1
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Errbii M, Gadau J, Becker K, Schrader L, Oettler J. Causes and consequences of a complex recombinational landscape in the ant Cardiocondyla obscurior. Genome Res 2024; 34:863-876. [PMID: 38839375 PMCID: PMC11293551 DOI: 10.1101/gr.278392.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 05/30/2024] [Indexed: 06/07/2024]
Abstract
Eusocial Hymenoptera have the highest recombination rates among all multicellular animals studied so far, but it is unclear why this is and how this affects the biology of individual species. A high-resolution linkage map for the ant Cardiocondyla obscurior corroborates genome-wide high recombination rates reported for ants (8.1 cM/Mb). However, recombination is locally suppressed in regions that are enriched with TEs, that have strong haplotype divergence, or that show signatures of epistatic selection in C. obscurior The results do not support the hypotheses that high recombination rates are linked to phenotypic plasticity or to modulating selection efficiency. Instead, genetic diversity and the frequency of structural variants correlate positively with local recombination rates, potentially compensating for the low levels of genetic variation expected in haplodiploid social Hymenoptera with low effective population size. Ultimately, the data show that recombination contributes to within-population polymorphism and to the divergence of the lineages within C. obscurior.
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Affiliation(s)
- Mohammed Errbii
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Jürgen Gadau
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Kerstin Becker
- Cologne Center for Genomics (CCG), Medical Faculty, University of Cologne, 50931 Cologne, Germany
| | - Lukas Schrader
- Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany;
| | - Jan Oettler
- Lehrstuhl für Zoologie/Evolutionsbiologie, University Regensburg, 93053 Regensburg, Germany
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2
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Waiker P, de Abreu FCP, Luna-Lucena D, Freitas FCP, Simões ZLP, Rueppell O. Recombination mapping of the Brazilian stingless bee Frieseomelitta varia confirms high recombination rates in social hymenoptera. BMC Genomics 2021; 22:673. [PMID: 34536998 PMCID: PMC8449902 DOI: 10.1186/s12864-021-07987-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 09/04/2021] [Indexed: 11/26/2022] Open
Abstract
Background Meiotic recombination is a fundamental genetic process that shuffles allele combinations and promotes accurate segregation of chromosomes. Analyses of the ubiquitous variation of recombination rates within and across species suggest that recombination is evolving adaptively. All studied insects with advanced eusociality have shown exceptionally high recombination rates, which may represent a prominent case of adaptive evolution of recombination. However, our understanding of the relationship between social evolution and recombination rates is incomplete, partly due to lacking empirical data. Here, we present a linkage map of the monandrous, advanced eusocial Brazilian stingless bee, Frieseomelitta varia, providing the first recombination analysis in the diverse Meliponini (Hymenoptera, Apidae). Results Our linkage map includes 1417 markers in 19 linkage groups. This map spans approximately 2580 centimorgans, and comparisons to the physical genome assembly indicate that it covers more than 75 % of the 275 Megabasepairs (Mbp) F. varia genome. Thus, our study results in a genome-wide recombination rate estimate of 9.3–12.5 centimorgan per Mbp. This value is higher than estimates from nonsocial insects and comparable to other highly social species, although it does not support our prediction that monandry and strong queen-worker caste divergence of F. varia lead to even higher recombination rates than other advanced eusocial species. Conclusions Our study expands the association between elevated recombination and sociality in the order Hymenoptera and strengthens the support for the hypothesis that advanced social evolution in hymenopteran insects invariably selects for high genomic recombination rates. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07987-3.
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Affiliation(s)
- Prashant Waiker
- Biology Department, University of North Carolina at Greensboro, 321 McIver St, Greensboro, NC, 27412, USA.
| | - Fabiano Carlos Pinto de Abreu
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, SP, Ribeirão Preto, Brazil
| | - Danielle Luna-Lucena
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Flávia Cristina Paula Freitas
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.,Departamento de Biologia Celular e do Desenvolvimento, Instituto de Ciências Biomédicas, Universidade Federal de Alfenas, Alfenas, MG, Brazil
| | - Zilá Luz Paulino Simões
- Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, SP, Ribeirão Preto, Brazil
| | - Olav Rueppell
- Biology Department, University of North Carolina at Greensboro, 321 McIver St, Greensboro, NC, 27412, USA.,Department of Biological Sciences, University of Alberta, AB, T6G 2E9, Edmonton, Canada
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3
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Fouks B, Brand P, Nguyen HN, Herman J, Camara F, Ence D, Hagen DE, Hoff KJ, Nachweide S, Romoth L, Walden KKO, Guigo R, Stanke M, Narzisi G, Yandell M, Robertson HM, Koeniger N, Chantawannakul P, Schatz MC, Worley KC, Robinson GE, Elsik CG, Rueppell O. The genomic basis of evolutionary differentiation among honey bees. Genome Res 2021; 31:1203-1215. [PMID: 33947700 PMCID: PMC8256857 DOI: 10.1101/gr.272310.120] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 04/22/2021] [Indexed: 02/06/2023]
Abstract
In contrast to the western honey bee, Apis mellifera, other honey bee species have been largely neglected despite their importance and diversity. The genetic basis of the evolutionary diversification of honey bees remains largely unknown. Here, we provide a genome-wide comparison of three honey bee species, each representing one of the three subgenera of honey bees, namely the dwarf (Apis florea), giant (A. dorsata), and cavity-nesting (A. mellifera) honey bees with bumblebees as an outgroup. Our analyses resolve the phylogeny of honey bees with the dwarf honey bees diverging first. We find that evolution of increased eusocial complexity in Apis proceeds via increases in the complexity of gene regulation, which is in agreement with previous studies. However, this process seems to be related to pathways other than transcriptional control. Positive selection patterns across Apis reveal a trade-off between maintaining genome stability and generating genetic diversity, with a rapidly evolving piRNA pathway leading to genomes depleted of transposable elements, and a rapidly evolving DNA repair pathway associated with high recombination rates in all Apis species. Diversification within Apis is accompanied by positive selection in several genes whose putative functions present candidate mechanisms for lineage-specific adaptations, such as migration, immunity, and nesting behavior.
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Affiliation(s)
- Bertrand Fouks
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
- Institute for Evolution and Biodiversity, Molecular Evolution and Bioinformatics, Westfälische Wilhelms-Universität, 48149 Münster, Germany
| | - Philipp Brand
- Department of Evolution and Ecology, Center for Population Biology, University of California, Davis, Davis, California 95161, USA
- Laboratory of Neurophysiology and Behavior, The Rockefeller University, New York, New York 10065, USA
| | - Hung N Nguyen
- MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA
| | - Jacob Herman
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
| | - Francisco Camara
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08036 Barcelona, Spain
| | - Daniel Ence
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida 32611, USA
- Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - Katharina J Hoff
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
- University of Greifswald, Center for Functional Genomics of Microbes, 17489 Greifswald, Germany
| | - Stefanie Nachweide
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
| | - Lars Romoth
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
| | - Kimberly K O Walden
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Roderic Guigo
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08036 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
| | - Mario Stanke
- University of Greifswald, Institute for Mathematics and Computer Science, Bioinformatics Group, 17489 Greifswald, Germany
- University of Greifswald, Center for Functional Genomics of Microbes, 17489 Greifswald, Germany
| | | | - Mark Yandell
- Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, Utah 84112, USA
| | - Hugh M Robertson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Nikolaus Koeniger
- Department of Behavioral Physiology and Sociobiology (Zoology II), University of Würzburg, 97074 Würzburg, Germany
| | - Panuwan Chantawannakul
- Environmental Science Research Center (ESRC) and Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Michael C Schatz
- Departments of Computer Science and Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Kim C Worley
- Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Gene E Robinson
- Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Christine G Elsik
- MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri 65211, USA
- Division of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA
- Division of Plant Sciences, University of Missouri, Columbia, Missouri 65211, USA
| | - Olav Rueppell
- Department of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina 27403, USA
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
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4
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Ostevik KL, Samuk K, Rieseberg LH. Ancestral Reconstruction of Karyotypes Reveals an Exceptional Rate of Nonrandom Chromosomal Evolution in Sunflower. Genetics 2020; 214:1031-1045. [PMID: 32033968 PMCID: PMC7153943 DOI: 10.1534/genetics.120.303026] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 02/03/2020] [Indexed: 12/20/2022] Open
Abstract
Mapping the chromosomal rearrangements between species can inform our understanding of genome evolution, reproductive isolation, and speciation. Here, we present a novel algorithm for identifying regions of synteny in pairs of genetic maps, which is implemented in the accompanying R package syntR. The syntR algorithm performs as well as previous ad hoc methods while being systematic, repeatable, and applicable to mapping chromosomal rearrangements in any group of species. In addition, we present a systematic survey of chromosomal rearrangements in the annual sunflowers, which is a group known for extreme karyotypic diversity. We build high-density genetic maps for two subspecies of the prairie sunflower, Helianthus petiolaris ssp. petiolaris and H. petiolaris ssp. fallax Using syntR, we identify blocks of synteny between these two subspecies and previously published high-density genetic maps. We reconstruct ancestral karyotypes for annual sunflowers using those synteny blocks and conservatively estimate that there have been 7.9 chromosomal rearrangements per million years, a high rate of chromosomal evolution. Although the rate of inversion is even higher than the rate of translocation in this group, we further find that every extant karyotype is distinguished by between one and three translocations involving only 8 of the 17 chromosomes. This nonrandom exchange suggests that specific chromosomes are prone to translocation and may thus contribute disproportionately to widespread hybrid sterility in sunflowers. These data deepen our understanding of chromosome evolution and confirm that Helianthus has an exceptional rate of chromosomal rearrangement that may facilitate similarly rapid diversification.
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Affiliation(s)
- Kate L Ostevik
- Department of Biology, Duke University, Durham, North Carolina 27701
- Department of Botany, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Kieran Samuk
- Department of Biology, Duke University, Durham, North Carolina 27701
| | - Loren H Rieseberg
- Department of Botany, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
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5
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DeLory T, Funderburk K, Miller K, Smith WZ, McPherson S, Pirk CW, Costa C, Teixeira ÉW, Dahle B, Rueppell O. Local Variation in Recombination Rates of the Honey Bee ( Apis mellifera) Genome among Samples from Six Disparate Populations. INSECTES SOCIAUX 2020; 67:127-138. [PMID: 33311731 PMCID: PMC7732154 DOI: 10.1007/s00040-019-00736-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Meiotic recombination is an essential component of eukaryotic sexual reproduction but its frequency varies within and between genomes. Although it is well-established that honey bees have a high recombination rate with about 20 cM/Mbp, the proximate and ultimate causes of this exceptional rate are poorly understood. Here, we describe six linkage maps of the Western Honey Bee Apis mellifera that were produced with consistent methodology from samples from distinct parts of the species' near global distribution. We compared the genome-wide rates and distribution of meiotic crossovers among the six maps and found considerable differences. Overall similarity of local recombination rates among our samples was unrelated to geographic or phylogenetic distance of the populations that our samples were derived from. However, the limited sampling constrains the interpretation of our results because it is unclear how representative these samples are. In contrast to previous studies, we found only in two datasets a significant relation between local recombination rate and GC content. Focusing on regions of particularly increased or decreased recombination in specific maps, we identified several enriched gene ontologies in these regions and speculate about their local adaptive relevance. These data are contributing to an increasing comparative effort to gain an understanding of the intra-specific variability of recombination rates and their evolutionary role in honey bees and other social insects.
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Affiliation(s)
- Timothy DeLory
- Department of Biology, University of North Carolina at Greensboro, NC, USA
- Current address: Department of Biology, Utah State University, 5305 Old Main Hill, Logan, UT, USA
| | - Karen Funderburk
- Department of Biology, University of North Carolina at Greensboro, NC, USA
- Current address: Applied Mathematics for the Life & Social Sciences, College of Liberal Arts and Sciences, Arizona State University, Tempe, AZ, USA
| | - Katelyn Miller
- Department of Biology, University of North Carolina at Greensboro, NC, USA
| | | | - Samantha McPherson
- Department of Biology, University of North Carolina at Greensboro, NC, USA
- Current address: Current address: NCSU Department of Entomology & Plant Pathology, Campus Box 7613, 100 Derieux Place, Raleigh, NC, USA
| | - Christian W. Pirk
- Social Insects Research Group, Department of Zoology & Entomology, University of Pretoria, South Africa
| | - Cecilia Costa
- Consiglio per la Ricerca in Agricolturae l’Analisi dell’Economia Agraria, Via Po, 14 - 00198 Rome, Italy
| | - Érica Weinstein Teixeira
- Honey Bee Health Specialized Laboratory, Biological Institute, São Paulo State Agribusiness Technology Agency, Av. Prof. Manoel César Ribeiro, 1920, Pindamonhangaba, São Paulo 12411-010, Brazil
| | - Bjørn Dahle
- Norwegian Beekeepers Association, Kløfta, Norway
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Olav Rueppell
- Department of Biology, University of North Carolina at Greensboro, NC, USA
- Corresponding author: 312 Eberhart Bldg, 321 McIver Street, Greensboro NC 27403, USA. Phone: (+1) 336-2562591,
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6
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Brand P, Ramírez SR. The Evolutionary Dynamics of the Odorant Receptor Gene Family in Corbiculate Bees. Genome Biol Evol 2018; 9:2023-2036. [PMID: 28854688 PMCID: PMC5597890 DOI: 10.1093/gbe/evx149] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2017] [Indexed: 12/24/2022] Open
Abstract
Insects rely on chemical information to locate food, choose mates, and detect potential predators. It has been hypothesized that adaptive changes in the olfactory system facilitated the diversification of numerous insect lineages. For instance, evolutionary changes of Odorant Receptor (OR) genes often occur in parallel with modifications in life history strategies. Corbiculate bees display a diverse array of behaviors that are controlled through olfaction, including varying degrees of social organization, and manifold associations with floral resources. Here we investigated the molecular mechanisms driving the evolution of the OR gene family in corbiculate bees in comparison to other chemosensory gene families. Our results indicate that the genomic organization of the OR gene family has remained highly conserved for ∼80 Myr, despite exhibiting major changes in repertoire size among bee lineages. Moreover, the evolution of OR genes appears to be driven mostly by lineage-specific gene duplications in few genomic regions that harbor large numbers of OR genes. A selection analysis revealed that OR genes evolve under positive selection, with the strongest signals detected in recently duplicated copies. Our results indicate that chromosomal translocations had a minimal impact on OR evolution, and instead local molecular mechanisms appear to be main drivers of OR repertoire size. Our results provide empirical support to the longstanding hypothesis that positive selection shaped the diversification of the OR gene family. Together, our results shed new light on the molecular mechanisms underlying the evolution of olfaction in insects.
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Affiliation(s)
- Philipp Brand
- Department for Evolution and Ecology, Center for Population Biology, University of California, Davis.,Population Biology Graduate Group, Center for Population Biology, University of California, Davis
| | - Santiago R Ramírez
- Department for Evolution and Ecology, Center for Population Biology, University of California, Davis
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7
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Haag CR, Theodosiou L, Zahab R, Lenormand T. Low recombination rates in sexual species and sex-asex transitions. Philos Trans R Soc Lond B Biol Sci 2017; 372:20160461. [PMID: 29109224 PMCID: PMC5698623 DOI: 10.1098/rstb.2016.0461] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2017] [Indexed: 12/11/2022] Open
Abstract
In most sexual, diploid eukaryotes, at least one crossover occurs between each pair of homologous chromosomes during meiosis, presumably in order to ensure proper segregation. Well-known exceptions to this rule are species in which one sex does not recombine and specific chromosomes lacking crossover. We review other possible exceptions, including species with chromosome maps of less than 50 cM in one or both sexes. We discuss the idea that low recombination rates may favour sex-asex transitions, or, alternatively may be a consequence of it. We then show that a yet undescribed species of brine shrimp Artemia from Kazakhstan (A sp. Kazakhstan), the closest known relative of the asexual Artemia parthenogenetica, has one of the shortest genetic linkage maps known. Based on a family of 42 individuals and 589 RAD markers, we find that many linkage groups are considerably shorter than 50 cM, suggesting either no obligate crossover or crossovers concentrated at terminal positions with little effect on recombination. We contrast these findings with the published map of the more distantly related sexual congener, A. franciscana, and conclude that the study of recombination in non-model systems is important to understand the evolutionary causes and consequences of recombination.This article is part of the themed issue 'Evolutionary causes and consequences of recombination rate variation in sexual organisms'.
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Affiliation(s)
- Christoph R Haag
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE)-Unité Mixte de Recherche 5175, Centre National de la Recherche Scientifique (CNRS), Université de Montpellier-Université Paul-Valéry Montpellier-École Pratique des Hautes Études, 1919 Route de Mende, 34293 Montpellier Cedex 5, France
| | - Loukas Theodosiou
- Research Group for Community Dynamics, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306 Plön, Germany
| | - Roula Zahab
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE)-Unité Mixte de Recherche 5175, Centre National de la Recherche Scientifique (CNRS), Université de Montpellier-Université Paul-Valéry Montpellier-École Pratique des Hautes Études, 1919 Route de Mende, 34293 Montpellier Cedex 5, France
| | - Thomas Lenormand
- Centre d'Ecologie Fonctionnelle et Evolutive (CEFE)-Unité Mixte de Recherche 5175, Centre National de la Recherche Scientifique (CNRS), Université de Montpellier-Université Paul-Valéry Montpellier-École Pratique des Hautes Études, 1919 Route de Mende, 34293 Montpellier Cedex 5, France
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