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Microbial Biotechnology logoLink to Microbial Biotechnology
. 2020 Oct 30;14(1):111–125. doi: 10.1111/1751-7915.13692

Dictyostelium discoideum as a non‐mammalian biomedical model

Javier Martín‐González 1, Javier‐Fernando Montero‐Bullón 2, Jesus Lacal 1,
PMCID: PMC7888446  PMID: 33124755

This MS opens a window to the general audience on the potential of Dictyostelium as a model microbe in biomedicine.

graphic file with name MBT2-14-111-g005.jpg

Summary

Dictyostelium discoideum is one of eight non‐mammalian model organisms recognized by the National Institute of Health for the study of human pathology. The use of this slime mould is possible owing to similarities in cell structure, behaviour and intracellular signalling with mammalian cells. Its haploid set of chromosomes completely sequenced amenable to genetic manipulation, its unique and short life cycle with unicellular and multicellular stages, and phenotypic richness encoding many human orthologues, make Dictyostelium a representative and simple model organism to unveil cellular processes in human disease. Dictyostelium studies within the biomedical field have provided fundamental knowledge in the areas of bacterial infection, immune cell chemotaxis, autophagy/phagocytosis and mitochondrial and neurological disorders. Consequently, Dictyostelium has been used to the development of related pharmacological treatments. Herein, we review the utilization of Dictyostelium as a model organism in biomedicine.

Introduction

The cellular slime mould Dictyostelium discoideum is a protist that has long been regarded as a valuable and attractive tool for the study of eukaryotic cell biology because a high number of conserved functions and host‐pathogen interactions comparable to human cells (Annesley and Fisher, 2009). Dictyostelium provides a potential valuable vehicle for studying functions of protein human orthologues in a system which is experimentally tractable with an intermediate complexity between yeasts and higher multicellular eukaryotes (Eichinger et al., 2005). Based on studies that survey the presence of human orthologues in D. Discoideum, probing a set of genes related to human disease, the number of hits was estimated highly relevant (22%) and similar to other model organisms such as D. melanogaster or C. elegans, while higher than in S. cerevisiae or S. pombe (Eichinger et al., 2005). Dictyostelium has a 34 Mb haploid genome with six chromosomes encoding ~ 12 500 proteins (Steinert and Heuner, 2005). Its genome has been entirely sequenced and detailed genomic and proteomic information can be found in dictyBase (http://dictybase.org/) (Kreppel et al., 2004; Chisholm, 2006; Fey et al., 2009, 2013; Gaudet et al., 2011; Basu et al., 2013). In particular, Dictyostelium is one of eight non‐mammalian model organisms recognized by the National Institute of Health (NIH) in the United States for its utility in the study of fundamental molecular processes of human medical importance (Goldberg et al., 2006).

Its developmental life cycle is unique among protists and at the different stages of development, Dictyostelium features both plant‐ and animal‐like characteristics (Barth et al., 2007). Different stages in the life cycle of D. discoideum are shown in Figure 1. Dictyostelium grows by the mitotic division of single cells that feed by phagocytosis on bacteria, or by macropinocytosis on simple axenic liquid medium, making it possible to reach high cell densities (Williams et al., 2006; Paschke et al., 2019). Upon starvation, Dictyostelium cells exhibit an impressive multicellular cooperativity and start to aggregate by chemotaxis in response to released cAMP signals (Steinert and Heuner, 2005). More than 100,000 cells are forming the aggregate called motile slug. The slug responds thermotactically and phototactically with exquisite sensitivity (Annesley and Fisher, 2009). After the formation of a motile slug, the differentiation culminates in the production of a fruiting body consisting of 80% spore cells and 20% dead stalk cells (Steinert and Heuner, 2005).

Fig. 1.

Fig. 1

Dictyostelium cells (A) and developmental time course (B, C, D) in the absence of nutrients. Wild‐type AX3 cells grown in shaking axenic culture were plated on glass (A), and on non‐nutrient agar plates (B, C, D) and allowed to starve (t = 0 h) as previously described (Lacal et al., 2018). (A) Image of AX3 cells plated on glass by digital interference contrast microscopy. In the absence of nutrients starvation is imminent, the amoebae stop dividing and activate several genes that will allow them to aggregate by chemotaxis towards cAMP diffusing from centrally located cells. Pictures of developing cells were taken during (B) aggregation (t = 6 h), (C) mound (t = 12 h) and (D) after completion of formation of fruiting bodies (t = 24 h) using time‐lapse phase‐contrast microscopy. Scale bar in (A), 50 µm, whereas in (B, C, D) represents 1 mm.

D. discoideum has been studied for many years, and some papers have presented it as a relevant model in biomedicine (Hägele et al., 2000; Steinert and Heuner, 2005; Chisholm, 2006; Alibaud et al., 2008; Annesley and Fisher, 2009; Bozzaro and Eichinger, 2011; Francione et al., 2011; Terbach et al., 2011; Bozzaro, 2013; Tatischeff, 2013; Annesley et al., 2014; Cunliffe et al., 2015; Otto et al., 2016; Frej et al., 2017; Mesquita et al., 2017; Domínguez‐Martín et al., 2018; Leoni et al., 2018; McLaren et al., 2019; Pearce et al., 2019; Schaf et al., 2019; Tatischeff, 2019; Thewes et al., 2019; Perry et al., 2020). To the best of our knowledge, D. discoideum was not just first isolated but also studied within the biomedical field in the infection of human pathogen bacteria (Raper and Smith, 1939). However, Dictyostelium will not be considered as a biomedical model until many years later (Saxe, 1999). Nowadays, recent papers have a different and wider perspective from those of the beginning, from studies of the extracellular vesicle (EV) in cancer (Tatischeff, 2013, 2019), the endoplasmic reticulum stress (Domínguez‐Martín et al., 2018) or microbiome regulation and homeostasis in humans (Farinholt et al., 2019), to CRISPR technology applications (Iriki et al., 2019). In this minireview, we recapitulate the major areas using D. discoideum as a model organism in biomedicine.

Infection by bacterial pathogens

Due to the similarities between D. discoideum and human cells, Dictyostelium is a good model for the study of microbial infection since the damage made by the pathogen is mimicked (Annesley and Fisher, 2009). Legionella pneumophila is perhaps the most studied bacterial pathogen in Dictyostelium. During the colonization of the human respiratory tract, L. pneumophila enters and multiplies within alveolar macrophages, leading to severe pneumonia called Legionnaires disease (Hägele et al., 2000; Williams et al., 2006). In order to characterize the intracellular life cycle of Legionella, investigators have used a variety of host cells, including free‐living protozoa and human cells (Hägele et al., 2000). In human cells L. pneumophila enters in the macrophages by phagocytosis, then recruits endoplasmic reticulum vesicles where it starts to multiply, and newly form bacteria get out of the host by lysis (Williams et al., 2006; Annesley and Fisher, 2009). D. discoideum has been used to analyse the uptake, the dynamics movements of L. pneumophila containing vacuole (LCV), the transcriptional changes after infection, the protein composition of LCV and also to study some of the Legionella virulence factors and cellular targets (Bozzaro et al., 2019). The most studied proteins are related to the uptake process, which is made by conventional phagocytosis, including but not limited to G proteins (gpbA), phospholipase C (plc), calnexin (cnxA), calreticulin (crtA) and cytoskeleton‐associated proteins (Fig. 2) (Steinert and Heuner, 2005; Williams et al., 2006). Regarding the uptake and bacterial replication in the phagosome, both processes have been studied in D. discoideum profilin‐minus (well‐conserved actin‐binding proteins) strains, that are more susceptible of Legionella infection (Fajardo et al., 2004). On the other hand, Nramp1‐minus (orthologue of the mammalian SLC11a1) Dictyostelium cells displayed a reduced phagocytosis and a higher intracellular growth of L. pneumophila because depletes the phagosome of iron (Steinert and Heuner, 2005; Bozzaro and Eichinger, 2011). Dictyostelium Ca2+‐binding proteins with chaperone activity in the endoplasmic reticulum calnexin and calreticulin were found to be involved not only in endocytosis but also in exocytosis (Williams et al., 2006).

Fig. 2.

Fig. 2

D. discoideum genes with implications in pathogenesis. A total of 29 genes have been identified in Dictyostelium as host model for pathogenesis. The encoded proteins are involved in intracellular growth (blue), bacterial uptake (yellow) and in both processes (overlapping area).

Apart from the uptake via phagocytosis, there are evidences that suggest macropinocytosis as another mechanism for bacteria uptake (Bozzaro and Eichinger, 2011). Some other factors related with both, phagocytosis and macropinocytosis, are Arp2/3 complex, RpkA (rpkA), WASP (wasA) and WAVE (scrA), small G proteins of the Rho family (such as Rab5, Rab7, Rab8 and Rab14, which are necessary for the fusion of phagosome with lysosome) and actin‐binding proteins such as coronin (corA), a well‐conserved protein in Dictyostelium (Thewes et al., 2019) whose absence produces a reduced Legionella uptake and enhances intracellular growth (Leoni Swart et al., 2018). All the above proteins are essential in the uptake of L. pneumophila (Annesley and Fisher, 2009; Bozzaro and Eichinger, 2011) (Fig. 2). Rac proteins (Bozzaro and Eichinger, 2011) and PTEN (pten) (Annesley and Fisher, 2009; Bozzaro et al., 2019) are also necessary for the uptake of nutrients. The decrease in PI(4,5)P₂ has been related with a higher Legionella infection in collaboration with PIPLC (PIPLC inhibitors do not let phagocytosis to happen), PI3K (pikA) (inhibition of PI3K would let a higher Legionella replication) and the PI‐5‐phosphatase (Dd5P4), helping the fusion of vesicle and lysosome (Bozzaro and Eichinger, 2011).

Besides the discoveries made in the uptake process, Dictyostelium helped identifying new host cell factors for intracellular growth including LimC/LimD (limC), myosin I (myoA and myoB), profilin (proA and proB) and Nramp1 (nramp1) (Hägele et al., 2000) (Fig. 2). Also, the presence of inositol polyphosphate 5‐phosphatase (Dd5P4), similar to the human protein OCRL1, reduces pathogen replication and the LCV formation (Bozzaro and Eichinger, 2011). AMP‐activated protein kinase (AMPK) (snfA) overexpression, a central cellular energy sensor, helps for a higher proliferation of L. pneumophila (Annesley and Fisher, 2009; Bozzaro and Eichinger, 2011). Further, a defective AMPK in D. discoideum causes reduced growth, impaired aggregation, misdirection and mislocalization at the slug stage, impaired slug phototaxis and thermotaxis (Annesley and Fisher, 2009).

Last but not least, we would like to mention that there are more pathogens for which D. discoideum was used as a model organism to study infection. Bordetella genus is involved in pathologies such as whooping cough. Recently, species of the genus B. bronchiseptica were proposed to use Dictyostelium as an environmental reservoir (Taylor‐Mulneix et al., 2017). Other pathogens include but are not limited to Mycobacterium marinum (Hagedorn et al., 2009), Salmonella typhimurium (Sillo et al., 2011), Pseudomonas aeruginosa (Cosson et al., 2002; Pukatzki et al., 2002; Alibaud et al., 2008), Klebsiella pneumoniae (Lima et al., 2014), Francisella noatunensis subsp. Noatunensis (Brenz et al., 2018), Cryptococcus neoformans (Steenbergen et al., 2003) and yeast such as Candida albicans (Koller et al., 2016). These organisms are less studied than L. pneumoniae, but they allowed the identification of key proteins including the orthologue of the mammalian SLC11a1 protein (encode by Dictyostelium nramp1, which depletes iron from the phagolysosome in an ATP‐dependent process), myosin (myoA and myoB, involved in cell motility) and atg1 (atg1, serine/threonine protein kinase involved in autophagy). These and other host key proteins in D. Discoideum have been unravelled (Table 1, Table S1).

Table 1.

D. discoideum proteins involved in Legionella pneumophila infection. M.m.: Mycobacterium marinum, S.m.: Salmonella typhimurium, K.p.: Klebsiella pneumoniae, F.n.: Francisella noatunensis subsp. Noatunensis, C.n.: Cryptococcus neoformans, C.a.: Candida albicans.

Gene name

(Dictyostelium)

UniProt

(Dictyostelium)

Species

Gene name

(Dictyostelium)

UniProt

(Dictyostelium)

Species
abpC P13466 L.p. wasA Q9GSG9 L.p.
act P07830 L.p. xrn1,hsp60 Q75JF5,Q54J97 L.p.
aip1 P54686 L.p. atg1 Q86CS2 F.n/ C.a,.
cnrN Q54JL7 L.p. Kil1 Q55GK8 C.a,
cnxA, crtA Q55BA8,Q23858 L.p. fspa Q86K54 K.p.
corB Q55E54 L.p. rtoA P54681 C.n.
Dd5P4 Q8I7P3 L.p. Rd1 C7G076 M.m.
dupA Q550K8 L.p. csaA P08796 S.t..
gpbA P36408 L.p. csbA P16642 S.t.
limC Q9BIW5 L.p. csbC Q558X5 S.t.
myoB, myoA P34092,P22467 L.p./ C.n. cadA P54657 S.t.
nramp1 Q869V1 L.p./ F.n cad2 O97113 S.t.
phg1A Q55FP0 L.p. dscA‐a P02886 S.t.
pikA P54673 L.p. dscE P42530 S.t.
plc Q02158 L.p. dscC‐1 P02887 S.t.
proA, proB P26199,P26200 L.p. dicB Q55GS3 S.t.
rab5A Q86JP3 L.p. cbpA P35085 S.t.
RacH Q9GPR7 L.p. cbpC P54653 S.t.
rpkA Q86D86 L.p. cbpD1 Q54RF4 S.t.
snfA Q54YF2 L.p. cbpG Q54QT8 S.t.
tirA Q54HT1 L.p.

Directed migration, or chemotaxis, of immune cells

Many immune cells can detect the direction and intensity of an extracellular chemical gradient and migrate towards the source of stimulus. This process, called chemotaxis, is essential for immune system function and homeostasis (Mañes et al., 2005). As aforementioned, some studies on D. discoideum exploit the similarities with macrophages in the uptake of pathogens such as Legionella. In Dictyostelium, vegetative cells access nutrient sources by migration towards products such as folic acid derived from bacteria or yeast, or locally secreted cAMP in the formation of motile slug during periods of starvation (Artemenko et al., 2014) (Fig. 1). This amoeboid movement is well conserved along eukaryotic evolution and resembles movement in human cells such as leucocytes or metastatic tumour cells (Artemenko et al., 2014). Indeed, many immunity diseases are linked with defects in leucocyte and macrophage chemotaxis and can also be modelled in Dictyostelium (Carnell and Insall, 2011). Interestingly, there are many similarities between the chemotactic signalling pathway of Dictyostelium and leucocytes, where G‐protein‐coupled receptors (GPCRs) signal changes cytoskeletal dynamics (Artemenko et al., 2014). Regarding immunity diseases, Wiskott–Aldrich syndrome is caused by mutations in the WAS gene and is characterized by abnormal or non‐functional white blood cells (Carnell and Insall, 2011). D. discoideum WASP protein (wasA) contributes to front‐rear cell polarity by controlling localization and cellular levels of activated Rac (rac1B, racA and racG) (Amato et al., 2019). Shwachman–Diamond syndrome particularly affects the bone marrow, pancreas and bones. This syndrome is caused by mutations in the SBDS gene encoding a protein that is required for the assembly of mature ribosomes and ribosome biogenesis. Dictyostelium SBDS localizes to the pseudopodia in cAMP gradient (Williams et al., 2006), and when mutated, caused defective PMN leucocytes orientation towards a N‐formylmethionyl‐leucyl‐phenylalanine (fMLP) spatial gradient (Artemenko et al., 2014). Many other Dictyostelium proteins involved in chemotaxis are conserved in humans, such as TORC2 (formed by the tor, lst8, rip3 and piaA products) (Annesley and Fisher, 2009), RAS (rasC, rasD or rasG) (Carnell and Insall, 2011) PTEN (pten) and PI3K (pikA) (Annesley and Fisher, 2009), PKB (pkbA) and PAKa (pakA) (Annesley and Fisher, 2009) (Table 2, Table S2). Also Dictyostelium has allowed to study the chemotaxis in tumour cells, by the GPCRs signalling pathways mentioned above, and also by the LEGI model, in which receptor occupancy by the chemoattractant triggers a fast, local excitatory signal and a lower global inhibitory signal (Roussos et al., 2011).

Table 2.

D. discoideum proteins related to directed cell migration of immune cells. Proteins are classified by its biological function including actin cytoskeleton organization, regulation of signal transduction, protein phosphorylation and small GTPase‐mediated signal transduction.

Gene name (Dictyostelium) UniProt (Dictyostelium)
Actin cytoskeleton organization
alxA Q8T7K0
cosA Q558Y7
DDB_G0284937 Q54NX5
gnrC Q551I6
lst8 Q54D08
pakA Q55D99
piaA O77203
pikA P54673
pkbA P54644
ripA C7G030
scrA Q54NF8
Protein phosphorylation
DDB_G0293184 Q54C77
pakC Q55GV3
pakD Q55DD4
Small GTPase‐mediated signal transduction
carA‐1 P13773
gemA Q55G45
gflD Q54WL2
kxcA Q54GY6
kxcB Q54C71
rac1B P34145
racA P34147
racG Q9GPS0
rasC P32253
rasD P03967
rasG P15064
xacA Q54DW4
Small GTPase‐mediated signal transduction
gefC Q8IS20
gxcC Q54P24
gxcCC Q54XA7
gxcD Q55G27
gxcT Q55DL8
pten Q8T9S7
raptor Q55BR7
roco10 Q6XHA6
roco5 Q1ZXD6
roco9 Q6XHA7
tor Q86C65

Neurological disorders

D. discoideum is also a good model for the study of some neurological disorders including Alzheimer, Huntington, epilepsy, bipolar disorder or neuronal ceroid lipofuscinoses (Myre, 2012; Frej et al., 2017; McLaren et al., 2019). One of the biggest advantages of using D. discoideum in neuronal disorders is that unlike mammalian models where some of these genes are essential for embryogenesis such as HTT, presenilins (psenA and psenB) or amyloid beta peptide, in D. discoideum they are not and therefore, they can be mutated (Myre, 2012). Also, the genes related with the neural pathology in mammals do not exist in some cases in other eukaryotic models but appears in D. discoideum, including but not limited to genes responsible for the neuronal ceroid lipofuscinosis (NCL) (McLaren et al., 2019). Main Dictyostelium proteins studied in neurological disorders with human orthologues are listed in Figure 3 and Table S3.

Fig. 3.

Fig. 3

D. discoideum genes implicated in neurological disorders. This Venn diagram includes some of the most interesting genes in D. discoideum for the study of neurological diseases in humans including Alzheimer, Huntington, epilepsy, neuronal ceroid lipofuscinosis and bipolar disorder. *ino1 is also related with bipolar disease which is not represented in the figure.

Alzheimer is a neurodegenerative disorder that causes dementia (Myre, 2012). In Alzheimer, Hirano bodies, amyloid plaques and neurofibrillary tangles are the hallmarks of this disease. The Hirano bodies are an aggregate of actin filaments with actin‐interacting proteins, whose function is unknown in the biology of the disease (Carnell and Insall, 2011). Interestingly, D. discoideum cells can synthetize very similar aggregates to Hirano bodies (Maselli et al., 2003; Carnell and Insall, 2011). The main component of Hirano bodies that were found in D. discoideum cells correspond to a 34 kDa actin cross‐linking protein with an aberrant C‐terminal portion (Carnell and Insall, 2011; Myre, 2012) (Fig. 3). Researchers have found that some cases of the disorder can result from mutations in the APP, PSEN1 or PSEN2 genes (Sherrington et al., 1995). APP encodes amyloid precursor protein, whereas PSEN1 and PSEN2 encode presenilin 1 and 2 respectively (Fig. 3). When any of these genes is altered, large amounts of a toxic protein fragment called amyloid beta peptide are produced in the brain (Myre, 2012). This peptide can build up in the brain to form clumps called amyloid plaques (Myre, 2012). Although APP is not present in D. discoideum, cells expressing mammalian APP were able to process it and form Aβ40/Aβ42, the peptides that cause the Alzheimer’s disease in humans (Myre, 2012). On the other hand, presenilin protein in Dictyostelium, as in mammals, is a component of the γ‐secretase complex (aph1, psenen and ncstn) and is essential in Dictyostelium differentiation (Myre, 2012). Myo‐inositol is an abundant carbocyclic sugar in brain and other mammalian tissues where it plays an important role as the structural basis for a number of secondary messengers in eukaryotic cells, mediating cell signal transduction in response to a variety of hormones, neurotransmitters and growth factors. In addition, inositol serves as an important component of the structural lipids phosphatidylinositol (PI) and the phosphatidylinositol phosphate (PIP) lipids (Frej et al., 2017). Myo‐inositol has been largely studied in human cells, as well as in Dictyostelium (Frej et al., 2017). Some studies in Dictyostelium suggested that INO1 (ino1), a key enzyme in myo‐inositol biosynthesis pathway, is responsible for metabolic changes resulting in elevated protein degradation, glucose breakdown and high levels of amino acids (Frej et al., 2016). Other Dictyostelium proteins implicated in Alzheimer's disease are tau‐tubulin kinase orthologue (DDB_G0292354) (Manning et al., 2002) and 3‐hydroxyacyl‐CoA dehydrogenase type‐2 (DDB_G0280465) (Fig. 3).

Huntington’s disease is a progressive neurodegenerative disorder with many consequences such as motor, cognitive and behavioural disturbances. It is caused by mutations in the HTT gene coding for a protein called huntingtin which plays an important role in neurons in the brain and is essential for normal development before birth (Bates, 2005). The hallmark of Huntington’s disease is the high repetition of a CAG trinucleotide leading to the expansion of the HTT gene, that confers a gain‐of‐function property (Bozzaro, 2013). Dictyostelium represents a good model to study this disease since it has a huntingtin human orthologue whose mutation or deficiency is not lethal for the cells (Myre, 2012). Dictyostelium htt mutant cells show pleiotropic defects such as reduced cell–cell and cell‐substratum adhesion, delayed development, a strong cellular sensitivity to osmotic stress, cytoskeletal defects, chemotaxis defects and regulate cell fate during development (Thompson et al., 2014; Bhadoriya et al., 2019). These pleiotropic defects are consistent with the in vitro observations using human cells from Huntington’s disease patients (Bozzaro, 2013). Alzheimer and Huntington’s disease patients were found to have increased levels of AMPK (Annesley and Fisher, 2009). In response to reduction of intracellular ATP levels, AMPK activates energy‐producing pathways and inhibits energy‐consuming processes, as well as cell growth and proliferation (Annesley et al., 2014). As mentioned above, AMPK is conserved in D. discoideum and it is important as a central regulator of energy production in the cells (Fig. 3).

Another neurological pathology where D. discoideum has been very useful is in epilepsy, although the genetics of epilepsy are complex and not completely understood. Seizures is the main hallmark of this neurological disorder, and as in Alzheimer, the myo‐inositol balance is critical in humans (Wellard et al., 2003; Frej et al., 2017). Apart from myo‐inositol, some studies in D. discoideum show that the phosphoinositide PIP₃ is reduced during seizure activity (Chang et al., 2014; Frej et al., 2017). PIP₃ regulates voltage‐gated channel (Viard et al., 2004), neuronal excitability (MacGregor et al., 2002) and insertion of ion channels into synaptic plasma membranes (Lhuillier and Dryer, 2002). PIP₂ is also important in the develop of seizures in the DOORS syndrome, a disorder involving multiple abnormalities, caused by mutations in the TBC1D24 gene (Fischer et al., 2016; Frej et al., 2017). Another key player protein is calmodulin (calA), observed in human cells, not only related to heart arrhythmias, but also to epilepsy and delayed neurodevelopment (O'day et al., 2020). Dictyostelium represents a good model for the study of CalA mutations thanks to its highly conserved structure, haploid genome and the possibility to obtain numerous mutations (O'day et al., 2020).

As mentioned above, D. discoideum has been very useful to study neuronal ceroid lipofuscinosis (NCL), a group of inherited progressive degenerative brain diseases characterized clinically by a decline of mental and other capacities, epilepsy and vision loss through retinal degeneration (McLaren et al., 2019). Related to this pathology, there are 13 genes that when mutated are known to cause the disorder (Fig. 3), 11 out of these 13 genes are conserved in D. discoideum. These 11 genes are Ppt1 (CLN1 orthologue) (Phillips and Gomer, 2015), Tpp1 (CLN2 orthologue) (Phillips and Gomer, 2015), CtsD (CLN10 orthologue) (Ashworth and Quance, 1972) and CprA (CLN13 orthologue) which encode lysosomal enzymes, Ddj1 (CLN4 orthologue) and Kctd9 (CLN14 orthologue) which are membrane proteins, Cln5 (CLN5 orthologue) a soluble lysosomal protein, Grn (CLN11 orthologue) a granulin domain‐containing protein and Cln3 (CLN3 orthologue) (Huber et al., 2014), Mfsd8 (CLN7 orthologue) and Kil2 (CLN12 orthologue) coding for transmembrane proteins that localize in different organelles (Huber, 2016). Interestingly, Ppt1, Tpp1, CLN3 (Huber et al., 2014), CLN5 and CtsD have been studied in Dictyostelium (Huber, 2016; McLaren et al., 2019). Promising results are expected using D. discoideum as a model for the study of NCL (Huber, 2016).

Bipolar disorder is a neuropsychiatric disorder where the patients have severe mood, energy and behaviour swings (Frej et al., 2017). Very little is known about the genetics of bipolar disorder, although some of the genetic changes associated with bipolar disorder have also been found in people with other common mental health disorders, such as schizophrenia. Understanding the genetics of bipolar disorder and other forms of mental illness is an active area of research. Both, the myo‐inositol imbalance and autophagy are essential in the course of this pathology. Indeed, the inositol changes are the target of the actual treatment of the disease (Frej et al., 2017). The way that VPA and lithium (the treatment) produce a reduction of myo‐inositol has been studied in many model organisms including D. discoideum. Studies using Dictyostelium show that these treatments cause an intracellular reduction of InsP₃ (Eickholt et al., 2005) and increase the INO1 transcription (Vaden et al., 2001). VPA also causes a reduction of phosphoinositides like PIP₂ (Xu et al., 2007) while lithium causes a suppression of PIP₃‐mediated signalling (King et al., 2009; Frej et al., 2017). Hence, the dysregulation of phosphoinositides and inositol are linked with the pathology (Frej et al., 2017).

Dictyostelium discoideum as a model organism in autophagy/phagocytosis

Autophagy is a fast‐moving field with an enormous impact on human health and disease which has benefited from the use of D. discoideum. D. discoideum has shed light on the mechanisms that regulate autophagosome formation and contributed significantly to the study of autophagy‐related pathologies (Mesquita et al., 2017). Importantly, autophagy is a process associated with the infection of pathogens such as L. pneumophila and S. thyphimurium and involved in neurodegenerative disorders and cancer. About 17 proteins related to autophagy (the so‐called ATG proteins) have been annotated in D. discoideum (Chisholm, 2006). D. discoideum ATG mutants result in phenotypes with reduced survival under nitrogen starvation, impaired endocytosis and growth, aberrant morphogenesis and defective spore differentiation (Annesley et al., 2014). Among the proteins mediating autophagy ATG8 (atg8), ATG9 (atg9) and ATG16 function on phagocytosis (Bozzaro and Eichinger, 2011). In particular, ATG8 was suggested as a great marker of the autophagy linked with autophagosome–lysosome fusion (Meßling et al., 2017). ATG Dictyostelium proteins and other key proteins related to autophagy/phagocytosis are listed in Tables 3 and S4. D. discoideum has also been used to study autophagy in the elimination of pathogens such as S. aureus, S. enterica, F. noatunensis and M. marinum (Mesquita et al., 2017). Some of the studies are related with the process called ejection, that leads to the escape of the bacteria. Several proteins are involved in the ejection process including but not limited to ATG8, ATG18 (atg18) and Sqstm1 (sqstm1) (Mesquita et al., 2017). As mentioned above, ATG9 and ATG16 play a role in the uptake (Leoni Swart et al., 2018).

Table 3.

D. discoideum proteins involved in pathologies caused by autophagy and phagocytosis defects. A total of 32 proteins have been identified. The proteins are grouped based on their biological function, including autophagy, endosomal transport, multivesicular body organization, vacuole organization, multivesicular body assembly and vacuolar transport.

Gene name (Dictyostelium) UniProt (Dictyostelium)
Autophagy
atg1 Q86CS2
cdcD P90532
psenA Q54ET2
psenB Q54DE8
iplA Q9NA13
Multivesicular body assembly
atg5 Q54GT9
atg6 Q55CC5
atg7 Q86CR9
atg9 Q54NA3
vps20 Q54KZ4
vps22 Q54RC4
vps24 Q54P63
vps25 Q55GD9
vps2A Q54GK9
vps2B Q54DB1
vps36 Q54T18
vps60 Q54JK4
ugpB Q54YZ0
glcS Q55GH4
Multivesicular body organization
sqstm1 Q55CE3
wshA Q54CK9
talB Q54K81
Endosomal transport
tipC Q55FG3
vps35 Q54C24
vps4 Q54PT2
Vacuole organization
vmp1 Q54NL4
Vacuolar transport
tsg101 Q54LJ3
vps13A Q54LB8
vps13B Q555C6
vps13D Q54LN2
vps28 Q54NF1
vps37 Q55DV8

There is evidence of a possible relation between Alzheimer, Huntington and Parkinson diseases, and autophagy dysfunction, that leads to accumulate aberrant organelles and proteins (Mesquita et al., 2017). Some candidates include Vmp1 (vmp1), Sqtm1, ATG5 (atg5) or ATG1, which are involved in protein degradation, or ATG8, ATG5 and ATG1 involved in Hirano bodies‐like aggregates degradation in Alzheimer (Mesquita et al., 2017). Regarding Hirano bodies present in Alzheimer, it has been shown that Dictyostelium can degrade the Hirano bodies‐like aggregates by autophagy and the proteasome (Mesquita et al., 2017) In neurodegenerative disorders, other protein related with autophagy dysfunction is the VPS13 (vps13A, vps13B and vps13D) involved in Parkinson’s disease and Chorea‐acanthocytosis (Mesquita et al., 2017). Also, the gene KIAA0196/Strumpellin which encodes a component of the WASH complex is related with the autosomal dominant hereditary spastic paraplegia in humans (Mesquita et al., 2017). The CdcD protein (cdcD), orthologue of VCP/p97 in humans, is related with cell death by autophagy in the presence of aberrant mitochondria and has been linked to IBMPFD (inclusion body myopathy with early onset Paget's disease of bone and frontotemporal dementia), HSP (hereditary spastic paraplegia), and a form of ALS (amyotrophic lateral sclerosis) (Annesley et al., 2014).

The process that causes cell death by autophagy is called autophagic cell death (ACD), and it is related with tumour suppression and neurological disorders as a consequence of psychological stress (Jung et al., 2020). Interestingly, this process was also observed in D. discoideum (Jung et al., 2020). This process starts in the stalk cells during starvation and finalize with the presence of differentiation factor DIF‐1 for cell death induction (Jung et al., 2020). However, it was found that in Dictyostelium this process is prevented when some genes are mutated including atg1, iplA, talB, ugpB and glcS (Jung et al., 2020).

Mitochondrial syndromes

Mitochondrial diseases are genetic disorders that occur when mitochondria fail to produce enough energy for proper body function. Different diseases may arise including but not limited to metabolic strokes, seizures, cardiomyopathy, arrhythmias, developmental and cognitive disabilities (Barth et al., 2007). Some mitochondrial syndromes are closely related to neurodegenerative diseases such as Huntington and Alzheimer (Annesley and Fisher, 2009), whereas other mitochondrial syndromes are related with diabetes, myopathy, kidney disease, blindness or deafness (Pearce et al., 2019) The mitochondrial genome of Dictyostelium has 55,564 base pairs, its circular and encodes 33 proteins (Barth et al., 2007). It also contains six ORFs, two ribosomal RNA genes and 18 transfer RNA genes (Barth et al., 2007). The proteins are mainly involved in respiration and translation (Barth et al., 2007). There are some important similarities between human and Dictyostelium mitochondrial DNA including the main oxidative phosphorylation pathway (Pearce et al., 2019). Indeed, important proteins implicated in mitochondrial syndromes have been studied in D. discoideum (Table 4 and Table S5).

Table 4.

Main D. discoideum proteins involved in mitochondrial disorders. Most studied proteins are encoded in the nuclear genome, whereas some other proteins are encoded in the mitochondrial genome.

Mitochondrial proteins encoded in nuclear genome
Gene name (Dictyostelium) UniProt (Dictyostelium) Gene name (Dictyostelium) UniProt (Dictyostelium)
abpC P13466 ndufs8 Q86K57
cap P54654 ndufv1 Q54I90
cluA O15818 ndufv2 Q54F10
DDB_G0267514 Q55GU0 piaA O77203
DDB_G0267552 Q55GR1 pkbA P54644
DDB_G0275973 Q552K6 raptor Q55BR7
DDB_G0279405 Q54WW7 rasD, gefE, NS gefL P03967, Q8IS18, B0M0P8
DDB_G0291852 Q54E48 rblA Q54FX2
DDB_G0292722 Q54CZ9 regA Q23917
hspA Q54J97 ripA C7G030
lkb1 Q54WJ0 rps4 P51405
lst8 Q54D08 snfA Q54YF2
midA Q54S83 tor Q86C65
ndufaf5 Q54JW0 trap1 Q86L04
ndufs4 Q8T1V6 GcvH1 Q54JV8
ndufs7 Q54NI6 DDB_G0281081 Q54UH1
Proteins encoded in mitochondrial genome
Gene name (Dictyostelium) UniProt (Dictyostelium)
atp6 Q27559
cox3 O21049
nad1 Q37313
nad11 Q34312
nad2 O21048
nad3 Q37312
nad4 O21047
nad5 Q34313
nad7 Q23883
nad9 P22237

Many mitochondrial syndromes have been related with nuclear encoded proteins that exert their role in mitochondria, mainly AMPK, which overactivation is neurotoxic and it is related with AICA‐ribosiduria, amyotrophic lateral sclerosis (ALS), Alzheimer, Huntington and Parkinson (Annesley and Fisher, 2009; Annesley et al., 2014). In D. discoideum, the kinases involved in AMPK activation are LKB1 (lkb1), TAK1 (DDB_G0267514) and CaMKK2 (DDB_G0279405) (Annesley et al., 2014). The mitochondrial chaperonin 60 protein (Cpn60, hspA) in D. discoideum, is not only related with neurological disorder but also causes developmental diseases, respiratory enzyme deficiencies and early infancy death (Barth et al., 2007). Complex I dysfunction, with various factors present in D. discoideum, causes Leigh syndrome, Parkinson and Alzheimer (Francione et al., 2011). D. discoideum was also used to study the mitochondria glycine cleavage system, GCVH1, orthologue of the human GCSH, which is involved in epilepsy (Perry et al., 2020). Thanks to D. discoideum we now know that CBD (Cannabidiol) could be a good treatment for this pathology (Perry et al., 2020). D. discoideum htrA, orthologue of the human protein HTRA2, was found to play a proteolytic role in mitochondria and its function was related with autosomal dominant late‐onset Parkinson’s disease (Chen et al., 2018). The most common D. discoideum phenotypes related to mitochondrial syndromes are impaired phototaxis and thermotaxis, aberrant multicellular morphogenesis, impaired aggregation and growth and altered phagocytosis (Barth et al., 2007). Heteroplasmy also happens in D. discoideum and results in severe phenotypes depending on the number of mitochondrial DNA copies altered (Annesley and Fisher, 2009).

Pharmacological treatments

Dictyostelium discoideum, as a pharmacological model, provides useful insight into the cellular and molecular functions of both therapeutic drugs and pharmacologically active natural products (Schaf et al., 2019). In particular, the haploid genome of D. discoideum and its amenability to genetic manipulation has helped with the identification of specific genes involved in some pharmacological treatments. One of the most studied drugs in Dictyostelium is valproic acid (VPA). VPA is the most highly prescribed epilepsy treatment worldwide, also used to prevent bipolar disorder and migraine, since it has been demonstrated to have neuroprotective effects in neurodegenerative conditions (Terbach et al., 2011). Some of the VPA targets identified in Dictyostelium are InsP₃, InsP₂ (provoking a reduction) and PIP₃ (protecting against its reduction) (Frej et al., 2017), INO1 (raising its expression) (Frej et al., 2017), DGKA (Kelly et al., 2018), solute carrier 4 bicarbonate transporter (SLC4) (Terbach et al., 2011), histone deacetylase (Cunliffe et al., 2015) and phospholipase A2 (Elphick et al., 2012). Treatments for the control of seizures and bipolar disorder studied in D. discoideum include VPA (Frej et al., 2017), lithium (Frej et al., 2017) and medium fatty acid (such as decanoic acid)(Cunliffe et al., 2015), all of them act regulating phosphoinositides levels. Lithium and decanoic acid are also involved in DGKA and in InsP₃ reduction as seen for VPA (Cunliffe et al., 2015; Frej et al., 2017; Kelly et al., 2018).

Due to its activity as a regulator of cell growth, cell death and anti‐/pro‐oxidant, curcumin has been investigated in Dictyostelium as a treatment for Alzheimer, Parkinson, multiple sclerosis cardiovascular diseases, cancer, allergy, asthma, rheumatoid arthritism, diabetes and inflammation (Cocorocchio et al., 2018). D. discoideum has allowed to discover two curcumin targets, phosphatase 2A regulatory subunit (psrA) and presenilin‐1 (PsenB). Both proteins are conserved in human, PP2A and PS1 respectively. The orthologue for the phosphatase 2A regulatory subunit is the subunit B56 of the PP2A protein, involved in many functions such as cell proliferation, signal transduction, apoptosis and related with some cancers (Cho and Xu, 2007). Presenilin‐1 human orthologue (PS1) is involved in the APP cleavage and it has a key role in the develop of Alzheimer’s disease (Cocorocchio et al., 2018). Curcumin acts maintaining PP2A subunit B, leading to Tau dephosphorylation and GSK3β inhibition leading to growth arrest in some cancers (Cocorocchio et al., 2018).

Dictyostelium did not respond to salty, sour, umami or sweet tasting compounds; however, cells rapidly responded to bitter tastants (Cocorocchio et al., 2016). Tastants are taste‐provoking chemical molecules that are dissolved in ingested liquids or saliva to stimulate the sense of taste. Dictyostelium showed varying responses to the bitter tastants, providing a suitable model for early prediction of bitterness for novel tastants and drugs (Cocorocchio et al., 2016). For instance, a novel human receptor involved in bitter tastant detection was identified using Dictyostelium discoideum (Robery et al., 2013). Dictyostelium is a good model to study the bitter tastant and could replace the actual model which is the rat in vivo brief access taste aversion (BATA). Other approaches include the study of naringenin and aminobisphosphonates (Misty et al., 2006; Grove et al., 2010; Waheed et al., 2014). The action of naringenin, a dietary flavonoid with antiproliferative and chemopreventive actions of carcinogenesis, was investigated as a potential new therapeutic agent in autosomal dominant polycystic kidney disease (Waheed et al., 2014). On the other hand, Dictyostelium allowed to identify the enzyme farnesyl diphosphate synthase (FDP) as the target of aminobisphosphonate bone resorption inhibitors in mammalian osteoclasts (Sugden et al., 2005).

Conclusions and perspectives

D. discoideum represents a good model to study different pathologies with high incidence in human health. So far, D. discoideum has proven to be a suitable model for the study of neurological diseases including but not limited to Alzheimer, epilepsy, bipolar disease, NCL and Huntington. Indeed, D. discoideum was used as an advantageous model for pharmacogenetic research in both epilepsy and bipolar disease. Besides, D. discoideum was used as a research model in major findings related with other pathologies including Wiskott–Aldrich and Shwachman–Diamond syndromes, in autophagy and mitochondrial syndromes, neurodegenerative diseases and cancer. D. discoideum can be infected by Legionella (and many other pathogens) and this information provided insight into the proteins involved in the process in order to eventually understand better how to fight these human pathogens. D. discoideum also has de ability to chemotax, like human leucocytes or tumour cells, and that is why it has been chosen as the key model organism for the study of eukaryotic chemotaxis. D. discoideum is an exceptional model organism to study a wide range of neurological disorders, many of them characterized by altered mitochondrial dynamics, structure and/or function, proven D. discoideum as a mitochondrial disease system. Thanks to D. discoideum it was possible to identify and study proteins involved in those neurological disorders, in part because D. discoideum cells do not exhibit variation in symptoms, thus simplifying the study on mitochondrial diseases. Studied proteins related to the aforementioned diseases are involved in actin cytoskeleton, endocytosis, transport, metabolism and signalling pathways including but not limited to RAS and Notch (Fig. 4). The analysis of the biological function of the proteins studied in D. discoideum, based on their human orthologues, evidences the cellular mechanisms that can be targeted using this model organism (Fig. 4). A total of 27 D. discoideum proteins are related to infection by bacterial pathogens and correspond mainly to cellular adhesion to substrate and component assembly, actin‐related mechanisms and vesicle transport and phagocytosis. From the 28 D. discoideum proteins related to directed migration of immune cells, most are involved in processes of signal transduction including small GTPase mediation, protein phosphorylation and actin cytoskeleton organization. In neurological disorders, up to 33 D. discoideum proteins are related to the Notch and ephrin receptors, amyloid precursor metabolism, processing and proteolysis of proteins and autophagy. In autophagy and phagocytosis, with 60 D. discoideum proteins, the main related processes include but are not limited to vacuolar, endosomal and multivesicular management, organelle and vesicle assembly, and membrane budding. Related to mitochondrial syndromes, the studied 37 D. discoideum proteins are implicated in the respiratory chain, ATP synthesis and NADH enzymatic reactions. Finally, pharmacological treatment studies have been done with 45 D. discoideum proteins that tackle both single and multicellular processes with a focus on transport and localization, anion transport and biological quality. Further information on the biological processes and the associated proteins can be found in Table S6. Many of these discoveries need to be done in mammalian cell lines, thus enabling to corroborate the results obtained. The use of Dictyostelium addresses the development of the principles of the 3Rs in research (replacement, refinement and reduction), to reduce the reliance on the use of animal tissue and whole‐animal experiments (Otto et al., 2016), which might lead to an increasing number of studies using this social amoeba as a biomedical model in the upcoming years.

Fig. 4.

Fig. 4

Biological implications of Dictyostelium discoideum proteins according to the different fields reported in this review. The six most significant GO terms for biological processes (by P‐value, and avoiding redundancy) are represented based on their functional annotation of human Uniprot IDs with DAVID 6.7 (Huang et al., 2009, 2009,2009, 2009). Numbers indicate the proteins associated with each biological function. For further detailed information, please refer to Table S6.

Conflict of interest

The authors declare no conflict of interest.

Supporting information

Table S1. Dictyostelium proteins involved in Legionella pneumophila infection.

Table S2. Dictyostelium proteins involved in directed cell migration.

Table S3. Dictyostelium proteins involved in neurological disorders.

Table S4. Dictyostelium proteins involved in autophagy/phagocytosis.

Table S5. Dictyostelium proteins involved in mitochondrial syndromes.

Table S6. GO Term analysis for biological processes associated to the proteins studied in Dictyostelium.

Acknowledgements

The authors acknowledge the AGI (Agencia de Gestión de la Investigación) of Salamanca University for their support in Open Access publishing fund paying article processing charges.

Microbial Biotechnology (2021) 14(1), 111–125

Funding information

No funding information provided.

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Associated Data

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

Supplementary Materials

Table S1. Dictyostelium proteins involved in Legionella pneumophila infection.

Table S2. Dictyostelium proteins involved in directed cell migration.

Table S3. Dictyostelium proteins involved in neurological disorders.

Table S4. Dictyostelium proteins involved in autophagy/phagocytosis.

Table S5. Dictyostelium proteins involved in mitochondrial syndromes.

Table S6. GO Term analysis for biological processes associated to the proteins studied in Dictyostelium.


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