1
|
Minadakis N, Kaderli L, Horvath R, Bourgeois Y, Xu W, Thieme M, Woods DP, Roulin AC. Polygenic architecture of flowering time and its relationship with local environments in the grass Brachypodium distachyon. Genetics 2024; 227:iyae042. [PMID: 38504651 PMCID: PMC11075549 DOI: 10.1093/genetics/iyae042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 01/12/2024] [Accepted: 03/07/2024] [Indexed: 03/21/2024] Open
Abstract
Synchronizing the timing of reproduction with the environment is crucial in the wild. Among the multiple mechanisms, annual plants evolved to sense their environment, the requirement of cold-mediated vernalization is a major process that prevents individuals from flowering during winter. In many annual plants including crops, both a long and short vernalization requirement can be observed within species, resulting in so-called early-(spring) and late-(winter) flowering genotypes. Here, using the grass model Brachypodium distachyon, we explored the link between flowering-time-related traits (vernalization requirement and flowering time), environmental variation, and diversity at flowering-time genes by combining measurements under greenhouse and outdoor conditions. These experiments confirmed that B. distachyon natural accessions display large differences regarding vernalization requirements and ultimately flowering time. We underline significant, albeit quantitative effects of current environmental conditions on flowering-time-related traits. While disentangling the confounding effects of population structure on flowering-time-related traits remains challenging, population genomics analyses indicate that well-characterized flowering-time genes may contribute significantly to flowering-time variation and display signs of polygenic selection. Flowering-time genes, however, do not colocalize with genome-wide association peaks obtained with outdoor measurements, suggesting that additional genetic factors contribute to flowering-time variation in the wild. Altogether, our study fosters our understanding of the polygenic architecture of flowering time in a natural grass system and opens new avenues of research to investigate the gene-by-environment interaction at play for this trait.
Collapse
Affiliation(s)
- Nikolaos Minadakis
- Department of Plant and Microbial Biology, University of Zürich, Zollikerstr. 107, 8008 Zürich, Switzerland
| | - Lars Kaderli
- Department of Plant and Microbial Biology, University of Zürich, Zollikerstr. 107, 8008 Zürich, Switzerland
| | - Robert Horvath
- Department of Plant and Microbial Biology, University of Zürich, Zollikerstr. 107, 8008 Zürich, Switzerland
| | - Yann Bourgeois
- DIADE, University of Montpellier, CIRAD, IRD, 34 000 Montpellier, France
| | - Wenbo Xu
- Department of Plant and Microbial Biology, University of Zürich, Zollikerstr. 107, 8008 Zürich, Switzerland
| | - Michael Thieme
- Department of Plant and Microbial Biology, University of Zürich, Zollikerstr. 107, 8008 Zürich, Switzerland
| | - Daniel P Woods
- Department of Plant Sciences, University of California-Davis, 104 Robbins Hall, Davis, CA 95616, USA
- Howard Hughes Medical Institute, 4000 Jones Bridge Rd, Chevy Chase, MD 20815, USA
| | - Anne C Roulin
- Department of Plant and Microbial Biology, University of Zürich, Zollikerstr. 107, 8008 Zürich, Switzerland
| |
Collapse
|
2
|
Toli EA, Kemppainen P, Bounas A, Sotiropoulos K. Genetic insight into a polygenic trait using a novel genome-wide association approach in a wild amphibian population. Mol Ecol 2024; 33:e17344. [PMID: 38597332 DOI: 10.1111/mec.17344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024]
Abstract
Body size variation is central in the evolution of life-history traits in amphibians, but the underlying genetic architecture of this complex trait is still largely unknown. Herein, we studied the genetic basis of body size and fecundity of the alternative morphotypes in a wild population of the Greek smooth newt (Lissotriton graecus). By combining a genome-wide association approach with linkage disequilibrium network analysis, we were able to identify clusters of highly correlated loci thus maximizing sequence data for downstream analysis. The putatively associated variants explained 12.8% to 44.5% of the total phenotypic variation in body size and were mapped to genes with functional roles in the regulation of gene expression and cell cycle processes. Our study is the first to provide insights into the genetic basis of complex traits in newts and provides a useful tool to identify loci potentially involved in fitness-related traits in small data sets from natural populations in non-model species.
Collapse
Affiliation(s)
- Elisavet-Aspasia Toli
- Molecular Ecology & Conservation Genetics Lab, Department of Biological Applications & Technology, University of Ioannina, Ioannina, Greece
| | - Petri Kemppainen
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong City, Hong Kong SAR
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland
| | - Anastasios Bounas
- Molecular Ecology & Conservation Genetics Lab, Department of Biological Applications & Technology, University of Ioannina, Ioannina, Greece
| | - Konstantinos Sotiropoulos
- Molecular Ecology & Conservation Genetics Lab, Department of Biological Applications & Technology, University of Ioannina, Ioannina, Greece
| |
Collapse
|
3
|
Wei L, Xiao W, Chen B, Zou Z, Zhu J, Li D, Yu J, Yang H. Single nucleotide polymorphisms in the MRFs gene family associated with growth in Nile tilapia. Mol Biol Rep 2024; 51:128. [PMID: 38236311 DOI: 10.1007/s11033-023-08955-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/17/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Muscle occupies most of the fish body, promoting the proliferation of fish muscle fibers can facilitate rapid growth and increase the body weight of fish. Some studiesSeveral previous suggest that Myogenic regulatory factors (MRFs) play an important role in the growth of fish. OBJECTIVE To investigate the association between the polymorphism of MRFs gene family and growth traits in Nile tilapia (Oreochromis niloticus), get more molecular markers for growth. METHODS Amplified the Nile tilapia MRFs family gene, including Myogenic determination 1 (Myod1), Myogenic determination 2 (Myod2), Myogenin (Myog), Myogenic factor 5 (Myf5), and Myogenic factor 6 (Myf6), single nucleotide polymorphism (SNP) were screened by Sanger sequencing. RESULTS A total of 16 SNP loci were screened, including six for Myf5, six for Myf6, one for Myog, one for Myod1 and two for Myod2. The growth traits were analyzed in relation to these 16 SNP loci, and the results indicated significant associations between all 16 SNP loci and the growth traits (P < 0.05). The linkage disequilibrium analysis revealed that D1 and D2 diplotypes of Myf5 gene, E1, E2, E3 and E4 of Myf6 gene, and F1 diplotype of Myod2 gene were significantly associated with superior growth traits. CONCLUSION There were 6, 6, 1, 1 and 2 growth-related molecular markers in Myf5, Myf6, Myog, Myod1 and Myod2 genes, respectively, which could be applied to the breeding of Nile tilapia.
Collapse
Affiliation(s)
- Longjie Wei
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China
| | - Wei Xiao
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China.
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China.
| | - Binglin Chen
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Zhiying Zou
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Jinglin Zhu
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Dayu Li
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Jie Yu
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China
| | - Hong Yang
- Wuxi Fisheries College, Nanjing Agricultural University, 214081, Wuxi, China.
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, 214081, Wuxi, China.
| |
Collapse
|
4
|
Gupta S, Harkess A, Soble A, Van Etten M, Leebens-Mack J, Baucom RS. Interchromosomal linkage disequilibrium and linked fitness cost loci associated with selection for herbicide resistance. THE NEW PHYTOLOGIST 2023; 238:1263-1277. [PMID: 36721257 DOI: 10.1111/nph.18782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The adaptation of weeds to herbicide is both a significant problem in agriculture and a model of rapid adaptation. However, significant gaps remain in our knowledge of resistance controlled by many loci and the evolutionary factors that influence the maintenance of resistance. Here, using herbicide-resistant populations of the common morning glory (Ipomoea purpurea), we perform a multilevel analysis of the genome and transcriptome to uncover putative loci involved in nontarget-site herbicide resistance (NTSR) and to examine evolutionary forces underlying the maintenance of resistance in natural populations. We found loci involved in herbicide detoxification and stress sensing to be under selection and confirmed that detoxification is responsible for glyphosate (RoundUp) resistance using a functional assay. We identified interchromosomal linkage disequilibrium (ILD) among loci under selection reflecting either historical processes or additive effects leading to the resistance phenotype. We further identified potential fitness cost loci that were strongly linked to resistance alleles, indicating the role of genetic hitchhiking in maintaining the cost. Overall, our work suggests that NTSR glyphosate resistance in I. purpurea is conferred by multiple genes which are potentially maintained through generations via ILD, and that the fitness cost associated with resistance in this species is likely a by-product of genetic hitchhiking.
Collapse
Affiliation(s)
- Sonal Gupta
- Ecology and Evolutionary Biology Department, University of Michigan, 4034 Biological Sciences Building, Ann Arbor, MI, 48109, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Alex Harkess
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA
| | - Anah Soble
- Ecology and Evolutionary Biology Department, University of Michigan, 4034 Biological Sciences Building, Ann Arbor, MI, 48109, USA
| | - Megan Van Etten
- Biology Department, Pennsylvania State University, Dunmore, PA, 18512, USA
| | - James Leebens-Mack
- Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA
| | - Regina S Baucom
- Ecology and Evolutionary Biology Department, University of Michigan, 4034 Biological Sciences Building, Ann Arbor, MI, 48109, USA
| |
Collapse
|
5
|
Characterizing phenotypic diversity in marine populations of the threespine stickleback. Sci Rep 2022; 12:17923. [PMID: 36289364 PMCID: PMC9606258 DOI: 10.1038/s41598-022-22872-z] [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: 10/19/2021] [Accepted: 10/20/2022] [Indexed: 01/20/2023] Open
Abstract
The threespine stickleback (Gasterosteus aculeatus) is an important model for studying the evolution of vertebrate morphology. Sticklebacks inhabit freshwater, brackish, and marine northern hemisphere waters. Anadromous and marine populations (hereafter marine) are assumed to have remained unchanged morphologically from ancestral marine sticklebacks, despite marine environments varying on regional and local scales. Recent studies suggest that genetic and phenotypic structure exists in marine populations, yet the scale of this variation, and its ecological causes remain unclear. Our goal was to assess morphological trait variation in marine stickleback populations around Southern British Columbia (BC) and determine if oceanographic and habitat characteristics were associated with this variation. Between May-July 2019, we sampled 534 sticklebacks from 15 sites around Vancouver Island, a region characterized by a large diversity of oceanographic and habitat features. We characterized trait variation using two-dimensional (2D) geometric morphometric analysis, comparing individuals between oceanographic regions and habitats. We focused on head and body shape. We found that marine sticklebacks varied morphologically among and between regions and habitats, but the variation did not appear to be related to environmental variation. Sexual dimorphism was the largest source of variation, but oceanographic and habitat variables influenced differences between sexes. We concluded that marine sticklebacks offer abundant opportunities for expanding our knowledge of drivers of morphology.
Collapse
|
6
|
Jing M, Chen Y, Yao K, Wang Y, Huang L. Comparative phylogeography of two commensal rat species ( Rattus tanezumi and Rattus norvegicus) in China: Insights from mitochondrial DNA, microsatellite, and 2b-RAD data. Ecol Evol 2022; 12:e9409. [PMID: 36254297 PMCID: PMC9557235 DOI: 10.1002/ece3.9409] [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: 04/22/2022] [Revised: 09/09/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
Rattus norvegicus and Rattus tanezumi are dominant species of Chinese house rats, but the colonization and demographic history of two species in China have not been thoroughly explored. Phylogenetic analyses with mitochondrial DNA including 486 individuals from 31 localities revealed that R. norvegicus is widely distributed in China, R. tanezumi is mainly distributed in southern China with currently invading northward; northeast China was the natal region of R. norvegicus, while the spread of R. tanezumi in China most likely started from the southeast coast. A total of 123 individuals from 18 localities were subjected to 2b-RAD analyses. In neighbor-joining tree, individuals of R. tanezumi grouped into geographic-specific branches, and populations from southeast coast were ancestral groups, which confirmed the colonization route from southeast coast to central and western China. However, individuals of R. norvegicus were generally grouped into two clusters instead of geographic-specific branches. One cluster comprised inland populations, and another cluster included both southeast coast and inland populations, which indicated that spread history of R. norvegicus in China was complex; in addition to on-land colonization, shipping transportation also have played great roles. ADMIXTURE and principal component analyses provided further supports for the colonization history. Demographic analyses revealed that climate changes at ~40,000 to 18,000 years ago and ~4000 years ago had led to population declines of both species; the R. norvegicus declined rapidly while the population of R. tanezumi continuously expanded since ~1500 years ago, indicating the importance of interspecies' competition in their population size changes. Our study provided a valuable framework for further investigation on phylogeography of two species in China.
Collapse
Affiliation(s)
- Meidong Jing
- School of Life SciencesNantong UniversityNantongChina
| | - Yingjie Chen
- School of Life SciencesNantong UniversityNantongChina
| | - Keying Yao
- School of Life SciencesNantong UniversityNantongChina
| | - Youming Wang
- School of Life SciencesNantong UniversityNantongChina
| | - Ling Huang
- School of Life SciencesNantong UniversityNantongChina
| |
Collapse
|
7
|
Holland OJ, Toomey M, Ahrens C, Hoffmann AA, Croft LJ, Sherman CDH, Miller AD. Whole genome resequencing reveals signatures of rapid selection in a virus affected commercial fishery. Mol Ecol 2022; 31:3658-3671. [PMID: 35555938 PMCID: PMC9327721 DOI: 10.1111/mec.16499] [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: 09/29/2021] [Revised: 04/11/2022] [Accepted: 05/04/2022] [Indexed: 11/28/2022]
Abstract
Infectious diseases are recognized as one of the greatest global threats to biodiversity and ecosystem functioning. Consequently, there is a growing urgency to understand the speed at which adaptive phenotypes can evolve and spread in natural populations to inform future management. Here we provide evidence of rapid genomic changes in wild Australian blacklip abalone (Haliotis rubra) following a major population crash associated with an infectious disease. Genome scans on H. rubra were performed using pooled whole genome resequencing data from commercial fishing stocks varying in historical exposure to haliotid herpesvirus‐1 (HaHV‐1). Approximately 25,000 single nucleotide polymorphism loci associated with virus exposure were identified, many of which mapped to genes known to contribute to HaHV‐1 immunity in the New Zealand pāua (Haliotis iris) and herpesvirus response pathways in haliotids and other animal systems. These findings indicate genetic changes across a single generation in H. rubra fishing stocks decimated by HaHV‐1, with stock recovery potentially determined by rapid evolutionary changes leading to virus resistance. This is a novel example of apparently rapid adaptation in natural populations of a nonmodel marine organism, highlighting the pace at which selection can potentially act to counter disease in wildlife communities.
Collapse
Affiliation(s)
- Owen J Holland
- School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria, Australia.,Deakin Genomics Centre, Deakin University, Geelong, Victoria, Australia
| | - Madeline Toomey
- School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria, Australia.,Deakin Genomics Centre, Deakin University, Geelong, Victoria, Australia
| | - Collin Ahrens
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, 2052, Australia.,Research Centre for Ecosystem Resilience, Australian Institute of Botanical Science, Royal Botanic Garden, Sydney, NSW, 2000, Australia
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Laurence J Croft
- School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria, Australia.,Deakin Genomics Centre, Deakin University, Geelong, Victoria, Australia
| | - Craig D H Sherman
- School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria, Australia
| | - Adam D Miller
- School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria, Australia.,Deakin Genomics Centre, Deakin University, Geelong, Victoria, Australia
| |
Collapse
|
8
|
Moran RL, Jaggard JB, Roback EY, Kenzior A, Rohner N, Kowalko JE, Ornelas-García CP, McGaugh SE, Keene AC. Hybridization underlies localized trait evolution in cavefish. iScience 2022; 25:103778. [PMID: 35146393 PMCID: PMC8819016 DOI: 10.1016/j.isci.2022.103778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/13/2021] [Accepted: 01/12/2022] [Indexed: 11/04/2022] Open
Abstract
Introgressive hybridization may play an integral role in local adaptation and speciation (Taylor and Larson, 2019). In the Mexican tetra Astyanax mexicanus, cave populations have repeatedly evolved traits including eye loss, sleep loss, and albinism. Of the 30 caves inhabited by A. mexicanus, Chica cave is unique because it contains multiple pools inhabited by putative hybrids between surface and cave populations (Mitchell et al., 1977), providing an opportunity to investigate the impact of hybridization on complex trait evolution. We show that hybridization between cave and surface populations may contribute to localized variation in traits associated with cave evolution, including pigmentation, eye development, and sleep. We also uncover an example of convergent evolution in a circadian clock gene in multiple cavefish lineages and burrowing mammals, suggesting a shared genetic mechanism underlying circadian disruption in subterranean vertebrates. Our results provide insight into the role of hybridization in facilitating phenotypic evolution. Hybridization leads to a localized difference in sleep duration within a single cave Genomic analysis identifies coding differences in Cry1A across cave pools Changes in Cry1A appear to be conserved in cavefish and burrowing mammals
Collapse
|
9
|
Izuno A, Onoda Y, Amada G, Kobayashi K, Mukai M, Isagi Y, Shimizu KK. Demography and selection analysis of the incipient adaptive radiation of a Hawaiian woody species. PLoS Genet 2022; 18:e1009987. [PMID: 35061669 PMCID: PMC8782371 DOI: 10.1371/journal.pgen.1009987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 12/09/2021] [Indexed: 11/18/2022] Open
Abstract
Ecological divergence in a species provides a valuable opportunity to study the early stages of speciation. We focused on Metrosideros polymorpha, a unique example of the incipient radiation of woody species, to examine how an ecological divergence continues in the face of gene flow. We analyzed the whole genomes of 70 plants collected throughout the island of Hawaii, which is the youngest island with the highest altitude in the archipelago and encompasses a wide range of environments. The continuous M. polymorpha forest stands on the island of Hawaii were differentiated into three genetic clusters, each of which grows in a distinctive environment and includes substantial genetic and phenotypic diversity. The three genetic clusters showed signatures of selection in genomic regions encompassing genes relevant to environmental adaptations, including genes associated with light utilization, oxidative stress, and leaf senescence, which are likely associated with the ecological differentiation of the species. Our demographic modeling suggested that the glaberrima cluster in wet environments maintained a relatively large population size and two clusters split: polymorpha in the subalpine zone and incana in dry and hot conditions. This ecological divergence possibly began before the species colonized the island of Hawaii. Interestingly, the three clusters recovered genetic connectivity coincidentally with a recent population bottleneck, in line with the weak reproductive isolation observed in the species. This study highlights that the degree of genetic differentiation between ecologically-diverged populations can vary depending on the strength of natural selection in the very early phases of speciation. Knowledge about how genetic barriers are formed between populations in distinct environments is valuable to understand the processes of speciation and conserve biodiversity. Metrosideros polymorpha, an endemic woody species in the Hawaiian Islands, is a good system to study developing genetic barriers in a species, because it colonized the diverse environments and diversified the morphology for a relatively short period of time. We analyzed the genomes of 70 M. polymorpha plants from a broad range of environments on the island of Hawaii to infer the current and past genetic barriers among them. Currently, M. polymorpha plants growing in different environments have substantially different genomes, especially at the genomic regions with genes putatively controlling physiology to fit in distinct environment. However, in its history, they had hybridized with one another, possibly because plants formerly growing in different environments came into close contact due to the climate changes. It is suggested that genetic barriers can easily strengthen or weaken depending on environments splitting the ecology of a species before reproductive isolation becomes complete.
Collapse
Affiliation(s)
- Ayako Izuno
- Department of Forest Molecular Genetics and Biotechnology, Forestry and Forest Products Research Institute, Tsukuba, Japan
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- * E-mail:
| | - Yusuke Onoda
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Gaku Amada
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Keito Kobayashi
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Mana Mukai
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Yuji Isagi
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
| | - Kentaro K. Shimizu
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan
| |
Collapse
|
10
|
Roberts Kingman GA, Vyas DN, Jones FC, Brady SD, Chen HI, Reid K, Milhaven M, Bertino TS, Aguirre WE, Heins DC, von Hippel FA, Park PJ, Kirch M, Absher DM, Myers RM, Di Palma F, Bell MA, Kingsley DM, Veeramah KR. Predicting future from past: The genomic basis of recurrent and rapid stickleback evolution. SCIENCE ADVANCES 2021; 7:7/25/eabg5285. [PMID: 34144992 PMCID: PMC8213234 DOI: 10.1126/sciadv.abg5285] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/05/2021] [Indexed: 05/30/2023]
Abstract
Similar forms often evolve repeatedly in nature, raising long-standing questions about the underlying mechanisms. Here, we use repeated evolution in stickleback to identify a large set of genomic loci that change recurrently during colonization of freshwater habitats by marine fish. The same loci used repeatedly in extant populations also show rapid allele frequency changes when new freshwater populations are experimentally established from marine ancestors. Marked genotypic and phenotypic changes arise within 5 years, facilitated by standing genetic variation and linkage between adaptive regions. Both the speed and location of changes can be predicted using empirical observations of recurrence in natural populations or fundamental genomic features like allelic age, recombination rates, density of divergent loci, and overlap with mapped traits. A composite model trained on these stickleback features can also predict the location of key evolutionary loci in Darwin's finches, suggesting that similar features are important for evolution across diverse taxa.
Collapse
Affiliation(s)
- Garrett A Roberts Kingman
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA
| | - Deven N Vyas
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - Felicity C Jones
- Friedrich Miescher Laboratory of the Max Planck Society, Max-Planck-Ring, Tübingen, Germany
| | - Shannon D Brady
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA
| | - Heidi I Chen
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA
| | - Kerry Reid
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - Mark Milhaven
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Thomas S Bertino
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - Windsor E Aguirre
- Department of Biological Sciences, DePaul University, Chicago, IL 60614-3207, USA
| | - David C Heins
- Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA 70118, USA
| | - Frank A von Hippel
- Department of Community, Environment and Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85724, USA
| | - Peter J Park
- Department of Biology, Farmingdale State College, Farmingdale, NY 11735-1021, USA
| | - Melanie Kirch
- Friedrich Miescher Laboratory of the Max Planck Society, Max-Planck-Ring, Tübingen, Germany
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL 35806, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL 35806, USA
| | - Federica Di Palma
- Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Michael A Bell
- University of California Museum of Paleontology, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - David M Kingsley
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305-5329, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA.
| |
Collapse
|
11
|
Development of novel microsatellite marker panel in threatened tetraploid mahseer, Tor tor (Hamilton 1822) for insights into its genetic diversity and population structure. Meta Gene 2021. [DOI: 10.1016/j.mgene.2021.100880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
|
12
|
Correlational selection in the age of genomics. Nat Ecol Evol 2021; 5:562-573. [PMID: 33859374 DOI: 10.1038/s41559-021-01413-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 02/11/2021] [Indexed: 02/01/2023]
Abstract
Ecologists and evolutionary biologists are well aware that natural and sexual selection do not operate on traits in isolation, but instead act on combinations of traits. This long-recognized and pervasive phenomenon is known as multivariate selection, or-in the particular case where it favours correlations between interacting traits-correlational selection. Despite broad acknowledgement of correlational selection, the relevant theory has often been overlooked in genomic research. Here, we discuss theory and empirical findings from ecological, quantitative genetic and genomic research, linking key insights from different fields. Correlational selection can operate on both discrete trait combinations and quantitative characters, with profound implications for genomic architecture, linkage, pleiotropy, evolvability, modularity, phenotypic integration and phenotypic plasticity. We synthesize current knowledge and discuss promising research approaches that will enable us to understand how correlational selection shapes genomic architecture, thereby linking quantitative genetic approaches with emerging genomic methods. We suggest that research on correlational selection has great potential to integrate multiple fields in evolutionary biology, including developmental and functional biology, ecology, quantitative genetics, phenotypic polymorphisms, hybrid zones and speciation processes.
Collapse
|
13
|
Moodley Y, Westbury MV, Russo IRM, Gopalakrishnan S, Rakotoarivelo A, Olsen RA, Prost S, Tunstall T, Ryder OA, Dalén L, Bruford MW. Interspecific Gene Flow and the Evolution of Specialization in Black and White Rhinoceros. Mol Biol Evol 2021; 37:3105-3117. [PMID: 32585004 DOI: 10.1093/molbev/msaa148] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Africa's black (Diceros bicornis) and white (Ceratotherium simum) rhinoceros are closely related sister-taxa that evolved highly divergent obligate browsing and grazing feeding strategies. Although their precursor species Diceros praecox and Ceratotherium mauritanicum appear in the fossil record ∼5.2 Ma, by 4 Ma both were still mixed feeders, and were even spatiotemporally sympatric at several Pliocene sites in what is today Africa's Rift Valley. Here, we ask whether or not D. praecox and C. mauritanicum were reproductively isolated when they came into Pliocene secondary contact. We sequenced and de novo assembled the first annotated black rhinoceros reference genome and compared it with available genomes of other black and white rhinoceros. We show that ancestral gene flow between D. praecox and C. mauritanicum ceased sometime between 3.3 and 4.1 Ma, despite conventional methods for the detection of gene flow from whole genome data returning false positive signatures of recent interspecific migration due to incomplete lineage sorting. We propose that ongoing Pliocene genetic exchange, for up to 2 My after initial divergence, could have potentially hindered the development of obligate feeding strategies until both species were fully reproductively isolated, but that the more severe and shifting paleoclimate of the early Pleistocene was likely the ultimate driver of ecological specialization in African rhinoceros.
Collapse
Affiliation(s)
- Yoshan Moodley
- Department of Zoology, University of Venda, Thohoyandou, Republic of South Africa
| | - Michael V Westbury
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Isa-Rita M Russo
- School of Biosciences, Cardiff University, Cardiff, United Kingdom
| | - Shyam Gopalakrishnan
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrinajoro Rakotoarivelo
- Department of Zoology, University of Venda, Thohoyandou, Republic of South Africa.,Natiora Ahy Madagasikara, Ampahibe, Antananarivo, Madagascar
| | - Remi-Andre Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
| | - Stefan Prost
- LOEWE-Centre for Translational Biodiversity Genomics, Senckenberg Museum, Frankfurt, Germany.,South African National Biodiversity Institute, National Zoological Gardens, Pretoria, Republic of South Africa
| | - Tate Tunstall
- San Diego Zoo Institute for Conservation Research, San Diego Zoo Global, Escondido, CA
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, San Diego Zoo Global, Escondido, CA
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cardiff, United Kingdom.,Sustainable Places Research Institute, Cardiff University, Cardiff, United Kingdom
| |
Collapse
|
14
|
Flanagan SP, Rose E, Jones AG. The population genomics of repeated freshwater colonizations by Gulf pipefish. Mol Ecol 2021; 30:1672-1687. [PMID: 33580570 DOI: 10.1111/mec.15841] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 12/30/2020] [Accepted: 02/01/2021] [Indexed: 12/17/2022]
Abstract
How organisms adapt to the novel challenges imposed by the colonization of a new habitat has long been a central question in evolutionary biology. When multiple populations of the same species independently adapt to similar environmental challenges, the question becomes whether the populations have arrived at their adaptations through the same genetic mechanisms. In recent years, genetic techniques have been used to tackle these questions by investigating the genome-level changes underlying local adaptation. Here, we present a genomic analysis of colonization of freshwater habitats by a primarily marine fish, the Gulf pipefish (Syngnathus scovelli). We sample pipefish from four geographically distinct freshwater locations and use double-digest restriction site associated DNA sequencing to compare them to 12 previously studied saltwater populations. The two most geographically distant and isolated freshwater populations are the most genetically distinct, although demographic analysis suggests that these populations are experiencing ongoing migration with their saltwater neighbours. Additionally, outlier regions were found genome-wide, showing parallelism across ecotype pairs. We conclude that these multiple freshwater colonizations involve similar genomic regions, despite the large geographical distances and different underlying mechanisms. These similar patterns are probably facilitated by the interacting effects of intrinsic barriers, gene flow among populations and ecological selection in the Gulf pipefish.
Collapse
Affiliation(s)
- Sarah P Flanagan
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Emily Rose
- Department of Biology, Valdosta State University, Valdosta, GA, USA
| | - Adam G Jones
- Department of Biological Sciences, University of Idaho, Moscow, ID, USA
| |
Collapse
|
15
|
Coignard J, Lush M, Beesley J, O'Mara TA, Dennis J, Tyrer JP, Barnes DR, McGuffog L, Leslie G, Bolla MK, Adank MA, Agata S, Ahearn T, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Arnold N, Aronson KJ, Arun BK, Augustinsson A, Azzollini J, Barrowdale D, Baynes C, Becher H, Bermisheva M, Bernstein L, Białkowska K, Blomqvist C, Bojesen SE, Bonanni B, Borg A, Brauch H, Brenner H, Burwinkel B, Buys SS, Caldés T, Caligo MA, Campa D, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chung WK, Claes KBM, Clarke CL, Collée JM, Conroy DM, Czene K, Daly MB, Devilee P, Diez O, Ding YC, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, Garcia-Barberan V, García-Closas M, García-Sáenz JA, Gaudet MM, Gayther SA, Gehrig A, Georgoulias V, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, He W, Hogervorst FBL, Hollestelle A, Hopper JL, Horcasitas DJ, Hulick PJ, Hunter DJ, Imyanitov EN, Jager A, Jakubowska A, James PA, Jensen UB, John EM, Jones ME, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khusnutdinova E, Kiiski JI, Ko YD, Kosma VM, Kraft P, Kurian AW, Laitman Y, Lambrechts D, Le Marchand L, Lester J, Lesueur F, Lindstrom T, Lopez-Fernández A, Loud JT, Luccarini C, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mebirouk N, Meindl A, Miller A, Milne RL, Montagna M, Nathanson KL, Neuhausen SL, Nevanlinna H, Nielsen FC, O'Brien KM, Olopade OI, Olson JE, Olsson H, Osorio A, Ottini L, Park-Simon TW, Parsons MT, Pedersen IS, Peshkin B, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Polley EC, Poppe B, Presneau N, Pujana MA, Punie K, Radice P, Rantala J, Rashid MU, Rennert G, Rennert HS, Robson M, Romero A, Rossing M, Saloustros E, Sandler DP, Santella R, Scheuner MT, Schmidt MK, Schmidt G, Scott C, Sharma P, Soucy P, Southey MC, Spinelli JJ, Steinsnyder Z, Stone J, Stoppa-Lyonnet D, Swerdlow A, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Teulé A, Thull DL, Tischkowitz M, Toland AE, Torres D, Trainer AH, Truong T, Tung N, Vachon CM, Vega A, Vijai J, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wolk A, Yadav S, Yang XR, Yannoukakos D, Zheng W, Ziogas A, Zorn KK, Park SK, Thomassen M, Offit K, Schmutzler RK, Couch FJ, Simard J, Chenevix-Trench G, Easton DF, Andrieu N, Antoniou AC. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers. Nat Commun 2021; 12:1078. [PMID: 33597508 PMCID: PMC7890067 DOI: 10.1038/s41467-020-20496-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 11/19/2020] [Indexed: 02/02/2023] Open
Abstract
Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P < 10-8, at 5 loci, which are not associated with risk in the general population. They include rs60882887 at 11p11.2 where MADD, SP11 and EIF1, genes previously implicated in BC biology, are predicted as potential targets. These findings will contribute towards customising BC polygenic risk scores for BRCA1 and BRCA2 mutation carriers.
Collapse
Affiliation(s)
- Juliette Coignard
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France
- Institut Curie Paris, Paris, France
- Mines ParisTech Fontainebleau, Paris, France
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- PSL University Paris, Paris, France
- Paris Sud University, Orsay, France
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan Beesley
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tracy A O'Mara
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Daniel R Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Muriel A Adank
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Simona Agata
- Immunology and Molecular Oncology, Unit Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital University of Helsinki, Helsinki, Finland
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Norbert Arnold
- Department of Gynaecology and Obstetrics University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany
- Institute of Clinical Molecular Biology University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute Queen's University, Kingston, ON, Canada
| | - Banu K Arun
- Department of Breast Medical Oncology University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences Lund University, Lund, 22242, Sweden
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Heiko Becher
- Institute for Medical Biometrics and Epidemiology University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Leslie Bernstein
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Katarzyna Białkowska
- Department of Genetics and Pathology Pomeranian Medical University Szczecin, Szczecin, Poland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital University of Helsinki, Helsinki, Finland
- Department of Oncology Örebro University Hospital, Örebro, Sweden
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences University of Copenhagen, Copenhagen, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Ake Borg
- Department of Oncology Lund University and Skåne University Hospital, Lund, Sweden
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence University of Tübingen, Tübingen, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, C080 German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg University of Heidelberg, Heidelberg, Germany
| | - Saundra S Buys
- Department of Medicine Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Trinidad Caldés
- Molecular Oncology Laboratory CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Maria A Caligo
- SOD Genetica Molecolare University Hospital, Pisa, Italy
| | - Daniele Campa
- Department of Biology University of Pisa, Pisa, Italy
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Brian D Carter
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Jose E Castelao
- Oncology and Genetics Unit Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH) University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | | | - Christine L Clarke
- Westmead Institute for Medical Research University of Sydney, Sydney, NSW, Australia
| | - J Margriet Collée
- Department of Clinical Genetics Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics Fox Chase Cancer Center Philadelphia, Philadelphia, PA, USA
| | - Peter Devilee
- Department of Pathology Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics Leiden University Medical Center, Leiden, The Netherlands
| | - Orland Diez
- Oncogenetics Group Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Clinical and Molecular Genetics Area University Hospital Vall d'Hebron, Barcelona, Spain
| | - Yuan Chun Ding
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Susan M Domchek
- Basser Center for BRCA, Abramson Cancer Center University of Pennsylvania, Philadelphia, PA, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, London, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Miriam Dwek
- School of Life Sciences University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Genomic Medicine, Division of Evolution and Genomic Sciences The University of Manchester, Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St Mary's Hospital, Manchester, UK
- Genomic Medicine, North West Genomics hub Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St Mary's Hospital, Manchester, UK
| | - Peter A Fasching
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology University of California at Los Angeles, Los Angeles, CA, USA
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN University Hospital Erlangen, Friedrich-Alexander-University, Erlangen-Nuremberg, Erlangen, Germany
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES National Centre for Scientific Research íDemokritosí, Athens, Greece
| | - Eitan Friedman
- The Susanne Levy Gertner Oncogenetics Unit Chaim Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine Tel Aviv University, Ramat Aviv, Israel
| | - Lin Fritschi
- School of Public Health Curtin University, Perth, Western Australia, Australia
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center University of California, San Diego La Jolla, CA, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Judy Garber
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Vanesa Garcia-Barberan
- Medical Oncology Department, Hospital Clínico San Carlos Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrea Gehrig
- Department of Human Genetics University Würzburg, Würzburg, Germany
| | | | - Graham G Giles
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
| | - Andrew K Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, QC, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital McGill University Montréal, Montréal, QC, Canada
| | - David E Goldgar
- Huntsman Cancer Institute and Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Anna González-Neira
- Human Cancer Genetics Programme Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, Bethesda, MD, USA
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP) INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Lothar Haeberle
- Department of Gynaecology and Obstetrics, University Hospital Erlangen Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Eric Hahnen
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine University of Southern California, Los Angeles, CA, USA
| | | | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Patricia A Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Wei He
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Frans B L Hogervorst
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Darling J Horcasitas
- New Mexico Oncology Hematology Consultants, University of New Mexico, Albuquerque, NM, USA
| | - Peter J Hulick
- Center for Medical Genetics NorthShore University HealthSystem, Evanston, IL, USA
- The University of Chicago Pritzker School of Medicine Chicago, Chicago, IL, USA
| | - David J Hunter
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
- Nuffield Department of Population Health University of Oxford, Oxford, UK
| | | | - Agnes Jager
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology Pomeranian Medical University Szczecin, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics Pomeranian Medical University, Szczecin, Poland
| | - Paul A James
- Sir Peter MacCallum Department of Oncology The University of Melbourne, Melbourne, VIC, Australia
- Parkville Familial Cancer Centre Peter MacCallum Cancer Center, Melbourne, VIC, Australia
| | - Uffe Birk Jensen
- Department of Clinical Genetics Aarhus, University Hospital, Aarhus, Denmark
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha Kapoor
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Genetics and Epidemiology The Institute of Cancer Research, London, UK
| | - Beth Y Karlan
- Faculty of Medicine University of Heidelberg, Heidelberg, Germany
- David Geffen School of Medicine, Department of Obstetrics and Gynecology University of California at Los Angeles, Los Angeles, CA, USA
| | - Renske Keeman
- Womenís Cancer Program at the Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Division of Molecular Pathology The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Johanna I Kiiski
- Department of Genetics and Fundamental Medicine Bashkir State Medical University, Ufa, Russia
| | - Yon-Dschun Ko
- Department of Obstetrics and Gynecology, Helsinki University Hospital University of Helsinki, Helsinki, Finland
| | - Veli-Matti Kosma
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH Johanniter Krankenhaus, Bonn, Germany
- Translational Cancer Research Area University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine University of Eastern Finland, Kuopio, Finland
| | - Peter Kraft
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
| | - Allison W Kurian
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Yael Laitman
- The Susanne Levy Gertner Oncogenetics Unit Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jenny Lester
- Faculty of Medicine University of Heidelberg, Heidelberg, Germany
- David Geffen School of Medicine, Department of Obstetrics and Gynecology University of California at Los Angeles, Los Angeles, CA, USA
| | - Fabienne Lesueur
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France
- Institut Curie Paris, Paris, France
- Mines ParisTech Fontainebleau, Paris, France
- PSL University Paris, Paris, France
| | - Tricia Lindstrom
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Adria Lopez-Fernández
- High Risk and Cancer Prevention Group Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Jennifer T Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, Bethesda, MD, USA
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Arto Mannermaa
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH Johanniter Krankenhaus, Bonn, Germany
- Translational Cancer Research Area University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine University of Eastern Finland, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset Karolinska Institutet, Stockholm, Sweden
| | - John W M Martens
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Noura Mebirouk
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France
- Institut Curie Paris, Paris, France
- Mines ParisTech Fontainebleau, Paris, France
- PSL University Paris, Paris, France
| | - Alfons Meindl
- Department of Gynecology and Obstetrics University of Munich, Campus Grosshadern, Munich, Germany
| | - Austin Miller
- NRG Oncology, Statistics and Data Management Center Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Roger L Milne
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
| | - Marco Montagna
- Immunology and Molecular Oncology, Unit Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Katherine L Nathanson
- Basser Center for BRCA, Abramson Cancer Center University of Pennsylvania, Philadelphia, PA, USA
| | - Susan L Neuhausen
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Heli Nevanlinna
- Department of Genetics and Fundamental Medicine Bashkir State Medical University, Ufa, Russia
| | - Finn C Nielsen
- Center for Genomic Medicine Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Katie M O'Brien
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
| | | | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences Lund University, Lund, 22242, Sweden
| | - Ana Osorio
- Human Cancer Genetics Programme Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Laura Ottini
- Department of Molecular Medicine University La Sapienza, Rome, Italy
| | | | - Michael T Parsons
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Inge Sokilde Pedersen
- Molecular Diagnostics Aalborg University Hospital, Aalborg, Denmark
- Clinical Cancer Research Center Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine Aalborg University, Aalborg, Denmark
| | - Beth Peshkin
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program IFOM - the FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, London, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Kelly-Anne Phillips
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology The University of Melbourne, Melbourne, VIC, Australia
| | - Eric C Polley
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Bruce Poppe
- Centre for Medical Genetics Ghent University, Gent, Belgium
| | - Nadege Presneau
- School of Life Sciences University of Westminster, London, UK
| | - Miquel Angel Pujana
- Translational Research Laboratory IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Kevin Punie
- Leuven Multidisciplinary Breast Center, Department of Oncology Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | | | - Muhammad U Rashid
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Basic Sciences Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore, Pakistan
| | - Gad Rennert
- Clalit National Cancer Control Center Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Mark Robson
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Atocha Romero
- Medical Oncology Department Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Maria Rossing
- Center for Genomic Medicine Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Dale P Sandler
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
| | - Regina Santella
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Maren T Scheuner
- Cancer Genetics and Prevention Program University of California San Francisco, San Francisco, CA, USA
| | - Marjanka K Schmidt
- Womenís Cancer Program at the Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Psychosocial Research and Epidemiology The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Gunnar Schmidt
- Institute of Human Genetics Hannover Medical School, Hannover, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Priyanka Sharma
- Department of Internal Medicine, Division of Medical Oncology University of Kansas Medical Center, Westwood, KS, USA
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology The University of Melbourne, Melbourne, VIC, Australia
| | - John J Spinelli
- Population Oncology BC Cancer, Vancouver, BC, Canada
- School of Population and Public Health University of British Columbia, Vancouver, BC, Canada
| | - Zoe Steinsnyder
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- The Curtin UWA Centre for Genetic Origins of Health and Disease Curtin University and University of Western Australia, Perth, Western Australia, Australia
| | - Dominique Stoppa-Lyonnet
- Service de Génétique Institut Curie, Paris, France
- Department of Tumour Biology INSERM U830, Paris, France
- Université Paris Descartes, Paris, France
| | - Anthony Swerdlow
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Breast Cancer Research Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
| | | | - Jack A Taylor
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
- Epigenetic and Stem Cell Biology Laboratory National Institute of Environmental Health Sciences, NIH Research Triangle Park, Triangle Park, NC, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Alex Teulé
- Hereditary Cancer Program ONCOBELL-IDIBELL-IDIBGI-IGTP, Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Darcy L Thull
- Department of Medicine Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology McGill University, Montréal, QC, Canada
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Center, University of Cambridge, Cambridge, UK
| | - Amanda E Toland
- Department of Cancer Biology and Genetics The Ohio State University, Columbus, OH, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics Pontificia Universidad Javeriana, Bogota, Colombia
| | - Alison H Trainer
- Parkville Familial Cancer Centre Peter MacCallum Cancer Center, Melbourne, VIC, Australia
- Department of medicine University Of Melbourne, Melbourne, VIC, Australia
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP) INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Nadine Tung
- Department of Medical Oncology Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology Mayo Clinic, Rochester, MN, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica-SERGAS, Instituto de Investigación Sanitaria Santiago de Compostela (IDIS); CIBERER, Santiago de Compostela, Spain
| | - Joseph Vijai
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Barbara Wappenschmidt
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Triangle Park, NC, USA
| | | | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences Uppsala University, Uppsala, Sweden
| | | | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES National Centre for Scientific Research íDemokritosí, Athens, Greece
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Kristin K Zorn
- Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sue K Park
- Department of Preventive Medicine Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute Seoul National University, Seoul, Korea
| | - Mads Thomassen
- Department of Clinical Genetics Odense University Hospital, Odence C, Denmark
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology Mayo Clinic, Rochester, MN, USA
| | - Jacques Simard
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Nadine Andrieu
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France.
- Institut Curie Paris, Paris, France.
- Mines ParisTech Fontainebleau, Paris, France.
- PSL University Paris, Paris, France.
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| |
Collapse
|
16
|
Swift HF, Dawson MN. Demographic, Environmental, and Phenotypic Change but Genetic Consistency in the Jellyfish Mastigias papua. THE BIOLOGICAL BULLETIN 2020; 239:80-94. [PMID: 33151754 DOI: 10.1086/710663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
AbstractSpatiotemporal environmental change can produce phenotypic differences within and between populations. For scyphozoans, the effect of environmental variation on phenotype has been unclear because of multiple challenges, including difficulties delimiting populations. Marine lakes, bodies of seawater entirely surrounded by land, provide an opportunity to study discrete populations and capture responses to perturbations. We use this opportunity to compare Mastigias papua (Lesson, 1830) medusae before and after a demographic and environmental perturbation. We reconstructed mitochondrial DNA haplotype networks, measured morphological variation, and assessed swimming behavior of pre- and post-perturbation samples to evaluate two hypotheses about the source of variation: recolonization from an alternate location or endemic phenotypic variation. We found significant differences between samples in morphology (F > 9.5, P < 0.001) and in two of three behaviors (F > 8.45, P < 0.005) but no substantial genetic differentiation (ΦST = 0.03, P = 0.09). We reject the hypothesis of recolonization because pre- and post-perturbation lake medusae were genetically similar to each other and also significantly different from any potential source locations (ΦST > 0.48, P > 0.001). We could not distinguish the source of endemic variation; this will require genomic or experimental analyses. Increasing climatic variability emphasizes the need for understanding population-level responses to environmental change and how responses may be modified by sources of intraspecific variation.
Collapse
|
17
|
On the causes of geographically heterogeneous parallel evolution in sticklebacks. Nat Ecol Evol 2020; 4:1105-1115. [DOI: 10.1038/s41559-020-1222-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 05/14/2020] [Indexed: 12/22/2022]
|
18
|
Terekhanova NV, Barmintseva AE, Kondrashov AS, Bazykin GA, Mugue NS. Architecture of Parallel Adaptation in Ten Lacustrine Threespine Stickleback Populations from the White Sea Area. Genome Biol Evol 2020; 11:2605-2618. [PMID: 31406984 PMCID: PMC6761963 DOI: 10.1093/gbe/evz175] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2019] [Indexed: 12/20/2022] Open
Abstract
Adaptation of threespine stickleback to freshwater involves parallel recruitment of freshwater alleles in clusters of closely linked sites, or divergence islands (DIs). However, it remains unclear to what extent the DIs and the alleles that constitute them coincide between populations that underwent adaptation to freshwater independently. We examine threespine sticklebacks from ten freshwater lakes that emerged 500–1500 years ago in the White Sea basin, with the emphasis on repeatability of genomic patterns of adaptation among the lake populations and the role of local recombination rate in the distribution and structure of DIs. The 65 detected DIs are clustered in the genome, forming 12 aggregations, and this clustering cannot be explained by the variation of the recombination rate. Only 21 of the DIs are present in all the freshwater populations, likely being indispensable for successful colonization of freshwater environment by the ancestral marine population. Within most DIs, the same set of single nucleotide polymorphisms (SNPs) distinguish marine and freshwater haplotypes in all the lake populations; however, in some DIs, freshwater alleles differ between populations, suggesting that they could have been established by recruitment of different haplotypes in different populations.
Collapse
Affiliation(s)
- Nadezhda V Terekhanova
- Skolkovo Institute of Science and Technology, Skolkovo, Russia.,Sector for Molecular Evolution, Institute for Information Transmission Problems of the RAS (Kharkevich Institute), Moscow, Russia
| | - Anna E Barmintseva
- Laboratory of Molecular Genetics, Russian Federal Research Institute of Fisheries and Oceanography, Moscow, Russia
| | - Alexey S Kondrashov
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan.,M. V. Lomonosov Moscow State University, Moscow, Russia
| | - Georgii A Bazykin
- Skolkovo Institute of Science and Technology, Skolkovo, Russia.,Sector for Molecular Evolution, Institute for Information Transmission Problems of the RAS (Kharkevich Institute), Moscow, Russia
| | - Nikolai S Mugue
- Laboratory of Molecular Genetics, Russian Federal Research Institute of Fisheries and Oceanography, Moscow, Russia.,N. K. Koltzov Institute of Developmental Biology RAS, Moscow, Russia
| |
Collapse
|
19
|
Moran RL, Catchen JM, Fuller RC. Genomic Resources for Darters (Percidae: Etheostominae) Provide Insight into Postzygotic Barriers Implicated in Speciation. Mol Biol Evol 2020; 37:711-729. [PMID: 31688927 PMCID: PMC7038671 DOI: 10.1093/molbev/msz260] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Comparative genomic approaches are increasingly being used to study the evolution of reproductive barriers in nonmodel species. Although numerous studies have examined prezygotic isolation in darters (Percidae), investigations into postzygotic barriers have remained rare due to long generation times and a lack of genomic resources. Orangethroat and rainbow darters naturally hybridize and provide a remarkable example of male-driven speciation via character displacement. Backcross hybrids suffer from high mortality, which appears to promote behavioral isolation in sympatry. To investigate the genomic architecture of postzygotic isolation, we used Illumina and PacBio sequencing to generate a chromosome-level, annotated assembly of the orangethroat darter genome and high-density linkage maps for orangethroat and rainbow darters. We also analyzed genome-wide RADseq data from wild-caught adults of both species and laboratory-generated backcrosses to identify genomic regions associated with hybrid incompatibles. Several putative chromosomal translocations and inversions were observed between orangethroat and rainbow darters, suggesting structural rearrangements may underlie postzygotic isolation. We also found evidence of selection against recombinant haplotypes and transmission ratio distortion in backcross hybrid genomes, providing further insight into the genomic architecture of genetic incompatibilities. Notably, regions with high levels of genetic divergence between species were enriched for genes associated with developmental and meiotic processes, providing strong candidates for postzygotic isolating barriers. These findings mark significant contributions to our understanding of the genetic basis of reproductive isolation between species undergoing character displacement. Furthermore, the genomic resources presented here will be instrumental for studying speciation in darters, the most diverse vertebrate group in North America.
Collapse
Affiliation(s)
- Rachel L Moran
- Program in Ecology, Evolution, and Conservation Biology, Department of Animal Biology, University of Illinois at Urbana-Champaign, Champaign, IL
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN
| | - Julian M Catchen
- Program in Ecology, Evolution, and Conservation Biology, Department of Animal Biology, University of Illinois at Urbana-Champaign, Champaign, IL
| | - Rebecca C Fuller
- Program in Ecology, Evolution, and Conservation Biology, Department of Animal Biology, University of Illinois at Urbana-Champaign, Champaign, IL
| |
Collapse
|
20
|
Walsh J, Clucas GV, MacManes MD, Thomas WK, Kovach AI. Divergent selection and drift shape the genomes of two avian sister species spanning a saline-freshwater ecotone. Ecol Evol 2019; 9:13477-13494. [PMID: 31871659 PMCID: PMC6912898 DOI: 10.1002/ece3.5804] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Accepted: 08/28/2019] [Indexed: 12/25/2022] Open
Abstract
The role of species divergence due to ecologically based divergent selection-or ecological speciation-in generating and maintaining biodiversity is a central question in evolutionary biology. Comparison of the genomes of phylogenetically related taxa spanning a selective habitat gradient enables discovery of divergent signatures of selection and thereby provides valuable insight into the role of divergent ecological selection in speciation. Tidal marsh ecosystems provide tractable opportunities for studying organisms' adaptations to selective pressures that underlie ecological divergence. Sharp environmental gradients across the saline-freshwater ecotone within tidal marshes present extreme adaptive challenges to terrestrial vertebrates. Here, we sequence 20 whole genomes of two avian sister species endemic to tidal marshes-the saltmarsh sparrow (Ammospiza caudacutus) and Nelson's sparrow (A. nelsoni)-to evaluate the influence of selective and demographic processes in shaping genome-wide patterns of divergence. Genome-wide divergence between these two recently diverged sister species was notably high (genome-wide F ST = 0.32). Against a background of high genome-wide divergence, regions of elevated divergence were widespread throughout the genome, as opposed to focused within islands of differentiation. These patterns may be the result of genetic drift resulting from past tidal march colonization events in conjunction with divergent selection to different environments. We identified several candidate genes that exhibited elevated divergence between saltmarsh and Nelson's sparrows, including genes linked to osmotic regulation, circadian rhythm, and plumage melanism-all putative candidates linked to adaptation to tidal marsh environments. These findings provide new insights into the roles of divergent selection and genetic drift in generating and maintaining biodiversity.
Collapse
Affiliation(s)
- Jennifer Walsh
- Department of Natural Resources and the EnvironmentUniversity of New HampshireDurhamNHUSA
- Fuller Evolutionary Biology ProgramCornell Laboratory of OrnithologyCornell UniversityIthacaNYUSA
- Department of Ecology and Evolutionary BiologyCornell UniversityIthacaNYUSA
| | - Gemma V. Clucas
- Department of Natural Resources and the EnvironmentUniversity of New HampshireDurhamNHUSA
- Present address:
Cornell Lab of OrnithologyIthacaNYUSA
| | - Matthew D. MacManes
- Department of Molecular, Cellular and Biomedical SciencesUniversity of New HampshireDurhamNHUSA
- Hubbard Center for Genome StudiesDurhamNHUSA
| | - W. Kelley Thomas
- Department of Molecular, Cellular and Biomedical SciencesUniversity of New HampshireDurhamNHUSA
- Hubbard Center for Genome StudiesDurhamNHUSA
| | - Adrienne I. Kovach
- Department of Natural Resources and the EnvironmentUniversity of New HampshireDurhamNHUSA
| |
Collapse
|
21
|
Quilodrán CS, Ruegg K, Sendell‐Price AT, Anderson EC, Coulson T, Clegg SM. The multiple population genetic and demographic routes to islands of genomic divergence. Methods Ecol Evol 2019. [DOI: 10.1111/2041-210x.13324] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | - Kristen Ruegg
- Department of Zoology University of Oxford Oxford UK
- Center for Tropical Research Institute of the Environment and Sustainability University of California, Los Angeles Los Angeles CA USA
- Department of Biology Colorado State University Fort Collins CO USA
| | | | - Eric C. Anderson
- Fisheries Ecology Division Southwest Fisheries Science Center National Marine Fisheries ServiceNOAA Santa Cruz CA USA
| | - Tim Coulson
- Department of Zoology University of Oxford Oxford UK
| | | |
Collapse
|
22
|
Rodríguez-Ramilo ST, Baranski M, Moghadam H, Grove H, Lien S, Goddard ME, Meuwissen THE, Sonesson AK. Strong selection pressures maintain divergence on genomic islands in Atlantic cod (Gadus morhua L.) populations. Genet Sel Evol 2019; 51:61. [PMID: 31664896 PMCID: PMC6819574 DOI: 10.1186/s12711-019-0503-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 10/16/2019] [Indexed: 11/15/2022] Open
Abstract
Background Two distinct populations have been extensively studied in Atlantic cod (Gadus morhua L.): the Northeast Arctic cod (NEAC) population and the coastal cod (CC) population. The objectives of the current study were to identify genomic islands of divergence and to propose an approach to quantify the strength of selection pressures using whole-genome single nucleotide polymorphism (SNP) data. After applying filtering criteria, information on 93 animals (9 CC individuals, 50 NEAC animals and 34 CC × NEAC crossbred individuals) and 3,123,434 autosomal SNPs were used. Results Four genomic islands of divergence were identified on chromosomes 1, 2, 7 and 12, which were mapped accurately based on SNP data and which extended in size from 11 to 18 Mb. These regions differed considerably between the two populations although the differences in the rest of the genome were small due to considerable gene flow between the populations. The estimates of selection pressures showed that natural selection was substantially more important than genetic drift in shaping these genomic islands. Our data confirmed results from earlier publications that suggested that genomic islands are due to chromosomal rearrangements that are under strong selection and reduce recombination between rearranged and non-rearranged segments. Conclusions Our findings further support the hypothesis that selection and reduced recombination in genomic islands may promote speciation between these two populations although their habitats overlap considerably and migrations occur between them.
Collapse
Affiliation(s)
- Silvia T Rodríguez-Ramilo
- GenPhySE, INRA, 24 Chemin de Borde Rouge, 31326, Castanet-Tolosan, France. .,Departamento de Mejora Genética Animal, INIA, Crta. A Coruña Km. 7,5, Madrid, 28040, Spain.
| | - Matthew Baranski
- NOFIMA Marine, Osloveien 1, Ås, 1430, Norway.,Mowi ASA, Sandviksboder 77AB, Bergen, 5035, Norway
| | - Hooman Moghadam
- NOFIMA Marine, Osloveien 1, Ås, 1430, Norway.,Salmobreed, Sandviksboder 3A, Bergen, 5035, Norway
| | - Harald Grove
- Centre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Arboretveien 6, Ås, 1430, Norway
| | - Sigbjørn Lien
- Centre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Arboretveien 6, Ås, 1430, Norway
| | - Mike E Goddard
- Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, 3083, Australia.,Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Theo H E Meuwissen
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Arboretveien 6, Ås, 1430, Norway
| | | |
Collapse
|
23
|
Kess T, Boulding EG. Genome-wide association analyses reveal polygenic genomic architecture underlying divergent shell morphology in Spanish Littorina saxatilis ecotypes. Ecol Evol 2019; 9:9427-9441. [PMID: 31534666 PMCID: PMC6745682 DOI: 10.1002/ece3.5378] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 05/24/2019] [Indexed: 12/18/2022] Open
Abstract
Gene flow between diverging populations experiencing dissimilar ecological conditions can theoretically constrain adaptive evolution. To minimize the effect of gene flow, alleles underlying traits essential for local adaptation are predicted to be located in linked genome regions with reduced recombination. Local reduction in gene flow caused by selection is expected to produce elevated divergence in these regions. The highly divergent crab-adapted and wave-adapted ecotypes of the marine snail Littorina saxatilis present a model system to test these predictions. We used genome-wide association (GWA) analysis of geometric morphometric shell traits associated with microgeographic divergence between the two L. saxatilis ecotypes within three separate sampling sites. A total of 477 snails that had individual geometric morphometric data and individual genotypes at 4,066 single nucleotide polymorphisms (SNPs) were analyzed using GWA methods that corrected for population structure among the three sites. This approach allowed dissection of the genomic architecture of shell shape divergence between ecotypes across a wide geographic range, spanning two glacial lineages. GWA revealed 216 quantitative trait loci (QTL) with shell size or shape differences between ecotypes, with most loci explaining a small proportion of phenotypic variation. We found that QTL were evenly distributed across 17 linkage groups, and exhibited elevated interchromosomal linkage, suggesting a genome-wide response to divergent selection on shell shape between the two ecotypes. Shell shape trait-associated loci showed partial overlap with previously identified outlier loci under divergent selection between the two ecotypes, supporting the hypothesis of diversifying selection on these genomic regions. These results suggest that divergence in shell shape between the crab-adapted and wave-adapted ecotypes is produced predominantly by a polygenic genomic architecture with positive linkage disequilibrium among loci of small effect.
Collapse
Affiliation(s)
- Tony Kess
- Department of Integrative BiologyUniversity of GuelphGuelphONCanada
- Present address:
Fisheries and Oceans CanadaSt. John'sNLCanada
| | | |
Collapse
|
24
|
Nelson TC, Crandall JG, Ituarte CM, Catchen JM, Cresko WA. Selection, Linkage, and Population Structure Interact To Shape Genetic Variation Among Threespine Stickleback Genomes. Genetics 2019; 212:1367-1382. [PMID: 31213503 PMCID: PMC6707445 DOI: 10.1534/genetics.119.302261] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 06/11/2019] [Indexed: 11/18/2022] Open
Abstract
The outcome of selection on genetic variation depends on the geographic organization of individuals and populations as well as the organization of loci within the genome. Spatially variable selection between marine and freshwater habitats has had a significant and heterogeneous impact on patterns of genetic variation across the genome of threespine stickleback fish. When marine stickleback invade freshwater habitats, more than a quarter of the genome can respond to divergent selection, even in as little as 50 years. This process largely uses standing genetic variation that can be found ubiquitously at low frequency in marine populations, can be millions of years old, and is likely maintained by significant bidirectional gene flow. Here, we combine population genomic data of marine and freshwater stickleback from Cook Inlet, Alaska, with genetic maps of stickleback fish derived from those same populations to examine how linkage to loci under selection affects genetic variation across the stickleback genome. Divergent selection has had opposing effects on linked genetic variation on chromosomes from marine and freshwater stickleback populations: near loci under selection, marine chromosomes are depauperate of variation, while these same regions among freshwater genomes are the most genetically diverse. Forward genetic simulations recapitulate this pattern when different selective environments also differ in population structure. Lastly, dense genetic maps demonstrate that the interaction between selection and population structure may impact large stretches of the stickleback genome. These findings advance our understanding of how the structuring of populations across geography influences the outcomes of selection, and how the recombination landscape broadens the genomic reach of selection.
Collapse
Affiliation(s)
- Thomas C Nelson
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon 97403
- Division of Biological Sciences, University of Montana, Missoula, Montana 59812
| | | | - Catherine M Ituarte
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon 97403
| | - Julian M Catchen
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon 97403
- Department of Animal Biology, University of Illinois at Urbana-Champaign, Illinois 61801
| | - William A Cresko
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon 97403
| |
Collapse
|
25
|
Rifkin JL, Castillo AS, Liao IT, Rausher MD. Gene flow, divergent selection and resistance to introgression in two species of morning glories (Ipomoea). Mol Ecol 2019; 28:1709-1729. [PMID: 30451335 DOI: 10.1111/mec.14945] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 09/03/2018] [Accepted: 11/01/2018] [Indexed: 02/03/2023]
Abstract
Gene flow is thought to impede genetic divergence and speciation by homogenizing genomes. Recent theory and research suggest that sufficiently strong divergent selection can overpower gene flow, leading to loci that are highly differentiated compared to others. However, there are also alternative explanations for this pattern. Independent evidence that loci in highly differentiated regions are under divergent selection would allow these explanations to be distinguished, but such evidence is scarce. Here, we present multiple lines of evidence that many of the highly divergent SNPs in a pair of sister morning glory species, Ipomoea cordatotriloba and I. lacunosa, are the result of divergent selection in the face of gene flow. We analysed a SNP data set across the genome to assess the amount of gene flow, resistance to introgression and patterns of selection on loci resistant to introgression. We show that differentiation between the two species is much lower in sympatry than in allopatry, consistent with interspecific gene flow in sympatry. Gene flow appears to be substantially greater from I. lacunosa to I. cordatotriloba than in the reverse direction, resulting in sympatric and allopatric I. cordatotriloba being substantially more different than sympatric and allopatric I. lacunosa. Many SNPs highly differentiated in allopatry have experienced divergent selection, and, despite gene flow in sympatry, resist homogenization in sympatry. Finally, five out of eight floral and inflorescence characteristics measured exhibit asymmetric convergence in sympatry. Consistent with the pattern of gene flow, I. cordatotriloba traits become much more like those of I. lacunosa than the reverse. Our investigation reveals the complex interplay between selection and gene flow that can occur during the early stages of speciation.
Collapse
Affiliation(s)
- Joanna L Rifkin
- Department of Biology, Duke University, Durham, North Carolina
| | | | - Irene T Liao
- Department of Biology, Duke University, Durham, North Carolina
| | - Mark D Rausher
- Department of Biology, Duke University, Durham, North Carolina
| |
Collapse
|
26
|
Aguirre WE, Young A, Navarrete-Amaya R, Valdiviezo-Rivera J, Jiménez-Prado P, Cucalón RV, Nugra-Salazar F, Calle-Delgado P, Borders T, Shervette VR. Vertebral number covaries with body form and elevation along the western slopes of the Ecuadorian Andes in the Neotropical fish genusRhoadsia(Teleostei: Characidae). Biol J Linn Soc Lond 2019. [DOI: 10.1093/biolinnean/blz002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Windsor E Aguirre
- Department of Biological Sciences, DePaul University, Chicago, IL, USA
| | - Ashley Young
- Department of Biological Sciences, DePaul University, Chicago, IL, USA
| | | | | | - Pedro Jiménez-Prado
- Escuela de Gestión Ambiental, Pontificia Universidad Católica del Ecuador Sede Esmeraldas, Esmeraldas, Ecuador
| | - Roberto V Cucalón
- Department of Biological Sciences, DePaul University, Chicago, IL, USA
| | - Fredy Nugra-Salazar
- Laboratorio de Zoología de Vertebrados de la Universidad del Azuay, Cuenca, Ecuador
| | - Paola Calle-Delgado
- Facultad de Ciencias de la Vida, Escuela Superior Politécnica del Litoral, Casilla, Guayaquil, Ecuador
| | - Thomas Borders
- Department of Biological Sciences, DePaul University, Chicago, IL, USA
| | | |
Collapse
|
27
|
Hohenlohe PA, Magalhaes IS. The Population Genomics of Parallel Adaptation: Lessons from Threespine Stickleback. POPULATION GENOMICS 2019. [DOI: 10.1007/13836_2019_67] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
|
28
|
Graham MA, Earley RL, Baker JA, Foster SA. Evolution of steroid hormones in reproductive females of the threespine stickleback fish. Gen Comp Endocrinol 2018; 268:71-79. [PMID: 30077793 DOI: 10.1016/j.ygcen.2018.08.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 07/27/2018] [Accepted: 08/01/2018] [Indexed: 12/28/2022]
Abstract
Hormones play a prominent role in animal development, mediating the expression of traits and coordinating phenotypic responses to the environment. Their role as physiological integrators has implications for how populations respond to natural selection and can impact the speed and direction of evolutionary change. However, many emerging and established fish models with the potential to be ecologically or evolutionarily informative are small-bodied, making hormone sampling through traditional methods (whole-body or plasma) lethal or highly disruptive. Sampling methodology has thus restricted study design, often limiting sample sizes, and has prevented the study of at-risk/endangered populations. We utilize water-borne hormone sampling, a minimally invasive method of measuring the rate of steroid hormone release across the gills and further validate this method in a novel, evolutionary context. First, we compare water-borne hormone measures of cortisol with those quantified from plasma and whole-body samples collected from the same individuals to establish the relationship between concentrations quantified via the three methods. We then compare the release of steroid hormones in three populations of threespine stickleback to establish the sensitivity of this tool in measuring within-individual and between-individual variation in biologically relevant contexts (reproductive stages), and in assessing differences among populations with distinct evolutionary histories. We demonstrate a strong positive relationship between cortisol concentrations measured with water-borne, plasma, and whole-body collection techniques. Tracking estradiol and testosterone throughout clutch production in females produced anticipated patterns associated with growing and maturing eggs, with divergence in estradiol production in one population. Additionally, differences among populations in cortisol levels at ovulation paralleled the relative presence of a social stressor, and thus expected energetic needs within each population. We confirm that water-borne hormone sampling is sufficiently sensitive to capture biologically relevant fluctuations in steroid hormones between environmental contexts and demonstrate that among-population differences are detectable. This technique can be applied broadly to small fish to answer important ecological and evolutionary questions. By linking population variation in hormones and the multivariate phenotype, this technique will help elucidate both proximate mechanisms underlying phenotypic development and variation, and the way hormone networks alter evolutionary responses to selection.
Collapse
Affiliation(s)
- Melissa A Graham
- Clark University, Biology Department, 950 Main St, Worcester, MA 01610, USA.
| | - Ryan L Earley
- University of Alabama, Department of Biological Sciences, Box 870344, Tuscaloosa, AL 35487, USA
| | - John A Baker
- Clark University, Biology Department, 950 Main St, Worcester, MA 01610, USA
| | - Susan A Foster
- Clark University, Biology Department, 950 Main St, Worcester, MA 01610, USA
| |
Collapse
|
29
|
O'Leary SJ, Puritz JB, Willis SC, Hollenbeck CM, Portnoy DS. These aren't the loci you'e looking for: Principles of effective SNP filtering for molecular ecologists. Mol Ecol 2018; 27:3193-3206. [PMID: 29987880 DOI: 10.1111/mec.14792] [Citation(s) in RCA: 170] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/23/2018] [Accepted: 06/26/2018] [Indexed: 12/16/2022]
Abstract
Sequencing reduced-representation libraries of restriction site-associated DNA (RADseq) to identify single nucleotide polymorphisms (SNPs) is quickly becoming a standard methodology for molecular ecologists. Because of the scale of RADseq data sets, putative loci cannot be assessed individually, making the process of filtering noise and correctly identifying biologically meaningful signal more difficult. Artefacts introduced during library preparation and/or bioinformatic processing of SNP data can create patterns that are incorrectly interpreted as indicative of population structure or natural selection. Therefore, it is crucial to carefully consider types of errors that may be introduced during laboratory work and data processing, and how to minimize, detect and remove these errors. Here, we discuss issues inherent to RADseq methodologies that can result in artefacts during library preparation and locus reconstruction resulting in erroneous SNP calls and, ultimately, genotyping error. Further, we describe steps that can be implemented to create a rigorously filtered data set consisting of markers accurately representing independent loci and compare the effect of different combinations of filters on four RAD data sets. At last, we stress the importance of publishing raw sequence data along with final filtered data sets in addition to detailed documentation of filtering steps and quality control measures.
Collapse
Affiliation(s)
- Shannon J O'Leary
- Department of Life Sciences, Texas A&M University - Corpus Christi, Texas
| | - Jonathan B Puritz
- Biological Sciences, University of Rhode Island, Kingston, Rhode Island
| | - Stuart C Willis
- Department of Life Sciences, Texas A&M University - Corpus Christi, Texas
- Department of Ichthyology, California Academy of Sciences, San Francisco, California
| | | | - David S Portnoy
- Department of Life Sciences, Texas A&M University - Corpus Christi, Texas
| |
Collapse
|
30
|
Xie M, Ming Y, Shao F, Jian J, Zhang Y, Peng Z. Restriction site-associated DNA sequencing for SNP discovery and high-density genetic map construction in southern catfish ( Silurus meridionalis). ROYAL SOCIETY OPEN SCIENCE 2018; 5:172054. [PMID: 29892392 PMCID: PMC5990832 DOI: 10.1098/rsos.172054] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 04/25/2018] [Indexed: 06/08/2023]
Abstract
Single-nucleotide polymorphism (SNP) markers and high-density genetic maps are important resources for marker-assisted selection, mapping of quantitative trait loci (QTLs) and genome structure analysis. Although linkage maps in certain catfish species have been obtained, high-density maps remain unavailable in the economically important southern catfish (Silurus meridionalis). Recently developed restriction site-associated DNA (RAD) markers have proved to be a promising tool for SNP detection and genetic map construction. The objective of the present study was to construct a high-density linkage map using SNPs generated by next-generation RAD sequencing in S. meridionalis for future genetic and genomic studies. An F1 population of 100 individuals was obtained by intraspecific crossing of two wild heterozygous individuals. In total, 77 634 putative high-quality bi-allelic SNPs between the parents were discovered by mapping the parents' paired-end RAD reads onto the reference contigs from both parents, of which 54.7% were transitions and 45.3% were transversions (transition/transversion ratio of 1.2). Finally, 26 714 high-quality RAD markers were grouped into 29 linkage groups by using de novo clustering methods (Stacks). Among these markers, 4514 were linked to the female genetic map, 23 718 to the male map and 6715 effective loci were linked to the integrated map spanning 5918.31 centimorgans (cM), with an average marker interval of 0.89 cM. High-resolution genetic maps are a useful tool for both marker-assisted breeding and various genome investigations in catfish, such as sequence assembly, gene localization, QTL detection and genome structure comparison. Hence, such a high-density linkage map will serve as a valuable resource for comparative genomics and fine-scale QTL mapping in catfish species.
Collapse
Affiliation(s)
- Mimi Xie
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University School of Life Sciences, Chongqing 400715, People's Republic of China
| | - Yao Ming
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, People's Republic of China
| | - Feng Shao
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University School of Life Sciences, Chongqing 400715, People's Republic of China
| | - Jianbo Jian
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, People's Republic of China
| | - Yaoguang Zhang
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University School of Life Sciences, Chongqing 400715, People's Republic of China
| | - Zuogang Peng
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University School of Life Sciences, Chongqing 400715, People's Republic of China
| |
Collapse
|
31
|
Linkage Disequilibrium Estimation in Low Coverage High-Throughput Sequencing Data. Genetics 2018; 209:389-400. [PMID: 29588288 PMCID: PMC5972415 DOI: 10.1534/genetics.118.300831] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 03/22/2018] [Indexed: 12/31/2022] Open
Abstract
High-throughput sequencing methods provide a cost-effective approach for genotyping and are commonly used in population genetics studies. A drawback of these methods, however, is that sequencing and genotyping errors can arise... High-throughput sequencing methods that multiplex a large number of individuals have provided a cost-effective approach for discovering genome-wide genetic variation in large populations. These sequencing methods are increasingly being utilized in population genetic studies across a diverse range of species. Two side-effects of these methods, however, are (1) sequencing errors and (2) heterozygous genotypes called as homozygous due to only one allele at a particular locus being sequenced, which occurs when the sequencing depth is insufficient. Both of these errors have a profound effect on the estimation of linkage disequilibrium (LD) and, if not taken into account, lead to inaccurate estimates. We developed a new likelihood method, GUS-LD, to estimate pairwise linkage disequilibrium using low coverage sequencing data that accounts for undercalled heterozygous genotypes and sequencing errors. Our findings show that accurate estimates were obtained using GUS-LD, whereas underestimation of LD results if no adjustment is made for the errors.
Collapse
|
32
|
O'Leary SJ, Hollenbeck CM, Vega RR, Gold JR, Portnoy DS. Genetic mapping and comparative genomics to inform restoration enhancement and culture of southern flounder, Paralichthys lethostigma. BMC Genomics 2018; 19:163. [PMID: 29471804 PMCID: PMC5824557 DOI: 10.1186/s12864-018-4541-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 02/13/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Southern flounder, Paralichthys lethostigma, historically support a substantial fishery along the Atlantic and Gulf coasts of the southern United States. Low year-class strengths over the past few years in the western Gulf of Mexico have raised concern that spawning stocks may be overfished. Current management of the resource includes releasing hatchery-raised juveniles to restock bays and estuaries; additionally, there is a growing interest in the potential for commercial aquaculture of the species. Currently, genomic resources for southern flounder do not exist. Here, we used two hatchery-reared families and double-digest, restriction-site-associated DNA (ddRAD) sequencing to create a reduced-representation genomic library consisting of several thousand single nucleotide polymorphisms (SNPs) located throughout the genome. RESULTS The relative position of each SNP-containing locus was determined to create a high-density genetic map spanning the 24 linkage groups of the southern flounder genome. The consensus map was used to identify regions of shared synteny between southern flounder and seven other fish species for which genome assemblies are available. Finally, syntenic blocks were used to localize genes identified from transcripts in European flounder as potentially being involved in ecotoxicological and osmoregulatory responses, as well as QTLs associated with growth and disease resistance in Japanese flounder, on the southern flounder linkage map. CONCLUSIONS The information provided by the linkage map will enrich restoration efforts by providing a foundation for interpreting spatial genetic variation within the species, ultimately furthering an understanding of the adaptive potential and resilience of southern flounder to future changes in local environmental conditions. Further, the map will facilitate the use of genetic markers to enhance restoration and commercial aquaculture.
Collapse
Affiliation(s)
- Shannon J O'Leary
- Department of Life Sciences, Marine Genomics Laboratory, Texas A&M University Corpus Christi, 6300 Ocean Drive, Unit 5869, Corpus Christi, TX, 78412, USA.
| | - Christopher M Hollenbeck
- Scottish Oceans Institute, University of St. Andrews, East Sands, St. Andrews, Fife, KY16 8LB, UK
| | - Robert R Vega
- Texas Parks and Wildlife Department, CCA Marine Development Center, 4300 Waldron Road, Corpus Christi, TX, 78418, USA
| | - John R Gold
- Department of Life Sciences, Marine Genomics Laboratory, Texas A&M University Corpus Christi, 6300 Ocean Drive, Unit 5869, Corpus Christi, TX, 78412, USA
| | - David S Portnoy
- Department of Life Sciences, Marine Genomics Laboratory, Texas A&M University Corpus Christi, 6300 Ocean Drive, Unit 5869, Corpus Christi, TX, 78412, USA
| |
Collapse
|
33
|
Gene Expression in the Three-Spined Stickleback (Gasterosteus aculeatus) of Marine and Freshwater Ecotypes. Acta Naturae 2018; 10:66-74. [PMID: 29713520 PMCID: PMC5916735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Three-spine stickleback (Gasterosteus aculeatus) is a well-known model organism that is routinely used to explore microevolution processes and speciation, and the number of studies related to this fish has been growing recently. The main reason for the increased interest is the processes of freshwater adaptation taking place in natural populations of this species. Freshwater three-spined stickleback populations form when marine water three-spined sticklebacks fish start spending their entire lifecycle in freshwater lakes and streams. To boot, these freshwater populations acquire novel biological traits during their adaptation to a freshwater environment. The processes taking place in these populations are of great interest to evolutionary biologists. Here, we present differential gene expression profiling in G. aculeatus gills, which was performed in marine and freshwater populations of sticklebacks. In total, 2,982 differentially expressed genes between marine and freshwater populations were discovered. We assumed that differentially expressed genes were distributed not randomly along stickleback chromosomes and that they are regularly observed in the "divergence islands" that are responsible for stickleback freshwater adaptation.
Collapse
|
34
|
Nadeau NJ, Kawakami T. Population Genomics of Speciation and Admixture. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2018_24] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|
35
|
Differential miRNA expression in the three-spined stickleback, response to environmental changes. Sci Rep 2017; 7:18089. [PMID: 29273769 PMCID: PMC5741757 DOI: 10.1038/s41598-017-18128-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 12/01/2017] [Indexed: 12/13/2022] Open
Abstract
miRNAs play important role in the various physiological and evolutionary processes, however, there is no data allowing comparison of evolutionary differences between various ecotypes adapted to different environmental conditions and specimen demonstrating immediate physiological response to the environmental changes. We compared miRNA expression profiles between marine and freshwater stickleback populations of the three-spined stickleback to identify the evolutionary differences. To study the immediate physiological response to foreign environment, we explored the changes induced by transfer of marine sticklebacks into freshwater environment and vice versa. Comparative analysis of changes in miRNA expression suggested that they are driven by three independent factors: (1) non-specific changes in miRNA expression under different environmental conditions; (2) specific response to freshwater conditions in the marine stickleback ecotype; (3) specific response to extreme osmotic conditions for both marine and freshwater ecotypes during the contact with non-native environment. Gene Ontology enrichment analysis of differential expressed miRNA targets supports our current hypothesis.
Collapse
|
36
|
Schmickl R, Marburger S, Bray S, Yant L. Hybrids and horizontal transfer: introgression allows adaptive allele discovery. JOURNAL OF EXPERIMENTAL BOTANY 2017; 68:5453-5470. [PMID: 29096001 DOI: 10.1093/jxb/erx297] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Evolution has devised countless remarkable solutions to diverse challenges. Understanding the mechanistic basis of these solutions provides insights into how biological systems can be subtly tweaked without maladaptive consequences. The knowledge gained from illuminating these mechanisms is equally important to our understanding of fundamental evolutionary mechanisms as it is to our hopes of developing truly rational plant breeding and synthetic biology. In particular, modern population genomic approaches are proving very powerful in the detection of candidate alleles for mediating consequential adaptations that can be tested functionally. Especially striking are signals gained from contexts involving genetic transfers between populations, closely related species, or indeed between kingdoms. Here we discuss two major classes of these scenarios, adaptive introgression and horizontal gene flow, illustrating discoveries made across kingdoms.
Collapse
Affiliation(s)
- Roswitha Schmickl
- Institute of Botany, The Czech Academy of Sciences, Zámek 1, 252 43 Průhonice, Czech Republic
- Department of Botany, Faculty of Science, Charles University in Prague, Benátská 2, 128 01 Prague, Czech Republic
| | - Sarah Marburger
- Department of Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
| | - Sian Bray
- Department of Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
| | - Levi Yant
- Department of Cell and Developmental Biology, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom
| |
Collapse
|
37
|
Divergence of insulin superfamily ligands, receptors and Igf binding proteins in marine versus freshwater stickleback: Evidence of selection in known and novel genes. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2017; 25:53-61. [PMID: 29149730 DOI: 10.1016/j.cbd.2017.10.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 10/04/2017] [Accepted: 10/23/2017] [Indexed: 11/20/2022]
Abstract
Three-spine stickleback (Gasterosteus aculeatus) is a teleost model for understanding genetic, physiological and morphological changes accompanying freshwater (FW) adaptation. There is growing evidence that the insulin superfamily plays important roles in traits involved in marine and FW adaptation. We performed a candidate gene analysis to look for evidence of selection on 33 insulin superfamily ligand-receptor genes and insulin-like growth factor binding proteins (Igfbp's) in stickleback. Using genotype data from 11 marine and 10 FW populations, we calculated the number of SNPs per site in regulatory and intronic regions, the number of synonymous and nonsynonymous mutations in coding regions, Wright's fixation index (Fst), and performed t-tests to identify SNPs with divergent genotype frequencies between marine/FW versus Atlantic/Pacific populations. Next, we analysed genome-wide transcriptome data from eight tissues to assess differential gene expression. Two Igfbp's (Igfbp2a and Igfbp5a) show evidence of divergent adaptation between life-history types, and a cluster of nonsynonymous mutations in Igfbp5a exhibit high Fst in exons apparently alternatively spliced in gill. We find evidence of selection on the relaxin family ligand-receptor gene pair, Insl3-Rxfp2, known to be involved in male spermatogenesis and bone metabolism, and in the 5' regulatory region of Igf2. We also confirmed the gene and coding sequence of two unannotated relaxin family ligands. These analyses underscore the utility of candidate gene studies and indicate directions for further exploration of the function of insulin superfamily genes in FW adaptation.
Collapse
|
38
|
Raeymaekers JAM, Chaturvedi A, Hablützel PI, Verdonck I, Hellemans B, Maes GE, De Meester L, Volckaert FAM. Adaptive and non-adaptive divergence in a common landscape. Nat Commun 2017; 8:267. [PMID: 28814718 PMCID: PMC5559485 DOI: 10.1038/s41467-017-00256-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 06/15/2017] [Indexed: 01/08/2023] Open
Abstract
Species in a common landscape often face similar selective environments. The capacity of organisms to adapt to these environments may be largely species specific. Quantifying shared and unique adaptive responses across species within landscapes may thus improve our understanding of landscape-moderated biodiversity patterns. Here we test to what extent populations of two coexisting and phylogenetically related fishes—three-spined and nine-spined stickleback—differ in the strength and nature of neutral and adaptive divergence along a salinity gradient. Phenotypic differentiation, neutral genetic differentiation and genomic signatures of adaptation are stronger in the three-spined stickleback. Yet, both species show substantial phenotypic parallelism. In contrast, genomic signatures of adaptation involve different genomic regions, and are thus non-parallel. The relative contribution of spatial and environmental drivers of population divergence in each species reflects different strategies for persistence in the same landscape. These results provide insight in the mechanisms underlying variation in evolutionary versatility and ecological success among species within landscapes. The three-spined stickleback is a model species for the study of adaptive divergence. Here, Raeymaekers et al. compare how the three-spined stickleback and its relative the nine-spined stickleback vary at the phenotypic and genomic levels in response to the same spatial and environmental drivers.
Collapse
Affiliation(s)
- Joost A M Raeymaekers
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium. .,Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, N-7491, Trondheim, Norway. .,Faculty of Biosciences and Aquaculture, Nord University, N-8049, Bodø, Norway.
| | - Anurag Chaturvedi
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium.,Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, B-3000, Leuven, Belgium
| | - Pascal I Hablützel
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium.,Flanders Marine Institute, B-8400, Oostende, Belgium
| | - Io Verdonck
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium
| | - Bart Hellemans
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium
| | - Gregory E Maes
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium.,Genomics Core, Center for Human Genetics, UZ Leuven, B-3000, Leuven, Belgium.,Centre for Sustainable Tropical Fisheries and Aquaculture, Comparative Genomics Centre, College of Science and Engineering, James Cook University, Townsville, QLD, 4811, Australia
| | - Luc De Meester
- Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, B-3000, Leuven, Belgium
| | - Filip A M Volckaert
- Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, B-3000, Leuven, Belgium
| |
Collapse
|
39
|
Buerkle CA. Inconvenient truths in population and speciation genetics point towards a future beyond allele frequencies. J Evol Biol 2017; 30:1498-1500. [DOI: 10.1111/jeb.13106] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 04/21/2017] [Accepted: 04/24/2017] [Indexed: 11/28/2022]
Affiliation(s)
- C. A. Buerkle
- Department of Botany; University of Wyoming; Laramie WY USA
| |
Collapse
|
40
|
Rodríguez A, Rusciano T, Hamilton R, Holmes L, Jordan D, Wollenberg Valero KC. Genomic and phenotypic signatures of climate adaptation in an Anolis lizard. Ecol Evol 2017; 7:6390-6403. [PMID: 28861242 PMCID: PMC5574798 DOI: 10.1002/ece3.2985] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Revised: 02/19/2017] [Accepted: 03/21/2017] [Indexed: 12/15/2022] Open
Abstract
Integrated knowledge on phenotype, physiology, and genomic adaptations is required to understand the effects of climate on evolution. The functional genomic basis of organismal adaptation to changes in the abiotic environment, its phenotypic consequences, and its possible convergence across vertebrates are still understudied. In this study, we use a comparative approach to verify predicted gene functions for vertebrate thermal adaptation with observed functions underlying repeated genomic adaptations in response to elevation in the lizard Anolis cybotes. We establish a direct link between recurrently evolved phenotypes and functional genomics of altitude-related climate adaptation in three highland and lowland populations in the Dominican Republic. We show that across vertebrates, genes contained in this interactome are expressed within the brain, the endocrine system, and during development. These results are relevant to elucidate the effect of global climate change across vertebrates and might aid in furthering insight into gene-environment relationships under disturbances to homeostasis.
Collapse
Affiliation(s)
- Ariel Rodríguez
- Zoological InstituteTechnical University of BraunschweigBraunschweigGermany
- Present address:
Institute of ZoologyUniversity of Veterinary Medicine HannoverHannoverGermany
| | - Tia Rusciano
- Department of Natural ScienceCollege of Science, Engineering and MathematicsBethune‐Cookman UniversityDaytona BeachFLUSA
| | - Rickeisha Hamilton
- Department of Natural ScienceCollege of Science, Engineering and MathematicsBethune‐Cookman UniversityDaytona BeachFLUSA
| | - Leondra Holmes
- Department of Natural ScienceCollege of Science, Engineering and MathematicsBethune‐Cookman UniversityDaytona BeachFLUSA
| | - Deidra Jordan
- School of Integrated Science and HumanityInternational Forensic Research InstituteFlorida International UniversityMiamiFLUSA
| | | |
Collapse
|
41
|
Ragland GJ, Doellman MM, Meyers PJ, Hood GR, Egan SP, Powell THQ, Hahn DA, Nosil P, Feder JL. A test of genomic modularity among life-history adaptations promoting speciation with gene flow. Mol Ecol 2017; 26:3926-3942. [DOI: 10.1111/mec.14178] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 04/12/2017] [Accepted: 04/14/2017] [Indexed: 12/20/2022]
Affiliation(s)
- Gregory J. Ragland
- Department of Biological Sciences; University of Notre Dame; Notre Dame IN USA
- Environmental Change Initiative; University of Notre Dame; Notre Dame IN USA
- Department of Integrative Biology; University of Colorado - Denver; Denver CO USA
| | | | - Peter J. Meyers
- Department of Biological Sciences; University of Notre Dame; Notre Dame IN USA
| | - Glen R. Hood
- Department of Biological Sciences; University of Notre Dame; Notre Dame IN USA
- Department of Biosciences; Rice University; Houston TX USA
| | - Scott P. Egan
- Department of Biological Sciences; University of Notre Dame; Notre Dame IN USA
- Department of Biosciences; Rice University; Houston TX USA
- Advanced Diagnostics and Therapeutics Initiative; University of Notre Dame; Notre Dame IN USA
| | - Thomas H. Q. Powell
- Department of Biological Sciences; University of Notre Dame; Notre Dame IN USA
- Department of Entomology and Nematology; University of Florida; Gainesville FL USA
- Department of Biological Sciences; State University of New York - Binghamton; Binghamton NY USA
| | - Daniel A. Hahn
- Department of Entomology and Nematology; University of Florida; Gainesville FL USA
| | - Patrik Nosil
- Department of Animal and Plant Sciences; University of Sheffield; Sheffield UK
| | - Jeffrey L. Feder
- Department of Biological Sciences; University of Notre Dame; Notre Dame IN USA
- Environmental Change Initiative; University of Notre Dame; Notre Dame IN USA
- Advanced Diagnostics and Therapeutics Initiative; University of Notre Dame; Notre Dame IN USA
| |
Collapse
|
42
|
Grant PR, Grant BR, Huey RB, Johnson MTJ, Knoll AH, Schmitt J. Evolution caused by extreme events. Philos Trans R Soc Lond B Biol Sci 2017; 372:20160146. [PMID: 28483875 PMCID: PMC5434096 DOI: 10.1098/rstb.2016.0146] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/13/2016] [Indexed: 12/15/2022] Open
Abstract
Extreme events can be a major driver of evolutionary change over geological and contemporary timescales. Outstanding examples are evolutionary diversification following mass extinctions caused by extreme volcanism or asteroid impact. The evolution of organisms in contemporary time is typically viewed as a gradual and incremental process that results from genetic change, environmental perturbation or both. However, contemporary environments occasionally experience strong perturbations such as heat waves, floods, hurricanes, droughts and pest outbreaks. These extreme events set up strong selection pressures on organisms, and are small-scale analogues of the dramatic changes documented in the fossil record. Because extreme events are rare, almost by definition, they are difficult to study. So far most attention has been given to their ecological rather than to their evolutionary consequences. We review several case studies of contemporary evolution in response to two types of extreme environmental perturbations, episodic (pulse) or prolonged (press). Evolution is most likely to occur when extreme events alter community composition. We encourage investigators to be prepared for evolutionary change in response to rare events during long-term field studies.This article is part of the themed issue 'Behavioural, ecological and evolutionary responses to extreme climatic events'.
Collapse
Affiliation(s)
- Peter R Grant
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - B Rosemary Grant
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - Raymond B Huey
- Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Marc T J Johnson
- Department of Biology, University of Toronto-Mississauga, Mississauga, Ontario, Canada L5L 1C6
| | - Andrew H Knoll
- Department of Organismal Biology, Harvard University, Cambridge, MA 02138, USA
| | - Johanna Schmitt
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| |
Collapse
|
43
|
Artemov AV, Mugue NS, Rastorguev SM, Zhenilo S, Mazur AM, Tsygankova SV, Boulygina ES, Kaplun D, Nedoluzhko AV, Medvedeva YA, Prokhortchouk EB. Genome-Wide DNA Methylation Profiling Reveals Epigenetic Adaptation of Stickleback to Marine and Freshwater Conditions. Mol Biol Evol 2017; 34:2203-2213. [DOI: 10.1093/molbev/msx156] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
|
44
|
Linkage Mapping and Comparative Genomics of Red Drum ( Sciaenops ocellatus) Using Next-Generation Sequencing. G3-GENES GENOMES GENETICS 2017; 7:843-850. [PMID: 28122951 PMCID: PMC5345714 DOI: 10.1534/g3.116.036350] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Developments in next-generation sequencing allow genotyping of thousands of genetic markers across hundreds of individuals in a cost-effective manner. Because of this, it is now possible to rapidly produce dense genetic linkage maps for nonmodel species. Here, we report a dense genetic linkage map for red drum, a marine fish species of considerable economic importance in the southeastern United States and elsewhere. We used a prior microsatellite-based linkage map as a framework and incorporated 1794 haplotyped contigs derived from high-throughput, reduced representation DNA sequencing to produce a linkage map containing 1794 haplotyped restriction-site associated DNA (RAD) contigs, 437 anonymous microsatellites, and 44 expressed sequence-tag-linked microsatellites (EST-SSRs). A total of 274 candidate genes, identified from transcripts from a preliminary hydrocarbon exposure study, were localized to specific chromosomes, using a shared synteny approach. The linkage map will be a useful resource for red drum commercial and restoration aquaculture, and for better understanding and managing populations of red drum in the wild.
Collapse
|
45
|
Izuno A, Kitayama K, Onoda Y, Tsujii Y, Hatakeyama M, Nagano AJ, Honjo MN, Shimizu-Inatsugi R, Kudoh H, Shimizu KK, Isagi Y. The population genomic signature of environmental association and gene flow in an ecologically divergent tree species Metrosideros polymorpha
(Myrtaceae). Mol Ecol 2017; 26:1515-1532. [DOI: 10.1111/mec.14016] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Revised: 12/13/2016] [Accepted: 12/28/2016] [Indexed: 12/23/2022]
Affiliation(s)
- Ayako Izuno
- Graduate School of Agriculture; Kyoto University; Kitashirakawa Oiwake-cho, Sakyo-ku Kyoto 606-8502 Japan
- Department of Evolutionary Biology and Environmental Studies; University of Zurich; Winterthurerstrasse 190 8057 Zurich Switzerland
| | - Kanehiro Kitayama
- Graduate School of Agriculture; Kyoto University; Kitashirakawa Oiwake-cho, Sakyo-ku Kyoto 606-8502 Japan
| | - Yusuke Onoda
- Graduate School of Agriculture; Kyoto University; Kitashirakawa Oiwake-cho, Sakyo-ku Kyoto 606-8502 Japan
| | - Yuki Tsujii
- Graduate School of Agriculture; Kyoto University; Kitashirakawa Oiwake-cho, Sakyo-ku Kyoto 606-8502 Japan
| | - Masaomi Hatakeyama
- Department of Evolutionary Biology and Environmental Studies; University of Zurich; Winterthurerstrasse 190 8057 Zurich Switzerland
- Functional Genomics Center Zurich; Winterthurerstrasse 190 8057 Zurich Switzerland
| | - Atsushi J. Nagano
- Faculty of Agriculture; Ryukoku University; 1-5 Yokatani, Seta Ohe-cho Otsu Shiga 520-2194 Japan
- PRESTO, Japan Science and Technology Agency; 4-1-8 Honcho Kawaguchi, Saitama 332-0012 Japan
- Center for Ecological Research; Kyoto University; 2-509-3 Hirano Otsu Shiga 520-2113 Japan
| | - Mie N. Honjo
- Center for Ecological Research; Kyoto University; 2-509-3 Hirano Otsu Shiga 520-2113 Japan
| | - Rie Shimizu-Inatsugi
- Department of Evolutionary Biology and Environmental Studies; University of Zurich; Winterthurerstrasse 190 8057 Zurich Switzerland
| | - Hiroshi Kudoh
- Center for Ecological Research; Kyoto University; 2-509-3 Hirano Otsu Shiga 520-2113 Japan
| | - Kentaro K. Shimizu
- Department of Evolutionary Biology and Environmental Studies; University of Zurich; Winterthurerstrasse 190 8057 Zurich Switzerland
- Center for Ecological Research; Kyoto University; 2-509-3 Hirano Otsu Shiga 520-2113 Japan
- Kihara Institute for Biological Research; Yokohama City University; 641-12 Maioka, Totsuka-ward Yokohama Kanagawa 244-0813 Japan
| | - Yuji Isagi
- Graduate School of Agriculture; Kyoto University; Kitashirakawa Oiwake-cho, Sakyo-ku Kyoto 606-8502 Japan
| |
Collapse
|
46
|
Saltz JB, Hessel FC, Kelly MW. Trait Correlations in the Genomics Era. Trends Ecol Evol 2017; 32:279-290. [PMID: 28139251 DOI: 10.1016/j.tree.2016.12.008] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 12/21/2016] [Accepted: 12/22/2016] [Indexed: 01/30/2023]
Abstract
Thinking about the evolutionary causes and consequences of trait correlations has been dominated by quantitative genetics theory that is focused on hypothetical loci. Since this theory was initially developed, technology has enabled the identification of specific genetic variants that contribute to trait correlations. Here, we review studies of the genetic basis of trait correlations to ask: What has this new information taught us? We find that causal variants can be pleiotropic and/or linked in different ways, indicating that pleiotropy and linkage are not alternative genetic mechanisms. Further, many trait correlations have a polygenic basis, suggesting that both pleiotropy and linkage likely contribute. We discuss implications of these findings for the evolutionary causes and consequences of trait correlations.
Collapse
Affiliation(s)
- Julia B Saltz
- Rice University,6100 Main Street, Houston, TX 77005, USA.
| | - Frances C Hessel
- Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Morgan W Kelly
- Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA
| |
Collapse
|
47
|
Larson WA, Limborg MT, McKinney GJ, Schindler DE, Seeb JE, Seeb LW. Genomic islands of divergence linked to ecotypic variation in sockeye salmon. Mol Ecol 2016; 26:554-570. [PMID: 27864910 DOI: 10.1111/mec.13933] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 10/14/2016] [Accepted: 10/25/2016] [Indexed: 12/14/2022]
Abstract
Regions of the genome displaying elevated differentiation (genomic islands of divergence) are thought to play an important role in local adaptation, especially in populations experiencing high gene flow. However, the characteristics of these islands as well as the functional significance of genes located within them remain largely unknown. Here, we used data from thousands of SNPs aligned to a linkage map to investigate genomic islands of divergence in three ecotypes of sockeye salmon (Oncorhynchus nerka) from a single drainage in southwestern Alaska. We found ten islands displaying high differentiation among ecotypes. Conversely, neutral structure observed throughout the rest of the genome was low and not partitioned by ecotype. One island on linkage group So13 was particularly large and contained six SNPs with FST > 0.14 (average FST of neutral SNPs = 0.01). Functional annotation revealed that the peak of this island contained a nonsynonymous mutation in a gene involved in growth in other species (TULP4). The islands that we discovered were relatively small (80-402 Kb), loci found in islands did not show reduced levels of diversity, and loci in islands displayed slightly elevated linkage disequilibrium. These attributes suggest that the islands discovered here were likely generated by divergence hitchhiking; however, we cannot rule out the possibility that other mechanisms may have produced them. Our results suggest that islands of divergence serve an important role in local adaptation with gene flow and represent a significant advance towards understanding the genetic basis of ecotypic differentiation.
Collapse
Affiliation(s)
- Wesley A Larson
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Box 355020, Seattle, WA, 98195-5020, USA
| | - Morten T Limborg
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Box 355020, Seattle, WA, 98195-5020, USA
| | - Garrett J McKinney
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Box 355020, Seattle, WA, 98195-5020, USA
| | - Daniel E Schindler
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Box 355020, Seattle, WA, 98195-5020, USA
| | - James E Seeb
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Box 355020, Seattle, WA, 98195-5020, USA
| | - Lisa W Seeb
- School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, Box 355020, Seattle, WA, 98195-5020, USA
| |
Collapse
|
48
|
The genome of the Gulf pipefish enables understanding of evolutionary innovations. Genome Biol 2016; 17:258. [PMID: 27993155 PMCID: PMC5168715 DOI: 10.1186/s13059-016-1126-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 12/05/2016] [Indexed: 11/10/2022] Open
Abstract
Background Evolutionary origins of derived morphologies ultimately stem from changes in protein structure, gene regulation, and gene content. A well-assembled, annotated reference genome is a central resource for pursuing these molecular phenomena underlying phenotypic evolution. We explored the genome of the Gulf pipefish (Syngnathus scovelli), which belongs to family Syngnathidae (pipefishes, seahorses, and seadragons). These fishes have dramatically derived bodies and a remarkable novelty among vertebrates, the male brood pouch. Results We produce a reference genome, condensed into chromosomes, for the Gulf pipefish. Gene losses and other changes have occurred in pipefish hox and dlx clusters and in the tbx and pitx gene families, candidate mechanisms for the evolution of syngnathid traits, including an elongated axis and the loss of ribs, pelvic fins, and teeth. We measure gene expression changes in pregnant versus non-pregnant brood pouch tissue and characterize the genomic organization of duplicated metalloprotease genes (patristacins) recruited into the function of this novel structure. Phylogenetic inference using ultraconserved sequences provides an alternative hypothesis for the relationship between orders Syngnathiformes and Scombriformes. Comparisons of chromosome structure among percomorphs show that chromosome number in a pipefish ancestor became reduced via chromosomal fusions. Conclusions The collected findings from this first syngnathid reference genome open a window into the genomic underpinnings of highly derived morphologies, demonstrating that de novo production of high quality and useful reference genomes is within reach of even small research groups. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1126-6) contains supplementary material, which is available to authorized users.
Collapse
|
49
|
Pan Y, Wang X, Sun G, Li F, Gong X. Application of RAD Sequencing for Evaluating the Genetic Diversity of Domesticated Panax notoginseng (Araliaceae). PLoS One 2016; 11:e0166419. [PMID: 27846268 PMCID: PMC5112861 DOI: 10.1371/journal.pone.0166419] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 10/29/2016] [Indexed: 11/19/2022] Open
Abstract
Panax notoginseng, a traditional Chinese medicinal plant, has been cultivated and domesticated for approximately 400 years, mainly in Yunnan and Guangxi, two provinces in southwest China. This species was named according to cultivated rather than wild individuals, and no wild populations had been found until now. The genetic resources available on farms are important for both breeding practices and resource conservation. In the present study, the recently developed technology RADseq, which is based on next-generation sequencing, was used to analyze the genetic variation and differentiation of P. notoginseng. The nucleotide diversity and heterozygosity results indicated that P. notoginseng had low genetic diversity at both the species and population levels. Almost no genetic differentiation has been detected, and all populations were genetically similar due to strong gene flow and insufficient splitting time. Although the genetic diversity of P. notoginseng was low at both species and population levels, several traditional plantations had relatively high genetic diversity, as revealed by the He and π values and by the private allele numbers. These valuable genetic resources should be protected as soon as possible to facilitate future breeding projects. The possible geographical origin of Sanqi domestication was discussed based on the results of the genetic diversity analysis.
Collapse
Affiliation(s)
- Yuezhi Pan
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
| | - Xueqin Wang
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, China
| | - Guiling Sun
- Yunnan Key Laboratory for Wild Plant Resources, Kunming, China
| | - Fusheng Li
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
| | - Xun Gong
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| |
Collapse
|
50
|
Grillo MA, De Mita S, Burke PV, Solórzano-Lowell KLS, Heath KD. Intrapopulation genomics in a model mutualist: Population structure and candidate symbiosis genes under selection in Medicago truncatula. Evolution 2016; 70:2704-2717. [PMID: 27757965 DOI: 10.1111/evo.13095] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Revised: 10/05/2016] [Accepted: 10/10/2016] [Indexed: 01/15/2023]
Abstract
Bottom-up evolutionary approaches, including geographically explicit population genomic analyses, have the power to reveal the mechanistic basis of adaptation. Here, we conduct a population genomic analysis in the model legume, Medicago truncatula, to characterize population genetic structure and identify symbiosis-related genes showing evidence of spatially variable selection. Using RAD-seq, we generated over 26,000 SNPs from 191 accessions from within three regions of the native range in Europe. Results from STRUCTURE analysis identify five distinct genetic clusters with divisions that separate east and west regions in the Mediterranean basin. Much of the genetic variation is maintained within sampling sites, and there is evidence for isolation by distance. Extensive linkage disequilibrium was identified, particularly within populations. We conducted genetic outlier analysis with FST -based genome scans and a Bayesian modeling approach (PCAdapt). There were 70 core outlier loci shared between these distinct methods with one clear candidate symbiosis related gene, DMI1. This work sets that stage for functional experiments to determine the important phenotypes that selection has acted upon and complementary efforts in rhizobium populations.
Collapse
Affiliation(s)
- Michael A Grillo
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
| | - Stephane De Mita
- INRA Nancy-Lorraine, UMR 1136 Interactions Arbres Microorganismes, Route d'Amance, 54280, Champenoux, France
| | - Patricia V Burke
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
| | | | - Katy D Heath
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
| |
Collapse
|