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Pope NS, Singh A, Childers AK, Kapheim KM, Evans JD, López-Uribe MM. The expansion of agriculture has shaped the recent evolutionary history of a specialized squash pollinator. Proc Natl Acad Sci U S A 2023; 120:e2208116120. [PMID: 37011184 PMCID: PMC10104555 DOI: 10.1073/pnas.2208116120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
Abstract
The expansion of agriculture is responsible for the mass conversion of biologically diverse natural environments into managed agroecosystems dominated by a handful of genetically homogeneous crop species. Agricultural ecosystems typically have very different abiotic and ecological conditions from those they replaced and create potential niches for those species that are able to exploit the abundant resources offered by crop plants. While there are well-studied examples of crop pests that have adapted into novel agricultural niches, the impact of agricultural intensification on the evolution of crop mutualists such as pollinators is poorly understood. We combined genealogical inference from genomic data with archaeological records to demonstrate that the Holocene demographic history of a wild specialist pollinator of Cucurbita (pumpkins, squashes, and gourds) has been profoundly impacted by the history of agricultural expansion in North America. Populations of the squash bee Eucera pruinosa experienced rapid growth in areas where agriculture intensified within the past 1,000 y, suggesting that the cultivation of Cucurbita in North America has increased the amount of floral resources available to these bees. In addition, we found that roughly 20% of this bee species' genome shows signatures of recent selective sweeps. These signatures are overwhelmingly concentrated in populations from eastern North America where squash bees were historically able to colonize novel environments due to human cultivation of Cucurbita pepo and now exclusively inhabit agricultural niches. These results suggest that the widespread cultivation of crops can prompt adaptation in wild pollinators through the distinct ecological conditions imposed by agricultural environments.
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Affiliation(s)
- Nathaniel S Pope
- Department of Entomology, The Pennsylvania State University, University Park, PA 16802
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403
| | - Avehi Singh
- Department of Entomology, The Pennsylvania State University, University Park, PA 16802
| | - Anna K Childers
- Bee Research Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705
| | - Karen M Kapheim
- Department of Biology, Utah State University, Logan, UT 84322
| | - Jay D Evans
- Bee Research Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705
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2
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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 DOI: 10.1038/s41559-023-02001-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Hagadorn MA, Hunter FK, DeLory T, Johnson MM, Pitts-Singer TL, Kapheim KM. Maternal body condition and season influence RNA deposition in the oocytes of alfalfa leafcutting bees ( Megachile rotundata). Front Genet 2023; 13:1064332. [PMID: 36685934 PMCID: PMC9845908 DOI: 10.3389/fgene.2022.1064332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 11/28/2022] [Indexed: 01/06/2023] Open
Abstract
Maternal effects are an important source of phenotypic variance, whereby females influence offspring developmental trajectory beyond direct genetic contributions, often in response to changing environmental conditions. However, relatively little is known about the mechanisms by which maternal experience is translated into molecular signals that shape offspring development. One such signal may be maternal RNA transcripts (mRNAs and miRNAs) deposited into maturing oocytes. These regulate the earliest stages of development of all animals, but are understudied in most insects. Here we investigated the effects of female internal (body condition) and external (time of season) environmental conditions on maternal RNA in the maturing oocytes and 24-h-old eggs (24-h eggs) of alfalfa leafcutting bees. Using gene expression and WGCNA analysis, we found that females adjust the quantity of mRNAs related to protein phosphorylation, transcriptional regulation, and nuclease activity deposited into maturing oocytes in response to both poor body condition and shorter day lengths that accompany the late season. However, the magnitude of these changes was higher for time of season. Females also adjusted miRNA deposition in response to seasonal changes, but not body condition. We did not observe significant changes in maternal RNAs in response to either body condition or time of season in 24-h eggs, which were past the maternal-to-zygotic transition. Our results suggest that females adjust the RNA transcripts they provide for offspring to regulate development in response to both internal and external environmental cues. Variation in maternal RNAs may, therefore, be important for regulating offspring phenotype in response to environmental change.
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Affiliation(s)
- Mallory A. Hagadorn
- Department of Biology, Department of Biology, Utah State University, Logan, UT, United States
| | - Frances K. Hunter
- Department of Biology, Department of Biology, Utah State University, Logan, UT, United States
| | - Tim DeLory
- Department of Biology, Department of Biology, Utah State University, Logan, UT, United States
| | - Makenna M. Johnson
- Department of Biology, Department of Biology, Utah State University, Logan, UT, United States,United States Department of Agriculture, Agricultural Research Service, Pollinating Insects Research Unit, Logan, UT, United States
| | - Theresa L. Pitts-Singer
- United States Department of Agriculture, Agricultural Research Service, Pollinating Insects Research Unit, Logan, UT, United States
| | - Karen M. Kapheim
- Department of Biology, Department of Biology, Utah State University, Logan, UT, United States,*Correspondence: Karen M. Kapheim ,
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Nonacs P, Denton KK, Robin AN, Helanterä H, Kapheim KM. Editorial: Social evolution and the what, when, why and how of the major evolutionary transitions in the history of life. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.1109484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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5
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Hagadorn MA, Eck K, Del Grosso M, Haemmerle X, Wcislo WT, Kapheim KM. Age-related mushroom body expansion in male sweat bees and bumble bees. Sci Rep 2021; 11:17039. [PMID: 34426595 PMCID: PMC8382693 DOI: 10.1038/s41598-021-96268-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/04/2021] [Indexed: 01/20/2023] Open
Abstract
A well-documented phenomenon among social insects is that brain changes occur prior to or at the onset of certain experiences, potentially serving to prime the brain for specific tasks. This insight comes almost exclusively from studies considering developmental maturation in females. As a result, it is unclear whether age-related brain plasticity is consistent across sexes, and to what extent developmental patterns differ. Using confocal microscopy and volumetric analyses, we investigated age-related brain changes coinciding with sexual maturation in the males of the facultatively eusocial sweat bee, Megalopta genalis, and the obligately eusocial bumble bee, Bombus impatiens. We compared volumetric measurements between newly eclosed and reproductively mature males kept isolated in the lab. We found expansion of the mushroom bodies-brain regions associated with learning and memory-with maturation, which were consistent across both species. This age-related plasticity may, therefore, play a functionally-relevant role in preparing male bees for mating, and suggests that developmentally-driven neural restructuring can occur in males, even in species where it is absent in females.
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Affiliation(s)
- Mallory A Hagadorn
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA.
| | - Karlee Eck
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA
| | - Matthew Del Grosso
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA
| | - Xavier Haemmerle
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA
| | - William T Wcislo
- Smithsonian Tropical Research Institute, 0843-03092, Panama City, Republic of Panama
| | - Karen M Kapheim
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA.
- Smithsonian Tropical Research Institute, 0843-03092, Panama City, Republic of Panama.
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6
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Hagadorn MA, Johnson MM, Smith AR, Seid MA, Kapheim KM. Experience, but not age, is associated with volumetric mushroom body expansion in solitary alkali bees. J Exp Biol 2021; 224:jeb.238899. [DOI: 10.1242/jeb.238899] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/09/2021] [Indexed: 01/03/2023]
Abstract
ABSTRACT
In social insects, changes in behavior are often accompanied by structural changes in the brain. This neuroplasticity may come with experience (experience-dependent) or age (experience-expectant). Yet, the evolutionary relationship between neuroplasticity and sociality is unclear, because we know little about neuroplasticity in the solitary relatives of social species. We used confocal microscopy to measure brain changes in response to age and experience in a solitary halictid bee (Nomia melanderi). First, we compared the volume of individual brain regions among newly emerged females, laboratory females deprived of reproductive and foraging experience, and free-flying, nesting females. Experience, but not age, led to significant expansion of the mushroom bodies – higher-order processing centers associated with learning and memory. Next, we investigated how social experience influences neuroplasticity by comparing the brains of females kept in the laboratory either alone or paired with another female. Paired females had significantly larger olfactory regions of the mushroom bodies. Together, these experimental results indicate that experience-dependent neuroplasticity is common to both solitary and social taxa, whereas experience-expectant neuroplasticity may be an adaptation to life in a social colony. Further, neuroplasticity in response to social chemical signals may have facilitated the evolution of sociality.
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Affiliation(s)
- Mallory A. Hagadorn
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA
| | - Makenna M. Johnson
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA
| | - Adam R. Smith
- Department of Biological Sciences, George Washington University, 800 22nd St NW, Washington, DC 20052, USA
| | - Marc A. Seid
- Biology Department, University of Scranton, 800 Linden St, Scranton, PA 18510, USA
| | - Karen M. Kapheim
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA
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7
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Kapheim KM, Johnson MM, Jolley M. Composition and acquisition of the microbiome in solitary, ground-nesting alkali bees. Sci Rep 2021; 11:2993. [PMID: 33542351 PMCID: PMC7862682 DOI: 10.1038/s41598-021-82573-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 01/21/2021] [Indexed: 01/30/2023] Open
Abstract
Increasing evidence suggests the microbiome plays an important role in bee ecology and health. However, the relationship between bees and their bacterial symbionts has only been explored in a handful of species. We characterized the microbiome across the life cycle of solitary, ground-nesting alkali bees (Nomia melanderi). We find that feeding status is a major determinant of microbiome composition. The microbiome of feeding larvae was similar to that of pollen provisions, but the microbiome of post-feeding larvae (pre-pupae) was similar to that of the brood cell walls and newly-emerged females. Feeding larvae and pollen provisions had the lowest beta diversity, suggesting the composition of larval diet is highly uniform. Comparisons between lab-reared, newly-emerged, and nesting adult females suggest that the hindgut bacterial community is largely shaped by the external environment. However, we also identified taxa that are likely acquired in the nest or which increase or decrease in relative abundance with age. Although Lactobacillus micheneri was highly prevalent in pollen provisions, it was only detected in one lab-reared female, suggesting it is primarily acquired from environmental sources. These results provide the foundation for future research on metagenomic function and development of probiotics for these native pollinators.
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Affiliation(s)
- Karen M. Kapheim
- grid.53857.3c0000 0001 2185 8768Department of Biology, Utah State University, Logan, UT 84322 USA
| | - Makenna M. Johnson
- grid.53857.3c0000 0001 2185 8768Department of Biology, Utah State University, Logan, UT 84322 USA
| | - Maggi Jolley
- grid.53857.3c0000 0001 2185 8768Department of Biology, Utah State University, Logan, UT 84322 USA
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8
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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. R Soc Open Sci 2020; 7:200517. [PMID: 32874647 PMCID: PMC7428247 DOI: 10.1098/rsos.200517] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Rêgo A, Chaturvedi S, Springer A, Lish AM, Barton CL, Kapheim KM, Messina FJ, Gompert Z. Combining Experimental Evolution and Genomics to Understand How Seed Beetles Adapt to a Marginal Host Plant. Genes (Basel) 2020; 11:genes11040400. [PMID: 32276323 PMCID: PMC7230198 DOI: 10.3390/genes11040400] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 04/01/2020] [Accepted: 04/01/2020] [Indexed: 12/21/2022] Open
Abstract
Genes that affect adaptive traits have been identified, but our knowledge of the genetic basis of adaptation in a more general sense (across multiple traits) remains limited. We combined population-genomic analyses of evolve-and-resequence experiments, genome-wide association mapping of performance traits, and analyses of gene expression to fill this knowledge gap and shed light on the genomics of adaptation to a marginal host (lentil) by the seed beetle Callosobruchus maculatus. Using population-genomic approaches, we detected modest parallelism in allele frequency change across replicate lines during adaptation to lentil. Mapping populations derived from each lentil-adapted line revealed a polygenic basis for two host-specific performance traits (weight and development time), which had low to modest heritabilities. We found less evidence of parallelism in genotype-phenotype associations across these lines than in allele frequency changes during the experiments. Differential gene expression caused by differences in recent evolutionary history exceeded that caused by immediate rearing host. Together, the three genomic datasets suggest that genes affecting traits other than weight and development time are likely to be the main causes of parallel evolution and that detoxification genes (especially cytochrome P450s and beta-glucosidase) could be especially important for colonization of lentil by C. maculatus.
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Affiliation(s)
- Alexandre Rêgo
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
- Department of Zoology, Stockholm University, 114 19 Stockholm, Sweden
| | - Samridhi Chaturvedi
- Department of Organismic & Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA;
| | - Amy Springer
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
| | - Alexandra M. Lish
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
| | - Caroline L. Barton
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
| | - Karen M. Kapheim
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
| | - Frank J. Messina
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
| | - Zachariah Gompert
- Department of Biology, Utah State University, Logan, UT 84322, USA; (A.R.); (A.S.); (A.M.L.); (C.L.B.); (K.M.K.); (F.J.M.)
- Correspondence:
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10
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Abstract
A classic prediction of kin selection theory is that a mixed population of social and solitary nests of haplodiploid insects should exhibit a split sex ratio among offspring: female biased in social nests, male biased in solitary nests. Here, we provide the first evidence of a solitary-social split sex ratio, using the sweat bee Megalopta genalis (Halictidae). Data from 2502 offspring collected from naturally occurring nests across 6 years spanning the range of the M. genalis reproductive season show that despite significant yearly and seasonal variation, the offspring sex ratio of social nests is consistently more female biased than in solitary nests. This suggests that split sex ratios may facilitate the evolutionary origins of cooperation based on reproductive altruism via kin selection.
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Affiliation(s)
- Adam R Smith
- 1 Department of Biological Sciences, George Washington University , Washington, DC , USA
| | - Karen M Kapheim
- 2 Department of Biology, Utah State University , Logan, UT , USA.,4 Smithsonian Tropical Research Institute , Panama City , Panama
| | - Callum J Kingwell
- 3 Department of Neurobiology and Behavior, Cornell University , Ithaca, NY , USA.,4 Smithsonian Tropical Research Institute , Panama City , Panama
| | - William T Wcislo
- 4 Smithsonian Tropical Research Institute , Panama City , Panama
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11
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Abstract
Diapause is a physiological arrest of development ahead of adverse environmental conditions and is a critical phase of the life cycle of many insects. In bees, diapause has been reported in species from all seven taxonomic families. However, they exhibit a variety of diapause strategies. These different strategies are of particular interest since shifts in the phase of the insect life cycle in which diapause occurs have been hypothesized to promote the evolution of sociality. Here we provide a comprehensive evaluation of this hypothesis with phylogenetic analysis and ancestral state reconstruction (ASR) of the ecological and evolutionary factors associated with diapause phase. We find that social lifestyle, latitude and voltinism are significant predictors of the life stage in which diapause occurs. ASR revealed that the most recent common ancestor of all bees likely exhibited developmental diapause and shifts to adult, reproductive, or no diapause have occurred in the ancestors of lineages in which social behaviour has evolved. These results provide fresh insight regarding the role of diapause as a prerequisite for the evolution of sociality in bees.
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Affiliation(s)
- Priscila Karla Ferreira Santos
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências - Universidade de São Paulo, Rua do Matão, 277, CEP 05508-090 São Paulo, SP, Brazil
| | - Maria Cristina Arias
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências - Universidade de São Paulo, Rua do Matão, 277, CEP 05508-090 São Paulo, SP, Brazil
| | - Karen M Kapheim
- Department of Biology, Utah State University, Logan, UT 84322, USA
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12
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Jones JC, Wallberg A, Christmas MJ, Kapheim KM, Webster MT. Extreme Differences in Recombination Rate between the Genomes of a Solitary and a Social Bee. Mol Biol Evol 2019; 36:2277-2291. [DOI: 10.1093/molbev/msz130] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Abstract
Social insect genomes exhibit the highest rates of crossing over observed in plants and animals. The evolutionary causes of these extreme rates are unknown. Insight can be gained by comparing recombination rate variation across the genomes of related social and solitary insects. Here, we compare the genomic recombination landscape of the highly social honey bee, Apis mellifera, with the solitary alfalfa leafcutter bee, Megachile rotundata, by analyzing patterns of linkage disequilibrium in population-scale genome sequencing data. We infer that average recombination rates are extremely elevated in A. mellifera compared with M. rotundata. However, our results indicate that similar factors control the distribution of crossovers in the genomes of both species. Recombination rate is significantly reduced in coding regions in both species, with genes inferred to be germline methylated having particularly low rates. Genes with worker-biased patterns of expression in A. mellifera and their orthologs in M. rotundata have higher than average recombination rates in both species, suggesting that selection for higher diversity in genes involved in worker caste functions in social taxa is not the explanation for these elevated rates. Furthermore, we find no evidence that recombination has modulated the efficacy of selection among genes during bee evolution, which does not support the hypothesis that high recombination rates facilitated positive selection for new functions in social insects. Our results indicate that the evolution of sociality in insects likely entailed selection on modifiers that increased recombination rates genome wide, but that the genomic recombination landscape is determined by the same factors.
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Affiliation(s)
- Julia C Jones
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Matthew J Christmas
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | | | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
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13
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Rubenstein DR, Ågren JA, Carbone L, Elde NC, Hoekstra HE, Kapheim KM, Keller L, Moreau CS, Toth AL, Yeaman S, Hofmann HA. Coevolution of Genome Architecture and Social Behavior. Trends Ecol Evol 2019; 34:844-855. [PMID: 31130318 DOI: 10.1016/j.tree.2019.04.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 04/03/2019] [Accepted: 04/17/2019] [Indexed: 01/02/2023]
Abstract
Although social behavior can have a strong genetic component, it can also result in selection on genome structure and function, thereby influencing the evolution of the genome itself. Here we explore the bidirectional links between social behavior and genome architecture by considering variation in social and/or mating behavior among populations (social polymorphisms) and across closely related species. We propose that social behavior can influence genome architecture via associated demographic changes due to social living. We establish guidelines to exploit emerging whole-genome sequences using analytical approaches that examine genome structure and function at different levels (regulatory vs structural variation) from the perspective of both molecular biology and population genetics in an ecological context.
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Affiliation(s)
- Dustin R Rubenstein
- Columbia University, Department of Ecology, Evolution, and Environmental Biology and Center for Integrative Animal Behavior, New York, NY 10027, USA.
| | - J Arvid Ågren
- Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, MA 02138, USA
| | - Lucia Carbone
- Oregon Health & Science University, Department of Medicine, KCVI, Portland, OR 97239, USA; Oregon National Primate Research Center, Division of Genetics, Beaverton, OR 97006, USA
| | - Nels C Elde
- University of Utah School of Medicine, Department of Human Genetics, Salt Lake City, UT 84112, USA
| | - Hopi E Hoekstra
- Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, MA 02138, USA; Harvard University, Howard Hughes Medical Institute, Department of Molecular and Cellular Biology, Cambridge, MA 02138, USA
| | - Karen M Kapheim
- Utah State University, Department of Biology, Logan, UT 84322, USA
| | - Laurent Keller
- University of Lausanne, Department of Ecology and Evolution, Biophore, UNIL, 1015 Lausanne, Switzerland
| | - Corrie S Moreau
- Cornell University, Departments of Entomology and Ecology and Evolutionary Biology, Ithaca, NY 14850, USA
| | - Amy L Toth
- Iowa State University, Department of Ecology, Evolution, and Organismal Biology and Department of Entomology, Ames, IA 50011, USA
| | - Sam Yeaman
- University of Calgary, Department of Biological Sciences, Calgary, AB T2N 1N4, Canada
| | - Hans A Hofmann
- The University of Texas at Austin, Department of Integrative Biology and Institute for Cellular and Molecular Biology, 2415 Speedway C-0990, Austin, TX 78712, USA.
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14
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15
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Nigenda-Morales SF, Gompper ME, Valenzuela-Galván D, Lay AR, Kapheim KM, Hass C, Booth-Binczik SD, Binczik GA, Hirsch BT, McColgin M, Koprowski JL, McFadden K, Wayne RK, Koepfli KP. Phylogeographic and diversification patterns of the white-nosed coati (Nasua narica): Evidence for south-to-north colonization of North America. Mol Phylogenet Evol 2018; 131:149-163. [PMID: 30468940 DOI: 10.1016/j.ympev.2018.11.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 11/12/2018] [Accepted: 11/16/2018] [Indexed: 11/30/2022]
Abstract
White-nosed coatis (Nasua narica) are widely distributed throughout North, Central, and South America, but the patterns of temporal and spatial diversification that have contributed to this distribution are unknown. In addition, the biogeographic history of procyonid species in the Americas remains contentious. Using sequences from three mitochondrial loci (Cytochrome b, NAHD5 and 16S rRNA; 2201 bp) and genotypes from 11 microsatellite loci, we analyzed genetic diversity to determine phylogeographic patterns, genetic structure, divergence times, and gene flow among Nasua narica populations throughout the majority of the species' range. We also estimated the ancestral geographic range of N. narica and other procyonid species. We found a high degree of genetic structure and divergence among populations that conform to five evolutionarily significant units. The most southerly distributed population (Panama) branched off much earlier (∼3.8 million years ago) than the northern populations (<1.2 million years ago). Estimated gene flow among populations was low and mostly northwards and westwards. The phylogeographic patterns within N. narica are associated with geographic barriers and habitat shifts likely caused by Pliocene-Pleistocene climate oscillations. Significantly, our findings suggest the dispersal of N. narica was south-to-north beginning in the Pliocene, not in the opposite direction during the Pleistocene as suggested by the fossil record, and that the most recent common ancestor for coati species was most likely distributed in South or Central America six million years ago. Our study implies the possibility that the diversification of Nasua species, and other extant procyonid lineages, may have occurred in South America.
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Affiliation(s)
- Sergio F Nigenda-Morales
- Department of Ecology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - Matthew E Gompper
- School of Natural Resources, University of Missouri, Columbia, MO 65211, USA
| | - David Valenzuela-Galván
- Departamento de Ecología Evolutiva, Centro de Investigación en Biodiversidad y Conservación, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos 62209, Mexico
| | - Anna R Lay
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Karen M Kapheim
- Department of Biology, Utah State University, Logan, UT 84322, USA
| | | | | | | | - Ben T Hirsch
- Zoology and Ecology, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia
| | - Maureen McColgin
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - John L Koprowski
- School of Natural Resources and the Environment, The University of Arizona, Tucson, AZ 85721, USA
| | - Katherine McFadden
- College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC 29634, USA
| | - Robert K Wayne
- Department of Ecology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, National Zoological Park, Washington, D.C. 20008, USA; Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, Saint Petersburg 199034, Russian Federation.
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16
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Galbraith DA, Fuller ZL, Ray AM, Brockmann A, Frazier M, Gikungu MW, Martinez JFI, Kapheim KM, Kerby JT, Kocher SD, Losyev O, Muli E, Patch HM, Rosa C, Sakamoto JM, Stanley S, Vaudo AD, Grozinger CM. Investigating the viral ecology of global bee communities with high-throughput metagenomics. Sci Rep 2018; 8:8879. [PMID: 29891995 PMCID: PMC5995813 DOI: 10.1038/s41598-018-27164-z] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 05/29/2018] [Indexed: 01/25/2023] Open
Abstract
Bee viral ecology is a fascinating emerging area of research: viruses exert a range of effects on their hosts, exacerbate impacts of other environmental stressors, and, importantly, are readily shared across multiple bee species in a community. However, our understanding of bee viral communities is limited, as it is primarily derived from studies of North American and European Apis mellifera populations. Here, we examined viruses in populations of A. mellifera and 11 other bee species from 9 countries, across 4 continents and Oceania. We developed a novel pipeline to rapidly and inexpensively screen for bee viruses. This pipeline includes purification of encapsulated RNA/DNA viruses, sequence-independent amplification, high throughput sequencing, integrated assembly of contigs, and filtering to identify contigs specifically corresponding to viral sequences. We identified sequences for (+)ssRNA, (−)ssRNA, dsRNA, and ssDNA viruses. Overall, we found 127 contigs corresponding to novel viruses (i.e. previously not observed in bees), with 27 represented by >0.1% of the reads in a given sample, and 7 contained an RdRp or replicase sequence which could be used for robust phylogenetic analysis. This study provides a sequence-independent pipeline for viral metagenomics analysis, and greatly expands our understanding of the diversity of viruses found in bee communities.
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Affiliation(s)
- David A Galbraith
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA.
| | - Zachary L Fuller
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA.,Department of Biology, Pennsylvania State University, University Park, PA, USA.,Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Allyson M Ray
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA
| | - Axel Brockmann
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
| | - Maryann Frazier
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA
| | - Mary W Gikungu
- Department of Zoology, National Museums of Kenya, Nairobi, Kenya
| | | | - Karen M Kapheim
- Department of Biology, Utah State University, Logan, UT, USA.,Smithsonian Tropical Research Institute, Panama City, Panama
| | - Jeffrey T Kerby
- Neukom Institute for Computational Science, Dartmouth College, Hanover, NH, USA
| | - Sarah D Kocher
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Oleksiy Losyev
- Department of Beekeeping, The National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
| | - Elliud Muli
- The International Center of Insect Physiology and Ecology, Nairobi, Kenya
| | - Harland M Patch
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA
| | - Cristina Rosa
- Department of Plant Pathology, Pennsylvania State University, University Park, PA, USA
| | - Joyce M Sakamoto
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA
| | - Scott Stanley
- Division of Pediatric Hematology and Oncology, Pennsylvania State University Children's Hospital, Hershey, PA, USA
| | - Anthony D Vaudo
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA
| | - Christina M Grozinger
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA
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17
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Branstetter MG, Childers AK, Cox-Foster D, Hopper KR, Kapheim KM, Toth AL, Worley KC. Genomes of the Hymenoptera. Curr Opin Insect Sci 2018; 25:65-75. [PMID: 29602364 PMCID: PMC5993429 DOI: 10.1016/j.cois.2017.11.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 11/16/2017] [Indexed: 05/06/2023]
Abstract
Hymenoptera is the second-most sequenced arthropod order, with 52 publically archived genomes (71 with ants, reviewed elsewhere), however these genomes do not capture the breadth of this very diverse order (Figure 1, Table 1). These sequenced genomes represent only 15 of the 97 extant families. Although at least 55 other genomes are in progress in an additional 11 families (see Table 2), stinging wasps represent 35 (67%) of the available and 42 (76%) of the in progress genomes. A more comprehensive catalog of hymenopteran genomes is needed for research into the evolutionary processes underlying the expansive diversity in terms of ecology, behavior, and physiological traits within this group. Additional sequencing is needed to generate an assembly for even 0.05% of the estimated 1 million hymenopteran species, and we recommend premier level assemblies for at least 0.1% of the >150,000 named species dispersed across the order. Given the haplodiploid sex determination in Hymenoptera, haploid male sequencing will help minimize genome assembly issues to enable higher quality genome assemblies.
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Affiliation(s)
- Michael G Branstetter
- Pollinating Insect-biology, Management, Systematics Research Unit, USDA-ARS, Logan, UT 84322, United States
| | - Anna K Childers
- Bee Research Laboratory, USDA-ARS, Beltsville, MD 20705, United States
| | - Diana Cox-Foster
- Pollinating Insect-biology, Management, Systematics Research Unit, USDA-ARS, Logan, UT 84322, United States
| | - Keith R Hopper
- Beneficial Insects Introduction Research Unit, USDA-ARS, Newark, DE 19713, United States
| | - Karen M Kapheim
- Utah State University, Department of Biology, Logan, UT 84322, United States
| | - Amy L Toth
- Iowa State University, Department of Ecology, Evolution, and Organismal Biology and Department of Entomology, Ames, IA 50011, United States
| | - Kim C Worley
- Human Genome Sequencing Center, and Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States
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18
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Kapheim KM, Johnson MM. Support for the reproductive ground plan hypothesis in a solitary bee: links between sucrose response and reproductive status. Proc Biol Sci 2018; 284:rspb.2016.2406. [PMID: 28100820 DOI: 10.1098/rspb.2016.2406] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Accepted: 12/15/2016] [Indexed: 01/29/2023] Open
Abstract
In social bees, foraging behaviour is correlated with reproductive status and sucrose sensitivity via endocrine pathways. This association led to the hypothesis that division of labour in social insect societies is derived from an ancestral ground plan that functions to synchronize dietary preferences with reproductive needs in solitary insects. However, the relationship between these traits is unknown for solitary bees, which represent the ancestral state of social bees. We used the proboscis extension response assay to measure sucrose response among reproductive females of the solitary alkali bee (Nomia melanderi) as a function of acute juvenile hormone (JH) treatments and reproductive physiology. We also tested long-term effects of JH on reproductive development in newly emerged females. JH did not have short-term effects on reproductive physiology or sucrose response, but did have significant long-term effects on ovary and Dufour's gland development. Dufour's gland size, not ovary development, was a significant predictor of sucrose response. This provides support for the reproductive ground plan hypothesis, because the Dufour's gland has conserved reproductive functions in bees. Differing results from this study and honeybees suggest independent origins of division of labour may have evolved via co-option of different components of a conserved ground plan.
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Affiliation(s)
- Karen M Kapheim
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA
| | - Makenna M Johnson
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA
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19
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Affiliation(s)
- Torrey W. Rodgers
- Department of Wildland Resources, Utah State University, 5230 Old Main Hill, Logan, UT 84322 (TWR)
| | - Karen M. Kapheim
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322 (KMK)
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20
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Rodgers TW, Xu CCY, Giacalone J, Kapheim KM, Saltonstall K, Vargas M, Yu DW, Somervuo P, McMillan WO, Jansen PA. Carrion fly-derived DNA metabarcoding is an effective tool for mammal surveys: Evidence from a known tropical mammal community. Mol Ecol Resour 2017; 17:e133-e145. [PMID: 28758342 DOI: 10.1111/1755-0998.12701] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 07/11/2017] [Accepted: 07/25/2017] [Indexed: 11/28/2022]
Abstract
Metabarcoding of vertebrate DNA derived from carrion flies has been proposed as a promising tool for biodiversity monitoring. To evaluate its efficacy, we conducted metabarcoding surveys of carrion flies on Barro Colorado Island (BCI), Panama, which has a well-known mammal community, and compared our results against diurnal transect counts and camera trapping. We collected 1,084 flies in 29 sampling days, conducted metabarcoding with mammal-specific (16S) and vertebrate-specific (12S) primers, and sequenced amplicons on Illumina MiSeq. For taxonomic assignment, we compared blast with the new program protax, and we found that protax improved species identifications. We detected 20 mammal, four bird, and one lizard species from carrion fly metabarcoding, all but one of which are known from BCI. Fly metabarcoding detected more mammal species than concurrent transect counts (29 sampling days, 13 species) and concurrent camera trapping (84 sampling days, 17 species), and detected 67% of the number of mammal species documented by 8 years of transect counts and camera trapping combined, although fly metabarcoding missed several abundant species. This study demonstrates that carrion fly metabarcoding is a powerful tool for mammal biodiversity surveys and has the potential to detect a broader range of species than more commonly used methods.
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Affiliation(s)
- Torrey W Rodgers
- Department of Wildland Resources, Utah State University, Logan, UT, USA.,Smithsonian Tropical Research Institute, Balboa, Panama
| | - Charles C Y Xu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.,Redpath Museum and Department of Biology, McGill University, Montreal, QC, Canada
| | - Jacalyn Giacalone
- College of Science and Mathematics, Montclair State University, Montclair, NJ, USA
| | - Karen M Kapheim
- Smithsonian Tropical Research Institute, Balboa, Panama.,Department of Biology, Utah State University, Logan, UT, USA
| | | | - Marta Vargas
- Smithsonian Tropical Research Institute, Balboa, Panama
| | - Douglas W Yu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, UK
| | - Panu Somervuo
- Department of Biosciences, University of Helsinki, Helsinki, Finland
| | | | - Patrick A Jansen
- Smithsonian Tropical Research Institute, Balboa, Panama.,Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands
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21
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Kapheim KM, Johnson MM. Juvenile hormone, but not nutrition or social cues, affects reproductive maturation in solitary alkali bees ( Nomia melanderi). ACTA ACUST UNITED AC 2017; 220:3794-3801. [PMID: 28821570 DOI: 10.1242/jeb.162255] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 08/15/2017] [Indexed: 12/12/2022]
Abstract
Eusocial insect colonies are defined by extreme variation in reproductive activity among castes, but the ancestral conditions from which this variation arose are unknown. Investigating the factors that contribute to variation in reproductive physiology among solitary insects that are closely related to social species can help to fill this gap. We experimentally tested the role of nutrition, juvenile hormone (JH) and social cues on reproductive maturation in solitary alkali bees (Halictidae: Nomia melanderi). We found that alkali bee females emerge from overwintering with small Dufour's glands and small ovaries, containing oocytes in the early stages of development. Oocyte maturation occurs rapidly, and is staggered between the two ovaries. Lab-reared females reached reproductive maturity without access to mates or nesting opportunities, and many had resorbed oocytes. Initial activation of these reproductive structures does not depend on pollen consumption, though dietary protein or lipids may be necessary for long-term reproductive activity. JH is likely to be a limiting factor in alkali bee reproductive activation, as females treated with JH were more likely to develop mature oocytes and Dufour's glands. Unlike for related social bees, the effects of JH were not suppressed by the presence of older, reproductive females. These results provide valuable insight into the factors that influence reproductive activity in an important native pollinator, and those that may have been particularly influential in the evolution of reproductive castes.
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Affiliation(s)
- Karen M Kapheim
- Utah State University, Department of Biology, 5305 Old Main Hill, Logan, UT 84322, USA
| | - Makenna M Johnson
- Utah State University, Department of Biology, 5305 Old Main Hill, Logan, UT 84322, USA
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22
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Kapheim KM. Nutritional, endocrine, and social influences on reproductive physiology at the origins of social behavior. Curr Opin Insect Sci 2017; 22:62-70. [PMID: 28805640 DOI: 10.1016/j.cois.2017.05.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Revised: 05/19/2017] [Accepted: 05/30/2017] [Indexed: 06/07/2023]
Abstract
Understanding the evolutionary origins of social behavior in insects requires understanding the physiological basis for reproductive plasticity. Solitary bees and wasps or those living in small, flexible societies will be key to understanding how conserved pathways have evolved to give rise to reproductive castes. Nutrient-sensing and endocrine pathways are decoupled from reproduction in some life stages of social insects. Heterochrony, particularly as it is related to diapause physiology, may be an important mechanism by which this decoupling occurs. Additional research is needed to understand how these pathways became sensitive to cues from the social environment. Future research targeting species with a diversity of social behaviors and diapause strategies will be key to understanding the physiological basis of social evolution.
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Affiliation(s)
- Karen M Kapheim
- Utah State University, Department of Biology, 5305 Old Main Hill, Logan, UT 84322, USA.
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23
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Kapheim KM. Genomic sources of phenotypic novelty in the evolution of eusociality in insects. Curr Opin Insect Sci 2016; 13:24-32. [PMID: 27436550 DOI: 10.1016/j.cois.2015.10.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Revised: 10/13/2015] [Accepted: 10/28/2015] [Indexed: 06/06/2023]
Abstract
Genomic resources are now available for closely related species that vary in social behavior, providing insight on the genomics of social evolution. Changes in the architecture of gene regulatory networks likely influence the evolutionary trajectory of social traits. Evolutionarily novel genes are likely important in the evolution of social diversity among insects, but it is unclear whether new genes played a driving role in the advent or elaboration of eusociality or if they were instead a result of other genomic features of eusociality. The worker phenotype appears to be the center of genetic novelty, but the mechanisms for this remain unresolved. Future studies are needed to understand how genetic novelty arises, becomes incorporated into existing gene regulatory networks, and the effects this has on the evolution of social traits in closely related social and solitary species.
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Affiliation(s)
- Karen M Kapheim
- Utah State University, Department of Biology, 5305 Old Main Hill, Logan UT 84322, USA.
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24
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McNeill MS, Kapheim KM, Brockmann A, McGill TAW, Robinson GE. Brain regions and molecular pathways responding to food reward type and value in honey bees. Genes Brain Behav 2016; 15:305-17. [PMID: 26566901 DOI: 10.1111/gbb.12275] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2015] [Revised: 10/27/2015] [Accepted: 11/10/2015] [Indexed: 12/19/2022]
Abstract
The ability of honey bees to evaluate differences in food type and value is crucial for colony success, but these assessments are made by individuals who bring food to the hive, eating little, if any, of it themselves. We tested the hypothesis that responses to food type (pollen or nectar) and value involve different subsets of brain regions, and genes responsive to food. mRNA in situ hybridization of c-jun revealed that brain regions responsive to differences in food type were mostly different from regions responsive to differences in food value, except those dorsal and lateral to the mushroom body calyces, which responded to all three. Transcriptomic profiles of the mushroom bodies generated by RNA sequencing gave the following results: (1) responses to differences in food type or value included a subset of molecular pathways involved in the response to food reward; (2) genes responsive to food reward, food type and food value were enriched for (the Gene Ontology categories) mitochondrial and endoplasmic reticulum activity; (3) genes responsive to only food and food type were enriched for regulation of transcription and translation; and (4) genes responsive to only food and food value were enriched for regulation of neuronal signaling. These results reveal how activities necessary for colony survival are channeled through the reward system of individual honey bees.
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Affiliation(s)
- M S McNeill
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - K M Kapheim
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Biology, Utah State University, Logan, UT, USA
| | - A Brockmann
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
| | - T A W McGill
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - G E Robinson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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25
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Abstract
One of the hallmarks of eusociality is that workers forego their own reproduction to assist their mother in raising siblings. This seemingly altruistic behaviour may benefit workers if gains in indirect fitness from rearing siblings outweigh the loss of direct fitness. If worker presence is advantageous to mothers, however, eusociality may evolve without net benefits to workers. Indirect fitness benefits are often cited as evidence for the importance of inclusive fitness in eusociality, but have rarely been measured in natural populations. We compared inclusive fitness of alternative social strategies in the tropical sweat bee, Megalopta genalis, for which eusociality is optional. Our results show that workers have significantly lower inclusive fitness than females that found their own nests. In mathematical simulations based on M. genalis field data, eusociality cannot evolve with reduced intra-nest relatedness. The simulated distribution of alternative social strategies matched observed distributions of M. genalis social strategies when helping behaviour was simulated as the result of maternal manipulation, but not as worker altruism. Thus, eusociality in M. genalis is best explained through kin selection, but the underlying mechanism is likely maternal manipulation.
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Affiliation(s)
- Karen M Kapheim
- Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT 84322-5305, USA
| | - Peter Nonacs
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, 621 Charles E. Young Drive South, Los Angeles, CA 90095, USA
| | - Adam R Smith
- Department of Biological Sciences, George Washington University, Washington, DC 20052, USA
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, 621 Charles E. Young Drive South, Los Angeles, CA 90095, USA
| | - William T Wcislo
- Smithsonian Tropical Research Institute, Apartado 0843, Balboa, Republic of Panama
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Kapheim KM, Pan H, Li C, Salzberg SL, Puiu D, Magoc T, Robertson HM, Hudson ME, Venkat A, Fischman BJ, Hernandez A, Yandell M, Ence D, Holt C, Yocum GD, Kemp WP, Bosch J, Waterhouse RM, Zdobnov EM, Stolle E, Kraus FB, Helbing S, Moritz RFA, Glastad KM, Hunt BG, Goodisman MAD, Hauser F, Grimmelikhuijzen CJP, Pinheiro DG, Nunes FMF, Soares MPM, Tanaka ÉD, Simões ZLP, Hartfelder K, Evans JD, Barribeau SM, Johnson RM, Massey JH, Southey BR, Hasselmann M, Hamacher D, Biewer M, Kent CF, Zayed A, Blatti C, Sinha S, Johnston JS, Hanrahan SJ, Kocher SD, Wang J, Robinson GE, Zhang G. Social evolution. Genomic signatures of evolutionary transitions from solitary to group living. Science 2015; 348:1139-43. [PMID: 25977371 DOI: 10.1126/science.aaa4788] [Citation(s) in RCA: 234] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 05/06/2015] [Indexed: 12/14/2022]
Abstract
The evolution of eusociality is one of the major transitions in evolution, but the underlying genomic changes are unknown. We compared the genomes of 10 bee species that vary in social complexity, representing multiple independent transitions in social evolution, and report three major findings. First, many important genes show evidence of neutral evolution as a consequence of relaxed selection with increasing social complexity. Second, there is no single road map to eusociality; independent evolutionary transitions in sociality have independent genetic underpinnings. Third, though clearly independent in detail, these transitions do have similar general features, including an increase in constrained protein evolution accompanied by increases in the potential for gene regulation and decreases in diversity and abundance of transposable elements. Eusociality may arise through different mechanisms each time, but would likely always involve an increase in the complexity of gene networks.
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Affiliation(s)
- Karen M Kapheim
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Biology, Utah State University, Logan, UT 84322, USA.
| | - Hailin Pan
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083, China
| | - Cai Li
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083, China. Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Steven L Salzberg
- Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD 21218, USA. Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Daniela Puiu
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tanja Magoc
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hugh M Robertson
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Matthew E Hudson
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Aarti Venkat
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Brielle J Fischman
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Program in Ecology and Evolutionary Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Biology, Hobart and William Smith Colleges, Geneva, NY 14456, USA
| | - Alvaro Hernandez
- Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Mark Yandell
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA. USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT 84112, USA
| | - Daniel Ence
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
| | - Carson Holt
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA. USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT 84112, USA
| | - George D Yocum
- U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS) Red River Valley Agricultural Research Center, Biosciences Research Laboratory, Fargo, ND 58102, USA
| | - William P Kemp
- U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS) Red River Valley Agricultural Research Center, Biosciences Research Laboratory, Fargo, ND 58102, USA
| | - Jordi Bosch
- Center for Ecological Research and Forestry Applications (CREAF), Universitat Autonoma de Barcelona, 08193 Bellaterra, Spain
| | - Robert M Waterhouse
- Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Evgeny M Zdobnov
- Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland
| | - Eckart Stolle
- Institute of Biology, Department Zoology, Martin-Luther-University Halle-Wittenberg, Hoher Weg 4, D-06099 Halle (Saale), Germany. Queen Mary University of London, School of Biological and Chemical Sciences Organismal Biology Research Group, London E1 4NS, UK
| | - F Bernhard Kraus
- Institute of Biology, Department Zoology, Martin-Luther-University Halle-Wittenberg, Hoher Weg 4, D-06099 Halle (Saale), Germany. Department of Laboratory Medicine, University Hospital Halle, Ernst Grube Strasse 40, D-06120 Halle (Saale), Germany
| | - Sophie Helbing
- Institute of Biology, Department Zoology, Martin-Luther-University Halle-Wittenberg, Hoher Weg 4, D-06099 Halle (Saale), Germany
| | - Robin F A Moritz
- Institute of Biology, Department Zoology, Martin-Luther-University Halle-Wittenberg, Hoher Weg 4, D-06099 Halle (Saale), Germany. German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany
| | - Karl M Glastad
- School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Brendan G Hunt
- Department of Entomology, University of Georgia, Griffin, GA 30223, USA
| | | | - Frank Hauser
- Center for Functional and Comparative Insect Genomics, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Cornelis J P Grimmelikhuijzen
- Center for Functional and Comparative Insect Genomics, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Guariz Pinheiro
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil. Departamento de Tecnologia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (UNESP), 14884-900 Jaboticabal, SP, Brazil
| | - Francis Morais Franco Nunes
- Departamento de Genética e Evolução, Centro de Ciências Biológicas e da Saúde, Universidade Federal de São Carlos, 13565-905 São Carlos, SP, Brazil
| | - Michelle Prioli Miranda Soares
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil
| | - Érica Donato Tanaka
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14049-900 Ribeirão Preto, SP, Brazil
| | - Zilá Luz Paulino Simões
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 14040-901 Ribeirão Preto, SP, Brazil
| | - Klaus Hartfelder
- Departamento de Biologia Celular e Molecular e Bioagentes Patogênicos, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 14049-900 Ribeirão Preto, SP, Brazil
| | - Jay D Evans
- USDA-ARS Bee Research Lab, Beltsville, MD 20705 USA
| | - Seth M Barribeau
- Department of Biology, East Carolina University, Greenville, NC 27858, USA
| | - Reed M Johnson
- Department of Entomology, Ohio Agricultural Research and Development Center, Ohio State University, Wooster, OH 44691, USA
| | - Jonathan H Massey
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bruce R Southey
- Department of Animal Sciences, University of Illinois, Urbana, IL 61801, USA
| | - Martin Hasselmann
- Department of Population Genomics, Institute of Animal Husbandry and Animal Breeding, University of Hohenheim, Germany
| | - Daniel Hamacher
- Department of Population Genomics, Institute of Animal Husbandry and Animal Breeding, University of Hohenheim, Germany
| | - Matthias Biewer
- Department of Population Genomics, Institute of Animal Husbandry and Animal Breeding, University of Hohenheim, Germany
| | - Clement F Kent
- Department of Biology, York University, Toronto, ON M3J 1P3, Canada. Janelia Farm Research Campus, Howard Hughes Medical Institue, Ashburn, VA 20147, USA
| | - Amro Zayed
- Department of Biology, York University, Toronto, ON M3J 1P3, Canada
| | - Charles Blatti
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Saurabh Sinha
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Shawn J Hanrahan
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Sarah D Kocher
- Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA 02138, USA
| | - Jun Wang
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083, China. Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Macau University of Science and Technology, Avenida Wai long, Taipa, Macau 999078, China. Department of Medicine, University of Hong Kong, Hong Kong.
| | - Gene E Robinson
- Carl R. WoeseInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Center for Advanced Study Professor in Entomology and Neuroscience, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
| | - Guojie Zhang
- China National GeneBank, BGI-Shenzhen, Shenzhen, 518083, China. Centre for Social Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, DK-2100 Copenhagen, Denmark.
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Kapheim KM, Rao VD, Yeoman CJ, Wilson BA, White BA, Goldenfeld N, Robinson GE. Caste-specific differences in hindgut microbial communities of honey bees (Apis mellifera). PLoS One 2015; 10:e0123911. [PMID: 25874551 PMCID: PMC4398325 DOI: 10.1371/journal.pone.0123911] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Accepted: 02/24/2015] [Indexed: 01/01/2023] Open
Abstract
Host-symbiont dynamics are known to influence host phenotype, but their role in social behavior has yet to be investigated. Variation in life history across honey bee (Apis mellifera) castes may influence community composition of gut symbionts, which may in turn influence caste phenotypes. We investigated the relationship between host-symbiont dynamics and social behavior by characterizing the hindgut microbiome among distinct honey bee castes: queens, males and two types of workers, nurses and foragers. Despite a shared hive environment and mouth-to-mouth food transfer among nestmates, we detected separation among gut microbiomes of queens, workers, and males. Gut microbiomes of nurses and foragers were similar to previously characterized honey bee worker microbiomes and to each other, despite differences in diet, activity, and exposure to the external environment. Queen microbiomes were enriched for bacteria that may enhance metabolic conversion of energy from food to egg production. We propose that the two types of workers, which have the highest diversity of operational taxonomic units (OTUs) of bacteria, are central to the maintenance of the colony microbiome. Foragers may introduce new strains of bacteria to the colony from the environment and transfer them to nurses, who filter and distribute them to the rest of the colony. Our results support the idea that host-symbiont dynamics influence microbiome composition and, reciprocally, host social behavior.
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Affiliation(s)
- Karen M. Kapheim
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Entomology, 505 S. Goodwin Ave., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Biology, 5305 Old Main Hill, Utah State University, Logan, UT 84341 United States of America
- * E-mail:
| | - Vikyath D. Rao
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Physics, 1110 W. Green St., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
| | - Carl J. Yeoman
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Animal and Range Sciences, Montana State University, P.O. Box 172900, Bozeman, MT 59717, United States of America
| | - Brenda A. Wilson
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Microbiology, 601 S. Goodwin Ave., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
| | - Bryan A. White
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Animal Sciences, 1207 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
| | - Nigel Goldenfeld
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Physics, 1110 W. Green St., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
| | - Gene E. Robinson
- Institute for Genomic Biology, 1206 W. Gregory Dr., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
- Department of Entomology, 505 S. Goodwin Ave., University of Illinois at Urbana-Champaign, Urbana, IL 61801 United States of America
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Smith AR, Kapheim KM, Pérez-Ortega B, Brent CS, Wcislo WT. Juvenile hormone levels reflect social opportunities in the facultatively eusocial sweat bee Megalopta genalis (Hymenoptera: Halictidae). Horm Behav 2013; 63:1-4. [PMID: 22986338 DOI: 10.1016/j.yhbeh.2012.08.012] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2012] [Revised: 08/30/2012] [Accepted: 08/30/2012] [Indexed: 11/21/2022]
Abstract
The evolution of eusociality is hypothesized to have involved de-coupling parental care from reproduction mediated by changes in endocrine regulation. While data for obligately eusocial insects are consistent with this hypothesis, we lack information from species representative of the transition from solitary reproduction to eusociality. Here we report the first evidence for a link between endocrine processes and social behavior in a facultatively eusocial bee, Megalopta genalis (Halictidae). Using females that varied in social, reproductive, and ecological context, we measured juvenile hormone (JH), a major regulator of colony caste dynamics in other eusocial species. JH was low at adult emergence, but elevated after 10 days in all nesting females. Females reared in cages with ad lib nutrition, however, did not elevate JH levels after 10 days. All reproductive females had significantly more JH than all age-matched non-reproductive females, suggesting a gonadotropic function. Among females in established nests, JH was higher in queens than workers and solitary reproductives, suggesting a role for JH in social dominance. A lack of significant differences in JH between solitary reproductives and non-reproductive workers suggests that JH content reflects more than reproductive status. Our data support the hypothesis that endocrine modifications are involved in the evolutionary decoupling of reproductive and somatic effort in social insects. These are the first measurements of JH in a solitary-nesting hymenopteran, and the first to compare eusocial and solitary nesting individuals of the same species.
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Affiliation(s)
- Adam R Smith
- Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Panama.
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Kapheim KM, Smith AR, Nonacs P, Wcislo WT, Wayne RK. Foundress polyphenism and the origins of eusociality in a facultatively eusocial sweat bee, Megalopta genalis (Halictidae). Behav Ecol Sociobiol 2012. [DOI: 10.1007/s00265-012-1453-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kapheim KM, Smith AR, Ihle KE, Amdam GV, Nonacs P, Wcislo WT. Physiological variation as a mechanism for developmental caste-biasing in a facultatively eusocial sweat bee. Proc Biol Sci 2012; 279:1437-46. [PMID: 22048951 PMCID: PMC3282364 DOI: 10.1098/rspb.2011.1652] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2011] [Accepted: 10/13/2011] [Indexed: 11/12/2022] Open
Abstract
Social castes of eusocial insects may have arisen through an evolutionary modification of an ancestral reproductive ground plan, such that some adults emerge from development physiologically primed to specialize on reproduction (queens) and others on maternal care expressed as allo-maternal behaviour (workers). This hypothesis predicts that variation in reproductive physiology should emerge from ontogeny and underlie division of labour. To test these predictions, we identified physiological links to division of labour in a facultatively eusocial sweat bee, Megalopta genalis. Queens are larger, have larger ovaries and have higher vitellogenin titres than workers. We then compared queens and workers with their solitary counterparts-solitary reproductive females and dispersing nest foundresses-to investigate physiological variation as a factor in caste evolution. Within dyads, body size and ovary development were the best predictors of behavioural class. Queens and dispersers are larger, with larger ovaries than their solitary counterparts. Finally, we raised bees in social isolation to investigate the influence of ontogeny on physiological variation. Body size and ovary development among isolated females were highly variable, and linked to differences in vitellogenin titres. As these are key physiological predictors of social caste, our results provide evidence for developmental caste-biasing in a facultatively eusocial bee.
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Affiliation(s)
- Karen M Kapheim
- Department of Ecology and Evolutionary Biology, University of California, 621 Charles E. Young Dr. South, Los Angeles, CA 90095, USA.
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Kapheim KM, Pollinger JP, Wcislo WT, Wayne RK. Characterization of 12 polymorphic microsatellite markers for a facultatively eusocial sweat bee (Megalopta genalis). Mol Ecol Resour 2009; 9:1527-9. [PMID: 21564949 DOI: 10.1111/j.1755-0998.2009.02693.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We developed a library of twelve polymorphic di- and tri-nucleotide microsatellite markers for Megalopta genalis, a facultatively eusocial sweat bee. We tested each locus in a panel of 23 unrelated females and found 7-20 alleles per locus. Observed and expected heterozygosities ranged from 0.65 to 0.96 and from 0.69 to 0.95 respectively. None of the loci deviated from Hardy-Weinberg equilibrium proportions or was found to be in gametic disequilibrium.
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Affiliation(s)
- Karen M Kapheim
- Department of Ecology and Evolutionary Biology, 621 Charles E. Young Dr. South, University of California, Los Angeles, CA 90095 USA Smithsonian Tropical Research Institute, Box 0843-03092, Balboa, Ancon, Republic of Panama
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Abstract
Genetic diversity in species is often high in spite of directional selection or strong genetic drift. One resolution to this paradox may be through fitness benefits arising from interactions of genetically diverse individuals. Advantageous phenotypes that are impossible in single individuals (e.g. being simultaneously bold and shy) can be expressed by groups composed of genetically different individuals. Genetic diversity, therefore, can produce mutualistic benefits shared by all group members. We define this effect as 'social heterosis', and mathematically demonstrate maintenance of allelic diversity when diverse groups or neighbourhoods are more reproductively successful than homogenous ones. Through social heterosis, genetic diversity persists without: frequency dependence within groups, migration, balancing selection, genetic linkages, overdominance, antagonistic pleiotropy or nonrandom allele assortment. Social heterosis may also offer an alternative evolutionary pathway to cooperation that does not require clustering of related individuals, nepotistic favouritism towards kin, or overt reciprocity.
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Affiliation(s)
- P Nonacs
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
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