1
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Nesta DJ, Ledón-Rettig CC. Cryptic genetic variation in brain gene expression precedes the evolution of cannibalism in spadefoot toad tadpoles. Proc Natl Acad Sci U S A 2025; 122:e2418431122. [PMID: 40294283 DOI: 10.1073/pnas.2418431122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 03/10/2025] [Indexed: 04/30/2025] Open
Abstract
The origins of novel behaviors are poorly understood, despite behavior's hypothesized roles in evolution. One model, "genetic accommodation," proposes that selection on ancestral phenotypic plasticity may precede the evolution of novel traits. A critical assumption of genetic accommodation is that ancestral lineages possess heritable genetic variation for trait plasticity that is revealed in novel environments, thereby providing the raw materials for subsequent refinement of the novel trait in derived lineages. Here, we use a combination of behavioral and RNA-seq approaches to test this assumption in the context of a novel tadpole behavior: predatory cannibalism. Cannibalism evolved in the spadefoot genus Spea, where an invertebrate diet induces a carnivorous tadpole morph capable of consuming live conspecific tadpoles. In contrast, closely related Scaphiopus tadpoles do not induce this carnivorous phenotype. Through species comparisons, we found that ancestral Spea likely expressed behavioral plasticity and harbored latent (i.e., "cryptic") genetic variation in brain gene expression plasticity associated with cannibalism-inducing cues. Further, we found that this cryptic genetic variation includes genes specifically associated with a dietary response and cannibalism in derived Spea. Our results suggest that novel behaviors, alongside novel morphologies, can evolve via the process of genetic accommodation. More generally, our results provide key evidence for the plausibility of genetic accommodation, revealing that cryptic genetic variation-the raw material for the evolution of novel traits-exists in natural populations at the level of gene expression.
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Affiliation(s)
- Dante J Nesta
- Department of Biology, Indiana University, Bloomington, IN 47405
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2
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Peng T, Chen Z, Cash Ahmed AC, Feng Q, Yeo S, Han HS, Robinson GE. Social evolution and absence of olfactory function in larval honey bees. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.31.646396. [PMID: 40236076 PMCID: PMC11996492 DOI: 10.1101/2025.03.31.646396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/17/2025]
Abstract
Social evolution made larval honey bees dependent on adult colony members for feeding. We therefore predicted they have diminished olfactory capabilities, and based on organismal resource conservation theory, also have downregulated olfactory receptor (OR) gene expression. Behavioral assays demonstrated that larvae cannot find food via olfaction and expressed very low levels of Orco , an essential gene for OR function. By contrast, larvae showed higher expression of Ir25a, an essential gene for multiple forms of sensory perception including gustation. These results suggest larvae rely on taste for feeding. In addition, considering that adult bees use OR-based olfaction extensively, they demonstrate strong developmental regulation of the OR system. Comparative transcriptomics of social and non-social insects further highlight the role of social evolution in shaping this sensory trait.
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3
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Lebedev E, Smutin D, Timkin P, Kotelnikov D, Taldaev A, Panushev N, Adonin L. The eusocial non-code: Unveiling the impact of noncoding RNAs on Hymenoptera eusocial evolution. Noncoding RNA Res 2025; 11:48-59. [PMID: 39736856 PMCID: PMC11683303 DOI: 10.1016/j.ncrna.2024.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 10/14/2024] [Accepted: 10/27/2024] [Indexed: 01/01/2025] Open
Abstract
Eusociality, characterized by reproductive division of labor, cooperative brood care, and multi-generational cohabitation, represents a pinnacle of complex social evolution, most notably manifested within the Hymenoptera order including bees, ants, and wasps. The molecular underpinnings underlying these sophisticated social structures remain an enigma, with noncoding RNAs (ncRNAs) emerging as crucial regulatory players. This article delves into the roles of ncRNAs in exerting epigenetic control during the development and maintenance of Hymenopteran eusociality. We consolidate current findings on various classes of ncRNAs, underscoring their influence on gene expression regulation pertinent to caste differentiation, developmental plasticity, and behavioral modulation. Evidence is explored supporting the hypothesis that ncRNAs contribute to epigenetic landscapes fostering eusocial traits through genomic regulation. They are likely to play an important role in eusociality "point of no return". Critical analysis is provided on the functional insights garnered from ncRNA profiles correlated with caste-specific phenotypes, specifical for phylogenetic branches and transitional sociality models, drawing from comparative genomics and transcriptomics studies. Overall, ncRNA provides a missed understanding of both "genetic toolkit" and "unique genes" hypotheses of eusociality development. Moreover, it points to gaps in current knowledge, advocating for integrative approaches combining genomics, proteomics, and epigenetics to decipher the complexity of eusociality. Understanding the ncRNA contributions offers not only a window into the molecular intricacies of Hymenoptera sociality but also extends our comprehension of how complex biological systems evolve and function.
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Affiliation(s)
- Egor Lebedev
- Institute of Environmental and Agricultural Biology (X-BIO), Tyumen State University, 625003, Tyumen, Russia
| | - Daniil Smutin
- Faculty of Information Technology and Programming, ITMO University, St.-Petersburg, 197101, Russia
| | - Pavel Timkin
- All-russian Research Institute of Soybean, 675027, Blagoveschensk, Russia
| | - Danil Kotelnikov
- All-russian Research Institute of Soybean, 675027, Blagoveschensk, Russia
- Institute of Biomedical Chemistry, Moscow, 119121, Russia
| | - Amir Taldaev
- Institute of Biomedical Chemistry, Moscow, 119121, Russia
- Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia
| | - Nick Panushev
- Bioinformatics Institute, 197342, St.-Petersburg, Russia
| | - Leonid Adonin
- Institute of Environmental and Agricultural Biology (X-BIO), Tyumen State University, 625003, Tyumen, Russia
- Institute of Biomedical Chemistry, Moscow, 119121, Russia
- Federal State Budget-Financed Educational Institution of Higher Education The Bonch-Bruevich Saint Petersburg State University of Telecommunications, Saint-Petersburg, 193232, Russia
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4
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Chakraborty A, Sgrò CM, Mirth CK. Untangling plastic responses to combined thermal and dietary stress in insects. CURRENT OPINION IN INSECT SCIENCE 2025; 68:101328. [PMID: 39743206 DOI: 10.1016/j.cois.2024.101328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/27/2024] [Accepted: 12/11/2024] [Indexed: 01/04/2025]
Abstract
Animals are exposed to changes in their environmental conditions daily. Such changes will become increasingly more erratic and unpredictable with ongoing climate change. Responses to changing environments are influenced by the genetic architecture of the traits under selection and modified by a range of physiological, developmental, and behavioural changes resulting from phenotypic plasticity. Furthermore, the interactions between multiple environmental stressors to which organisms are exposed can generate unexpected phenotypic responses. Understanding how genetic and plastic variation contributes to the response to combined environmental stress will be key to predicting how animals will cope with climate change and ultimately will define their ability to persist. Here, we review the approaches used to explore how animals respond to combined stressors, specifically nutrition and temperature, the physiological mechanisms that underlie such plastic responses, and how genetic variation alters this plasticity.
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Affiliation(s)
- Avishikta Chakraborty
- University College London, London, United Kingdom; Monash University, Clayton, Melbourne, Australia
| | - Carla M Sgrò
- Monash University, Clayton, Melbourne, Australia
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5
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Brenman-Suttner DB, Rehan SM, Zayed A. Exploring the genetics of social behaviour in C. calcarata. Sci Rep 2025; 15:5580. [PMID: 39955334 PMCID: PMC11830030 DOI: 10.1038/s41598-025-89870-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 02/10/2025] [Indexed: 02/17/2025] Open
Abstract
Studies investigating social evolution often focus on species that are obligately eusocial, where presumably all of the adaptive genetic changes associated with sociality have already been completed. To fully understand eusociality, we must study species with facultative social behaviour. The small carpenter bee Ceratina calcarata is an ideal model for studying the genetics and molecular biology of eusocial evolution as it can exhibit both subsocial behaviour with parental care and social behaviour facilitated by the altruistic dwarf eldest daughter. Here, we sequenced the genomes of subsocial and social C. calcarata to identify mutations and genes associated with social behaviour and used these data to test several hypotheses related to the evolution of eusociality. Many single nucleotide polymorphisms that had high levels of genetic differentiation (Fst) between social and subsocial C. calcarata were in or near genes or regions important for regulating gene expression. These results are consistent with the Genetic Toolkit Hypothesis of eusocial evolution. Our findings suggest that the low behavioural complexity observed in C. calcarata may involve modulation of existing regulatory genes and gene networks to generate phenotypes associated with social behaviour.
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Affiliation(s)
| | - Sandra M Rehan
- Department of Biology, York University, Toronto, ON, Canada
| | - Amro Zayed
- Department of Biology, York University, Toronto, ON, Canada.
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6
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Rajakumar A, Pontieri L, Li R, Larsen RS, Vásquez-Correa A, Frandsen JKL, Rafiqi AM, Zhang G, Abouheif E. From Egg to Adult: A Developmental Table of the Ant Monomorium pharaonis. JOURNAL OF EXPERIMENTAL ZOOLOGY. PART B, MOLECULAR AND DEVELOPMENTAL EVOLUTION 2024; 342:557-585. [PMID: 39584621 DOI: 10.1002/jez.b.23278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 10/08/2024] [Indexed: 11/26/2024]
Abstract
Ants are one of the most ecologically and evolutionarily successful groups of animals and exhibit a remarkable degree of phenotypic diversity. This success is largely attributed to the fact that all ants are eusocial and live in colonies with a reproductive division of labor between morphologically distinct queen and worker castes. Yet, despite over a century of studies on caste determination and evolution in ants, we lack a complete ontogenetic series from egg to adult for any ant species. We, therefore, present a developmental table for the Pharaoh ant Monomorium pharaonis, a species whose colonies simultaneously produce reproductive queens and completely sterile workers. In total, M. pharaonis embryonic, larval, and pupal development lasts 45 days. During embryogenesis, the majority of developmental events are conserved between M. pharaonis and the fruit fly Drosophila melanogaster. We discovered, however, two types of same-stage embryos before gastrulation: (1) embryos with internalized germ cells; and (2) embryos with germ cells outside of the blastoderm at the posterior pole. Moreover, we also found two-types of embryos following germ band extension: (1) embryos with primordial germ cells that will develop into reproductive queens; and (2) embryos with no germ cells that will develop into completely sterile workers. Together, these data show that queen and worker castes are already determined and differentiated by early embryogenesis. During larval development, we confirmed that reproductive and worker larvae proceed through three larval instars. Using anatomical and developmental markers, we can further discern the development of gyne (unmated queen) larvae, male larvae, and worker larvae as early as the 1st instar. Overall, we hope that the ontogenetic series we present here will serve as a blueprint for the generation of future ant developmental tables.
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Affiliation(s)
- Arjuna Rajakumar
- Department of Biology, McGill University, Montreal, Quebec, Canada
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts, USA
| | - Luigi Pontieri
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ruyan Li
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Stenbak Larsen
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Johanne K L Frandsen
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ab Matteen Rafiqi
- Beykoz Institute of Life Science and Biotechnology, Bezmialem Vakif University, Beykoz, Istanbul, Turkey
| | - Guojie Zhang
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Centre for Evolutionary and Organismal Biology, and Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ehab Abouheif
- Department of Biology, McGill University, Montreal, Quebec, Canada
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7
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Kocher S, Kingwell C. The Molecular Substrates of Insect Eusociality. Annu Rev Genet 2024; 58:273-295. [PMID: 39146360 PMCID: PMC11588544 DOI: 10.1146/annurev-genet-111523-102510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
The evolution of eusociality in Hymenoptera-encompassing bees, ants, and wasps-is characterized by multiple gains and losses of social living, making this group a prime model to understand the mechanisms that underlie social behavior and social complexity. Our review synthesizes insights into the evolutionary history and molecular basis of eusociality. We examine new evidence for key evolutionary hypotheses and molecular pathways that regulate social behaviors, highlighting convergent evolution on a shared molecular toolkit that includes the insulin/insulin-like growth factor signaling (IIS) and target of rapamycin (TOR) pathways, juvenile hormone and ecdysteroid signaling, and epigenetic regulation. We emphasize how the crosstalk among these nutrient-sensing and endocrine signaling pathways enables social insects to integrate external environmental stimuli, including social cues, with internal physiology and behavior. We argue that examining these pathways as an integrated regulatory circuit and exploring how the regulatory architecture of this circuit evolves alongside eusociality can open the door to understanding the origin of the complex life histories and behaviors of this group.
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Affiliation(s)
- Sarah Kocher
- Department of Ecology and Evolutionary Biology, Lewis-Sigler Institute for Integrative Biology, and Howard Hughes Medical Institute, Princeton University, Princeton, New Jersey, USA;
| | - Callum Kingwell
- Smithsonian Tropical Research Institute, Ancon, Panama
- Department of Ecology and Evolutionary Biology, Lewis-Sigler Institute for Integrative Biology, and Howard Hughes Medical Institute, Princeton University, Princeton, New Jersey, USA;
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8
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Jones BM, Webb AE, Geib SM, Sim S, Schweizer RM, Branstetter MG, Evans JD, Kocher SD. Repeated Shifts in Sociality Are Associated With Fine-tuning of Highly Conserved and Lineage-Specific Enhancers in a Socially Flexible Bee. Mol Biol Evol 2024; 41:msae229. [PMID: 39487572 PMCID: PMC11568387 DOI: 10.1093/molbev/msae229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Revised: 10/21/2024] [Accepted: 10/28/2024] [Indexed: 11/04/2024] Open
Abstract
Comparative genomic studies of social insects suggest that changes in gene regulation are associated with evolutionary transitions in social behavior, but the activity of predicted regulatory regions has not been tested empirically. We used self-transcribing active regulatory region sequencing, a high-throughput enhancer discovery tool, to identify and measure the activity of enhancers in the socially variable sweat bee, Lasioglossum albipes. We identified over 36,000 enhancers in the L. albipes genome from 3 social and 3 solitary populations. Many enhancers were identified in only a subset of L. albipes populations, revealing rapid divergence in regulatory regions within this species. Population-specific enhancers were often proximal to the same genes across populations, suggesting compensatory gains and losses of regulatory regions may preserve gene activity. We also identified 1,182 enhancers with significant differences in activity between social and solitary populations, some of which are conserved regulatory regions across species of bees. These results indicate that social trait variation in L. albipes is associated with the fine-tuning of ancient enhancers as well as lineage-specific regulatory changes. Combining enhancer activity with population genetic data revealed variants associated with differences in enhancer activity and identified a subset of differential enhancers with signatures of selection associated with social behavior. Together, these results provide the first empirical map of enhancers in a socially flexible bee and highlight links between cis-regulatory variation and the evolution of social behavior.
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Affiliation(s)
- Beryl M Jones
- Department of Ecology and Evolutionary Biology, Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Department of Entomology, University of Kentucky, Lexington, KY 40508, USA
| | - Andrew E Webb
- Department of Ecology and Evolutionary Biology, Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Scott M Geib
- U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Tropical Pest Genetics and Molecular Biology Research Unit, Hilo, HI 96720, USA
| | - Sheina Sim
- U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Tropical Pest Genetics and Molecular Biology Research Unit, Hilo, HI 96720, USA
| | - Rena M Schweizer
- U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Pollinating Insects Research Unit, Utah State University, Logan, UT 84322, USA
- Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA
| | - Michael G Branstetter
- U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Pollinating Insects Research Unit, Utah State University, Logan, UT 84322, USA
| | - Jay D Evans
- U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Bee Research Laboratory BARC-E, Beltsville, MD 20705, USA
| | - Sarah D Kocher
- Department of Ecology and Evolutionary Biology, Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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9
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Brenman-Suttner D, Zayed A. An integrative genomic toolkit for studying the genetic, evolutionary, and molecular underpinnings of eusociality in insects. CURRENT OPINION IN INSECT SCIENCE 2024; 65:101231. [PMID: 38977215 DOI: 10.1016/j.cois.2024.101231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 06/26/2024] [Accepted: 07/02/2024] [Indexed: 07/10/2024]
Abstract
While genomic resources for social insects have vastly increased over the past two decades, we are still far from understanding the genetic and molecular basis of eusociality. Here, we briefly review three scientific advancements that, when integrated, can be highly synergistic for advancing our knowledge of the genetics and evolution of eusocial traits. Population genomics provides a natural way to quantify the strength of natural selection on coding and regulatory sequences, highlighting genes that have undergone adaptive evolution during the evolution or maintenance of eusociality. Genome-wide association studies (GWAS) can be used to characterize the complex genetic architecture underlying eusocial traits and identify candidate causal variants. Concurrently, CRISPR/Cas9 enables the precise manipulation of gene function to both validate genotype-phenotype associations and study the molecular biology underlying interesting traits. While each approach has its own advantages and disadvantages, which we discuss herein, we argue that their combination will ultimately help us better understand the genetics and evolution of eusocial behavior. Specifically, by triangulating across these three different approaches, researchers can directly identify and study loci that have a causal association with key phenotypes and have evidence of positive selection over the relevant timescales associated with the evolution and maintenance of eusociality in insects.
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Affiliation(s)
| | - Amro Zayed
- Department of Biology, York University, Toronto, Ontario, Canada.
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10
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Pyenson BC, Rehan SM. Gene regulation supporting sociality shared across lineages and variation in complexity. Genome 2024; 67:99-108. [PMID: 38096504 DOI: 10.1139/gen-2023-0054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
Across evolutionary lineages, insects vary in social complexity, from those that exhibit extended parental care to those with elaborate divisions of labor. Here, we synthesize the sociogenomic resources from hundreds of species to describe common gene regulatory mechanisms in insects that regulate social organization across phylogeny and levels of social complexity. Different social phenotypes expressed by insects can be linked to the organization of co-expressing gene networks and features of the epigenetic landscape. Insect sociality also stems from processes like the emergence of parental care and the decoupling of ancestral genetic programs. One underexplored avenue is how variation in a group's social environment affects the gene expression of individuals. Additionally, an experimental reduction of gene expression would demonstrate how the activity of specific genes contributes to insect social phenotypes. While tissue specificity provides greater localization of the gene expression underlying social complexity, emerging transcriptomic analysis of insect brains at the cellular level provides even greater resolution to understand the molecular basis of social insect evolution.
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Affiliation(s)
| | - Sandra M Rehan
- Department of Biology, York University, Toronto, ON M3J 1P3, Canada
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11
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Bossert S, Pauly A, Danforth BN, Orr MC, Murray EA. Lessons from assembling UCEs: A comparison of common methods and the case of Clavinomia (Halictidae). Mol Ecol Resour 2024; 24:e13925. [PMID: 38183389 DOI: 10.1111/1755-0998.13925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 12/08/2023] [Accepted: 12/21/2023] [Indexed: 01/08/2024]
Abstract
Sequence data assembly is a foundational step in high-throughput sequencing, with untold consequences for downstream analyses. Despite this, few studies have interrogated the many methods for assembling phylogenomic UCE data for their comparative efficacy, or for how outputs may be impacted. We study this by comparing the most commonly used assembly methods for UCEs in the under-studied bee lineage Nomiinae and a representative sampling of relatives. Data for 63 UCE-only and 75 mixed taxa were assembled with five methods, including ABySS, HybPiper, SPAdes, Trinity and Velvet, and then benchmarked for their relative performance in terms of locus capture parameters and phylogenetic reconstruction. Unexpectedly, Trinity and Velvet trailed the other methods in terms of locus capture and DNA matrix density, whereas SPAdes performed favourably in most assessed metrics. In comparison with SPAdes, the guided-assembly approach HybPiper generally recovered the highest quality loci but in lower numbers. Based on our results, we formally move Clavinomia to Dieunomiini and render Epinomia once more a subgenus of Dieunomia. We strongly advise that future studies more closely examine the influence of assembly approach on their results, or, minimally, use better-performing assembly methods such as SPAdes or HybPiper. In this way, we can move forward with phylogenomic studies in a more standardized, comparable manner.
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Affiliation(s)
- Silas Bossert
- Department of Entomology, Washington State University, Pullman, Washington, USA
- Department of Entomology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Alain Pauly
- Royal Belgian Institute of Natural Sciences, O.D. Taxonomy and Phylogeny, Brussels, Belgium
| | - Bryan N Danforth
- Department of Entomology, Cornell University, Ithaca, New York, USA
| | - Michael C Orr
- Entomologie, Staatliches Museum für Naturkunde Stuttgart, Stuttgart, Germany
| | - Elizabeth A Murray
- Department of Entomology, Washington State University, Pullman, Washington, USA
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12
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Fay CR, Toth AL. Is the genetic architecture of behavior exceptionally complex? CURRENT OPINION IN INSECT SCIENCE 2024; 62:101167. [PMID: 38280455 DOI: 10.1016/j.cois.2024.101167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 12/15/2023] [Accepted: 01/19/2024] [Indexed: 01/29/2024]
Abstract
Are traits with high levels of plasticity more complex in their genetic architecture, as they can be modulated by numerous different environmental inputs? Many authors have assumed that behavioral traits, in part because they are highly plastic, have an exceptionally complex genetic basis. We quantitatively summarized data from 31 genome-wide association studies (GWAS) and 87 traits in Drosophila melanogaster and found no evidence that behavioral traits have fundamental differences in the number of single-nucleotide polymorphisms or the significance or effect size of those associations, compared with nonbehavioral (morphological or physiological) traits. We suggest the assertion that behavioral traits are inherently more complex on a genetic basis compared with other types of traits should not be assumed true, and merits further investigation.
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Affiliation(s)
- Cameron R Fay
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50014, USA
| | - Amy L Toth
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50014, USA.
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13
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Sankar K, Lee KY, Kwak KW, Lee SJ, Lee YB. Seasonal Stability Assessment of Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Normalization in Bombus terrestris. Curr Issues Mol Biol 2024; 46:1335-1347. [PMID: 38392203 PMCID: PMC10887669 DOI: 10.3390/cimb46020085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/27/2024] [Accepted: 02/01/2024] [Indexed: 02/24/2024] Open
Abstract
Bumblebees (B. terrestris) play a crucial role as highly efficient biological agents in commercial pollination. Understanding the molecular mechanisms governing their adaptation to diverse seasonal environments may pave the way for effective management strategies in the future. With the burgeoning advancement in post-genetic studies focusing on B. terrestris, there is a critical need to normalize quantitative real-time PCR (qRT-PCR) data using suitable reference genes. To address this necessity, we employed RefFinder, a software-based tool, to assess the suitability of several candidate endogenous control genes, including actin (ACT), arginine kinase (AK), elongation factor 1 alpha (EF1), glyceraldehyde-3-phosphate (GAPDH), phospholipase (PLA2), and ribosomal proteins (S18, S28). These genes were evaluated for their efficacy as biological endogenous controls by examining their expression patterns across various environmental conditions corresponding to different seasons (Spring, Summer, Autumn, Winter) and tissues (ovary, fat body, thorax, head) in bumblebees. Moreover, the study investigated the significance of selecting appropriate reference genes for three key genes involved in the juvenile hormone (JH) signaling pathways: Krüppel homolog 1 (Kr-h1), methyl farnesoate epoxidase (MFE), and Vitellogenin (Vg). Our research identifies specific genes suitable for normalization in B. terrestris, thereby offering valuable insights into gene expression and functional metabolic genetics under varying seasonal conditions. This catalog of reference genes will serve as a valuable resource for future research endeavors.
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Affiliation(s)
- Kathannan Sankar
- Agricultural Biology Department, National Institute of Agricultural Science, Rural Development Administration, Wanju 55365, Republic of Korea
- Division of Animal Diseases & Health, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Kyeong-Yong Lee
- Agricultural Biology Department, National Institute of Agricultural Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Kyu-Won Kwak
- Agricultural Biology Department, National Institute of Agricultural Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Su-Jin Lee
- Agricultural Biology Department, National Institute of Agricultural Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Young-Bo Lee
- Agricultural Biology Department, National Institute of Agricultural Science, Rural Development Administration, Wanju 55365, Republic of Korea
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14
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Taylor BA, Taylor D, Bodrug‐Schepers A, Câmara Ferreira F, Stralis‐Pavese N, Himmelbauer H, Guigó R, Reuter M, Sumner S. Molecular signatures of alternative reproductive strategies in a facultatively social hover wasp. Mol Ecol 2024; 33:e17217. [PMID: 38014715 PMCID: PMC10953455 DOI: 10.1111/mec.17217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/29/2023]
Abstract
Social insect reproductives and non-reproductives represent ideal models with which to understand the expression and regulation of alternative phenotypes. Most research in this area has focused on the developmental regulation of reproductive phenotypes in obligately social taxa such as honey bees, while relatively few studies have addressed the molecular correlates of reproductive differentiation in species in which the division of reproductive labour is established only in plastic dominance hierarchies. To address this knowledge gap, we generate the first genome for any stenogastrine wasp and analyse brain transcriptomic data for non-reproductives and reproductives of the facultatively social species Liostenogaster flavolineata, a representative of one of the simplest forms of social living. By experimentally manipulating the reproductive 'queues' exhibited by social colonies of this species, we show that reproductive division of labour in this species is associated with transcriptomic signatures that are more subtle and variable than those observed in social taxa in which colony living has become obligate; that variation in gene expression among non-reproductives reflects their investment into foraging effort more than their social rank; and that genes associated with reproductive division of labour overlap to some extent with those underlying division of labour in the separate polistine origin of wasp sociality but only explain a small portion of overall variation in this trait. These results indicate that broad patterns of within-colony transcriptomic differentiation in this species are similar to those in Polistinae but offer little support for the existence of a strongly conserved 'toolkit' for sociality.
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Affiliation(s)
- Benjamin A. Taylor
- Centre for Biodiversity & Environment ResearchUniversity College LondonLondonUK
- Department of Genetics, Evolution & EnvironmentUniversity College LondonLondonUK
| | - Daisy Taylor
- School of Biological SciencesUniversity of BristolBristolUK
| | | | | | - Nancy Stralis‐Pavese
- Department of BiotechnologyUniversity of Natural Resources and Life SciencesViennaAustria
| | - Heinz Himmelbauer
- Department of BiotechnologyUniversity of Natural Resources and Life SciencesViennaAustria
| | - Roderic Guigó
- Centre for Genomic RegulationBarcelona Institute of Science and TechnologyBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
| | - Max Reuter
- Department of Genetics, Evolution & EnvironmentUniversity College LondonLondonUK
- Centre for Life's Origins and EvolutionUniversity College LondonLondonUK
| | - Seirian Sumner
- Centre for Biodiversity & Environment ResearchUniversity College LondonLondonUK
- Department of Genetics, Evolution & EnvironmentUniversity College LondonLondonUK
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15
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Koludarov I, Velasque M, Senoner T, Timm T, Greve C, Hamadou AB, Gupta DK, Lochnit G, Heinzinger M, Vilcinskas A, Gloag R, Harpur BA, Podsiadlowski L, Rost B, Jackson TNW, Dutertre S, Stolle E, von Reumont BM. Prevalent bee venom genes evolved before the aculeate stinger and eusociality. BMC Biol 2023; 21:229. [PMID: 37867198 PMCID: PMC10591384 DOI: 10.1186/s12915-023-01656-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 06/29/2023] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND Venoms, which have evolved numerous times in animals, are ideal models of convergent trait evolution. However, detailed genomic studies of toxin-encoding genes exist for only a few animal groups. The hyper-diverse hymenopteran insects are the most speciose venomous clade, but investigation of the origin of their venom genes has been largely neglected. RESULTS Utilizing a combination of genomic and proteo-transcriptomic data, we investigated the origin of 11 toxin genes in 29 published and 3 new hymenopteran genomes and compiled an up-to-date list of prevalent bee venom proteins. Observed patterns indicate that bee venom genes predominantly originate through single gene co-option with gene duplication contributing to subsequent diversification. CONCLUSIONS Most Hymenoptera venom genes are shared by all members of the clade and only melittin and the new venom protein family anthophilin1 appear unique to the bee lineage. Most venom proteins thus predate the mega-radiation of hymenopterans and the evolution of the aculeate stinger.
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Affiliation(s)
- Ivan Koludarov
- Justus Liebig University of Gießen, Institute for Insect Biotechnology, Heinrich-Buff-Ring 58, 35392, Giessen, Germany.
- Department of Informatics, Bioinformatics and Computational Biology, i12, Technical University of Munich, Boltzmannstr. 3, Garching, 85748, Munich, Germany.
| | - Mariana Velasque
- Genomics & Regulatory Systems Unit, Okinawa Institute of Science & Technology, Tancha, Okinawa, 1919, Japan
| | - Tobias Senoner
- Department of Informatics, Bioinformatics and Computational Biology, i12, Technical University of Munich, Boltzmannstr. 3, Garching, 85748, Munich, Germany
| | - Thomas Timm
- Protein Analytics, Institute of Biochemistry, Justus Liebig University, Friedrichstrasse 24, 35392, Giessen, Germany
| | - Carola Greve
- LOEWE Centre for Translational Biodiversity Genomics (TBG), Senckenberganlage 25, 60325, Frankfurt, Germany
| | - Alexander Ben Hamadou
- LOEWE Centre for Translational Biodiversity Genomics (TBG), Senckenberganlage 25, 60325, Frankfurt, Germany
| | - Deepak Kumar Gupta
- LOEWE Centre for Translational Biodiversity Genomics (TBG), Senckenberganlage 25, 60325, Frankfurt, Germany
| | - Günter Lochnit
- Protein Analytics, Institute of Biochemistry, Justus Liebig University, Friedrichstrasse 24, 35392, Giessen, Germany
| | - Michael Heinzinger
- Department of Informatics, Bioinformatics and Computational Biology, i12, Technical University of Munich, Boltzmannstr. 3, Garching, 85748, Munich, Germany
| | - Andreas Vilcinskas
- Justus Liebig University of Gießen, Institute for Insect Biotechnology, Heinrich-Buff-Ring 58, 35392, Giessen, Germany
- Fraunhofer Institute for Molecular Biology and Applied Ecology, Department of Bioresources, Ohlebergsweg 12, 35392, Giessen, Germany
| | - Rosalyn Gloag
- Rosalyn Gloag - School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Brock A Harpur
- Brock A. Harpur - Department of Entomology, Purdue University, 901 W. State Street, West Lafayette, IN, 47907, USA
| | - Lars Podsiadlowski
- Leibniz Institute for the Analysis of Biodiversity Change, Zoological Research Museum Alexander Koenig, Centre of Molecular Biodiversity Research, Adenauerallee 160, 53113, Bonn, Germany
| | - Burkhard Rost
- Department of Informatics, Bioinformatics and Computational Biology, i12, Technical University of Munich, Boltzmannstr. 3, Garching, 85748, Munich, Germany
| | - Timothy N W Jackson
- Australian Venom Research Unit, Department of Biochemistry and Pharmacology, University of Melbourne, Grattan Street, Parkville, Viktoria, 3010, Australia
| | | | - Eckart Stolle
- Leibniz Institute for the Analysis of Biodiversity Change, Zoological Research Museum Alexander Koenig, Centre of Molecular Biodiversity Research, Adenauerallee 160, 53113, Bonn, Germany
| | - Björn M von Reumont
- LOEWE Centre for Translational Biodiversity Genomics (TBG), Senckenberganlage 25, 60325, Frankfurt, Germany.
- Faculty of Biological Sciences, Group of Applied Bioinformatics, Goethe University Frankfurt, Max-Von-Laue Str. 13, 60438, Frankfurt, Germany.
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16
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Yoon KJ, Cunningham CB, Bretman A, Duncan EJ. One genome, multiple phenotypes: decoding the evolution and mechanisms of environmentally induced developmental plasticity in insects. Biochem Soc Trans 2023; 51:675-689. [PMID: 36929376 PMCID: PMC10246940 DOI: 10.1042/bst20210995] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/16/2023] [Accepted: 02/21/2023] [Indexed: 03/18/2023]
Abstract
Plasticity in developmental processes gives rise to remarkable environmentally induced phenotypes. Some of the most striking and well-studied examples of developmental plasticity are seen in insects. For example, beetle horn size responds to nutritional state, butterfly eyespots are enlarged in response to temperature and humidity, and environmental cues also give rise to the queen and worker castes of eusocial insects. These phenotypes arise from essentially identical genomes in response to an environmental cue during development. Developmental plasticity is taxonomically widespread, affects individual fitness, and may act as a rapid-response mechanism allowing individuals to adapt to changing environments. Despite the importance and prevalence of developmental plasticity, there remains scant mechanistic understanding of how it works or evolves. In this review, we use key examples to discuss what is known about developmental plasticity in insects and identify fundamental gaps in the current knowledge. We highlight the importance of working towards a fully integrated understanding of developmental plasticity in a diverse range of species. Furthermore, we advocate for the use of comparative studies in an evo-devo framework to address how developmental plasticity works and how it evolves.
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Affiliation(s)
- Kane J. Yoon
- School of Biology, Faculty of Biological Sciences, University of Leeds, LS2 9JT Leeds, U.K
| | | | - Amanda Bretman
- School of Biology, Faculty of Biological Sciences, University of Leeds, LS2 9JT Leeds, U.K
| | - Elizabeth J. Duncan
- School of Biology, Faculty of Biological Sciences, University of Leeds, LS2 9JT Leeds, U.K
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17
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Jones BM, Rubin BER, Dudchenko O, Kingwell CJ, Traniello IM, Wang ZY, Kapheim KM, Wyman ES, Adastra PA, Liu W, Parsons LR, Jackson SR, Goodwin K, Davidson SM, McBride MJ, Webb AE, Omufwoko KS, Van Dorp N, Otárola MF, Pham M, Omer AD, Weisz D, Schraiber J, Villanea F, Wcislo WT, Paxton RJ, Hunt BG, Aiden EL, Kocher SD. Convergent and complementary selection shaped gains and losses of eusociality in sweat bees. Nat Ecol Evol 2023; 7:557-569. [PMID: 36941345 PMCID: PMC11610481 DOI: 10.1038/s41559-023-02001-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/18/2023] [Indexed: 03/23/2023]
Abstract
Sweat bees have repeatedly gained and lost eusociality, a transition from individual to group reproduction. Here we generate chromosome-length genome assemblies for 17 species and identify genomic signatures of evolutionary trade-offs associated with transitions between social and solitary living. Both young genes and regulatory regions show enrichment for these molecular patterns. We also identify loci that show evidence of complementary signals of positive and relaxed selection linked specifically to the convergent gains and losses of eusociality in sweat bees. This includes two pleiotropic proteins that bind and transport juvenile hormone (JH)-a key regulator of insect development and reproduction. We find that one of these proteins is primarily expressed in subperineurial glial cells that form the insect blood-brain barrier and that brain levels of JH vary by sociality. Our findings are consistent with a role of JH in modulating social behaviour and suggest that eusocial evolution was facilitated by alteration of the proteins that bind and transport JH, revealing how an ancestral developmental hormone may have been co-opted during one of life's major transitions. More broadly, our results highlight how evolutionary trade-offs have structured the molecular basis of eusociality in these bees and demonstrate how both directional selection and release from constraint can shape trait evolution.
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Affiliation(s)
- Beryl M Jones
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Benjamin E R Rubin
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Callum J Kingwell
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Ian M Traniello
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Z Yan Wang
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Karen M Kapheim
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biology, Utah State University, Logan, UT, USA
| | - Eli S Wyman
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Per A Adastra
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Weijie Liu
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Lance R Parsons
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - S RaElle Jackson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Katharine Goodwin
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Shawn M Davidson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Matthew J McBride
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Department of Chemistry, Princeton University, Princeton, NJ, USA
| | - Andrew E Webb
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Kennedy S Omufwoko
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Nikki Van Dorp
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Mauricio Fernández Otárola
- Biodiversity and Tropical Ecology Research Center (CIBET) and School of Biology, University of Costa Rica, San José, Costa Rica
| | - Melanie Pham
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Arina D Omer
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - David Weisz
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Joshua Schraiber
- Department of Biology, Temple University, Philadelphia, PA, USA
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Fernando Villanea
- Department of Biology, Temple University, Philadelphia, PA, USA
- Department of Anthropology, University of Colorado Boulder, Boulder, CO, USA
| | - William T Wcislo
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Robert J Paxton
- Institute of Biology, Martin-Luther University Halle-Wittenberg, Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany
| | - Brendan G Hunt
- Department of Entomology, University of Georgia, Athens, GA, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Sarah D Kocher
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
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18
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Wyatt CDR, Bentley MA, Taylor D, Favreau E, Brock RE, Taylor BA, Bell E, Leadbeater E, Sumner S. Social complexity, life-history and lineage influence the molecular basis of castes in vespid wasps. Nat Commun 2023; 14:1046. [PMID: 36828829 PMCID: PMC9958023 DOI: 10.1038/s41467-023-36456-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/31/2023] [Indexed: 02/26/2023] Open
Abstract
A key mechanistic hypothesis for the evolution of division of labour in social insects is that a shared set of genes co-opted from a common solitary ancestral ground plan (a genetic toolkit for sociality) regulates caste differentiation across levels of social complexity. Using brain transcriptome data from nine species of vespid wasps, we test for overlap in differentially expressed caste genes and use machine learning models to predict castes using different gene sets. We find evidence of a shared genetic toolkit across species representing different levels of social complexity. We also find evidence of additional fine-scale differences in predictive gene sets, functional enrichment and rates of gene evolution that are related to level of social complexity, lineage and of colony founding. These results suggest that the concept of a shared genetic toolkit for sociality may be too simplistic to fully describe the process of the major transition to sociality.
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Affiliation(s)
- Christopher Douglas Robert Wyatt
- Centre for Biodiversity and Environment Research, Dept Genetics, Evolution & Environment, University College London, London, WC1E 6BT, UK.
| | - Michael Andrew Bentley
- Centre for Biodiversity and Environment Research, Dept Genetics, Evolution & Environment, University College London, London, WC1E 6BT, UK
| | - Daisy Taylor
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK
| | - Emeline Favreau
- Centre for Biodiversity and Environment Research, Dept Genetics, Evolution & Environment, University College London, London, WC1E 6BT, UK
| | - Ryan Edward Brock
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK
- Department of Crop Genetics, John Innes Centre, Norwich Research Park, Norwich, Norfolk, NR4 7UH, UK
| | - Benjamin Aaron Taylor
- Centre for Biodiversity and Environment Research, Dept Genetics, Evolution & Environment, University College London, London, WC1E 6BT, UK
| | - Emily Bell
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK
| | - Ellouise Leadbeater
- Department of Biological Sciences, Royal Holloway University of London, Egham, TW20 0EX, UK
| | - Seirian Sumner
- Centre for Biodiversity and Environment Research, Dept Genetics, Evolution & Environment, University College London, London, WC1E 6BT, UK.
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19
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Berger J, Legendre F, Zelosko KM, Harrison MC, Grandcolas P, Bornberg-Bauer E, Fouks B. Eusocial Transition in Blattodea: Transposable Elements and Shifts of Gene Expression. Genes (Basel) 2022; 13:1948. [PMID: 36360186 PMCID: PMC9689775 DOI: 10.3390/genes13111948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 11/07/2023] Open
Abstract
(1) Unravelling the molecular basis underlying major evolutionary transitions can shed light on how complex phenotypes arise. The evolution of eusociality, a major evolutionary transition, has been demonstrated to be accompanied by enhanced gene regulation. Numerous pieces of evidence suggest the major impact of transposon insertion on gene regulation and its role in adaptive evolution. Transposons have been shown to be play a role in gene duplication involved in the eusocial transition in termites. However, evidence of the molecular basis underlying the eusocial transition in Blattodea remains scarce. Could transposons have facilitated the eusocial transition in termites through shifts of gene expression? (2) Using available cockroach and termite genomes and transcriptomes, we investigated if transposons insert more frequently in genes with differential expression in queens and workers and if those genes could be linked to specific functions essential for eusocial transition. (3) The insertion rate of transposons differs among differentially expressed genes and displays opposite trends between termites and cockroaches. The functions of termite transposon-rich queen- and worker-biased genes are related to reproduction and ageing and behaviour and gene expression, respectively. (4) Our study provides further evidence on the role of transposons in the evolution of eusociality, potentially through shifts in gene expression.
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Affiliation(s)
- Juliette Berger
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, 75005 Paris, France
| | - Frédéric Legendre
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, 75005 Paris, France
| | - Kevin-Markus Zelosko
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
| | - Mark C. Harrison
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
| | - Philippe Grandcolas
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, 75005 Paris, France
| | - Erich Bornberg-Bauer
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
- Department of Protein Evolution, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
| | - Bertrand Fouks
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany
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20
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Ashra H, Nair S. Review: Trait plasticity during plant-insect interactions: From molecular mechanisms to impact on community dynamics. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2022; 317:111188. [PMID: 35193737 DOI: 10.1016/j.plantsci.2022.111188] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 01/12/2022] [Accepted: 01/14/2022] [Indexed: 06/14/2023]
Abstract
Phenotypic plasticity, prevalent in all domains of life, enables organisms to cope with unpredictable or novel changes in their growing environment. Plants represent an interesting example of phenotypic plasticity which also directly represents and affects the dynamics of biological interactions occurring in a community. Insects, which interact with plants, manifest phenotypic plasticity in their developmental, physiological, morphological or behavioral traits in response to the various host plant defenses induced upon herbivory. However, plant-insect interactions are generally more complex and multidimensional because of their dynamic association with their respective microbiomes and macrobiomes. Moreover, these associations can alter plant and insect responses towards each other by modulating the degree of phenotypic plasticity in their various traits and studying them will provide insights into how plants and insects reciprocally affect each other's evolutionary trajectory. Further, we explore the consequences of phenotypic plasticity on relationships and interactions between plants and insects and its impact on their development, evolution, speciation and ecological organization. This overview, obtained after exploring and comparing data obtained from several inter-disciplinary studies, reveals how genetic and molecular mechanisms, underlying plasticity in traits, impact species interactions at the community level and also identifies mechanisms that could be exploited in breeding programs.
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Affiliation(s)
- Himani Ashra
- Plant-Insect Interaction Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi 110 067, India
| | - Suresh Nair
- Plant-Insect Interaction Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi 110 067, India.
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21
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Shell WA, Rehan SM. Social divergence: molecular pathways underlying castes and longevity in a facultatively eusocial small carpenter bee. Proc Biol Sci 2022; 289:20212663. [PMID: 35317677 PMCID: PMC8941392 DOI: 10.1098/rspb.2021.2663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Unravelling the evolutionary origins of eusocial life is a longstanding endeavour in the field of evolutionary-developmental biology. Descended from solitary ancestors, eusocial insects such as honeybees have evolved ontogenetic division of labour in which short-lived workers perform age-associated tasks, while a long-lived queen produces brood. It is hypothesized that (i) eusocial caste systems evolved through the co-option of deeply conserved genes and (ii) longevity may be tied to oxidative damage mitigation capacity. To date, however, these hypotheses have been examined primarily among only obligately eusocial corbiculate bees. We present brain transcriptomic data from a Japanese small carpenter bee, Ceratina japonica (Apidae: Xylocopinae), which demonstrates both solitary and eusocial nesting in sympatry and lives 2 or more years in the wild. Our dataset captures gene expression patterns underlying first- and second-year solitary females, queens and workers, providing an unprecedented opportunity to explore the molecular mechanisms underlying caste-antecedent phenotypes in a long-lived and facultatively eusocial bee. We find that C. japonica's queens and workers are underpinned by divergent gene regulatory pathways, involving many differentially expressed genes well-conserved among other primitively eusocial bee lineages. We also find support for oxidative damage reduction as a proximate mechanism of longevity in C. japonica.
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Affiliation(s)
- Wyatt A. Shell
- Department of Biology, York University, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3
| | - Sandra M. Rehan
- Department of Biology, York University, 4700 Keele Street, Toronto, Ontario, Canada M3J 1P3
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22
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Walsh AT, Triant DA, Le Tourneau JJ, Shamimuzzaman M, Elsik CG. Hymenoptera Genome Database: new genomes and annotation datasets for improved go enrichment and orthologue analyses. Nucleic Acids Res 2021; 50:D1032-D1039. [PMID: 34747465 PMCID: PMC8728238 DOI: 10.1093/nar/gkab1018] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 01/02/2023] Open
Abstract
We report an update of the Hymenoptera Genome Database (HGD; http://HymenopteraGenome.org), a genomic database of hymenopteran insect species. The number of species represented in HGD has nearly tripled, with fifty-eight hymenopteran species, including twenty bees, twenty-three ants, eleven wasps and four sawflies. With a reorganized website, HGD continues to provide the HymenopteraMine genomic data mining warehouse and JBrowse/Apollo genome browsers integrated with BLAST. We have computed Gene Ontology (GO) annotations for all species, greatly enhancing the GO annotation data gathered from UniProt with more than a ten-fold increase in the number of GO-annotated genes. We have also generated orthology datasets that encompass all HGD species and provide orthologue clusters for fourteen taxonomic groups. The new GO annotation and orthology data are available for searching in HymenopteraMine, and as bulk file downloads.
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Affiliation(s)
- Amy T Walsh
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Deborah A Triant
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | | | - Md Shamimuzzaman
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Christine G Elsik
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.,Division of Plant Science & Technology, University of Missouri, Columbia, MO 65211, USA.,MU Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
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23
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Wcislo WT. A Dual Role for Behavior in Evolution and Shaping Organismal Selective Environments. ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS 2021. [DOI: 10.1146/annurev-ecolsys-012921-052523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The hypothesis that evolved behaviors play a determining role in facilitating and impeding the evolution of other traits has been discussed for more than 100 years with little consensus beyond an agreement that the ideas are theoretically plausible in accord with the Modern Synthesis. Many recent reviews of the genomic, epigenetic, and developmental mechanisms underpinning major behavioral transitions show how facultative expression of novel behaviors can lead to the evolution of obligate behaviors and structures that enhance behavioral function. Phylogenetic and genomic studies indicate that behavioral traits are generally evolutionarily more labile than other traits and that they help shape selective environments on the latter traits. Adaptive decision-making to encounter resources and avoid stress sources requires specific sensory inputs, which behaviorally shape selective environments by determining those features of the external world that are biologically relevant. These recent findings support the hypothesis of a dual role for behavior in evolution and are consistent with current evolutionary theory.
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Affiliation(s)
- William T. Wcislo
- Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama
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24
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Horn AJ, Carter CS. Love and longevity: A Social Dependency Hypothesis. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2021; 8:100088. [PMID: 35757670 PMCID: PMC9216627 DOI: 10.1016/j.cpnec.2021.100088] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 09/23/2021] [Accepted: 09/26/2021] [Indexed: 12/28/2022] Open
Abstract
Mammals, including humans, are reliant for survival and reproduction on adaptations associated with sociality and physiological investment, which can be linked to interactions with their parents or other bonded adult conspecifics. A wide range of evidence in human and non-human mammal species links social behaviors and relationships - including those characterized by what humans call "love" - to positive health and longevity. In light of this evidence, we propose a Social Dependency Hypothesis of Longevity, suggesting that natural selection has favored longer and healthier adult lives in species or in individuals exhibiting enhanced caregiver responsibilities contributing to the success of the next generation. In highlighting cellular, physiological, and behavioral effects of mammalian reproductive hormones, we examine the specific hypothesis that the neuropeptide oxytocin links longevity to the benefits of parental investment and associated relationships. Oxytocin is a pleiotropic molecule with anti-oxidant and anti-inflammatory properties, capable of regulating the hypothalamic-pituitary-adrenal axis, the parasympathetic nervous system and other systems associated with the management of various challenges, including chronic diseases and therefore may be crucial to establishing the maximum longevity potential of a species or an individual.
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Affiliation(s)
| | - C. Sue Carter
- University of Virginia and Indiana University, United States
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25
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Smallegange IM. Integrating developmental plasticity into eco-evolutionary population dynamics. Trends Ecol Evol 2021; 37:129-137. [PMID: 34635340 DOI: 10.1016/j.tree.2021.09.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/16/2021] [Accepted: 09/21/2021] [Indexed: 10/20/2022]
Abstract
There are increasing calls to incorporate developmental plasticity into the framework of eco-evolutionary dynamics. The current way is via genotype-specified reaction norms in which inheritance and phenotype expression are gene-based. I propose a developmental system perspective in which phenotypes are formed during individual development in a process comprising a complex set of interactions that involve genes, biochemistry, somatic state, and the (a)biotic environment, and where the developmental system is the unit of phenotype evolution. I explain how the two perspectives differ in assumptions and predictions, which can be contrasted using cue-and-response systems of anticipatory or mitigating developmental plasticity. This can lead to new ways of eco-evolutionary thinking, and deliver important explanations of how populations respond to environmental change through evolved developmental plasticity.
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Affiliation(s)
- Isabel M Smallegange
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, PO Box 94240, 1090, GE, Amsterdam, The Netherlands; School of Natural & Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
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26
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Fouks B, Brand P, Nguyen HN, Herman J, Camara F, Ence D, Hagen DE, Hoff KJ, Nachweide S, Romoth L, Walden KKO, Guigo R, Stanke M, Narzisi G, Yandell M, Robertson HM, Koeniger N, Chantawannakul P, Schatz MC, Worley KC, Robinson GE, Elsik CG, Rueppell O. The genomic basis of evolutionary differentiation among honey bees. Genome Res 2021; 31:1203-1215. [PMID: 33947700 PMCID: PMC8256857 DOI: 10.1101/gr.272310.120] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 04/22/2021] [Indexed: 02/06/2023]
Abstract
In contrast to the western honey bee, Apis mellifera, other honey bee species have been largely neglected despite their importance and diversity. The genetic basis of the evolutionary diversification of honey bees remains largely unknown. Here, we provide a genome-wide comparison of three honey bee species, each representing one of the three subgenera of honey bees, namely the dwarf (Apis florea), giant (A. dorsata), and cavity-nesting (A. mellifera) honey bees with bumblebees as an outgroup. Our analyses resolve the phylogeny of honey bees with the dwarf honey bees diverging first. We find that evolution of increased eusocial complexity in Apis proceeds via increases in the complexity of gene regulation, which is in agreement with previous studies. However, this process seems to be related to pathways other than transcriptional control. Positive selection patterns across Apis reveal a trade-off between maintaining genome stability and generating genetic diversity, with a rapidly evolving piRNA pathway leading to genomes depleted of transposable elements, and a rapidly evolving DNA repair pathway associated with high recombination rates in all Apis species. Diversification within Apis is accompanied by positive selection in several genes whose putative functions present candidate mechanisms for lineage-specific adaptations, such as migration, immunity, and nesting behavior.
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Affiliation(s)
- Bertrand Fouks
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, 48149 Münster, Germany
| | - Philipp Brand
- Department of Evolution and Ecology, Center for Population Biology, University of California, Davis, Davis, California 95161, USA
- Laboratory of Neurophysiology and Behavior, The Rockefeller University, New York, New York 10065, USA
| | - Hung N Nguyen
- MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA
| | - Jacob Herman
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
| | - Francisco Camara
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08036 Barcelona, Spain
| | - Daniel Ence
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
- Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - Katharina J Hoff
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
- University of Greifswald, Center for Functional Genomics of Microbes, 17489 Greifswald, Germany
| | - Stefanie Nachweide
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
| | - Lars Romoth
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
| | - Kimberly K O Walden
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Roderic Guigo
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Mario Stanke
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
- University of Greifswald, Center for Functional Genomics of Microbes, 17489 Greifswald, Germany
| | | | - Mark Yandell
- Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, Utah 84112, USA
| | - Hugh M Robertson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Nikolaus Koeniger
- Department of Behavioral Physiology and Sociobiology (Zoology II), University of Würzburg, 97074 Würzburg, Germany
| | - Panuwan Chantawannakul
- Environmental Science Research Center (ESRC) and Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Michael C Schatz
- Departments of Computer Science and Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Kim C Worley
- Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Gene E Robinson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Christine G Elsik
- MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA
- Division of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA
- Division of Plant Sciences, University of Missouri, Columbia, Missouri 65211, USA
| | - Olav Rueppell
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
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27
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Casasa S, Biddle JF, Koutsovoulos GD, Ragsdale EJ. Polyphenism of a Novel Trait Integrated Rapidly Evolving Genes into Ancestrally Plastic Networks. Mol Biol Evol 2021; 38:331-343. [PMID: 32931588 PMCID: PMC7826178 DOI: 10.1093/molbev/msaa235] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Developmental polyphenism, the ability to switch between phenotypes in response to environmental variation, involves the alternating activation of environmentally sensitive genes. Consequently, to understand how a polyphenic response evolves requires a comparative analysis of the components that make up environmentally sensitive networks. Here, we inferred coexpression networks for a morphological polyphenism, the feeding-structure dimorphism of the nematode Pristionchus pacificus. In this species, individuals produce alternative forms of a novel trait—moveable teeth, which in one morph enable predatory feeding—in response to environmental cues. To identify the origins of polyphenism network components, we independently inferred coexpression modules for more conserved transcriptional responses, including in an ancestrally nonpolyphenic nematode species. Further, through genome-wide analyses of these components across the nematode family (Diplogastridae) in which the polyphenism arose, we reconstructed how network components have changed. To achieve this, we assembled and resolved the phylogenetic context for five genomes of species representing the breadth of Diplogastridae and a hypothesized outgroup. We found that gene networks instructing alternative forms arose from ancestral plastic responses to environment, specifically starvation-induced metabolism and the formation of a conserved diapause (dauer) stage. Moreover, loci from rapidly evolving gene families were integrated into these networks with higher connectivity than throughout the rest of the P. pacificus transcriptome. In summary, we show that the modular regulatory outputs of a polyphenic response evolved through the integration of conserved plastic responses into networks with genes of high evolutionary turnover.
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Affiliation(s)
- Sofia Casasa
- Department of Biology, Indiana University, Bloomington, Bloomington, IN
| | - Joseph F Biddle
- Department of Biology, Indiana University, Bloomington, Bloomington, IN
| | | | - Erik J Ragsdale
- Department of Biology, Indiana University, Bloomington, Bloomington, IN
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28
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Chak STC, Harris SE, Hultgren KM, Jeffery NW, Rubenstein DR. Eusociality in snapping shrimps is associated with larger genomes and an accumulation of transposable elements. Proc Natl Acad Sci U S A 2021; 118:e2025051118. [PMID: 34099551 PMCID: PMC8214670 DOI: 10.1073/pnas.2025051118] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Despite progress uncovering the genomic underpinnings of sociality, much less is known about how social living affects the genome. In different insect lineages, for example, eusocial species show both positive and negative associations between genome size and structure, highlighting the dynamic nature of the genome. Here, we explore the relationship between sociality and genome architecture in Synalpheus snapping shrimps that exhibit multiple origins of eusociality and extreme interspecific variation in genome size. Our goal is to determine whether eusociality leads to an accumulation of repetitive elements and an increase in genome size, presumably due to reduced effective population sizes resulting from a reproductive division of labor, or whether an initial accumulation of repetitive elements leads to larger genomes and independently promotes the evolution of eusociality through adaptive evolution. Using phylogenetically informed analyses, we find that eusocial species have larger genomes with more transposable elements (TEs) and microsatellite repeats than noneusocial species. Interestingly, different TE subclasses contribute to the accumulation in different species. Phylogenetic path analysis testing alternative causal relationships between sociality and genome architecture is most consistent with the hypothesis that TEs modulate the relationship between sociality and genome architecture. Although eusociality appears to influence TE accumulation, ancestral state reconstruction suggests moderate TE abundances in ancestral species could have fueled the initial transitions to eusociality. Ultimately, we highlight a complex and dynamic relationship between genome and social evolution, demonstrating that sociality can influence the evolution of the genome, likely through changes in demography related to patterns of reproductive skew.
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Affiliation(s)
- Solomon T C Chak
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027;
- Department of Biological Sciences, State University of New York College at Old Westbury, Old Westbury, NY 11568
| | - Stephen E Harris
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027
- Department of Biology, State University of New York Purchase College, Purchase, NY 10577
| | | | - Nicholas W Jeffery
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, NS B2Y 4A2, Canada
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Dustin R Rubenstein
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027
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29
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Sieber KR, Dorman T, Newell N, Yan H. (Epi)Genetic Mechanisms Underlying the Evolutionary Success of Eusocial Insects. INSECTS 2021; 12:498. [PMID: 34071806 PMCID: PMC8229086 DOI: 10.3390/insects12060498] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/18/2021] [Accepted: 05/21/2021] [Indexed: 12/11/2022]
Abstract
Eusocial insects, such as bees, ants, and wasps of the Hymenoptera and termites of the Blattodea, are able to generate remarkable diversity in morphology and behavior despite being genetically uniform within a colony. Most eusocial insect species display caste structures in which reproductive ability is possessed by a single or a few queens while all other colony members act as workers. However, in some species, caste structure is somewhat plastic, and individuals may switch from one caste or behavioral phenotype to another in response to certain environmental cues. As different castes normally share a common genetic background, it is believed that much of this observed within-colony diversity results from transcriptional differences between individuals. This suggests that epigenetic mechanisms, featured by modified gene expression without changing genes themselves, may play an important role in eusocial insects. Indeed, epigenetic mechanisms such as DNA methylation, histone modifications and non-coding RNAs, have been shown to influence eusocial insects in multiple aspects, along with typical genetic regulation. This review summarizes the most recent findings regarding such mechanisms and their diverse roles in eusocial insects.
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Affiliation(s)
- Kayli R. Sieber
- Department of Biology, University of Florida, Gainesville, FL 32611, USA; (K.R.S.); (T.D.); (N.N.)
| | - Taylor Dorman
- Department of Biology, University of Florida, Gainesville, FL 32611, USA; (K.R.S.); (T.D.); (N.N.)
| | - Nicholas Newell
- Department of Biology, University of Florida, Gainesville, FL 32611, USA; (K.R.S.); (T.D.); (N.N.)
| | - Hua Yan
- Department of Biology, University of Florida, Gainesville, FL 32611, USA; (K.R.S.); (T.D.); (N.N.)
- Center for Smell and Taste, University of Florida, Gainesville, FL 32611, USA
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30
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Séguret A, Stolle E, Fleites-Ayil FA, Quezada-Euán JJG, Hartfelder K, Meusemann K, Harrison MC, Soro A, Paxton RJ. Transcriptomic Signatures of Ageing Vary in Solitary and Social Forms of an Orchid Bee. Genome Biol Evol 2021; 13:6259147. [PMID: 33914875 PMCID: PMC8214409 DOI: 10.1093/gbe/evab075] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2021] [Indexed: 12/14/2022] Open
Abstract
Eusocial insect queens are remarkable in their ability to maximize both fecundity and longevity, thus escaping the typical trade-off between these two traits. Several mechanisms have been proposed to underlie the remolding of the trade-off, such as reshaping of the juvenile hormone (JH) pathway, or caste-specific susceptibility to oxidative stress. However, it remains a challenge to disentangle the molecular mechanisms underlying the remolding of the trade-off in eusocial insects from caste-specific physiological attributes that have subsequently arisen. The socially polymorphic orchid bee Euglossa viridissima represents an excellent model to address the role of sociality per se in longevity as it allows direct comparisons of solitary and social individuals within a common genetic background. We investigated gene expression and JH levels in young and old bees from both solitary and social nests. We found 902 genes to be differentially expressed with age in solitary females, including genes involved in oxidative stress, versus only 100 genes in social dominant females, and 13 genes in subordinate females. A weighted gene coexpression network analysis further highlights pathways related to ageing in this species, including the target of rapamycin pathway. Eleven genes involved in translation, apoptosis, and DNA repair show concurrent age-related expression changes in solitary but not in social females, representing potential differences based on social status. JH titers did not vary with age or social status. Our results represent an important step in understanding the proximate mechanisms underlying the remodeling of the fecundity/longevity trade-off that accompanies the evolutionary transition from solitary life to eusociality.
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Affiliation(s)
- Alice Séguret
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany.,Institute for Evolution and Biodiversity, Westfälische-Wilhelms University, Münster, Germany
| | - Eckart Stolle
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany.,Leibniz Institute of Animal Biodiversity, Zoological Research Museum Alexander Koenig, Center of Molecular Biodiversity Research, Bonn, Germany
| | | | - José Javier G Quezada-Euán
- Department of Apiculture, Campus of Biological Sciences and Animal Husbandry, Autonomous University of Yucatán, Mérida, Mexico
| | - Klaus Hartfelder
- Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto, Brazil
| | - Karen Meusemann
- Evolutionary Biology and Ecology, Albert-Ludwigs-University Freiburg, Freiburg (i. Brsg.), Germany
| | - Mark C Harrison
- Institute for Evolution and Biodiversity, Westfälische-Wilhelms University, Münster, Germany
| | - Antonella Soro
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Robert J Paxton
- Institute of Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
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31
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Kingwell C, Böröczky K, Steitz I, Ayasse M, Wcislo W. Cuticular and Dufour's Gland Chemistry Reflect Reproductive and Social State in the Facultatively Eusocial Sweat Bee Megalopta genalis (Hymenoptera: Halictidae). J Chem Ecol 2021; 47:420-432. [PMID: 33682070 DOI: 10.1007/s10886-021-01262-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/23/2021] [Accepted: 03/02/2021] [Indexed: 01/18/2023]
Abstract
Queen pheromones evolved independently in multiple eusocial insect lineages, in which they mediate reproductive conflict by inhibiting worker ovarian development. Although fundamentally important for reproductive division of labor - the hallmark of eusociality - their evolutionary origins are enigmatic. Here, we analyze cuticular and Dufour's gland chemistries across alternative social and reproductive phenotypes in Megalopta genalis bees (tribe Augochlorini, family Halictidae) that facultatively express simple eusociality. Reproductive bees have distinct overall glandular and cuticular chemical phenotypes compared with non-reproductive workers. On the cuticle, a likely site of signal transmission, reproductives are enriched for certain alkenes, most linear alkanes, and are heavily enriched for all methyl-branched alkanes. Chemicals belonging to these compound classes are known to function as fertility signals in other eusocial insect taxa. Some macrocyclic lactones, compounds that serve as queen pheromones in the other eusocial halictid tribe (Halictini), are also enriched among reproductives relative to workers. The intra-population facultative eusociality of M. genalis permits direct comparisons between individuals expressing alternative reproductive phenotypes - females that reproduce alone (solitary reproductives) and social queens - to highlight traits in the latter that may be important mediators of eusociality. Compared with solitary reproductives, the cuticular chemistries of queens are more strongly differentiated from those of workers, and furthermore are especially enriched for methyl-branched alkanes. Determining the pheromonal function(s) and information content of the candidate signaling compounds we identify will help illuminate the early evolutionary history of queen pheromones, chemical signals central to the organization of insect eusocial behavior.
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Affiliation(s)
- Callum Kingwell
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
- Smithsonian Tropical Research Institute, Panama City, Panama.
| | - Katalin Böröczky
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Iris Steitz
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - Manfred Ayasse
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - William Wcislo
- Smithsonian Tropical Research Institute, Panama City, Panama
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32
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Collins DH, Wirén A, Labédan M, Smith M, Prince DC, Mohorianu I, Dalmay T, Bourke AFG. Gene expression during larval caste determination and differentiation in intermediately eusocial bumblebees, and a comparative analysis with advanced eusocial honeybees. Mol Ecol 2021; 30:718-735. [PMID: 33238067 PMCID: PMC7898649 DOI: 10.1111/mec.15752] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/11/2020] [Accepted: 11/16/2020] [Indexed: 12/19/2022]
Abstract
The queen‐worker caste system of eusocial insects represents a prime example of developmental polyphenism (environmentally‐induced phenotypic polymorphism) and is intrinsic to the evolution of advanced eusociality. However, the comparative molecular basis of larval caste determination and subsequent differentiation in the eusocial Hymenoptera remains poorly known. To address this issue within bees, we profiled caste‐associated gene expression in female larvae of the intermediately eusocial bumblebee Bombus terrestris. In B. terrestris, female larvae experience a queen‐dependent period during which their caste fate as adults is determined followed by a nutrition‐sensitive period also potentially affecting caste fate but for which the evidence is weaker. We used mRNA‐seq and qRT‐PCR validation to isolate genes differentially expressed between each caste pathway in larvae at developmental stages before and after each of these periods. We show that differences in gene expression between caste pathways are small in totipotent larvae, then peak after the queen‐dependent period. Relatively few novel (i.e., taxonomically‐restricted) genes were differentially expressed between castes, though novel genes were significantly enriched in late‐instar larvae in the worker pathway. We compared sets of caste‐associated genes in B. terrestris with those reported from the advanced eusocial honeybee, Apis mellifera, and found significant but relatively low levels of overlap of gene lists between the two species. These results suggest both the existence of low numbers of shared toolkit genes and substantial divergence in caste‐associated genes between Bombus and the advanced eusocial Apis since their last common eusocial ancestor.
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Affiliation(s)
- David H Collins
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Anders Wirén
- School of Biological Sciences, University of East Anglia, Norwich, UK.,School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Marjorie Labédan
- School of Biological Sciences, University of East Anglia, Norwich, UK.,Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Michael Smith
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | - David C Prince
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Irina Mohorianu
- School of Biological Sciences, University of East Anglia, Norwich, UK.,Jeffrey Cheah Biomedical Centre, WT-MRC Cambridge Stem Cell Institute, Cambridge, UK
| | - Tamas Dalmay
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Andrew F G Bourke
- School of Biological Sciences, University of East Anglia, Norwich, UK
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33
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Jones BM, Rao VD, Gernat T, Jagla T, Cash-Ahmed AC, Rubin BER, Comi TJ, Bhogale S, Husain SS, Blatti C, Middendorf M, Sinha S, Chandrasekaran S, Robinson GE. Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks. eLife 2020; 9:e62850. [PMID: 33350385 PMCID: PMC7755388 DOI: 10.7554/elife.62850] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 11/16/2020] [Indexed: 12/20/2022] Open
Abstract
Understanding the regulatory architecture of phenotypic variation is a fundamental goal in biology, but connections between gene regulatory network (GRN) activity and individual differences in behavior are poorly understood. We characterized the molecular basis of behavioral plasticity in queenless honey bee (Apis mellifera) colonies, where individuals engage in both reproductive and non-reproductive behaviors. Using high-throughput behavioral tracking, we discovered these colonies contain a continuum of phenotypes, with some individuals specialized for either egg-laying or foraging and 'generalists' that perform both. Brain gene expression and chromatin accessibility profiles were correlated with behavioral variation, with generalists intermediate in behavior and molecular profiles. Models of brain GRNs constructed for individuals revealed that transcription factor (TF) activity was highly predictive of behavior, and behavior-associated regulatory regions had more TF motifs. These results provide new insights into the important role played by brain GRN plasticity in the regulation of behavior, with implications for social evolution.
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Affiliation(s)
- Beryl M Jones
- Program in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
| | - Vikyath D Rao
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
- Department of Physics, University of Illinois at Urbana–ChampaignUrbanaUnited States
| | - Tim Gernat
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
- Swarm Intelligence and Complex Systems Group, Department of Computer Science, Leipzig UniversityLeipzigGermany
| | - Tobias Jagla
- Swarm Intelligence and Complex Systems Group, Department of Computer Science, Leipzig UniversityLeipzigGermany
| | - Amy C Cash-Ahmed
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
| | - Benjamin ER Rubin
- Lewis-Sigler Institute for Integrative Genomics, Princeton UniversityPrincetonUnited States
| | - Troy J Comi
- Lewis-Sigler Institute for Integrative Genomics, Princeton UniversityPrincetonUnited States
| | - Shounak Bhogale
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
| | - Syed S Husain
- Department of Biomedical Engineering, University of MichiganAnn ArborUnited States
| | - Charles Blatti
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
| | - Martin Middendorf
- Swarm Intelligence and Complex Systems Group, Department of Computer Science, Leipzig UniversityLeipzigGermany
| | - Saurabh Sinha
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
| | - Sriram Chandrasekaran
- Department of Biomedical Engineering, University of MichiganAnn ArborUnited States
- Center for Computational Medicine and Bioinformatics, University of MichiganAnn ArborUnited States
| | - Gene E Robinson
- Program in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana–ChampaignUrbanaUnited States
- Neuroscience Program, University of Illinois at Urbana–ChampaignUrbanaUnited States
- Department of Entomology, University of Illinois at Urbana–ChampaignUrbanaUnited States
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Kapheim KM, Jones BM, Søvik E, Stolle E, Waterhouse RM, Bloch G, Ben-Shahar Y. Brain microRNAs among social and solitary bees. ROYAL SOCIETY OPEN SCIENCE 2020; 7:200517. [PMID: 32874647 PMCID: PMC7428247 DOI: 10.1098/rsos.200517] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/15/2020] [Indexed: 05/03/2023]
Abstract
Evolutionary transitions to a social lifestyle in insects are associated with lineage-specific changes in gene expression, but the key nodes that drive these regulatory changes are unknown. We examined the relationship between social organization and lineage-specific microRNAs (miRNAs). Genome scans across 12 bee species showed that miRNA copy-number is mostly conserved and not associated with sociality. However, deep sequencing of small RNAs in six bee species revealed a substantial proportion (20-35%) of detected miRNAs had lineage-specific expression in the brain, 24-72% of which did not have homologues in other species. Lineage-specific miRNAs disproportionately target lineage-specific genes, and have lower expression levels than shared miRNAs. The predicted targets of lineage-specific miRNAs are not enriched for genes with caste-biased expression or genes under positive selection in social species. Together, these results suggest that novel miRNAs may coevolve with novel genes, and thus contribute to lineage-specific patterns of evolution in bees, but do not appear to have significant influence on social evolution. Our analyses also support the hypothesis that many new miRNAs are purged by selection due to deleterious effects on mRNA targets, and suggest genome structure is not as influential in regulating bee miRNA evolution as has been shown for mammalian miRNAs.
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Affiliation(s)
- Karen M. Kapheim
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA
- Author for correspondence: Karen M. Kapheim e-mail:
| | - Beryl M. Jones
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - Eirik Søvik
- Department of Science and Mathematics, Volda University College, 6100 Volda, Norway
| | - Eckart Stolle
- Centre of Molecular Biodiversity Research, Forschungsmuseum Alexander Koenig, Adenauerallee 160, 53113 Bonn, Germany
| | - Robert M. Waterhouse
- Department of Ecology and Evolution, University of Lausanne and Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Guy Bloch
- Department of Ecology, Evolution and Behavior, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Yehuda Ben-Shahar
- Department of Biology, Washington University in St Louis, St Louis, MO 63130, USA
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