crucial role in organ evolution, they may not be essential. Novel interactions between existing cell populations and functional diversification of existing cell types could also lead to the evolution of new organs6. Indeed, it is an open and important question how often the evolution of new organs is a consequence of the evolution of new cell types and how often it occurs through the repurposing of existing cell types.
The history of vertebrates is also marked by organ loss (Fig. 1). These include multiple independent losses of the stomach in fish lineages4,152, the loss of the uterus in teleost fishes150, and the independent losses of the lung in many salamanders153. The stomach evolved in the ancestor of jawed vertebrates as a gut pouch that secretes hydrochloric acid and pepsin, improving digestion and protecting from pathogens4,152. Stomachs have been lost more than 15 times independently4,152. Loss of the stomach among fish lineages is associated with loss of similar genes across species. Because these genes are essential for stomach function152,154 it is very unlikely that a stomach loss can be reversed4,152, an example of Dollo’s law155: the idea that complex traits that have been lost in evolution cannot be regained. Still, organs are rarely lost without a trace. Many leave vestigial structures, likely because they play a role during early development, that are a useful record of vertebrate history93,115,153.
Conclusion
The study of organ evolution is part of larger research programs currently in a golden period: the genetics of adaptation and the evolution of new and complex traits156. The explosion of omics data and our ability to study organs at the cellular level in any species of our choice is fuelling much of this renaissance. These advances allow the study of complex traits in non-model species, radically forwarding our understanding of how organs originate and how they diversify in form and function across species. But several challenges remain. Reconstructing the evolution of vertebrate organs will require bridging between micro- and macro-evolutionary processes. It will also require a closer integration between evolution and development, which is already underway24,104,122–124,146,157,158. In the coming years, we will see increased attention paid to how mechanical forces influence the evolution of new traits159,160, and more studies will combine population genetics with developmental biology55,119,126,128. We will also see the rise of new technologies and statistical tools161,162, and with them, our ability to reconstruct and understand the evolution of vertebrates.
Acknowledgments
I thank Roman Arguello, Tim Connallon, Angela Early, the members of the Evolutionary Developmental Biology Lab—Clara Collart, Marcin Falis, Rocio Enriquez-Gasca, Sophie Kraunsoe, and Diego Safian—and three anonymous reviewers for valuable comments on the manuscript. The organ icons in Fig. 1 were designed by Joe Brock (Francis Crick Institute). This work was supported by the Francis Crick Institute, which receives its core funding from the Cancer Research UK (grant CC2185), the UK Medical Research Council (grant CC2185), and the Wellcome Trust (grant CC2185).
Footnotes
Author information
M.C.M. conceived and wrote the review.
References
- 1.Striedter GF, Northcutt RG. Brains Through Time. Oxford University Press; New York: 2019. [DOI] [Google Scholar]
- 2.Olson EN. Gene Regulatory Networks in the Evolution and Development of the Heart. Science (1979) 2006;313:1922–1927. doi: 10.1126/science.1132292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Flajnik MF. A cold-blooded view of adaptive immunity. Nat Rev Immunol. 2018;18:438–453. doi: 10.1038/s41577-018-0003-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Wilson JM, Castro LFC. Morphological diversity of the gastrointestinal tract in fishes. Fish Physiology. 2010;30:1–55. [Google Scholar]
- 5.Bi X, et al. Tracing the genetic footprints of vertebrate landing in non-teleost ray-finned fishes. Cell. 2021;184:1377–1391.:e14. doi: 10.1016/j.cell.2021.01.046. [DOI] [PubMed] [Google Scholar]
- 6.Griffith OW, Wagner GP. The placenta as a model for understanding the origin and evolution of vertebrate organs. Nat Ecol Evol. 2017;1:0072. doi: 10.1038/s41559-017-0072. [DOI] [PubMed] [Google Scholar]
- 7.Whittington CM, Hodgson MJ, Friesen CR. Convergent Evolution of Pregnancy in Vertebrates. Annu Rev Anim Biosci. 2025;13:189–209. doi: 10.1146/annurev-animal-111523-102029. [DOI] [PubMed] [Google Scholar]
- 8.Carroll SB. Evo-Devo and an Expanding Evolutionary Synthesis: A Genetic Theory of Morphological Evolution. Cell. 2008;134:25–36. doi: 10.1016/j.cell.2008.06.030. [DOI] [PubMed] [Google Scholar]
- 9.Carroll SB. Evolution at Two Levels: On Genes and Form. PLoS Biol. 2005;3:e245. doi: 10.1371/journal.pbio.0030245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Stern DL. Perspective: Evolutionary developmental biology and the problem of variation. Evolution (N Y) 2000;54:1079–1091. doi: 10.1111/j.0014-3820.2000.tb00544.x. [DOI] [PubMed] [Google Scholar]
- 11.Wray GA. The evolutionary significance of cis-regulatory mutations. Nat Rev Genet. 2007;8:206–216. doi: 10.1038/nrg2063. [DOI] [PubMed] [Google Scholar]
- 12.Bomblies K, Peichel CL. Genetics of adaptation. Proc Natl Acad Sci U S A. 2022;119 doi: 10.1073/pnas.2122152119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hoekstra HE, Coyne JA. The Locus of Evolution: Evo Devo and the Genetics of Adaptation. Evolution (N Y) 2007;61:995–1016. doi: 10.1111/j.1558-5646.2007.00105.x. [DOI] [PubMed] [Google Scholar]
- 14.Ohno S. Evolution by Gene Duplication. Springer Berlin Heidelberg; Berlin, Heidelberg: 1970. [DOI] [Google Scholar]
- 15.Van De Peer Y, Mizrachi E, Marchal K. The evolutionary significance of polyploidy. Nat Rev Genet. 2017;18:411–424. doi: 10.1038/nrg.2017.26. [DOI] [PubMed] [Google Scholar]
- 16.Cañestro C, Albalat R, Irimia M, Garcia-Fernàndez J. Impact of gene gains, losses and duplication modes on the origin and diversification of vertebrates. Semin Cell Dev Biol. 2013;24:83–94. doi: 10.1016/j.semcdb.2012.12.008. [DOI] [PubMed] [Google Scholar]
- 17.Britten RJ, Davidson EH. Repetitive and Non-Repetitive DNA Sequences and a Speculation on the Origins of Evolutionary Novelty. Q Rev Biol. 1971;46:111–138. doi: 10.1086/406830. [DOI] [PubMed] [Google Scholar]
- 18.Chuong EB, Elde NC, Feschotte C. Regulatory activities of transposable elements: From conflicts to benefits. Nat Rev Genet. 2017;18:71–86. doi: 10.1038/nrg.2016.139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bourque G, et al. Ten things you should know about transposable elements 06 Biological Sciences 0604 Genetics. Genome Biol. 2018;19 doi: 10.1186/s13059-018-1577-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Cooper KL. The case against simplistic genetic explanations of evolution. Development. 2024;151 doi: 10.1242/dev.203077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Khaitovich P, Enard W, Lachmann M, Pääbo S. Evolution of primate gene expression. Nat Rev Genet. 2006;7:693–702. doi: 10.1038/nrg1940. [DOI] [PubMed] [Google Scholar]
- 22.Brawand D, et al. The evolution of gene expression levels in mammalian organs. Nature. 2011;478:343–348. doi: 10.1038/nature10532. [DOI] [PubMed] [Google Scholar]
- 23.El Taher A, et al. Gene expression dynamics during rapid organismal diversification in African cichlid fishes. Nat Ecol Evol. 2021;5:243–250. doi: 10.1038/s41559-020-01354-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Cardoso-Moreira M, et al. Gene expression across mammalian organ development. Nature. 2019;571:505–509. doi: 10.1038/s41586-019-1338-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Chan ET, et al. Conservation of core gene expression in vertebrate tissues. J Biol. 2009;8 doi: 10.1186/jbiol130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fukushima K, Pollock DD. Amalgamated cross-species transcriptomes reveal organ-specific propensity in gene expression evolution. Nat Commun. 2020;11 doi: 10.1038/s41467-020-18090-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Barbosa-Morais NL, et al. The evolutionary landscape of alternative splicing in vertebrate species. Science (1979) 2012;338:1587–1593. doi: 10.1126/science.1230612. [DOI] [PubMed] [Google Scholar]
- 28.Merkin J, Russell C, Chen P, Burge CB. Evolutionary Dynamics of Gene and Isoform Regulation in Mammalian Tissues. Science (1979) 2012;338:1593–1599. doi: 10.1126/science.1228186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mazin PV, Khaitovich P, Cardoso-Moreira M, Kaessmann H. Alternative splicing during mammalian organ development. Nat Genet. 2021;53:925–934. doi: 10.1038/s41588-021-00851-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gueroussov S, et al. Regulatory Expansion in Mammals of Multivalent hnRNP Assemblies that Globally Control Alternative Splicing. Cell. 2017;170:324–339.:e23. doi: 10.1016/j.cell.2017.06.037. [DOI] [PubMed] [Google Scholar]
- 31.Meunier J, et al. Birth and expression evolution of mammalian microRNA genes. Genome Res. 2013;23:34–45. doi: 10.1101/gr.140269.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Necsulea A, et al. The evolution of lncRNA repertoires and expression patterns in tetrapods. Nature. 2014;505:635–640. doi: 10.1038/nature12943. [DOI] [PubMed] [Google Scholar]
- 33.Sarropoulos I, Marin R, Cardoso-Moreira M, Kaessmann H. Developmental dynamics of lncRNAs across mammalian organs and species. Nature. 2019;571:510–514. doi: 10.1038/s41586-019-1341-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Schmidt D, et al. Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding. Science (1979) 2010;328:1036–1040. doi: 10.1126/science.1186176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Villar D, et al. Enhancer evolution across 20 mammalian species. Cell. 2015;160:554–566. doi: 10.1016/j.cell.2015.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Berthelot C, Villar D, Horvath JE, Odom DT, Flicek P. Complexity and conservation of regulatory landscapes underlie evolutionary resilience of mammalian gene expression. Nat Ecol Evol. 2018;2:152–163. doi: 10.1038/s41559-017-0377-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Schroeder DI, et al. Early Developmental and Evolutionary Origins of Gene Body DNA Methylation Patterns in Mammalian Placentas. PLoS Genet. 2015;11 doi: 10.1371/journal.pgen.1005442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.de Mendoza A, et al. The emergence of the brain non-CpG methylation system in vertebrates. Nat Ecol Evol. 2021;5:369–378. doi: 10.1038/s41559-020-01371-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Haghani A, et al. DNA methylation networks underlying mammalian traits. Science (1979) 2023;381:5693. doi: 10.1126/science.abq5693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Klughammer J, et al. Comparative analysis of genome-scale, base-resolution DNA methylation profiles across 580 animal species. Nat Commun. 2023;14 doi: 10.1038/s41467-022-34828-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Guschanski K, Warnefors M, Kaessmann H. The evolution of duplicate gene expression in mammalian organs. Genome Res. 2017;27:1461–1474. doi: 10.1101/gr.215566.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wang ZY, et al. Transcriptome and translatome co-evolution in mammals. Nature. 2020;588:642–647. doi: 10.1038/s41586-020-2899-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Christmas MJ, et al. Evolutionary constraint and innovation across hundreds of placental mammals. Science (1979) 2023;380:eabn3943. doi: 10.1126/science.abn3943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Soumillon M, et al. Cellular Source and Mechanisms of High Transcriptome Complexity in the Mammalian Testis. Cell Rep. 2013;3:2179–2190. doi: 10.1016/j.celrep.2013.05.031. [DOI] [PubMed] [Google Scholar]
- 45.Shami AN, et al. Single-Cell RNA Sequencing of Human, Macaque, and Mouse Testes Uncovers Conserved and Divergent Features of Mammalian Spermatogenesis. Dev Cell. 2020;54:529–547.:e12. doi: 10.1016/j.devcel.2020.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lau X, Munusamy P, Ng MJ, Sangrithi M. Single-Cell RNA Sequencing of the Cynomolgus Macaque Testis Reveals Conserved Transcriptional Profiles during Mammalian Spermatogenesis. Dev Cell. 2020;54:548–566.:e7. doi: 10.1016/j.devcel.2020.07.018. [DOI] [PubMed] [Google Scholar]
- 47.Murat F, et al. The molecular evolution of spermatogenesis across mammals. Nature. 2023;613:308–316. doi: 10.1038/s41586-022-05547-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Trost N, et al. The evolution of gene regulatory programs controlling gonadal development in primates. bioRxiv. 2025 doi: 10.1101/2025.06.17.659946. [DOI] [Google Scholar]
- 49.Forrest ARR, et al. A promoter-level mammalian expression atlas. Nature. 2014;507:462–470. doi: 10.1038/nature13182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Sarropoulos I, et al. Developmental and evolutionary dynamics of cis-regulatory elements in mouse cerebellar cells. Science (1979) 2021;373 doi: 10.1126/science.abg4696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Geirsdottir L, et al. Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program. Cell. 2019;179:1609–1622.:e16. doi: 10.1016/j.cell.2019.11.010. [DOI] [PubMed] [Google Scholar]
- 52.Chen D, et al. Single cell atlas for 11 non-model mammals, reptiles and birds. Nat Commun. 2021;12 doi: 10.1038/s41467-021-27162-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Wu B, et al. Single-cell analysis of the amphioxus hepatic caecum and vertebrate liver reveals genetic mechanisms of vertebrate liver evolution. Nat Ecol Evol. 2024;8:1972–1990. doi: 10.1038/s41559-024-02510-9. [DOI] [PubMed] [Google Scholar]
- 54.Sepp M, et al. Cellular development and evolution of the mammalian cerebellum. Nature. 2024;625:788–796. doi: 10.1038/s41586-023-06884-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Fages A, et al. Adaptive cellular evolution in the intestinal tracts of hyperdiverse African cichlid fishes. 2024 doi: 10.1101/2024.11.28.625862. [DOI] [Google Scholar]
- 56.Yu Q, et al. Recent evolution of the developing human intestine affects metabolic and barrier functions. Science (1979) 2025;389 doi: 10.1126/science.adr8628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Li Y, et al. Origin and stepwise evolution of vertebrate lungs. Nat Ecol Evol. 2025;9:672–691. doi: 10.1038/s41559-025-02642-6. [DOI] [PubMed] [Google Scholar]
- 58.Kalsotra A, Cooper TA. Functional consequences of developmentally regulated alternative splicing. Nat Rev Genet. 2011;12:715–729. doi: 10.1038/nrg3052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Baralle FE, Giudice J. Alternative splicing as a regulator of development and tissue identity. Nat Rev Mol Cell Biol. 2017;18:437–451. doi: 10.1038/nrm.2017.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Czerwinski M, Natarajan A, Barske L, Looger LL, Capel B. A timecourse analysis of systemic and gonadal effects of temperature on sexual development of the red-eared slider turtle Trachemys scripta elegans. Dev Biol. 2016;420:166–177. doi: 10.1016/j.ydbio.2016.09.018. [DOI] [PubMed] [Google Scholar]
- 61.Johnson WE. Origins and evolutionary consequences of ancient endogenous retroviruses. Nat Rev Microbiol. 2019;17:355–370. doi: 10.1038/s41579-019-0189-2. [DOI] [PubMed] [Google Scholar]
- 62.Cosby RL, et al. Recurrent evolution of vertebrate transcription factors by transposase capture. Science (1979) 2021;371 doi: 10.1126/science.abc6405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Senft AD, Macfarlan TS. Transposable elements shape the evolution of mammalian development. Nat Rev Genet. 2021;22:691–711. doi: 10.1038/s41576-021-00385-1. [DOI] [PubMed] [Google Scholar]
- 64.Lavialle C, et al. Paleovirology of ‘syncytins’, retroviral env genes exapted for a role in placentation. Philosophical Transactions of the Royal Society B: Biological Sciences. 2013;368 doi: 10.1098/rstb.2012.0507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Chuong E, Elde NC, Feschotte C. Regulatory evolution of innate immunity through co-option of endogenous retroviruses. Science (1979) 2016;351:1083–1087. doi: 10.1126/science.aad5497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Lynch VJ, Leclerc RD, May G, Wagner GP. Transposon-mediated rewiring of gene regulatory networks contributed to the evolution of pregnancy in mammals. Nat Genet. 2011;43:1154–1159. doi: 10.1038/ng.917. [DOI] [PubMed] [Google Scholar]
- 67.Lynch VJ, et al. Ancient transposable elements transformed the uterine regulatory landscape and transcriptome during the evolution of mammalian pregnancy. Cell Rep. 2015;10:551–561. doi: 10.1016/j.celrep.2014.12.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Sun MA, et al. Endogenous Retroviruses Drive Lineage-Specific Regulatory Evolution across Primate and Rodent Placentae. Mol Biol Evol. 2021;38:4992–5004. doi: 10.1093/molbev/msab223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Chuong EB, Rumi MAK, Soares MJ, Baker JC. Endogenous retroviruses function as species-specific enhancer elements in the placenta. Nat Genet. 2013;45:325–329. doi: 10.1038/ng.2553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Simonti CN, Pavličev M, Capra JA. Transposable element exaptation into regulatory regions is rare, influenced by evolutionary age, and subject to pleiotropic constraints. Mol Biol Evol. 2017;34:2856–2869. doi: 10.1093/molbev/msx219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Samstein RM, Josefowicz SZ, Arvey A, Treuting PM, Rudensky AY. Extrathymic generation of regulatory T cells in placental mammals mitigates maternal-fetal conflict. Cell. 2012;150:29–38. doi: 10.1016/j.cell.2012.05.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Frost JM, et al. Regulation of human trophoblast gene expression by endogenous retroviruses. Nat Struct Mol Biol. 2023;30:527–538. doi: 10.1038/s41594-023-00960-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Simakov O, et al. Deeply conserved synteny resolves early events in vertebrate evolution. Nat Ecol Evol. 2020;4:820–830. doi: 10.1038/s41559-020-1156-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Nakatani Y, et al. Reconstruction of proto-vertebrate, proto-cyclostome and proto-gnathostome genomes provides new insights into early vertebrate evolution. Nat Commun. 2021;12 doi: 10.1038/s41467-021-24573-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Yu D, et al. Hagfish genome elucidates vertebrate whole-genome duplication events and their evolutionary consequences. Nat Ecol Evol. 2024;8:519–535. doi: 10.1038/s41559-023-02299-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Marlétaz F, et al. The hagfish genome and the evolution of vertebrates. Nature. 2024;627:811–820. doi: 10.1038/s41586-024-07070-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Ravi V, Venkatesh B. The Divergent Genomes of Teleosts. Annu Rev Anim Biosci. 2018;6:47–68. doi: 10.1146/annurev-animal-030117-014821. [DOI] [PubMed] [Google Scholar]
- 78.Du K, et al. The sterlet sturgeon genome sequence and the mechanisms of segmental rediploidization. Nat Ecol Evol. 2020;4:841–852. doi: 10.1038/s41559-020-1166-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Ray L, Medeiros D. Linking Vertebrate Gene Duplications to the New Head Hypothesis. Biology (Basel) 2023;12 doi: 10.3390/biology12091213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Clarke JT, Lloyd GT, Friedman M. Little evidence for enhanced phenotypic evolution in early teleosts relative to their living fossil sister group. Proc Natl Acad Sci U S A. 2016;113:11531–11536. doi: 10.1073/pnas.1607237113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Robertson FM, et al. Lineage-specific rediploidization is a mechanism to explain time-lags between genome duplication and evolutionary diversification. Genome Biol. 2017;18 doi: 10.1186/s13059-017-1241-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Parey E, et al. An atlas of fish genome evolution reveals delayed rediploidization following the teleost whole-genome duplication. Genome Res. 2022;32:1685–1697. doi: 10.1101/gr.276953.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Shimeld S, et al. Whole genome duplication drove cell type evolution in the vertebrate brain. Res Sq. 2025 doi: 10.21203/rs.3.rs-6965966/v1. [DOI] [Google Scholar]
- 84.Edger PP, Pires JC. Gene and genome duplications: The impact of dosage-sensitivity on the fate of nuclear genes. Chromosome Research. 2009;17:699–717. doi: 10.1007/s10577-009-9055-9. [DOI] [PubMed] [Google Scholar]
- 85.Moriyama Y, Koshiba-Takeuchi K. Significance of whole-genome duplications on the emergence of evolutionary novelties. Brief Funct Genomics. 2018;17:329–338. doi: 10.1093/bfgp/ely007. [DOI] [PubMed] [Google Scholar]
- 86.Birchler JA, Veitia RA. Gene balance hypothesis: Connecting issues of dosage sensitivity across biological disciplines. Proc Natl Acad Sci U S A. 2012;109:14746–14753. doi: 10.1073/pnas.1207726109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Makino T, McLysaght A. Ohnologs in the human genome are dosage balanced and frequently associated with disease. Proc Natl Acad Sci U S A. 2010;107:9270–9274. doi: 10.1073/pnas.0914697107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Singh PP, Arora J, Isambert H. Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates, Based on Synteny Comparison across Multiple Genomes. PLoS Comput Biol. 2015;11 doi: 10.1371/journal.pcbi.1004394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Moriyama Y, et al. Evolution of the fish heart by sub/neofunctionalization of an elastin gene. Nat Commun. 2016;7 doi: 10.1038/ncomms10397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lynch M. The frailty of adaptive hypotheses for the origins of organismal complexity. Proc Natl Acad Sci U S A. 2007;104:8597–8604. doi: 10.1073/pnas.0702207104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Jensen JD, et al. The importance of the Neutral Theory in 1968 and 50 years on: A response to Kern and Hahn 2018. Evolution (N Y) 2019;73:111–114. doi: 10.1111/evo.13650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Galtier N. Half a Century of Controversy: The Neutralist/Selectionist Debate in Molecular Evolution. Genome Biol Evol. 2024;16 doi: 10.1093/gbe/evae003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Sadier A, Sears KE, Womack M. Unraveling the heritage of lost traits. J Exp Zool B Mol Dev Evol. 2022;338:107–118. doi: 10.1002/jez.b.23030. [DOI] [PubMed] [Google Scholar]
- 94.Parker J. Organ Evolution: Emergence of Multicellular Function. Annu Rev Cell Dev Biol. 2024;40:49. doi: 10.1146/annurev-cellbio-111822-121620. [DOI] [PubMed] [Google Scholar]
- 95.Price PD, et al. Detecting signatures of selection on gene expression. Nat Ecol Evol. 2022;6:1035–1045. doi: 10.1038/s41559-022-01761-8. [DOI] [PubMed] [Google Scholar]
- 96.Sackton TB. Studying Natural Selection in the Era of Ubiquitous Genomes. Trends in Genetics. 2020;36:792–803. doi: 10.1016/j.tig.2020.07.008. [DOI] [PubMed] [Google Scholar]
- 97.Barghi N, Hermisson J, Schlötterer C. Polygenic adaptation: a unifying framework to understand positive selection. Nat Rev Genet. 2020;21:769–781. doi: 10.1038/s41576-020-0250-z. [DOI] [PubMed] [Google Scholar]
- 98.Slodkowicz G, Goldman N. Integrated structural and evolutionary analysis reveals common mechanisms underlying adaptive evolution in mammals. Proceedings of the National Academy of Sciences. 2020;117:5977–5986. doi: 10.1073/pnas.1916786117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Hawkins JA, et al. A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species. Proceedings of the National Academy of Sciences. 2019;116:11351–11360. doi: 10.1073/pnas.1814995116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Enard D, Cai L, Gwennap C, Petrov DA. Viruses are a dominant driver of protein adaptation in mammals. Elife. 2016;5:e12469. doi: 10.7554/eLife.12469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Shultz AJ, Sackton TB. Immune genes are hotspots of shared positive selection across birds and mammals. Elife. 2019;8:e41815. doi: 10.7554/eLife.41815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Chen J, et al. A quantitative framework for characterizing the evolutionary history of mammalian gene expression. Genome Res. 2019;29:53–63. doi: 10.1101/gr.237636.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Shao Y, et al. Phylogenomic analyses provide insights into primate evolution. Science (1979) 2023;380:913–924. doi: 10.1126/science.abn6919. [DOI] [PubMed] [Google Scholar]
- 104.Rodríguez-Montes L, et al. Sex-biased gene expression across mammalian organ development and evolution. Science (1979) 2023;382 doi: 10.1126/science.adf1046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Uebbing S, et al. Evolutionary Innovations in Conserved Regulatory Elements Associate With Developmental Genes in Mammals. Mol Biol Evol. 2024;41 doi: 10.1093/molbev/msae199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Liu J, Robinson-Rechavi M. Robust inference of positive selection on regulatory sequences in the human brain. Sci Adv. 2020;6:9863–9890. doi: 10.1126/sciadv.abc9863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Lichilín N, El Taher A, Böhne A. Sex-biased gene expression and recent sex chromosome turnover. Philosophical Transactions of the Royal Society B: Biological Sciences. 2021;376 doi: 10.1098/rstb.2020.0107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Naqvi S, et al. Conservation, acquisition, and functional impact of sex-biased gene expression in mammals. Science (1979) 2019;365 doi: 10.1126/science.aaw7317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Harrison PW, et al. Sexual selection drives evolution and rapid turnover of male gene expression. Proc Natl Acad Sci U S A. 2015;112:4393–4398. doi: 10.1073/pnas.1501339112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Abzhanov A. von Baer’s law for the ages: lost and found principles of developmental evolution. Trends in Genetics. 2013;29:712–722. doi: 10.1016/j.tig.2013.09.004. [DOI] [PubMed] [Google Scholar]
- 111.Darwin Correspondence Project. ( https://www.darwinproject.ac.uk/)
- 112.Garfield DA, Wray GA. Comparative embryology without a microscope: Using genomic approaches to understand the evolution of development. J Biol. 2009;8 doi: 10.1186/jbiol161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Irie N, Kuratani S. The developmental hourglass model: a predictor of the basic body plan? Development. 2014;141:4649–4655. doi: 10.1242/dev.107318. [DOI] [PubMed] [Google Scholar]
- 114.Sears KE, Maier JA, Sadier A, Sorensen D, Urban DJ. Timing the developmental origins of mammalian limb diversity. Genesis. 2018;56 doi: 10.1002/dvg.23079. [DOI] [PubMed] [Google Scholar]
- 115.Galis F, Metz JAJ, Van Alphen JJM. Development and Evolutionary Constraints in Animals. Annu Rev Ecol Evol Syst. 2018;49:499–522. [Google Scholar]
- 116.Hu H, et al. Constrained vertebrate evolution by pleiotropic genes. Nat Ecol Evol. 2017;1:1722–1730. doi: 10.1038/s41559-017-0318-0. [DOI] [PubMed] [Google Scholar]
- 117.Ganofsky J, et al. Inverse hourglass pattern of conservation in rodent molar development. bioRxiv. 2025 doi: 10.1101/2025.01.23.634446. [DOI] [Google Scholar]
- 118.Levinger R, et al. Single-cell and Spatial Transcriptomics Illuminate Bat Immunity and Barrier Tissue Evolution. Mol Biol Evol. 2025;42 doi: 10.1093/molbev/msaf017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Peichel CL, Marques DA. The genetic and molecular architecture of phenotypic diversity in sticklebacks. Philosophical Transactions of the Royal Society B: Biological Sciences. 2017;372:20150486. doi: 10.1098/rstb.2015.0486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Orr HA. The population genetics of adaptation: The distribution of factors fixed during adaptive evolution. Evolution (N Y) 1998;52:935–949. doi: 10.1111/j.1558-5646.1998.tb01823.x. [DOI] [PubMed] [Google Scholar]
- 121.Bohutínská M, Peichel CL. Divergence time shapes gene reuse during repeated adaptation. Trends Ecol Evol. 2024;39:396–407. doi: 10.1016/j.tree.2023.11.007. [DOI] [PubMed] [Google Scholar]
- 122.Feigin CY, et al. Convergent deployment of ancestral functions during the evolution of mammalian flight membranes. Sci Adv. 2023;9 doi: 10.1126/sciadv.ade7511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Moreno JA, et al. Emx2 underlies the development and evolution of marsupial gliding membranes. Nature. 2024;629:127–135. doi: 10.1038/s41586-024-07305-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Schindler M, et al. Comparative single-cell analyses reveal evolutionary repurposing of a conserved gene programme in bat wing development. Nat Ecol Evol. 2025;9:1626–1642. doi: 10.1038/s41559-025-02780-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Sackton TB, et al. Convergent regulatory evolution and loss of flight in paleognathous birds. Science (1979) 2019;364:74–78. doi: 10.1126/science.aat7244. [DOI] [PubMed] [Google Scholar]
- 126.Kingsley EP, et al. Adaptive tail-length evolution in deer mice is associated with differential Hoxd13 expression in early development. Nat Ecol Evol. 2024;8:791–805. doi: 10.1038/s41559-024-02346-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Vickaryous MK, Hall BK. Human cell type diversity, evolution, development, and classification with special reference to cells derived from the neural crest. Biological Reviews. 2006;81:425. doi: 10.1017/S1464793106007068. [DOI] [PubMed] [Google Scholar]
- 128.Niepoth N, et al. Evolution of a novel adrenal cell type that promotes parental care. Nature. 2024;629:1082–1090. doi: 10.1038/s41586-024-07423-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Gans C, Northcutt RG. Neural Crest and the Origin of Vertebrates: A New Head. Science (1979) 1983;220:268–273. doi: 10.1126/science.220.4594.268. [DOI] [PubMed] [Google Scholar]
- 130.Martik ML, Bronner ME. Riding the crest to get a head: neural crest evolution in vertebrates. Nat Rev Neurosci. 2021;22:616–626. doi: 10.1038/s41583-021-00503-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Green SA, Simoes-Costa M, Bronner ME. Evolution of vertebrates as viewed from the crest. Nature. 2015;520:474–482. doi: 10.1038/nature14436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Edens BM, Bronner ME. Making sense of vertebrate senses from a neural crest and cranial placode evo-devo perspective. Trends Neurosci. 2025;48:213–226. doi: 10.1016/j.tins.2024.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Arendt D. The evolution of cell types in animals: Emerging principles from molecular studies. Nat Rev Genet. 2008;9:868–882. doi: 10.1038/nrg2416. [DOI] [PubMed] [Google Scholar]
- 134.Ramos R, et al. Superstable lipid vacuoles endow cartilage with its shape and biomechanics. Science (1979) 2025;387 doi: 10.1126/science.ads9960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Arendt D, et al. The origin and evolution of cell types. Nat Rev Genet. 2016;17:744–757. doi: 10.1038/nrg.2016.127. [DOI] [PubMed] [Google Scholar]
- 136.Brunet T, King N. The Origin of Animal Multicellularity and Cell Differentiation. Dev Cell. 2017;43:124–140. doi: 10.1016/j.devcel.2017.09.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Tosches MA. Developmental and genetic mechanisms of neural circuit evolution. Dev Biol. 2017;431:16–25. doi: 10.1016/j.ydbio.2017.06.016. [DOI] [PubMed] [Google Scholar]
- 138.Huang D, et al. Agouti and BMP signaling drive a naturally occurring fate conversion of melanophores to leucophores in zebrafish. Proc Natl Acad Sci U S A. 2025;122 doi: 10.1073/pnas.2424180122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Hobert O. Current Topics in Developmental Biology. Vol. 116. Academic Press Inc; 2016. Terminal Selectors of Neuronal Identity; pp. 455–475. [DOI] [PubMed] [Google Scholar]
- 140.Wagner GP. The developmental genetics of homology. Nat Rev Genet. 2007;8:473–479. doi: 10.1038/nrg2099. [DOI] [PubMed] [Google Scholar]
- 141.Murphy DP, Hughes AE, Lawrence KA, Myers CA, Corbo JC. Cis-regulatory basis of sister cell type divergence in the vertebrate retina. Elife. 2019;8:e48216. doi: 10.7554/eLife.48216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Kelber A. Vertebrate vision: New light on the enigmatic double cone. Current Biology. 2025;35:R382–R384. doi: 10.1016/j.cub.2025.04.023. [DOI] [PubMed] [Google Scholar]
- 143.Baden T, et al. A standardized nomenclature for the rods and cones of the vertebrate retina. PLoS Biol. 2025;23 doi: 10.1371/journal.pbio.3003157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Weil MT, et al. Axonal ensheathment in the nervous system of lamprey: Implications for the evolution of myelinating glia. Journal of Neuroscience. 2018;38:6586–6596. doi: 10.1523/JNEUROSCI.1034-18.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Lamanna F, et al. A lamprey neural cell type atlas illuminates the origins of the vertebrate brain. Nat Ecol Evol. 2023;7:1714–1728. doi: 10.1038/s41559-023-02170-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Stadtmauer DJ, et al. Cell type and cell signalling innovations underlying mammalian pregnancy. Nat Ecol Evol. 2025;9:1469–1486. doi: 10.1038/s41559-025-02748-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Lynch VJ, et al. Adaptive changes in the transcription factor HoxA-11 are essential for the evolution of pregnancy in mammals. Proceedings of the National Academy of Sciences. 2008;105:14928–14933. doi: 10.1073/pnas.0802355105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Emera D, et al. Convergent evolution of endometrial prolactin expression in primates, mice, and elephants through the independent recruitment of transposable elements. Mol Biol Evol. 2012;29:239–247. doi: 10.1093/molbev/msr189. [DOI] [PubMed] [Google Scholar]
- 149.Zheng X, et al. Fossil evidence of avian crops from the Early Cretaceous of China. Proc Natl Acad Sci U S A. 2011;108:15904–15907. doi: 10.1073/pnas.1112694108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Major AT, Estermann MA, Roly ZY, Smith CA. An evo-devo perspective of the female reproductive tract. Biol Reprod. 2022;106:9–23. doi: 10.1093/biolre/ioab166. [DOI] [PubMed] [Google Scholar]
- 151.McLennan DA. The Concept of Co-option: Why Evolution Often Looks Miraculous. Evolution: Education and Outreach. 2008;1:247–258. [Google Scholar]
- 152.Castro LFC, et al. Recurrent gene loss correlates with the evolution of stomach phenotypes in gnathostome history. Proceedings of the Royal Society B: Biological Sciences. 2013;281 doi: 10.1098/rspb.2013.2669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Lewis ZR, Kerney R, Hanken J. Developmental basis of evolutionary lung loss in plethodontid salamanders. Sci Adv. 2022;8:6108. doi: 10.1126/sciadv.abo6108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Kato A, et al. Convergent gene losses and pseudogenizations in multiple lineages of stomachless fishes. Commun Biol. 2024;7:408. doi: 10.1038/s42003-024-06103-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Elmer KR, Clobert J. Dollo’s law of irreversibility in the post-genomic age. Trends Ecol Evol. 2025;40:136–146. doi: 10.1016/j.tree.2024.09.010. [DOI] [PubMed] [Google Scholar]
- 156.Editorial. Exciting times for evolutionary biology. Nat Ecol Evol. 2024;8:593–594. doi: 10.1038/s41559-024-02402-y. [DOI] [PubMed] [Google Scholar]
- 157.Zaremba B, et al. Developmental origins and evolution of pallial cell types and structures in birds. Science (1979) 2025;387 doi: 10.1126/science.adp5182. [DOI] [PubMed] [Google Scholar]
- 158.Rueda-Alaña E, et al. Evolutionary convergence of sensory circuits in the pallium of amniotes. Science (1979) 2025;387 doi: 10.1126/science.adp3411. [DOI] [PubMed] [Google Scholar]
- 159.Santos-Durán GN, Cooper RL, Jahanbakhsh E, Timin G, Milinkovitch MC. Self-organized patterning of crocodile head scales by compressive folding. Nature. 2025;637:375–383. doi: 10.1038/s41586-024-08268-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Savin T, et al. On the growth and form of the gut. Nature. 2011;476:57–63. doi: 10.1038/nature10277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Kaplow IM, et al. Relating enhancer genetic variation across mammals to complex phenotypes using machine learning. Science (1979) 2023;380 doi: 10.1126/science.abm7993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Sarropoulos I, et al. The evolution of gene regulation in mammalian cerebellum development. Science (1979) 2026;391 doi: 10.1126/science.adw9154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Paolino A, et al. Differential timing of a conserved transcriptional network underlies divergent cortical projection routes across mammalian brain evolution. Proceedings of the National Academy of Sciences. 2020;117:10554–10564. doi: 10.1073/pnas.1922422117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Kebschull JM, et al. Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set. Science (1979) 2020;370 doi: 10.1126/science.abd5059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Karten HJ. Neocortical Evolution: Neuronal Circuits Arise Independently of Lamination. Current Biology. 2013;23:R12–R15. doi: 10.1016/j.cub.2012.11.013. [DOI] [PubMed] [Google Scholar]
- 166.Briscoe SD, Ragsdale CW. Homology, neocortex, and the evolution of developmental mechanisms. Science (1979) 2018;362:190–193. doi: 10.1126/science.aau3711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Puelles L. Thoughts on the development, structure and evolution of the mammalian and avian telencephalic pallium. Philosophical Transactions of the Royal Society B: Biological Sciences. 2001;356:1583–1598. doi: 10.1098/rstb.2001.0973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Tosches MA, et al. Evolution of pallium, hippocampus, and cortical cell types revealed by single-cell transcriptomics in reptiles. Science (1979) 2018;360:881–888. doi: 10.1126/science.aar4237. [DOI] [PubMed] [Google Scholar]
- 169.Colquitt BM, Merullo DP, Konopka G, Roberts TF, Brainard MS. Cellular transcriptomics reveals evolutionary identities of songbird vocal circuits. Science (1979) 2021;371 doi: 10.1126/science.abd9704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Woych J, et al. Cell-type profiling in salamanders identifies innovations in vertebrate forebrain evolution. Science (1979) 2022;377 doi: 10.1126/science.abp9186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Hecker N, et al. Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium. Science (1979) 2025;387 doi: 10.1126/science.adp3957. [DOI] [PubMed] [Google Scholar]
- 172.Grillner S, Robertson B. The Basal Ganglia Over 500 Million Years. Current Biology. 2016;26:R1088–R1100. doi: 10.1016/j.cub.2016.06.041. [DOI] [PubMed] [Google Scholar]
- 173.Capel B. Vertebrate sex determination: Evolutionary plasticity of a fundamental switch. Nat Rev Genet. 2017;18:675–689. doi: 10.1038/nrg.2017.60. [DOI] [PubMed] [Google Scholar]
- 174.Zhao D, et al. Somatic sex identity is cell autonomous in the chicken. Nature. 2010;464:237–242. doi: 10.1038/nature08852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Warnefors M, et al. Sex-biased microRNA expression in mammals and birds reveals underlying regulatory mechanisms and a role in dosage compensation. Genome Res. 2017;27:1961–1973. doi: 10.1101/gr.225391.117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Chen J, Richardson PR, Kirby C, Eddy SR, Hoekstra HE. Cellular evolution of the hypothalamic preoptic area of behaviorally divergent deer mice. Elife. 2025;13 doi: 10.7554/eLife.103109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Li F, et al. Sex differences orchestrated by androgens at single-cell resolution. Nature. 2024;629:193–200. doi: 10.1038/s41586-024-07291-6. [DOI] [PubMed] [Google Scholar]
- 178.Brückner A, et al. Evolutionary assembly of cooperating cell types in an animal chemical defense system. Cell. 2021;184:6138–6156.:e28. doi: 10.1016/j.cell.2021.11.014. [DOI] [PubMed] [Google Scholar]


