101
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Mwacharo JM, Kim ES, Elbeltagy AR, Aboul-Naga AM, Rischkowsky BA, Rothschild MF. Genomic footprints of dryland stress adaptation in Egyptian fat-tail sheep and their divergence from East African and western Asia cohorts. Sci Rep 2017; 7:17647. [PMID: 29247174 PMCID: PMC5732286 DOI: 10.1038/s41598-017-17775-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 11/20/2017] [Indexed: 01/08/2023] Open
Abstract
African indigenous sheep are classified as fat-tail, thin-tail and fat-rump hair sheep. The fat-tail are well adapted to dryland environments, but little is known on their genome profiles. We analyzed patterns of genomic variation by genotyping, with the Ovine SNP50K microarray, 394 individuals from five populations of fat-tail sheep from a desert environment in Egypt. Comparative inferences with other East African and western Asia fat-tail and European sheep, reveal at least two phylogeographically distinct genepools of fat-tail sheep in Africa that differ from the European genepool, suggesting separate evolutionary and breeding history. We identified 24 candidate selection sweep regions, spanning 172 potentially novel and known genes, which are enriched with genes underpinning dryland adaptation physiology. In particular, we found selection sweeps spanning genes and/or pathways associated with metabolism; response to stress, ultraviolet radiation, oxidative stress and DNA damage repair; activation of immune response; regulation of reproduction, organ function and development, body size and morphology, skin and hair pigmentation, and keratinization. Our findings provide insights on the complexity of genome architecture regarding dryland stress adaptation in the fat-tail sheep and showcase the indigenous stocks as appropriate genotypes for adaptation planning to sustain livestock production and human livelihoods, under future climates.
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Affiliation(s)
- Joram M Mwacharo
- Small Ruminant Genomics Group, International Center for Agricultural Research in the Dry Areas (ICARDA), P. O. Box 5689, Addis Ababa, Ethiopia.
| | - Eui-Soo Kim
- Department of Animal Science, Iowa State University, 2255 Kildee Hall, Ames, IA, 50011-3150, USA
| | - Ahmed R Elbeltagy
- Animal Production Research Institute (APRI), Agriculture Research Centre (ARC), Ministry of Agriculture, Nadi Elsaid Street, Dokki, Cairo, Egypt
| | - Adel M Aboul-Naga
- Animal Production Research Institute (APRI), Agriculture Research Centre (ARC), Ministry of Agriculture, Nadi Elsaid Street, Dokki, Cairo, Egypt
| | - Barbara A Rischkowsky
- Small Ruminant Genomics Group, International Center for Agricultural Research in the Dry Areas (ICARDA), P. O. Box 5689, Addis Ababa, Ethiopia
| | - Max F Rothschild
- Department of Animal Science, Iowa State University, 2255 Kildee Hall, Ames, IA, 50011-3150, USA
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102
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Campos BM, do Carmo AS, da Silva TBR, Verardo LL, de Simoni Gouveia JJ, Mendes Malhado CH, Barbosa da Silva MVG, Souza Carneiro PL. Identification of artificial selection signatures in Caracu breed lines selected for milk production and meat production. Livest Sci 2017. [DOI: 10.1016/j.livsci.2017.10.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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103
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Berner D, Roesti M. Genomics of adaptive divergence with chromosome-scale heterogeneity in crossover rate. Mol Ecol 2017; 26:6351-6369. [PMID: 28994152 DOI: 10.1111/mec.14373] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 09/15/2017] [Accepted: 09/18/2017] [Indexed: 12/17/2022]
Abstract
Genetic differentiation between divergent populations is often greater in chromosome centres than peripheries. Commonly overlooked, this broadscale differentiation pattern is sometimes ascribed to heterogeneity in crossover rate and hence linked selection within chromosomes, but the underlying mechanisms remain incompletely understood. A literature survey across 46 organisms reveals that most eukaryotes indeed exhibit a reduced crossover rate in chromosome centres relative to the peripheries. Using simulations of populations diverging into ecologically different habitats through sorting of standing genetic variation, we demonstrate that such chromosome-scale heterogeneity in crossover rate, combined with polygenic divergent selection, causes stronger hitchhiking and especially barriers to gene flow across chromosome centres. Without requiring selection on new mutations, this rapidly leads to elevated population differentiation in the low-crossover centres relative to the high-crossover peripheries of chromosomes ("Chromosome Centre-Biased Differentiation", CCBD). Using simulated and empirical data, we then show that strong CCBD between populations can provide evidence of polygenic adaptive divergence with a phase of gene flow. We further demonstrate that chromosome-scale heterogeneity in crossover rate impacts analyses beyond that of population differentiation, including the inference of phylogenies and parallel adaptive evolution among populations, the detection of genetic loci under selection, and the interpretation of the strength of selection on genomic regions. Overall, our results call for a greater appreciation of chromosome-scale heterogeneity in crossover rate in evolutionary genomics.
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Affiliation(s)
- Daniel Berner
- Zoological Institute, University of Basel, Basel, Switzerland
| | - Marius Roesti
- Zoological Institute, University of Basel, Basel, Switzerland.,Department of Zoology, University of British Columbia, Vancouver, BC, Canada
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104
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Harris SE, Munshi-South J. Signatures of positive selection and local adaptation to urbanization in white-footed mice (Peromyscus leucopus). Mol Ecol 2017; 26:6336-6350. [PMID: 28980357 DOI: 10.1111/mec.14369] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Accepted: 09/25/2017] [Indexed: 02/06/2023]
Abstract
Urbanization significantly alters natural ecosystems and has accelerated globally. Urban wildlife populations are often highly fragmented by human infrastructure, and isolated populations may adapt in response to local urban pressures. However, relatively few studies have identified genomic signatures of adaptation in urban animals. We used a landscape genomic approach to examine signatures of selection in urban populations of white-footed mice (Peromyscus leucopus) in New York City. We analysed 154,770 SNPs identified from transcriptome data from 48 P. leucopus individuals from three urban and three rural populations and used outlier tests to identify evidence of urban adaptation. We accounted for demography by simulating a neutral SNP data set under an inferred demographic history as a null model for outlier analysis. We also tested whether candidate genes were associated with environmental variables related to urbanization. In total, we detected 381 outlier loci and after stringent filtering, identified and annotated 19 candidate loci. Many of the candidate genes were involved in metabolic processes and have well-established roles in metabolizing lipids and carbohydrates. Our results indicate that white-footed mice in New York City are adapting at the biomolecular level to local selective pressures in urban habitats. Annotation of outlier loci suggests selection is acting on metabolic pathways in urban populations, likely related to novel diets in cities that differ from diets in less disturbed areas.
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Affiliation(s)
- Stephen E Harris
- The Graduate Center, City University of New York (CUNY), New York, NY, USA
| | - Jason Munshi-South
- Louis Calder Center-Biological Field Station, Fordham University, Armonk, NY, USA
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105
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Akakpo R, Scarcelli N, Chaïr H, Dansi A, Djedatin G, Thuillet AC, Rhoné B, François O, Alix K, Vigouroux Y. Molecular basis of African yam domestication: analyses of selection point to root development, starch biosynthesis, and photosynthesis related genes. BMC Genomics 2017; 18:782. [PMID: 29025393 PMCID: PMC5639766 DOI: 10.1186/s12864-017-4143-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 10/02/2017] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND After cereals, root and tuber crops are the main source of starch in the human diet. Starch biosynthesis was certainly a significant target for selection during the domestication of these crops. But domestication of these root and tubers crops is also associated with gigantism of storage organs and changes of habitat. RESULTS We studied here, the molecular basis of domestication in African yam, Dioscorea rotundata. The genomic diversity in the cultivated species is roughly 30% less important than its wild relatives. Two percent of all the genes studied showed evidences of selection. Two genes associated with the earliest stages of starch biosynthesis and storage, the sucrose synthase 4 and the sucrose-phosphate synthase 1 showed evidence of selection. An adventitious root development gene, a SCARECROW-LIKE gene was also selected during yam domestication. Significant selection for genes associated with photosynthesis and phototropism were associated with wild to cultivated change of habitat. If the wild species grow as vines in the shade of their tree tutors, cultivated yam grows in full light in open fields. CONCLUSIONS Major rewiring of aerial development and adaptation for efficient photosynthesis in full light characterized yam domestication.
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Affiliation(s)
- Roland Akakpo
- Institut de Recherche pour le Développement, Université de Montpellier, Unité Mixte de Recherche Diversité Adaptation et Développement des Plantes (UMR DIADE), 911, avenue Agropolis, 34394 Montpellier, France
- Unité Mixte de Recherche Génétique Quantitative et Evolutive – Le Moulon, INRA – Univ. Paris-Sud – CNRS – AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
- Faculté des Sciences et Techniques de Dassa, Laboratoire de Biotechnologie, Ressources Génétiques et Amélioration des Espèces Animales et Végétales (BIORAVE), Université d’Abomey, Dassa-Zoumè, Benin
| | - Nora Scarcelli
- Institut de Recherche pour le Développement, Université de Montpellier, Unité Mixte de Recherche Diversité Adaptation et Développement des Plantes (UMR DIADE), 911, avenue Agropolis, 34394 Montpellier, France
| | - Hana Chaïr
- Centre International de la Recherche Agronomique pour le Développement, UMR AGAP, F-34398 Montpellier, France
| | - Alexandre Dansi
- Faculté des Sciences et Techniques de Dassa, Laboratoire de Biotechnologie, Ressources Génétiques et Amélioration des Espèces Animales et Végétales (BIORAVE), Université d’Abomey, Dassa-Zoumè, Benin
| | - Gustave Djedatin
- Faculté des Sciences et Techniques de Dassa, Laboratoire de Biotechnologie, Ressources Génétiques et Amélioration des Espèces Animales et Végétales (BIORAVE), Université d’Abomey, Dassa-Zoumè, Benin
| | - Anne-Céline Thuillet
- Institut de Recherche pour le Développement, Université de Montpellier, Unité Mixte de Recherche Diversité Adaptation et Développement des Plantes (UMR DIADE), 911, avenue Agropolis, 34394 Montpellier, France
| | - Bénédicte Rhoné
- Institut de Recherche pour le Développement, Université de Montpellier, Unité Mixte de Recherche Diversité Adaptation et Développement des Plantes (UMR DIADE), 911, avenue Agropolis, 34394 Montpellier, France
- Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, Lyon, France
| | | | - Karine Alix
- Unité Mixte de Recherche Génétique Quantitative et Evolutive – Le Moulon, INRA – Univ. Paris-Sud – CNRS – AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Yves Vigouroux
- Institut de Recherche pour le Développement, Université de Montpellier, Unité Mixte de Recherche Diversité Adaptation et Développement des Plantes (UMR DIADE), 911, avenue Agropolis, 34394 Montpellier, France
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106
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Fahrenkrog AM, Neves LG, Resende MFR, Dervinis C, Davenport R, Barbazuk WB, Kirst M. Population genomics of the eastern cottonwood ( Populus deltoides). Ecol Evol 2017; 7:9426-9440. [PMID: 29187979 PMCID: PMC5696417 DOI: 10.1002/ece3.3466] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 08/14/2017] [Accepted: 08/16/2017] [Indexed: 12/30/2022] Open
Abstract
Despite its economic importance as a bioenergy crop and key role in riparian ecosystems, little is known about genetic diversity and adaptation of the eastern cottonwood (Populus deltoides). Here, we report the first population genomics study for this species, conducted on a sample of 425 unrelated individuals collected in 13 states of the southeastern United States. The trees were genotyped by targeted resequencing of 18,153 genes and 23,835 intergenic regions, followed by the identification of single nucleotide polymorphisms (SNPs). This natural P. deltoides population showed low levels of subpopulation differentiation (FST = 0.022–0.106), high genetic diversity (θW = 0.00100, π = 0.00170), a large effective population size (Ne ≈ 32,900), and low to moderate levels of linkage disequilibrium. Additionally, genomewide scans for selection (Tajima's D), subpopulation differentiation (XTX), and environmental association analyses with eleven climate variables carried out with two different methods (LFMM and BAYENV2) identified genes putatively involved in local adaptation. Interestingly, many of these genes were also identified as adaptation candidates in another poplar species, Populus trichocarpa, indicating possible convergent evolution. This study constitutes the first assessment of genetic diversity and local adaptation in P. deltoides throughout the southern part of its range, information we expect to be of use to guide management and breeding strategies for this species in future, especially in the face of climate change.
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Affiliation(s)
- Annette M Fahrenkrog
- School of Forest Resources and Conservation University of Florida Gainesville FL USA.,Plant Molecular and Cellular Biology Graduate Program University of Florida Gainesville FL USA
| | - Leandro G Neves
- School of Forest Resources and Conservation University of Florida Gainesville FL USA.,Plant Molecular and Cellular Biology Graduate Program University of Florida Gainesville FL USA.,Present address: RAPiD Genomics LLC756 2nd Avenue Gainesville FL 32601 USA
| | - Márcio F R Resende
- Horticultural Sciences Department University of Florida Gainesville FL USA
| | - Christopher Dervinis
- School of Forest Resources and Conservation University of Florida Gainesville FL USA
| | - Ruth Davenport
- Biology Department University of Florida Gainesville FL USA
| | - W Brad Barbazuk
- Biology Department University of Florida Gainesville FL USA.,University of Florida Genetics Institute University of Florida Gainesville FL USA
| | - Matias Kirst
- School of Forest Resources and Conservation University of Florida Gainesville FL USA.,University of Florida Genetics Institute University of Florida Gainesville FL USA
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107
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Vahdati AR, Sprouffske K, Wagner A. Effect of Population Size and Mutation Rate on the Evolution of RNA Sequences on an Adaptive Landscape Determined by RNA Folding. Int J Biol Sci 2017; 13:1138-1151. [PMID: 29104505 PMCID: PMC5666329 DOI: 10.7150/ijbs.19436] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 07/05/2017] [Indexed: 02/04/2023] Open
Abstract
The dynamics of populations evolving on an adaptive landscape depends on multiple factors, including the structure of the landscape, the rate of mutations, and effective population size. Existing theoretical work often makes ad hoc and simplifying assumptions about landscape structure, whereas experimental work can vary important parameters only to a limited extent. We here overcome some of these limitations by simulating the adaptive evolution of RNA molecules, whose fitness is determined by the thermodynamics of RNA secondary structure folding. We study the influence of mutation rates and population sizes on final mean population fitness, on the substitution rates of mutations, and on population diversity. We show that evolutionary dynamics cannot be understood as a function of mutation rate µ, population size N, or population mutation rate Nµ alone. For example, at a given mutation rate, clonal interference prevents the fixation of beneficial mutations as population size increases, but larger populations still arrive at a higher mean fitness. In addition, at the highest population mutation rates we study, mean final fitness increases with population size, because small populations are driven to low fitness by the relatively higher incidence of mutations they experience. Our observations show that mutation rate and population size can interact in complex ways to influence the adaptive dynamics of a population on a biophysically motivated fitness landscape.
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Affiliation(s)
- Ali R Vahdati
- Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,The Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Kathleen Sprouffske
- Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,The Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Andreas Wagner
- Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,The Swiss Institute of Bioinformatics, Lausanne, Switzerland.,The Santa Fe Institute, Santa Fe, USA
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108
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Peyrégne S, Boyle MJ, Dannemann M, Prüfer K. Detecting ancient positive selection in humans using extended lineage sorting. Genome Res 2017; 27:1563-1572. [PMID: 28720580 PMCID: PMC5580715 DOI: 10.1101/gr.219493.116] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 07/05/2017] [Indexed: 01/20/2023]
Abstract
Natural selection that affected modern humans early in their evolution has likely shaped some of the traits that set present-day humans apart from their closest extinct and living relatives. The ability to detect ancient natural selection in the human genome could provide insights into the molecular basis for these human-specific traits. Here, we introduce a method for detecting ancient selective sweeps by scanning for extended genomic regions where our closest extinct relatives, Neandertals and Denisovans, fall outside of the present-day human variation. Regions that are unusually long indicate the presence of lineages that reached fixation in the human population faster than expected under neutral evolution. Using simulations, we show that the method is able to detect ancient events of positive selection and that it can differentiate those from background selection. Applying our method to the 1000 Genomes data set, we find evidence for ancient selective sweeps favoring regulatory changes and present a list of genomic regions that are predicted to underlie positively selected human specific traits.
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Affiliation(s)
- Stéphane Peyrégne
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Michael James Boyle
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Michael Dannemann
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Kay Prüfer
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
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109
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Graves JL, Hertweck KL, Phillips MA, Han MV, Cabral LG, Barter TT, Greer LF, Burke MK, Mueller LD, Rose MR. Genomics of Parallel Experimental Evolution in Drosophila. Mol Biol Evol 2017; 34:831-842. [PMID: 28087779 PMCID: PMC5400383 DOI: 10.1093/molbev/msw282] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
What are the genomic foundations of adaptation in sexual populations? We address this question using fitness–character and whole-genome sequence data from 30 Drosophila laboratory populations. These 30 populations are part of a nearly 40-year laboratory radiation featuring 3 selection regimes, each shared by 10 populations for up to 837 generations, with moderately large effective population sizes. Each of 3 sets of the 10 populations that shared a selection regime consists of 5 populations that have long been maintained under that selection regime, paired with 5 populations that had only recently been subjected to that selection regime. We find a high degree of evolutionary parallelism in fitness phenotypes when most-recent selection regimes are shared, as in previous studies from our laboratory. We also find genomic parallelism with respect to the frequencies of single-nucleotide polymorphisms, transposable elements, insertions, and structural variants, which was expected. Entirely unexpected was a high degree of parallelism for linkage disequilibrium. The evolutionary genetic changes among these sexual populations are rapid and genomically extensive. This pattern may be due to segregating functional genetic variation that is abundantly maintained genome-wide by selection, variation that responds immediately to changes of selection regime.
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Affiliation(s)
- J L Graves
- Joint School of Nanoscience and Nanoengineering, North Carolina A&T State University and UNC Greensboro, Greensboro, NC
| | - K L Hertweck
- Department of Biology, The University of Texas at Tyler, Tyler, TX
| | - M A Phillips
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA
| | - M V Han
- School of Life Sciences, University of Nevada, Las Vegas, NV
| | - L G Cabral
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA
| | - T T Barter
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA
| | - L F Greer
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA
| | - M K Burke
- Department of Integrative Biology, Oregon State University, Corvallis, OR
| | - L D Mueller
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA
| | - M R Rose
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA
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110
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Meadows JRS, Lindblad-Toh K. Dissecting evolution and disease using comparative vertebrate genomics. Nat Rev Genet 2017; 18:624-636. [DOI: 10.1038/nrg.2017.51] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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111
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Kober KM, Pogson GH. Genome-wide signals of positive selection in strongylocentrotid sea urchins. BMC Genomics 2017; 18:555. [PMID: 28732465 PMCID: PMC5521101 DOI: 10.1186/s12864-017-3944-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 07/13/2017] [Indexed: 12/21/2022] Open
Abstract
Background Comparative genomics studies investigating the signals of positive selection among groups of closely related species are still rare and limited in taxonomic breadth. Such studies show great promise in advancing our knowledge about the proportion and the identity of genes experiencing diversifying selection. However, methodological challenges have led to high levels of false positives in past studies. Here, we use the well-annotated genome of the purple sea urchin, Strongylocentrotus purpuratus, as a reference to investigate the signals of positive selection at 6520 single-copy orthologs from nine sea urchin species belonging to the family Strongylocentrotidae paying careful attention to minimizing false positives. Results We identified 1008 (15.5%) candidate positive selection genes (PSGs). Tests for positive selection along the nine terminal branches of the phylogeny identified 824 genes that showed lineage-specific adaptive diversification (1.67% of branch-sites tests performed). Positively selected codons were not enriched at exon borders or near regions containing missing data, suggesting a limited contribution of false positives caused by alignment or annotation errors. Alignments were validated at 10 loci with re-sequencing using Sanger methods. No differences were observed in the rates of synonymous substitution (dS), GC content, and codon bias between the candidate PSGs and those not showing positive selection. However, the candidate PSGs had 68% higher rates of nonsynonymous substitution (dN) and 33% lower levels of heterozygosity, consistent with selective sweeps and opposite to that expected by a relaxation of selective constraint. Although positive selection was identified at reproductive proteins and innate immunity genes, the strongest signals of adaptive diversification were observed at extracellular matrix proteins, cell adhesion molecules, membrane receptors, and ion channels. Many candidate PSGs have been widely implicated as targets of pathogen binding, inactivation, mimicry, or exploitation in other groups (notably mammals). Conclusions Our study confirmed the widespread action of positive selection across sea urchin genomes and allowed us to reject the possibility that annotation and alignment errors (including paralogs) were responsible for creating false signals of adaptive molecular divergence. The candidate PSGs identified in our study represent promising targets for future research into the selective agents responsible for their adaptive diversification and their contribution to speciation. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3944-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kord M Kober
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, USA. .,Institute for Computational Health Sciences, University of California, San Francisco, USA. .,Present address: Department of Physiological Nursing, University of California, San Francisco, USA.
| | - Grant H Pogson
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, USA
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112
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Byars SG, Huang QQ, Gray LA, Bakshi A, Ripatti S, Abraham G, Stearns SC, Inouye M. Genetic loci associated with coronary artery disease harbor evidence of selection and antagonistic pleiotropy. PLoS Genet 2017; 13:e1006328. [PMID: 28640878 PMCID: PMC5480811 DOI: 10.1371/journal.pgen.1006328] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 05/02/2017] [Indexed: 12/18/2022] Open
Abstract
Traditional genome-wide scans for positive selection have mainly uncovered selective sweeps associated with monogenic traits. While selection on quantitative traits is much more common, very few signals have been detected because of their polygenic nature. We searched for positive selection signals underlying coronary artery disease (CAD) in worldwide populations, using novel approaches to quantify relationships between polygenic selection signals and CAD genetic risk. We identified new candidate adaptive loci that appear to have been directly modified by disease pressures given their significant associations with CAD genetic risk. These candidates were all uniquely and consistently associated with many different male and female reproductive traits suggesting selection may have also targeted these because of their direct effects on fitness. We found that CAD loci are significantly enriched for lifetime reproductive success relative to the rest of the human genome, with evidence that the relationship between CAD and lifetime reproductive success is antagonistic. This supports the presence of antagonistic-pleiotropic tradeoffs on CAD loci and provides a novel explanation for the maintenance and high prevalence of CAD in modern humans. Lastly, we found that positive selection more often targeted CAD gene regulatory variants using HapMap3 lymphoblastoid cell lines, which further highlights the unique biological significance of candidate adaptive loci underlying CAD. Our study provides a novel approach for detecting selection on polygenic traits and evidence that modern human genomes have evolved in response to CAD-induced selection pressures and other early-life traits sharing pleiotropic links with CAD.
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Affiliation(s)
- Sean G. Byars
- Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Qin Qin Huang
- Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Lesley-Ann Gray
- Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Andrew Bakshi
- Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Samuli Ripatti
- Institute of Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Gad Abraham
- Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Stephen C. Stearns
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States of America
| | - Michael Inouye
- Centre for Systems Genomics, School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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113
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Veale AJ, Russello MA. An ancient selective sweep linked to reproductive life history evolution in sockeye salmon. Sci Rep 2017; 7:1747. [PMID: 28496186 PMCID: PMC5431894 DOI: 10.1038/s41598-017-01890-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Accepted: 04/05/2017] [Indexed: 11/09/2022] Open
Abstract
Study of parallel (or convergent) phenotypic evolution can provide important insights into processes driving sympatric, ecologically-mediated divergence and speciation, as ecotype pairs may provide a biological replicate of the underlying signals and mechanisms. Here, we provide evidence for a selective sweep creating an island of divergence associated with reproductive behavior in sockeye salmon (Oncorhynchus nerka), identifying a series of linked single nucleotide polymorphisms across a ~22,733 basepair region spanning the leucine-rich repeat-containing protein 9 gene exhibiting signatures of divergent selection associated with stream- and shore-spawning in both anadromous and resident forms across their pan-Pacific distribution. This divergence likely occurred ~3.8 Mya (95% HPD = 2.1–6.03 Mya), after sockeye separated from pink (O. gorbuscha) and chum (O. keta) salmon, but prior to the Pleistocene glaciations. Our results suggest recurrent evolution of reproductive ecotypes across the native range of O. nerka is at least partially associated with divergent selection of pre-existing genetic variation within or linked to this region. As sockeye salmon are unique among Pacific salmonids in their flexibility to spawn in lake-shore benthic environments, this region provides great promise for continued investigation of the genomic basis of O. nerka life history evolution, and, more broadly, for increasing our understanding of the heritable basis of adaptation of complex traits in novel environments.
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Affiliation(s)
- Andrew J Veale
- Department of Biology, The University of British Columbia, Okanagan Campus, 3247 University Way, Kelowna, British Columbia, V1V 1V7, Canada.,Department of Zoology, University of Otago, 340 Great King Street, Dunedin, 9016, New Zealand
| | - Michael A Russello
- Department of Biology, The University of British Columbia, Okanagan Campus, 3247 University Way, Kelowna, British Columbia, V1V 1V7, Canada.
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114
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Leung MCK, Procter AC, Goldstone JV, Foox J, DeSalle R, Mattingly CJ, Siddall ME, Timme-Laragy AR. Applying evolutionary genetics to developmental toxicology and risk assessment. Reprod Toxicol 2017; 69:174-186. [PMID: 28267574 PMCID: PMC5829367 DOI: 10.1016/j.reprotox.2017.03.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 02/27/2017] [Accepted: 03/02/2017] [Indexed: 12/26/2022]
Abstract
Evolutionary thinking continues to challenge our views on health and disease. Yet, there is a communication gap between evolutionary biologists and toxicologists in recognizing the connections among developmental pathways, high-throughput screening, and birth defects in humans. To increase our capability in identifying potential developmental toxicants in humans, we propose to apply evolutionary genetics to improve the experimental design and data interpretation with various in vitro and whole-organism models. We review five molecular systems of stress response and update 18 consensual cell-cell signaling pathways that are the hallmark for early development, organogenesis, and differentiation; and revisit the principles of teratology in light of recent advances in high-throughput screening, big data techniques, and systems toxicology. Multiscale systems modeling plays an integral role in the evolutionary approach to cross-species extrapolation. Phylogenetic analysis and comparative bioinformatics are both valuable tools in identifying and validating the molecular initiating events that account for adverse developmental outcomes in humans. The discordance of susceptibility between test species and humans (ontogeny) reflects their differences in evolutionary history (phylogeny). This synthesis not only can lead to novel applications in developmental toxicity and risk assessment, but also can pave the way for applying an evo-devo perspective to the study of developmental origins of health and disease.
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Affiliation(s)
- Maxwell C K Leung
- Nicholas School of the Environment, Duke University, Durham, NC, United States.
| | - Andrew C Procter
- Institute for Advanced Analytics, North Carolina State University, Raleigh, NC, United States
| | - Jared V Goldstone
- Department of Biology, Woods Hole Oceanographic Institution, Woods Hole, MA, United States
| | - Jonathan Foox
- Department of Invertebrate Zoology, American Museum of Natural History, New York, New York, United States
| | - Robert DeSalle
- Department of Invertebrate Zoology, American Museum of Natural History, New York, New York, United States
| | - Carolyn J Mattingly
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States
| | - Mark E Siddall
- Department of Invertebrate Zoology, American Museum of Natural History, New York, New York, United States
| | - Alicia R Timme-Laragy
- Department of Environmental Health Sciences, University of Massachusetts, Amherst, MA, United States
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115
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Zhang Z, Li J, Pan Y, Li J, Zhou L, Shi H, Zeng Y, Guo H, Yang S, Zheng W, Yu J, Sun X, Li G, Ding Y, Ma L, Shen S, Dai L, Zhang H, Yang S, Guo Y, Li Z. Natural variation in CTB4a enhances rice adaptation to cold habitats. Nat Commun 2017; 8:14788. [PMID: 28332574 PMCID: PMC5376651 DOI: 10.1038/ncomms14788] [Citation(s) in RCA: 116] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2016] [Accepted: 01/26/2017] [Indexed: 12/26/2022] Open
Abstract
Low temperature is a major factor limiting rice productivity and geographical distribution. Improved cold tolerance and expanded cultivation to high-altitude or high-latitude regions would help meet growing rice demand. Here we explored a QTL for cold tolerance and cloned the gene, CTB4a (cold tolerance at booting stage), encoding a conserved leucine-rich repeat receptor-like kinase. We show that different CTB4a alleles confer distinct levels of cold tolerance and selection for variation in the CTB4a promoter region has occurred on the basis of environmental temperature. The newly generated cold-tolerant haplotype Tej-Hap-KMXBG was retained by artificial selection during temperate japonica evolution in cold habitats for low-temperature acclimation. Moreover, CTB4a interacts with AtpB, a beta subunit of ATP synthase. Upregulation of CTB4a correlates with increased ATP synthase activity, ATP content, enhanced seed setting and improved yield under cold stress conditions. These findings suggest strategies to improve cold tolerance in crop plants. Low temperature is a major factor limiting productivity in rice. Here the authors show that the CTB4a gene confers cold tolerance to japonica varieties adapted to cold habitats at the booting stage of development, and propose that CTB4a acts via an interaction with the beta subunit of ATP synthase.
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Affiliation(s)
- Zhanying Zhang
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Jinjie Li
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Yinghua Pan
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China.,Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China
| | - Jilong Li
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Lei Zhou
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China.,Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Hongli Shi
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Yawen Zeng
- Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Haifeng Guo
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Shuming Yang
- Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Weiwei Zheng
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Jianping Yu
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Xingming Sun
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Gangling Li
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Yanglin Ding
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Liang Ma
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Shiquan Shen
- Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Luyuan Dai
- Biotechnology and Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Hongliang Zhang
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Shuhua Yang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yan Guo
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Zichao Li
- Key Laboratory of Crop Heterosis and Utilization, Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
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116
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Coi AL, Bigey F, Mallet S, Marsit S, Zara G, Gladieux P, Galeote V, Budroni M, Dequin S, Legras JL. Genomic signatures of adaptation to wine biological ageing conditions in biofilm-forming flor yeasts. Mol Ecol 2017; 26:2150-2166. [PMID: 28192619 DOI: 10.1111/mec.14053] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 01/31/2017] [Indexed: 12/16/2022]
Abstract
The molecular and evolutionary processes underlying fungal domestication remain largely unknown despite the importance of fungi to bioindustry and for comparative adaptation genomics in eukaryotes. Wine fermentation and biological ageing are performed by strains of S. cerevisiae with, respectively, pelagic fermentative growth on glucose and biofilm aerobic growth utilizing ethanol. Here, we use environmental samples of wine and flor yeasts to investigate the genomic basis of yeast adaptation to contrasted anthropogenic environments. Phylogenetic inference and population structure analysis based on single nucleotide polymorphisms revealed a group of flor yeasts separated from wine yeasts. A combination of methods revealed several highly differentiated regions between wine and flor yeasts, and analyses using codon-substitution models for detecting molecular adaptation identified sites under positive selection in the high-affinity transporter gene ZRT1. The cross-population composite likelihood ratio revealed selective sweeps at three regions, including in the hexose transporter gene HXT7, the yapsin gene YPS6 and the membrane protein coding gene MTS27. Our analyses also revealed that the biological ageing environment has led to the accumulation of numerous mutations in proteins from several networks, including Flo11 regulation and divalent metal transport. Together, our findings suggest that the tuning of FLO11 expression and zinc transport networks are a distinctive feature of the genetic changes underlying the domestication of flor yeasts. Our study highlights the multiplicity of genomic changes underlying yeast adaptation to man-made habitats and reveals that flor/wine yeast lineage can serve as a useful model for studying the genomics of adaptive divergence.
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Affiliation(s)
- A L Coi
- Dipartimento di Agraria, Università di Sassari, 07100, Sassari, Italy
| | - F Bigey
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
| | - S Mallet
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
| | - S Marsit
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
| | - G Zara
- Dipartimento di Agraria, Università di Sassari, 07100, Sassari, Italy
| | - P Gladieux
- INRA, UMR BGPI, 34398, Montpellier, France
| | - V Galeote
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
| | - M Budroni
- Dipartimento di Agraria, Università di Sassari, 07100, Sassari, Italy
| | - S Dequin
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
| | - J L Legras
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
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117
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de Simoni Gouveia JJ, Paiva SR, McManus CM, Caetano AR, Kijas JW, Facó O, Azevedo HC, de Araujo AM, de Souza CJH, Yamagishi MEB, Carneiro PLS, Braga Lôbo RN, de Oliveira SMP, da Silva MVG. Genome-wide search for signatures of selection in three major Brazilian locally adapted sheep breeds. Livest Sci 2017. [DOI: 10.1016/j.livsci.2017.01.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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118
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McManus KF, Taravella AM, Henn BM, Bustamante CD, Sikora M, Cornejo OE. Population genetic analysis of the DARC locus (Duffy) reveals adaptation from standing variation associated with malaria resistance in humans. PLoS Genet 2017; 13:e1006560. [PMID: 28282382 PMCID: PMC5365118 DOI: 10.1371/journal.pgen.1006560] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 03/24/2017] [Accepted: 12/30/2016] [Indexed: 12/22/2022] Open
Abstract
The human DARC (Duffy antigen receptor for chemokines) gene encodes a membrane-bound chemokine receptor crucial for the infection of red blood cells by Plasmodium vivax, a major causative agent of malaria. Of the three major allelic classes segregating in human populations, the FY*O allele has been shown to protect against P. vivax infection and is at near fixation in sub-Saharan Africa, while FY*B and FY*A are common in Europe and Asia, respectively. Due to the combination of strong geographic differentiation and association with malaria resistance, DARC is considered a canonical example of positive selection in humans. Despite this, details of the timing and mode of selection at DARC remain poorly understood. Here, we use sequencing data from over 1,000 individuals in twenty-one human populations, as well as ancient human genomes, to perform a fine-scale investigation of the evolutionary history of DARC. We estimate the time to most recent common ancestor (TMRCA) of the most common FY*O haplotype to be 42 kya (95% CI: 34-49 kya). We infer the FY*O null mutation swept to fixation in Africa from standing variation with very low initial frequency (0.1%) and a selection coefficient of 0.043 (95% CI:0.011-0.18), which is among the strongest estimated in the human genome. We estimate the TMRCA of the FY*A mutation in non-Africans to be 57 kya (95% CI: 48-65 kya) and infer that, prior to the sweep of FY*O, all three alleles were segregating in Africa, as highly diverged populations from Asia and ≠Khomani San hunter-gatherers share the same FY*A haplotypes. We test multiple models of admixture that may account for this observation and reject recent Asian or European admixture as the cause.
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Affiliation(s)
- Kimberly F. McManus
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - Angela M. Taravella
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Brenna M. Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Carlos D. Bustamante
- Department of Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Martin Sikora
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Centre for Geogenetics, Natural History Museum Denmark, Copenhagen, Denmark
| | - Omar E. Cornejo
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Biological Sciences, Washington State University, Pullman, washington, United States of America
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119
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Functional germline variants in driver genes of breast cancer. Cancer Causes Control 2017; 28:259-271. [DOI: 10.1007/s10552-017-0849-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Accepted: 01/07/2017] [Indexed: 12/17/2022]
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120
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Taye M, Kim J, Yoon SH, Lee W, Hanotte O, Dessie T, Kemp S, Mwai OA, Caetano-Anolles K, Cho S, Oh SJ, Lee HK, Kim H. Whole genome scan reveals the genetic signature of African Ankole cattle breed and potential for higher quality beef. BMC Genet 2017; 18:11. [PMID: 28183280 PMCID: PMC5301378 DOI: 10.1186/s12863-016-0467-1] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 12/20/2016] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Africa is home to numerous cattle breeds whose diversity has been shaped by subtle combinations of human and natural selection. African Sanga cattle are an intermediate type of cattle resulting from interbreeding between Bos taurus and Bos indicus subspecies. Recently, research has asserted the potential of Sanga breeds for commercial beef production with better meat quality as compared to Bos indicus breeds. Here, we identified meat quality related gene regions that are positively selected in Ankole (Sanga) cattle breeds as compared to indicus (Boran, Ogaden, and Kenana) breeds using cross-population (XP-EHH and XP-CLR) statistical methods. RESULTS We identified 238 (XP-EHH) and 213 (XP-CLR) positively selected genes, of which 97 were detected from both statistics. Among the genes obtained, we primarily reported those involved in different biological process and pathways associated with meat quality traits. Genes (CAPZB, COL9A2, PDGFRA, MAP3K5, ZNF410, and PKM2) involved in muscle structure and metabolism affect meat tenderness. Genes (PLA2G2A, PARK2, ZNF410, MAP2K3, PLCD3, PLCD1, and ROCK1) related to intramuscular fat (IMF) are involved in adipose metabolism and adipogenesis. MB and SLC48A1 affect meat color. In addition, we identified genes (TIMP2, PKM2, PRKG1, MAP3K5, and ATP8A1) related to feeding efficiency. Among the enriched Gene Ontology Biological Process (GO BP) terms, actin cytoskeleton organization, actin filament-based process, and protein ubiquitination are associated with meat tenderness whereas cellular component organization, negative regulation of actin filament depolymerization and negative regulation of protein complex disassembly are involved in adipocyte regulation. The MAPK pathway is responsible for cell proliferation and plays an important role in hyperplastic growth, which has a positive effect on meat tenderness. CONCLUSION Results revealed several candidate genes positively selected in Ankole cattle in relation to meat quality characteristics. The genes identified are involved in muscle structure and metabolism, and adipose metabolism and adipogenesis. These genes help in the understanding of the biological mechanisms controlling beef quality characteristics in African Ankole cattle. These results provide a basis for further research on the genomic characteristics of Ankole and other Sanga cattle breeds for quality beef.
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Affiliation(s)
- Mengistie Taye
- Department of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
- Bahir Dar University, College of Agriculture and Environmental Sciences, PO Box 79, Bahir Dar, Ethiopia
| | - Jaemin Kim
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Sook Hee Yoon
- Department of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Wonseok Lee
- Department of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea
| | - Olivier Hanotte
- The University of Nottingham, School of Life Sciences, Nottingham, NG7 2RD, UK
- International Livestock Research Institute (ILRI), PO Box 5689, Addis Ababa, Ethiopia
| | - Tadelle Dessie
- International Livestock Research Institute (ILRI), PO Box 5689, Addis Ababa, Ethiopia
| | - Stephen Kemp
- International Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya
- The Centre for Tropical Livestock Genetics and Health, The Roslin Institute, The University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, Scotland
| | - Okeyo Ally Mwai
- International Livestock Research Institute (ILRI), PO Box 30709-00100, Nairobi, Kenya
| | | | - Seoae Cho
- C&K genomics, Main Bldg. #514, SNU Research Park, Seoul, 151-919, Republic of Korea
| | - Sung Jong Oh
- National Institute of Animal Science, RDA, Wanju, Republic of Korea
| | - Hak-Kyo Lee
- The Animal Molecular Genetics & Breeding Center, Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Korea
| | - Heebal Kim
- Department of Agricultural Biotechnology, Animal Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-921, Korea.
- C&K genomics, Main Bldg. #514, SNU Research Park, Seoul, 151-919, Republic of Korea.
- Institute for Biomedical Sciences, Shinshu University, Nagano, Japan.
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121
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He C, Fu J, Zhang J, Li Y, Zheng J, Zhang H, Yang X, Wang J, Wang G. A Gene-Oriented Haplotype Comparison Reveals Recently Selected Genomic Regions in Temperate and Tropical Maize Germplasm. PLoS One 2017; 12:e0169806. [PMID: 28099470 PMCID: PMC5242465 DOI: 10.1371/journal.pone.0169806] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 12/21/2016] [Indexed: 11/19/2022] Open
Abstract
The extensive genetic variation present in maize (Zea mays) germplasm makes it possible to detect signatures of positive artificial selection that occurred during temperate and tropical maize improvement. Here we report an analysis of 532,815 polymorphisms from a maize association panel consisting of 368 diverse temperate and tropical inbred lines. We developed a gene-oriented approach adapting exonic polymorphisms to identify recently selected alleles by comparing haplotypes across the maize genome. This analysis revealed evidence of selection for more than 1100 genomic regions during recent improvement, and included regulatory genes and key genes with visible mutant phenotypes. We find that selected candidate target genes in temperate maize are enriched in biosynthetic processes, and further examination of these candidates highlights two cases, sucrose flux and oil storage, in which multiple genes in a common pathway can be cooperatively selected. Finally, based on available parallel gene expression data, we hypothesize that some genes were selected for regulatory variations, resulting in altered gene expression.
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Affiliation(s)
- Cheng He
- College of Agriculture and Biotechnology, China Agricultural University, Beijing, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junjie Fu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jie Zhang
- College of Agriculture and Biotechnology, China Agricultural University, Beijing, China
| | - Yongxiang Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jun Zheng
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongwei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaohong Yang
- College of Agriculture and Biotechnology, China Agricultural University, Beijing, China
| | - Jianhua Wang
- College of Agriculture and Biotechnology, China Agricultural University, Beijing, China
- * E-mail: (GW); (JW)
| | - Guoying Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- * E-mail: (GW); (JW)
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Plissonneau C, Benevenuto J, Mohd-Assaad N, Fouché S, Hartmann FE, Croll D. Using Population and Comparative Genomics to Understand the Genetic Basis of Effector-Driven Fungal Pathogen Evolution. FRONTIERS IN PLANT SCIENCE 2017; 8:119. [PMID: 28217138 PMCID: PMC5289978 DOI: 10.3389/fpls.2017.00119] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 01/20/2017] [Indexed: 05/20/2023]
Abstract
Epidemics caused by fungal plant pathogens pose a major threat to agro-ecosystems and impact global food security. High-throughput sequencing enabled major advances in understanding how pathogens cause disease on crops. Hundreds of fungal genomes are now available and analyzing these genomes highlighted the key role of effector genes in disease. Effectors are small secreted proteins that enhance infection by manipulating host metabolism. Fungal genomes carry 100s of putative effector genes, but the lack of homology among effector genes, even for closely related species, challenges evolutionary and functional analyses. Furthermore, effector genes are often found in rapidly evolving chromosome compartments which are difficult to assemble. We review how population and comparative genomics toolsets can be combined to address these challenges. We highlight studies that associated genome-scale polymorphisms with pathogen lifestyles and adaptation to different environments. We show how genome-wide association studies can be used to identify effectors and other pathogenicity-related genes underlying rapid adaptation. We also discuss how the compartmentalization of fungal genomes into core and accessory regions shapes the evolution of effector genes. We argue that an understanding of genome evolution provides important insight into the trajectory of host-pathogen co-evolution.
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Affiliation(s)
- Clémence Plissonneau
- Plant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland
- UMR, BIOGER, INRA, AgroParisTech, Université Paris-SaclayThiverval-Grignon, France
| | - Juliana Benevenuto
- College of Agriculture “Luiz de Queiroz”, University of São PauloSão Paulo, Brazil
| | - Norfarhan Mohd-Assaad
- Plant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland
- School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan MalaysiaSelangor, Malaysia
| | - Simone Fouché
- Plant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland
| | - Fanny E. Hartmann
- Plant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland
| | - Daniel Croll
- Plant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland
- Laboratory of Evolutionary Genetics, Institute of Biology, University of NeuchatelNeuchatel, Switzerland
- *Correspondence: Daniel Croll,
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Phillips MA, Long AD, Greenspan ZS, Greer LF, Burke MK, Villeponteau B, Matsagas KC, Rizza CL, Mueller LD, Rose MR. Genome-wide analysis of long-term evolutionary domestication in Drosophila melanogaster. Sci Rep 2016; 6:39281. [PMID: 28004838 PMCID: PMC5177908 DOI: 10.1038/srep39281] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 11/21/2016] [Indexed: 01/07/2023] Open
Abstract
Experimental evolutionary genomics now allows biologists to test fundamental theories concerning the genetic basis of adaptation. We have conducted one of the longest laboratory evolution experiments with any sexually-reproducing metazoan, Drosophila melanogaster. We used next-generation resequencing data from this experiment to examine genome-wide patterns of genetic variation over an evolutionary time-scale that approaches 1,000 generations. We also compared measures of variation within and differentiation between our populations to simulations based on a variety of evolutionary scenarios. Our analysis yielded no clear evidence of hard selective sweeps, whereby natural selection acts to increase the frequency of a newly-arising mutation in a population until it becomes fixed. We do find evidence for selection acting on standing genetic variation, as independent replicate populations exhibit similar population-genetic dynamics, without obvious fixation of candidate alleles under selection. A hidden-Markov model test for selection also found widespread evidence for selection. We found more genetic variation genome-wide, and less differentiation between replicate populations genome-wide, than arose in any of our simulated evolutionary scenarios.
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Affiliation(s)
- Mark A. Phillips
- University of California, Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, 92617, USA
| | - Anthony D. Long
- University of California, Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, 92617, USA
- Genescient Inc., Fountain Valley, CA 92708, USA
| | - Zachary S. Greenspan
- University of California, Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, 92617, USA
| | - Lee F. Greer
- University of California, Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, 92617, USA
- Genescient Inc., Fountain Valley, CA 92708, USA
| | - Molly K. Burke
- Oregon State University, Department of Integrative Biology, Corvallis, OR 97331, USA
| | | | | | | | - Laurence D. Mueller
- University of California, Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, 92617, USA
- Genescient Inc., Fountain Valley, CA 92708, USA
| | - Michael R. Rose
- University of California, Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, 92617, USA
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124
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Bertin A, Gouin N, Baumel A, Gianoli E, Serratosa J, Osorio R, Manel S. Genetic variation of loci potentially under selection confounds species-genetic diversity correlations in a fragmented habitat. Mol Ecol 2016; 26:431-443. [PMID: 27862542 DOI: 10.1111/mec.13923] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 10/18/2016] [Accepted: 10/25/2016] [Indexed: 02/04/2023]
Abstract
Positive species-genetic diversity correlations (SGDCs) are often thought to result from the parallel influence of neutral processes on genetic and species diversity. Yet, confounding effects of non-neutral mechanisms have not been explored. Here, we investigate the impact of non-neutral genetic diversity on SGDCs in high Andean wetlands. We compare correlations between plant species diversity and genetic diversity (GD) calculated with and without loci potentially under selection (outlier loci). The study system includes 2188 specimens from five species (three common aquatic macroinvertebrate and two dominant plant species) that were genotyped for 396 amplified fragment length polymorphism loci. We also appraise the importance of neutral processes on SGDCs by investigating the influence of habitat fragmentation features. Significant positive SGDCs were detected for all five species (mean SGDC = 0.52 ± 0.05). While only a few outlier loci were detected in each species, they resulted in significant decreases in GD and in SGDCs. This supports the hypothesis that neutral processes drive species-genetic diversity relationships in high Andean wetlands. Unexpectedly, the effects on genetic diversity GD of the habitat fragmentation characteristics in this study increased with the presence of outlier loci in two species. Overall, our results reveal pitfalls in using habitat features to infer processes driving SGDCs and show that a few loci potentially under selection are enough to cause a significant downward bias in SGDC. Investigating confounding effects of outlier loci thus represents a useful approach to evidence the contribution of neutral processes on species-genetic diversity relationships.
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Affiliation(s)
- Angeline Bertin
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile
| | - Nicolas Gouin
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile.,Centro de Estudios Avanzados en Zonas Áridas, Raúl Bitrán 1305, La Serena, Chile.,Instituto de Investigación Multidisciplinar en Ciencia y Tecnología, Universidad de La Serena, Casilla 554, La Serena, Chile
| | - Alex Baumel
- Aix Marseille Univ, IMBE, UMR CNRS, IRD, Avignon Univ, Technopole Environm Arbois Mediterrane, BP 80, F-13545 Aix En Provence 04, France
| | - Ernesto Gianoli
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile.,Departamento de Botánica, Universidad de Concepción, Casilla 160-C, Concepción, Chile
| | - Juan Serratosa
- Facultad de Ciencias del Mar, Doctorado en Biología y Ecología Aplicada, Universidad Católica del Norte, Larrondo 1281, Coquimbo, Chile
| | - Rodomiro Osorio
- Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, Av. Raúl Bitrán 1305, Casilla 554, La Serena, Chile
| | - Stephanie Manel
- CNRS, UM, SupAgro, IRD, INRA, UMR 5175 CEFE, EPHE, PSL Research University, F-34293, Montpellier, France
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125
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Pogson GH. Studying the genetic basis of speciation in high gene flow marine invertebrates. Curr Zool 2016; 62:643-653. [PMID: 29491951 PMCID: PMC5804258 DOI: 10.1093/cz/zow093] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 08/16/2016] [Indexed: 12/18/2022] Open
Abstract
A growing number of genes responsible for reproductive incompatibilities between species (barrier loci) exhibit the signals of positive selection. However, the possibility that genes experiencing positive selection diverge early in speciation and commonly cause reproductive incompatibilities has not been systematically investigated on a genome-wide scale. Here, I outline a research program for studying the genetic basis of speciation in broadcast spawning marine invertebrates that uses a priori genome-wide information on a large, unbiased sample of genes tested for positive selection. A targeted sequence capture approach is proposed that scores single-nucleotide polymorphisms (SNPs) in widely separated species populations at an early stage of allopatric divergence. The targeted capture of both coding and non-coding sequences enables SNPs to be characterized at known locations across the genome and at genes with known selective or neutral histories. The neutral coding and non-coding SNPs provide robust background distributions for identifying FST-outliers within genes that can, in principle, identify specific mutations experiencing diversifying selection. If natural hybridization occurs between species, the neutral coding and non-coding SNPs can provide a neutral admixture model for genomic clines analyses aimed at finding genes exhibiting strong blocks to introgression. Strongylocentrotid sea urchins are used as a model system to outline the approach but it can be used for any group that has a complete reference genome available.
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Affiliation(s)
- Grant H. Pogson
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA
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126
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Kim S, Cho YS, Kim HM, Chung O, Kim H, Jho S, Seomun H, Kim J, Bang WY, Kim C, An J, Bae CH, Bhak Y, Jeon S, Yoon H, Kim Y, Jun J, Lee H, Cho S, Uphyrkina O, Kostyria A, Goodrich J, Miquelle D, Roelke M, Lewis J, Yurchenko A, Bankevich A, Cho J, Lee S, Edwards JS, Weber JA, Cook J, Kim S, Lee H, Manica A, Lee I, O'Brien SJ, Bhak J, Yeo JH. Comparison of carnivore, omnivore, and herbivore mammalian genomes with a new leopard assembly. Genome Biol 2016; 17:211. [PMID: 27802837 PMCID: PMC5090899 DOI: 10.1186/s13059-016-1071-4] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 09/22/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND There are three main dietary groups in mammals: carnivores, omnivores, and herbivores. Currently, there is limited comparative genomics insight into the evolution of dietary specializations in mammals. Due to recent advances in sequencing technologies, we were able to perform in-depth whole genome analyses of representatives of these three dietary groups. RESULTS We investigated the evolution of carnivory by comparing 18 representative genomes from across Mammalia with carnivorous, omnivorous, and herbivorous dietary specializations, focusing on Felidae (domestic cat, tiger, lion, cheetah, and leopard), Hominidae, and Bovidae genomes. We generated a new high-quality leopard genome assembly, as well as two wild Amur leopard whole genomes. In addition to a clear contraction in gene families for starch and sucrose metabolism, the carnivore genomes showed evidence of shared evolutionary adaptations in genes associated with diet, muscle strength, agility, and other traits responsible for successful hunting and meat consumption. Additionally, an analysis of highly conserved regions at the family level revealed molecular signatures of dietary adaptation in each of Felidae, Hominidae, and Bovidae. However, unlike carnivores, omnivores and herbivores showed fewer shared adaptive signatures, indicating that carnivores are under strong selective pressure related to diet. Finally, felids showed recent reductions in genetic diversity associated with decreased population sizes, which may be due to the inflexible nature of their strict diet, highlighting their vulnerability and critical conservation status. CONCLUSIONS Our study provides a large-scale family level comparative genomic analysis to address genomic changes associated with dietary specialization. Our genomic analyses also provide useful resources for diet-related genetic and health research.
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Affiliation(s)
- Soonok Kim
- Biological and Genetic Resources Assessment Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea
| | - Yun Sung Cho
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea
| | - Hak-Min Kim
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Oksung Chung
- Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea
| | - Hyunho Kim
- Geromics, Ulsan, 44919, Republic of Korea
| | - Sungwoong Jho
- Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea
| | - Hong Seomun
- Animal Resources Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea
| | - Jeongho Kim
- Cheongju Zoo, Cheongju, 28311, Republic of Korea
| | - Woo Young Bang
- Biological and Genetic Resources Assessment Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea
| | - Changmu Kim
- Biological and Genetic Resources Assessment Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea
| | - Junghwa An
- Animal Resources Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea
| | - Chang Hwan Bae
- Biological and Genetic Resources Assessment Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea
| | - Youngjune Bhak
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Sungwon Jeon
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Hyejun Yoon
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Yumi Kim
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - JeHoon Jun
- Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea.,Geromics, Ulsan, 44919, Republic of Korea
| | - HyeJin Lee
- Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea.,Geromics, Ulsan, 44919, Republic of Korea
| | - Suan Cho
- Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea.,Geromics, Ulsan, 44919, Republic of Korea
| | - Olga Uphyrkina
- Institute of Biology & Soil Science, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, 690022, Russia
| | - Aleksey Kostyria
- Institute of Biology & Soil Science, Far Eastern Branch of Russian Academy of Sciences, Vladivostok, 690022, Russia
| | | | - Dale Miquelle
- Wildlife Conservation Society, 2300 Southern Boulevard, Bronx, NY, 10460, USA.,Department of Ecology, Far Eastern Federal University, Ayaks, Russki Island, Vladivostok, 690950, Russia
| | - Melody Roelke
- Laboratory of Animal Sciences Program, Leídos Biomedical Research Inc., Frederick National Laboratory, Frederick, MD, 21702, USA
| | - John Lewis
- International Zoo Veterinary Group (UK) IZVG LLP, Station House, Parkwood Street, Keighley, BD21 4NQ, UK
| | - Andrey Yurchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, 199004, Russia
| | - Anton Bankevich
- Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg State University, St. Petersburg, 199034, Russia
| | - Juok Cho
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Semin Lee
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Jeremy S Edwards
- Chemistry and Chemical Biology, UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Jessica A Weber
- Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Jo Cook
- Zoological Society of London, London, NW1 4RY, UK
| | - Sangsoo Kim
- Department of Bioinformatics & Life Science, Soongsil University, Seoul, 06978, Republic of Korea
| | - Hang Lee
- Conservation Genome Resource Bank for Korean Wildlife, College of Veterinary Medicine, Seoul National University, Seoul, 08826, Republic of Korea
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK
| | - Ilbeum Lee
- Daejeon O-World, Daejeon, 35073, Republic of Korea
| | - Stephen J O'Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, 199004, Russia. .,Oceanographic Center 8000 N. Ocean Drive, Nova Southeastern University, Ft Lauderdale, FL, 33004, USA.
| | - Jong Bhak
- The Genomics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. .,Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. .,Personal Genomics Institute, Genome Research Foundation, Cheongju, 28160, Republic of Korea. .,Geromics, Ulsan, 44919, Republic of Korea.
| | - Joo-Hong Yeo
- Biological and Genetic Resources Assessment Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea.
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127
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Venkataram S, Dunn B, Li Y, Agarwala A, Chang J, Ebel ER, Geiler-Samerotte K, Hérissant L, Blundell JR, Levy SF, Fisher DS, Sherlock G, Petrov DA. Development of a Comprehensive Genotype-to-Fitness Map of Adaptation-Driving Mutations in Yeast. Cell 2016; 166:1585-1596.e22. [PMID: 27594428 PMCID: PMC5070919 DOI: 10.1016/j.cell.2016.08.002] [Citation(s) in RCA: 136] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Revised: 06/07/2016] [Accepted: 07/29/2016] [Indexed: 01/11/2023]
Abstract
Adaptive evolution plays a large role in generating the phenotypic diversity observed in nature, yet current methods are impractical for characterizing the molecular basis and fitness effects of large numbers of individual adaptive mutations. Here, we used a DNA barcoding approach to generate the genotype-to-fitness map for adaptation-driving mutations from a Saccharomyces cerevisiae population experimentally evolved by serial transfer under limiting glucose. We isolated and measured the fitness of thousands of independent adaptive clones and sequenced the genomes of hundreds of clones. We found only two major classes of adaptive mutations: self-diploidization and mutations in the nutrient-responsive Ras/PKA and TOR/Sch9 pathways. Our large sample size and precision of measurement allowed us to determine that there are significant differences in fitness between mutations in different genes, between different paralogs, and even between different classes of mutations within the same gene.
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Affiliation(s)
| | - Barbara Dunn
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Yuping Li
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Atish Agarwala
- Department of Physics, Stanford University, Stanford, CA 94305, USA
| | - Jessica Chang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Emily R Ebel
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | | | - Lucas Hérissant
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Jamie R Blundell
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794-5252, USA
| | - Sasha F Levy
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794-5252, USA; Department of Biochemistry and Cellular Biology, Stony Brook University, Stony Brook, NY 11794-5215, USA
| | - Daniel S Fisher
- Department of Biology, Stanford University, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Gavin Sherlock
- Department of Genetics, Stanford University, Stanford, CA 94305, USA.
| | - Dmitri A Petrov
- Department of Biology, Stanford University, Stanford, CA 94305, USA.
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128
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Point mutations in the major outer membrane protein drive hypervirulence of a rapidly expanding clone of Campylobacter jejuni. Proc Natl Acad Sci U S A 2016; 113:10690-5. [PMID: 27601641 DOI: 10.1073/pnas.1605869113] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Infections due to clonal expansion of highly virulent bacterial strains are clear and present threats to human and animal health. Association of genetic changes with disease is now a routine, but identification of causative mutations that enable disease remains difficult. Campylobacter jejuni is an important zoonotic pathogen transmitted to humans mainly via the foodborne route. C. jejuni typically colonizes the gut, but a hypervirulent and rapidly expanding clone of C. jejuni recently emerged, which is able to translocate across the intestinal tract, causing systemic infection and abortion in pregnant animals. The genetic basis responsible for this hypervirulence is unknown. Here, we developed a strategy, termed "directed genome evolution," by using hybridization between abortifacient and nonabortifacient strains followed by selection in an animal disease model and whole-genome sequence analysis. This strategy successfully identified SNPs in porA, encoding the major outer membrane protein, are responsible for the hypervirulence. Defined mutagenesis verified that these mutations were both necessary and sufficient for causing abortion. Furthermore, sequence analysis identified porA as the gene with the top genome-wide signal of adaptive evolution using Fu's Fs, a population genetic metric for recent population size changes, which is consistent with the recent expansion of clone "sheep abortion." These results identify a key virulence factor in Campylobacter and a potential target for the control of this zoonotic pathogen. Furthermore, this study provides general, unbiased experimental and computational approaches that are broadly applicable for efficient elucidation of disease-causing mutations in bacterial pathogens.
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129
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Khayatzadeh N, Mészáros G, Utsunomiya YT, Garcia JF, Schnyder U, Gredler B, Curik I, Sölkner J. Locus-specific ancestry to detect recent response to selection in admixed Swiss Fleckvieh cattle. Anim Genet 2016; 47:637-646. [PMID: 27435758 DOI: 10.1111/age.12470] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/30/2016] [Indexed: 01/08/2023]
Abstract
Identification of selection signatures is one of the current endeavors of evolutionary genetics. Admixed populations may be used to infer post-admixture selection. We calculated local ancestry for Swiss Fleckvieh, a composite of Simmental (SI) and Red Holstein Friesian (RHF), to infer such signals. Illumina Bovine SNP50 BeadChip data for 300 admixed, 88 SI and 97 RHF bulls were used. The average RHF ancestry across the whole genome was 0.70. To identify regions with high deviation from average, we considered two significance thresholds, based on a permutation test and extreme deviation from normal distribution. Regions on chromosomes 13 (46.3-47.3 Mb) and 18 (18.7-25.9 Mb) passed both thresholds in the direction of increased SI. Extended haplotype homozygosity within (iHS) and between (Rsb) populations was calculated to explore additional patterns of pre- and post-admixture selection signals. The Rsb score of admixed and SI was significant in a wide region of chromosome 18 (6.6-24.6 Mb) overlapped with one area of strong local ancestry deviation. FTO, with pleiotropic effect on milk and fertility, NOD2 on dairy and NKD1 and SALL1 on fertility traits are located there. Genetic differentiation of RHF and SI (Fst ), an alternative indicator of pre-admixture selection in pure populations, was calculated. No considerable overlap of peaks of local ancestry deviations and Fst was observed. We found two regions with significant signatures of post-admixture selection in this very young composite, applying comparatively stringent significance thresholds. The signals cover relatively large genomic areas and did not allow pinpointing of the gene(s) responsible for the apparent shift in ancestry proportions.
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Affiliation(s)
- N Khayatzadeh
- Division of Livestock Science, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Straße 33, A-1180, Vienna, Austria
| | - G Mészáros
- Division of Livestock Science, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Straße 33, A-1180, Vienna, Austria.
| | - Y T Utsunomiya
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, Brazil
| | - J F Garcia
- Departamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, Brazil.,Departamento de Apoio, Saúde e Produção Animal, Faculdade de Medicina Veterinária de Araçatuba, UNESP - Univ Estadual Paulista, Araçatuba, São Paulo, Brazil
| | - U Schnyder
- Qualitas AG, Chamerstrasse 56, CH-6300, Zug, Switzerland
| | - B Gredler
- Qualitas AG, Chamerstrasse 56, CH-6300, Zug, Switzerland
| | - I Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska cesta 25, 10000, Zagreb, Croatia
| | - J Sölkner
- Division of Livestock Science, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Straße 33, A-1180, Vienna, Austria
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130
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Yang J, Li WR, Lv FH, He SG, Tian SL, Peng WF, Sun YW, Zhao YX, Tu XL, Zhang M, Xie XL, Wang YT, Li JQ, Liu YG, Shen ZQ, Wang F, Liu GJ, Lu HF, Kantanen J, Han JL, Li MH, Liu MJ. Whole-Genome Sequencing of Native Sheep Provides Insights into Rapid Adaptations to Extreme Environments. Mol Biol Evol 2016; 33:2576-92. [PMID: 27401233 PMCID: PMC5026255 DOI: 10.1093/molbev/msw129] [Citation(s) in RCA: 191] [Impact Index Per Article: 23.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Global climate change has a significant effect on extreme environments and a profound influence on species survival. However, little is known of the genome-wide pattern of livestock adaptations to extreme environments over a short time frame following domestication. Sheep (Ovis aries) have become well adapted to a diverse range of agroecological zones, including certain extreme environments (e.g., plateaus and deserts), during their post-domestication (approximately 8–9 kya) migration and differentiation. Here, we generated whole-genome sequences from 77 native sheep, with an average effective sequencing depth of ∼5× for 75 samples and ∼42× for 2 samples. Comparative genomic analyses among sheep in contrasting environments, that is, plateau (>4,000 m above sea level) versus lowland (<100 m), high-altitude region (>1500 m) versus low-altitude region (<1300 m), desert (<10 mm average annual precipitation) versus highly humid region (>600 mm), and arid zone (<400 mm) versus humid zone (>400 mm), detected a novel set of candidate genes as well as pathways and GO categories that are putatively associated with hypoxia responses at high altitudes and water reabsorption in arid environments. In addition, candidate genes and GO terms functionally related to energy metabolism and body size variations were identified. This study offers novel insights into rapid genomic adaptations to extreme environments in sheep and other animals, and provides a valuable resource for future research on livestock breeding in response to climate change.
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Affiliation(s)
- Ji Yang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Wen-Rong Li
- Animal Biotechnology Research Institute, Xinjiang Academy of Animal Science, Urumqi, China
| | - Feng-Hua Lv
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
| | - San-Gang He
- Animal Biotechnology Research Institute, Xinjiang Academy of Animal Science, Urumqi, China
| | - Shi-Lin Tian
- Novogene Bioinformatics Institute, Beijing, China
| | - Wei-Feng Peng
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Ya-Wei Sun
- Animal Biotechnology Research Institute, Xinjiang Academy of Animal Science, Urumqi, China College of Animal Science and Technology, Shihezi University, Shihezi, China
| | - Yong-Xin Zhao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Xiao-Long Tu
- Novogene Bioinformatics Institute, Beijing, China
| | - Min Zhang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Yu-Tao Wang
- College of Biological and Geographic Sciences, Kashgar University, Kashgar, China
| | - Jin-Quan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yong-Gang Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Zhi-Qiang Shen
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou, China
| | - Feng Wang
- Institute of Sheep and Goat Science, Nanjing Agricultural University, Nanjing, China
| | | | - Hong-Feng Lu
- Novogene Bioinformatics Institute, Beijing, China
| | - Juha Kantanen
- Green Technology, Natural Resources Institute Finland (Luke), Jokioinen, Finland Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Meng-Hua Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Ming-Jun Liu
- Animal Biotechnology Research Institute, Xinjiang Academy of Animal Science, Urumqi, China
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131
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Taub DR, Page J. Molecular Signatures of Natural Selection for Polymorphic Genes of the Human Dopaminergic and Serotonergic Systems: A Review. Front Psychol 2016; 7:857. [PMID: 27375535 PMCID: PMC4896960 DOI: 10.3389/fpsyg.2016.00857] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 05/24/2016] [Indexed: 12/21/2022] Open
Abstract
A large body of research has examined the behavioral and mental health consequences of polymorphisms in genes of the dopaminergic and serotonergic systems. Along with this, there has been considerable interest in the possibility that these polymorphisms have developed and/or been maintained due to the action of natural selection. Episodes of natural selection on a gene are expected to leave molecular “footprints” in the DNA sequences of the gene and adjacent genomic regions. Here we review the research literature investigating molecular signals of selection for genes of the dopaminergic and serotonergic systems. The gene SLC6A4, which codes for a serotonin transport protein, was the one gene for which there was consistent support from multiple studies for a selective episode. Positive selection on SLC6A4 appears to have been initiated ∼ 20–25,000 years ago in east Asia and possibly in Europe. There are scattered reports of molecular signals of selection for other neurotransmitter genes, but these have generally failed at replication across studies. In spite of speculation in the literature about selection on these genes, current evidence from population genomic analyses supports selectively neutral processes, such as genetic drift and population dynamics, as the principal drivers of recent evolution in dopaminergic and serotonergic genes other than SLC6A4.
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Affiliation(s)
- Daniel R Taub
- Department of Biology, Southwestern University, Georgetown TX, USA
| | - Joshua Page
- Department of Biology, Southwestern University, GeorgetownTX, USA; School of Medicine, Washington University, St LouisMO, USA
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132
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Population structure of eleven Spanish ovine breeds and detection of selective sweeps with BayeScan and hapFLK. Sci Rep 2016; 6:27296. [PMID: 27272025 PMCID: PMC4895181 DOI: 10.1038/srep27296] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 04/26/2016] [Indexed: 11/09/2022] Open
Abstract
The goals of the current work were to analyse the population structure of 11 Spanish ovine breeds and to detect genomic regions that may have been targeted by selection. A total of 141 individuals were genotyped with the Infinium 50 K Ovine SNP BeadChip (Illumina). We combined this dataset with Spanish ovine data previously reported by the International Sheep Genomics Consortium (N = 229). Multidimensional scaling and Admixture analyses revealed that Canaria de Pelo and, to a lesser extent, Roja Mallorquina, Latxa and Churra are clearly differentiated populations, while the remaining seven breeds (Ojalada, Castellana, Gallega, Xisqueta, Ripollesa, Rasa Aragonesa and Segureña) share a similar genetic background. Performance of a genome scan with BayeScan and hapFLK allowed us identifying three genomic regions that are consistently detected with both methods i.e. Oar3 (150–154 Mb), Oar6 (4–49 Mb) and Oar13 (68–74 Mb). Neighbor-joining trees based on polymorphisms mapping to these three selective sweeps did not show a clustering of breeds according to their predominant productive specialization (except the local tree based on Oar13 SNPs). Such cryptic signatures of selection have been also found in the bovine genome, posing a considerable challenge to understand the biological consequences of artificial selection.
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133
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Brisendine JM, Koder RL. Fast, cheap and out of control--Insights into thermodynamic and informatic constraints on natural protein sequences from de novo protein design. BIOCHIMICA ET BIOPHYSICA ACTA 2016; 1857:485-492. [PMID: 26498191 PMCID: PMC4856154 DOI: 10.1016/j.bbabio.2015.10.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 10/06/2015] [Indexed: 12/15/2022]
Abstract
The accumulated results of thirty years of rational and computational de novo protein design have taught us important lessons about the stability, information content, and evolution of natural proteins. First, de novo protein design has complicated the assertion that biological function is equivalent to biological structure - demonstrating the capacity to abstract active sites from natural contexts and paste them into non-native topologies without loss of function. The structure-function relationship has thus been revealed to be either a generality or strictly true only in a local sense. Second, the simplification to "maquette" topologies carried out by rational protein design also has demonstrated that even sophisticated functions such as conformational switching, cooperative ligand binding, and light-activated electron transfer can be achieved with low-information design approaches. This is because for simple topologies the functional footprint in sequence space is enormous and easily exceeds the number of structures which could have possibly existed in the history of life on Earth. Finally, the pervasiveness of extraordinary stability in designed proteins challenges accepted models for the "marginal stability" of natural proteins, suggesting that there must be a selection pressure against highly stable proteins. This can be explained using recent theories which relate non-equilibrium thermodynamics and self-replication. This article is part of a Special Issue entitled Biodesign for Bioenergetics--The design and engineering of electronc transfer cofactors, proteins and protein networks, edited by Ronald L. Koder and J.L. Ross Anderson.
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Affiliation(s)
- Joseph M Brisendine
- Department of Physics, The City College of New York, New York, NY 10031, United States; The Graduate Program in Biochemistry, The Graduate Center of CUNY, New York, NY 10016, United States
| | - Ronald L Koder
- Department of Physics, The City College of New York, New York, NY 10031, United States; Graduate Programs of Physics, Chemistry and Biochemistry, The Graduate Center of CUNY, New York, NY 10016, United States.
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134
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Randhawa IAS, Khatkar MS, Thomson PC, Raadsma HW. A Meta-Assembly of Selection Signatures in Cattle. PLoS One 2016; 11:e0153013. [PMID: 27045296 PMCID: PMC4821596 DOI: 10.1371/journal.pone.0153013] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Accepted: 03/22/2016] [Indexed: 12/31/2022] Open
Abstract
Since domestication, significant genetic improvement has been achieved for many traits of commercial importance in cattle, including adaptation, appearance and production. In response to such intense selection pressures, the bovine genome has undergone changes at the underlying regions of functional genetic variants, which are termed “selection signatures”. This article reviews 64 recent (2009–2015) investigations testing genomic diversity for departure from neutrality in worldwide cattle populations. In particular, we constructed a meta-assembly of 16,158 selection signatures for individual breeds and their archetype groups (European, African, Zebu and composite) from 56 genome-wide scans representing 70,743 animals of 90 pure and crossbred cattle breeds. Meta-selection-scores (MSS) were computed by combining published results at every given locus, within a sliding window span. MSS were adjusted for common samples across studies and were weighted for significance thresholds across and within studies. Published selection signatures show extensive coverage across the bovine genome, however, the meta-assembly provides a consensus profile of 263 genomic regions of which 141 were unique (113 were breed-specific) and 122 were shared across cattle archetypes. The most prominent peaks of MSS represent regions under selection across multiple populations and harboured genes of known major effects (coat color, polledness and muscle hypertrophy) and genes known to influence polygenic traits (stature, adaptation, feed efficiency, immunity, behaviour, reproduction, beef and dairy production). As the first meta-assembly of selection signatures, it offers novel insights about the hotspots of selective sweeps in the bovine genome, and this method could equally be applied to other species.
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Affiliation(s)
- Imtiaz A. S. Randhawa
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
- * E-mail:
| | - Mehar S. Khatkar
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
| | - Peter C. Thomson
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
| | - Herman W. Raadsma
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
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135
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Thomsen H, Chen B, Figlioli G, Elisei R, Romei C, Cipollini M, Cristaudo A, Bambi F, Hoffmann P, Herms S, Landi S, Hemminki K, Gemignani F, Försti A. Runs of homozygosity and inbreeding in thyroid cancer. BMC Cancer 2016; 16:227. [PMID: 26984635 PMCID: PMC4794977 DOI: 10.1186/s12885-016-2264-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 03/09/2016] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWASs) have identified several single-nucleotide polymorphisms (SNPs) influencing the risk of thyroid cancer (TC). Most cancer predisposition genes identified through GWASs function in a co-dominant manner, and studies have not found evidence for recessively functioning disease loci in TC. Our study examines whether homozygosity is associated with an increased risk of TC and searches for novel recessively acting disease loci. METHODS Data from a previously conducted GWAS were used for the estimation of the proportion of phenotypic variance explained by all common SNPs, the detection of runs of homozygosity (ROH) and the determination of inbreeding to unravel their influence on TC. RESULTS Inbreeding coefficients were significantly higher among cases than controls. Association on a SNP-by-SNP basis was controlled by using the false discovery rate at a level of q* < 0.05, with 34 SNPs representing true differences in homozygosity between cases and controls. The average size, the number and total length of ROHs per person were significantly higher in cases than in controls. A total of 16 recurrent ROHs of rather short length were identified although their association with TC risk was not significant at a genome-wide level. Several recurrent ROHs harbor genes associated with risk of TC. All of the ROHs showed significant evidence for natural selection (iHS, Fst, Fay and Wu's H). CONCLUSIONS Our results support the existence of recessive alleles in TC susceptibility. Although regions of homozygosity were rather small, it might be possible that variants within these ROHs affect TC risk and may function in a recessive manner.
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Affiliation(s)
- Hauke Thomsen
- Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - Bowang Chen
- Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - Gisella Figlioli
- Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Rossella Elisei
- Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
| | - Cristina Romei
- Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
| | | | - Alfonso Cristaudo
- Department of Endocrinology and Metabolism, University of Pisa, Pisa, Italy
| | - Franco Bambi
- Blood Centre, Azienda Ospedaliero Universitaria A. Meyer, Firenze, Italy
| | - Per Hoffmann
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Stefan Herms
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, University Hospital Basel, Basel, Switzerland
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Stefano Landi
- Department of Biology, University of Pisa, Pisa, Italy
| | - Kari Hemminki
- Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
- Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, Sweden
| | | | - Asta Försti
- Molecular Genetic Epidemiology, C050, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
- Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, Sweden
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136
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Fieder M, Huber S. The Adapting Mind in the Genomic Era. Front Psychol 2016; 7:78. [PMID: 26869977 PMCID: PMC4735379 DOI: 10.3389/fpsyg.2016.00078] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 01/13/2016] [Indexed: 11/23/2022] Open
Abstract
Genomics and molecular biology has added substantial methods and knowledge to nearly all fields of biology and medicine. In this review we try to demonstrate how genomics and molecular biology is also on the way to have a profound impact on behavioral anthropology, evolutionary psychology, evolutionary sociology, and bio-sociology. We propose that particularly studies on “selection and adaptation” will be influenced profoundly by genomics, for instance via identification of the partially genetic basis of human behavior by “candidate gene studies” and by “genome wide association studies.” In addition, epigenetics will lead to a deeper study of the interaction of the genetic basis of a behavior and its environmental regulation. We argue that the “genomic revolution” is much more than merely a new methodological approach, but will change our concepts of human behavior and its development in the evolution of homo.
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Affiliation(s)
- Martin Fieder
- Department of Anthropology, University of Vienna Vienna, Austria
| | - Susanne Huber
- Department of Anthropology, University of Vienna Vienna, Austria
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137
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Le Cam S, Perrier C, Besnard AL, Bernatchez L, Evanno G. Genetic and phenotypic changes in an Atlantic salmon population supplemented with non-local individuals: a longitudinal study over 21 years. Proc Biol Sci 2016; 282:rspb.2014.2765. [PMID: 25608883 DOI: 10.1098/rspb.2014.2765] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
While introductions and supplementations using non-native and potentially domesticated individuals may have dramatic evolutionary effects on wild populations, few studies documented the evolution of genetic diversity and life-history traits in supplemented populations. Here, we investigated year-to-year changes from 1989 to 2009 in genetic admixture at 15 microsatellite loci and in phenotypic traits in an Atlantic salmon (Salmo salar) population stocked during the first decade of this period with two genetically and phenotypically distinct source populations. We detected a pattern of temporally increasing introgressive hybridization between the stocked population and both source populations. The proportion of fish returning to the river after a single winter at sea (versus several ones) was higher in fish assigned to the main source population than in local individuals. Moreover, during the first decade of the study, both single-sea-winter and multi-sea-winter (MSW) fish assigned to the main source population were smaller than local fish. During the second decade of the study, MSW fish defined as hybrids were lighter and smaller than fish from parental populations, suggesting outbreeding depression. Overall, this study suggests that supplementation with non-local individuals may alter not only the genetic diversity of wild populations but also life-history traits of adaptive significance.
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Affiliation(s)
- Sabrina Le Cam
- INRA, UMR 0985 Ecology and Health of Ecosystems, Rennes 35042, France Agrocampus Ouest, 65 Rue de Saint-Brieuc, Rennes 35042, France Station Biologique de Roscoff, Place Georges Teissier, Sorbonne Universités, UPMC Univ Paris 06, UMR 7144, Roscoff Cedex 29688, France Station Biologique de Roscoff, Place Georges Teissier, CNRS, UMR 7144, Roscoff Cedex 29688, France
| | - Charles Perrier
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Canada
| | - Anne-Laure Besnard
- INRA, UMR 0985 Ecology and Health of Ecosystems, Rennes 35042, France Agrocampus Ouest, 65 Rue de Saint-Brieuc, Rennes 35042, France
| | - Louis Bernatchez
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Canada
| | - Guillaume Evanno
- INRA, UMR 0985 Ecology and Health of Ecosystems, Rennes 35042, France Agrocampus Ouest, 65 Rue de Saint-Brieuc, Rennes 35042, France
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138
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Thomsen H, Inacio da Silva Filho M, Fuchs M, Ponader S, Pogge von Strandmann E, Eisele L, Herms S, Hoffmann P, Engert A, Hemminki K, Försti A. Evidence of Inbreeding in Hodgkin Lymphoma. PLoS One 2016; 11:e0154259. [PMID: 27123581 PMCID: PMC4849743 DOI: 10.1371/journal.pone.0154259] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 04/10/2016] [Indexed: 02/05/2023] Open
Abstract
Genome-wide association studies (GWASs) have identified several, mainly co-dominantly acting, single-nucleotide polymorphisms (SNPs) associated with Hodgkin lymphoma (HL). We searched for recessively acting disease loci by performing an analysis of runs of homozygosity (ROH) based on windows of homozygous SNP-blocks and by calculating genomic inbreeding coefficients on a SNP-wise basis. We used data from a previous GWAS with 906 cases and 1217 controls from a population with a long history of no matings between relatives. Ten recurrent ROHs were identified among 25 055 ROHs across all individuals but their association with HL was not genome-wide significant. All recurrent ROHs showed significant evidence for natural selection. As a novel finding genomic inbreeding among cases was significantly higher than among controls (P = 2.11*10-14) even after correcting for covariates. Higher inbreeding among the cases was mainly based on a group of individuals with a higher average length of ROHs per person. This result suggests a correlation of higher levels of inbreeding with higher cancer incidence and might reflect the existence of recessive alleles causing HL. Genomic inbreeding may result in a higher expression of deleterious recessive genes within a population.
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Affiliation(s)
- Hauke Thomsen
- German Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany
- * E-mail:
| | - Miguel Inacio da Silva Filho
- German Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany
| | - Michael Fuchs
- Department of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany
| | - Sabine Ponader
- Department of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany
| | | | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, 45122, Germany
| | - Stefan Herms
- Institute of Human Genetics and Department of Genomics, University of Bonn, Bonn, 53127, Germany
- Department of Biomedicine, Division of Medical Genetics, Basel, University of Basel, 4058, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics and Department of Genomics, University of Bonn, Bonn, 53127, Germany
- Department of Biomedicine, Division of Medical Genetics, Basel, University of Basel, 4058, Switzerland
| | - Andreas Engert
- Department of Internal Medicine I, University Hospital of Cologne, Cologne, 50924, Germany
| | - Kari Hemminki
- German Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany
- Center for Primary Health Care Research, Lund University, Malmö, 20502, Sweden
| | - Asta Försti
- German Cancer Research Center (DKFZ), Division of Molecular Genetic Epidemiology (C050), Heidelberg, 69120, Germany
- Center for Primary Health Care Research, Lund University, Malmö, 20502, Sweden
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139
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Piertney SB. High-Throughput DNA Sequencing and the Next Generation of Molecular Markers in Wildlife Research. CURRENT TRENDS IN WILDLIFE RESEARCH 2016. [DOI: 10.1007/978-3-319-27912-1_9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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140
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Manel S, Perrier C, Pratlong M, Abi-Rached L, Paganini J, Pontarotti P, Aurelle D. Genomic resources and their influence on the detection of the signal of positive selection in genome scans. Mol Ecol 2015; 25:170-84. [DOI: 10.1111/mec.13468] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 11/06/2015] [Accepted: 11/07/2015] [Indexed: 12/16/2022]
Affiliation(s)
- S. Manel
- CEFE UMR 5175; CNRS - Université de Montpellier - Université Paul-Valéry Montpellier -EPHE; laboratoire Biogéographie et écologie des vertébrés; 1919 route de Mende 34293 Montpellier Cedex 5 France
| | - C. Perrier
- CEFE UMR 5175; CNRS - Université de Montpellier - Université Paul-Valéry Montpellier -EPHE; laboratoire Biogéographie et écologie des vertébrés; 1919 route de Mende 34293 Montpellier Cedex 5 France
| | - M. Pratlong
- Aix Marseille Université; CNRS; IRD; Avignon Université, IMBE UMR 7263; Station Marine d'Endoume, 13007; Marseille France
- Aix Marseille Université; CNRS; Centrale Marseille; I2M UMR 7373; Evolution Biologique Modélisation; 3 Place Victor Hugo, 13331 Marseille Cedex Case 19 France
| | - L. Abi-Rached
- Equipe ATIP; URMITE UM 63 CNRS 7278 IRD 198 Inserm U1095; IHU Méditerranée Infection; Aix-Marseille Université; 27 Boulevard Jean Moulin, 13385 Marseille Cedex 05 France
| | - J. Paganini
- XEGEN SAS; 15 Rue de la République 13420 Gemenos France
| | - P. Pontarotti
- Aix Marseille Université; CNRS; Centrale Marseille; I2M UMR 7373; Evolution Biologique Modélisation; 3 Place Victor Hugo, 13331 Marseille Cedex Case 19 France
| | - D. Aurelle
- Aix Marseille Université; CNRS; IRD; Avignon Université, IMBE UMR 7263; Station Marine d'Endoume, 13007; Marseille France
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141
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Thomsen H, Filho MIDS, Woltmann A, Johansson R, Eyfjörd JE, Hamann U, Manjer J, Enquist-Olsson K, Henriksson R, Herms S, Hoffmann P, Chen B, Huhn S, Hemminki K, Lenner P, Försti A. Inbreeding and homozygosity in breast cancer survival. Sci Rep 2015; 5:16467. [PMID: 26558712 PMCID: PMC4642301 DOI: 10.1038/srep16467] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Accepted: 10/14/2015] [Indexed: 02/07/2023] Open
Abstract
Genome-wide association studies (GWASs) help to understand the effects of single nucleotide polymorphisms (SNPs) on breast cancer (BC) progression and survival. We performed multiple analyses on data from a previously conducted GWAS for the influence of individual SNPs, runs of homozygosity (ROHs) and inbreeding on BC survival. (I.) The association of individual SNPs indicated no differences in the proportions of homozygous individuals among short-time survivors (STSs) and long-time survivors (LTSs). (II.) The analysis revealed differences among the populations for the number of ROHs per person and the total and average length of ROHs per person and among LTSs and STSs for the number of ROHs per person. (III.) Common ROHs at particular genomic positions were nominally more frequent among LTSs than in STSs. Common ROHs showed significant evidence for natural selection (iHS, Tajima's D, Fay-Wu's H). Most regions could be linked to genes related to BC progression or treatment. (IV.) Results were supported by a higher level of inbreeding among LTSs. Our results showed that an increased level of homozygosity may result in a preference of individuals during BC treatment. Although common ROHs were short, variants within ROHs might favor survival of BC and may function in a recessive manner.
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Affiliation(s)
- Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Andrea Woltmann
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Robert Johansson
- Department of Radiation Sciences & Oncology, Umeå University, Umeå, Sweden
| | - Jorunn E. Eyfjörd
- Cancer Research Laboratory, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jonas Manjer
- The Malmö Diet and Cancer Study, Lund University, Malmö, Sweden
- Department of Plastic Surgery, Skåne University Hospital, Malmö, Lund University, Malmö, Sweden
| | - Kerstin Enquist-Olsson
- Department of Public Health and Clinical Medicine/Nutritional Research, Umeå University, Umeå, Sweden
| | - Roger Henriksson
- Department of Radiation Sciences & Oncology, Umeå University, Umeå, Sweden
- Cancer Center Stockholm Gotland, Stockholm, Sweden
| | - Stefan Herms
- Institute of Human Genetics, Department of Genomics, University of Bonn, Bonn, Germany
- Division of Medical Genetics and Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Per Hoffmann
- Institute of Human Genetics, Department of Genomics, University of Bonn, Bonn, Germany
- Division of Medical Genetics and Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Bowang Chen
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Huhn
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, Sweden
| | - Per Lenner
- Department of Radiation Sciences & Oncology, Umeå University, Umeå, Sweden
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, Sweden
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142
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The genomics of ecological vicariance in threespine stickleback fish. Nat Commun 2015; 6:8767. [PMID: 26556609 PMCID: PMC4659939 DOI: 10.1038/ncomms9767] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 09/29/2015] [Indexed: 12/19/2022] Open
Abstract
Populations occurring in similar habitats and displaying similar phenotypes are increasingly used to explore parallel evolution at the molecular level. This generally ignores the possibility that parallel evolution can be mimicked by the fragmentation of an ancestral population followed by genetic exchange with ecologically different populations. Here we demonstrate such an ecological vicariance scenario in multiple stream populations of threespine stickleback fish divergent from a single adjacent lake population. On the basis of demographic and population genomic analyses, we infer the initial spread of a stream-adapted ancestor followed by the emergence of a lake-adapted population, that selective sweeps have occurred mainly in the lake population, that adaptive lake–stream divergence is maintained in the face of gene flow from the lake into the streams, and that this divergence involves major inversion polymorphisms also important to marine-freshwater stickleback divergence. Overall, our study highlights the need for a robust understanding of the demographic and selective history in evolutionary investigations. Threespine stickleback fish are adapted to lake and stream habitats in Central Europe. Here, the authors show colonization of a lake basin by a stream-adapted ancestor, followed by the emergence of a lake-adapted population in the face of gene flow across lake–stream boundaries.
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Genome-Wide Scan for Adaptive Divergence and Association with Population-Specific Covariates. Genetics 2015; 201:1555-79. [PMID: 26482796 DOI: 10.1534/genetics.115.181453] [Citation(s) in RCA: 247] [Impact Index Per Article: 27.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 10/12/2015] [Indexed: 11/18/2022] Open
Abstract
In population genomics studies, accounting for the neutral covariance structure across population allele frequencies is critical to improve the robustness of genome-wide scan approaches. Elaborating on the BayEnv model, this study investigates several modeling extensions (i) to improve the estimation accuracy of the population covariance matrix and all the related measures, (ii) to identify significantly overly differentiated SNPs based on a calibration procedure of the XtX statistics, and (iii) to consider alternative covariate models for analyses of association with population-specific covariables. In particular, the auxiliary variable model allows one to deal with multiple testing issues and, providing the relative marker positions are available, to capture some linkage disequilibrium information. A comprehensive simulation study was carried out to evaluate the performances of these different models. Also, when compared in terms of power, robustness, and computational efficiency to five other state-of-the-art genome-scan methods (BayEnv2, BayScEnv, BayScan, flk, and lfmm), the proposed approaches proved highly effective. For illustration purposes, genotyping data on 18 French cattle breeds were analyzed, leading to the identification of 13 strong signatures of selection. Among these, four (surrounding the KITLG, KIT, EDN3, and ALB genes) contained SNPs strongly associated with the piebald coloration pattern while a fifth (surrounding PLAG1) could be associated to morphological differences across the populations. Finally, analysis of Pool-Seq data from 12 populations of Littorina saxatilis living in two different ecotypes illustrates how the proposed framework might help in addressing relevant ecological issues in nonmodel species. Overall, the proposed methods define a robust Bayesian framework to characterize adaptive genetic differentiation across populations. The BayPass program implementing the different models is available at http://www1.montpellier.inra.fr/CBGP/software/baypass/.
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Hilton HG, Norman PJ, Nemat-Gorgani N, Goyos A, Hollenbach JA, Henn BM, Gignoux CR, Guethlein LA, Parham P. Loss and Gain of Natural Killer Cell Receptor Function in an African Hunter-Gatherer Population. PLoS Genet 2015; 11:e1005439. [PMID: 26292085 PMCID: PMC4546388 DOI: 10.1371/journal.pgen.1005439] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 07/13/2015] [Indexed: 12/12/2022] Open
Abstract
Modulating natural killer cell functions in human immunity and reproduction are diverse interactions between the killer cell immunoglobulin-like receptors (KIR) of Natural Killer (NK) cells and HLA class I ligands on the surface of tissue cells. Dominant interactions are between KIR2DL1 and the C2 epitope of HLA-C and between KIR2DL2/3 and the C1 epitope of HLA-C. KhoeSan hunter-gatherers of Southern Africa represent the earliest population divergence known and are the most genetically diverse indigenous people, qualities reflected in their KIR and HLA genes. Of the ten KhoeSan KIR2DL1 alleles, KIR2DL1*022 and KIR2DL1*026 likely originated in the KhoeSan, and later were transmitted at low frequency to the neighboring Zulus through gene flow. These alleles arose by point mutation from other KhoeSan KIR2DL1 alleles that are more widespread globally. Mutation of KIR2DL1*001 gave rise to KIR2DL1*022, causing loss of C2 recognition and gain of C1 recognition. This makes KIR2DL1*022 a more avid and specific C1 receptor than any KIR2DL2/3 allotype. Mutation of KIR2DL1*012 gave rise to KIR2DL1*026, causing premature termination of translation at the end of the transmembrane domain. This makes KIR2DL1*026 a membrane-associated receptor that lacks both a cytoplasmic tail and signaling function. At higher frequencies than their parental allotypes, the combined effect of the KhoeSan-specific KIR2DL1*022 and KIR2DL1*026 is to reduce the frequency of strong inhibitory C2 receptors and increase the frequency of strong inhibitory C1 receptors. Because interaction of KIR2DL1 with C2 is associated with risk of pregnancy disorder, these functional changes are potentially advantageous. Whereas all other KhoeSan KIR2DL1 alleles are present on a wide diversity of centromeric KIR haplotypes, KIR2DL1*026 is present on a single KIR haplotype and KIR2DL1*022 is present on two very similar haplotypes. The high linkage disequilibrium across their haplotypes is consistent with a recent emergence for these KIR2DL1 alleles that have distinctive functions.
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Affiliation(s)
- Hugo G. Hilton
- Departments of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Paul J. Norman
- Departments of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, California, United States of America
- * E-mail:
| | - Neda Nemat-Gorgani
- Departments of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Ana Goyos
- Departments of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco, California, United States of America
| | - Brenna M. Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Christopher R. Gignoux
- Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
| | - Lisbeth A. Guethlein
- Departments of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Peter Parham
- Departments of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, California, United States of America
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145
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Fuller ZL, Niño EL, Patch HM, Bedoya-Reina OC, Baumgarten T, Muli E, Mumoki F, Ratan A, McGraw J, Frazier M, Masiga D, Schuster S, Grozinger CM, Miller W. Genome-wide analysis of signatures of selection in populations of African honey bees (Apis mellifera) using new web-based tools. BMC Genomics 2015; 16:518. [PMID: 26159619 PMCID: PMC4496815 DOI: 10.1186/s12864-015-1712-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2014] [Accepted: 06/22/2015] [Indexed: 11/10/2022] Open
Abstract
Background With the development of inexpensive, high-throughput sequencing technologies, it has become feasible to examine questions related to population genetics and molecular evolution of non-model species in their ecological contexts on a genome-wide scale. Here, we employed a newly developed suite of integrated, web-based programs to examine population dynamics and signatures of selection across the genome using several well-established tests, including FST, pN/pS, and McDonald-Kreitman. We applied these techniques to study populations of honey bees (Apis mellifera) in East Africa. In Kenya, there are several described A. mellifera subspecies, which are thought to be localized to distinct ecological regions. Results We performed whole genome sequencing of 11 worker honey bees from apiaries distributed throughout Kenya and identified 3.6 million putative single-nucleotide polymorphisms. The dense coverage allowed us to apply several computational procedures to study population structure and the evolutionary relationships among the populations, and to detect signs of adaptive evolution across the genome. While there is considerable gene flow among the sampled populations, there are clear distinctions between populations from the northern desert region and those from the temperate, savannah region. We identified several genes showing population genetic patterns consistent with positive selection within African bee populations, and between these populations and European A. mellifera or Asian Apis florea. Conclusions These results lay the groundwork for future studies of adaptive ecological evolution in honey bees, and demonstrate the use of new, freely available web-based tools and workflows (http://usegalaxy.org/r/kenyanbee) that can be applied to any model system with genomic information. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1712-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Zachary L Fuller
- Department of Biology, Pennsylvania State University, University Park, PA, USA.
| | - Elina L Niño
- Department of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA.
| | - Harland M Patch
- Department of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA.
| | - Oscar C Bedoya-Reina
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA.
| | - Tracey Baumgarten
- Department of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA.
| | - Elliud Muli
- Department of Biological Sciences, South Eastern Kenya University (SEKU), P.O. Box 170-90200, Kitui, Kenya.
| | - Fiona Mumoki
- The International Center of Insect Physiology and Ecology (icipe), PO Box 30772-00100, Nairobi, Kenya.
| | - Aakrosh Ratan
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA.
| | - John McGraw
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA.
| | - Maryann Frazier
- Department of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA.
| | - Daniel Masiga
- The International Center of Insect Physiology and Ecology (icipe), PO Box 30772-00100, Nairobi, Kenya.
| | - Stephen Schuster
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA.
| | - Christina M Grozinger
- Department of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA, USA.
| | - Webb Miller
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA, USA
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146
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Bahbahani H, Clifford H, Wragg D, Mbole-Kariuki MN, Van Tassell C, Sonstegard T, Woolhouse M, Hanotte O. Signatures of positive selection in East African Shorthorn Zebu: A genome-wide single nucleotide polymorphism analysis. Sci Rep 2015; 5:11729. [PMID: 26130263 PMCID: PMC4486961 DOI: 10.1038/srep11729] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 06/03/2015] [Indexed: 12/02/2022] Open
Abstract
The small East African Shorthorn Zebu (EASZ) is the main indigenous cattle across East Africa. A recent genome wide SNP analysis revealed an ancient stable African taurine x Asian zebu admixture. Here, we assess the presence of candidate signatures of positive selection in their genome, with the aim to provide qualitative insights about the corresponding selective pressures. Four hundred and twenty-five EASZ and four reference populations (Holstein-Friesian, Jersey, N’Dama and Nellore) were analysed using 46,171 SNPs covering all autosomes and the X chromosome. Following FST and two extended haplotype homozygosity-based (iHS and Rsb) analyses 24 candidate genome regions within 14 autosomes and the X chromosome were revealed, in which 18 and 4 were previously identified in tropical-adapted and commercial breeds, respectively. These regions overlap with 340 bovine QTL. They include 409 annotated genes, in which 37 were considered as candidates. These genes are involved in various biological pathways (e.g. immunity, reproduction, development and heat tolerance). Our results support that different selection pressures (e.g. environmental constraints, human selection, genome admixture constrains) have shaped the genome of EASZ. We argue that these candidate regions represent genome landmarks to be maintained in breeding programs aiming to improve sustainable livestock productivity in the tropics.
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Affiliation(s)
- Hussain Bahbahani
- 1] School of Life Sciences, University of Nottingham, NG7 2RD, Nottingham, UK [2] Department of Biological Sciences, Faculty of Science, Kuwait University, Safat 13060, Kuwait
| | - Harry Clifford
- Department of Physiology, Anatomy and Genetics, University of Oxford, OX1 3QX, Oxford, UK
| | - David Wragg
- Institut National de la Recherche Agronomique (INRA), UMR 1338 Génétique, Physiologie et Systèmes d'Elevage (GenPhySE), 31326 Castanet Tolosan, France
| | - Mary N Mbole-Kariuki
- African Union - InterAfrican Bureau of Animal Resources (AU-IBAR), P. O. Box 30786, 00100 Nairobi, Kenya
| | - Curtis Van Tassell
- United States Department of Agriculture, Agricultural Research Service, Animal Genomics and Improvement Laboratory, USA
| | - Tad Sonstegard
- United States Department of Agriculture, Agricultural Research Service, Animal Genomics and Improvement Laboratory, USA
| | - Mark Woolhouse
- Centre for Immunity, Infection &Evolution, Ashworth Laboratories, Kings Buildings, University of Edinburgh, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK
| | - Olivier Hanotte
- School of Life Sciences, University of Nottingham, NG7 2RD, Nottingham, UK
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147
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Flores-López CA, Machado CA. Differences in inferred genome-wide signals of positive selection during the evolution of Trypanosoma cruzi and Leishmania spp. lineages: A result of disparities in host and tissue infection ranges? INFECTION GENETICS AND EVOLUTION 2015; 33:37-46. [DOI: 10.1016/j.meegid.2015.04.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Revised: 03/19/2015] [Accepted: 04/09/2015] [Indexed: 01/21/2023]
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148
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Comeault AA, Flaxman SM, Riesch R, Curran E, Soria-Carrasco V, Gompert Z, Farkas TE, Muschick M, Parchman TL, Schwander T, Slate J, Nosil P. Selection on a genetic polymorphism counteracts ecological speciation in a stick insect. Curr Biol 2015; 25:1975-81. [PMID: 26119745 DOI: 10.1016/j.cub.2015.05.058] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 04/02/2015] [Accepted: 05/28/2015] [Indexed: 01/09/2023]
Abstract
The interplay between selection and aspects of the genetic architecture of traits (such as linkage, dominance, and epistasis) can either drive or constrain speciation [1-3]. Despite accumulating evidence that speciation can progress to "intermediate" stages-with populations evolving only partial reproductive isolation-studies describing selective mechanisms that impose constraints on speciation are more rare than those describing drivers. The stick insect Timema cristinae provides an example of a system in which partial reproductive isolation has evolved between populations adapted to different host plant environments, in part due to divergent selection acting on a pattern polymorphism [4, 5]. Here, we demonstrate how selection on a green/melanistic color polymorphism counteracts speciation in this system. Specifically, divergent selection between hosts does not occur on color phenotypes because melanistic T. cristinae are cryptic on the stems of both host species, are resistant to a fungal pathogen, and have a mating advantage. Using genetic crosses and genome-wide association mapping, we quantify the genetic architecture of both the pattern and color polymorphism, illustrating their simple genetic control. We use these empirical results to develop an individual-based model that shows how the melanistic phenotype acts as a "genetic bridge" that increases gene flow between populations living on different hosts. Our results demonstrate how variation in the nature of selection acting on traits, and aspects of trait genetic architecture, can impose constraints on both local adaptation and speciation.
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Affiliation(s)
- Aaron A Comeault
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK.
| | - Samuel M Flaxman
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA
| | - Rüdiger Riesch
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK; School of Biological Sciences, Royal Holloway University of London, Egham, Surrey TW20 0EX, UK
| | - Emma Curran
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Víctor Soria-Carrasco
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
| | | | - Timothy E Farkas
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Moritz Muschick
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
| | | | - Tanja Schwander
- Department of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland
| | - Jon Slate
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Patrik Nosil
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
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149
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Wilburn DB, Swanson WJ. From molecules to mating: Rapid evolution and biochemical studies of reproductive proteins. J Proteomics 2015; 135:12-25. [PMID: 26074353 DOI: 10.1016/j.jprot.2015.06.007] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 06/09/2015] [Accepted: 06/10/2015] [Indexed: 01/10/2023]
Abstract
UNLABELLED Sexual reproduction and the exchange of genetic information are essential biological processes for species across all branches of the tree of life. Over the last four decades, biochemists have continued to identify many of the factors that facilitate reproduction, but the molecular mechanisms that mediate this process continue to elude us. However, a recurring observation in this research has been the rapid evolution of reproductive proteins. In animals, the competing interests of males and females often result in arms race dynamics between pairs of interacting proteins. This phenomenon has been observed in all stages of reproduction, including pheromones, seminal fluid components, and gamete recognition proteins. In this article, we review how the integration of evolutionary theory with biochemical experiments can be used to study interacting reproductive proteins. Examples are included from both model and non-model organisms, and recent studies are highlighted for their use of state-of-the-art genomic and proteomic techniques. SIGNIFICANCE Despite decades of research, our understanding of the molecular mechanisms that mediate fertilization remain poorly characterized. To date, molecular evolutionary studies on both model and non-model organisms have provided some of the best inferences to elucidating the molecular underpinnings of animal reproduction. This review article details how biochemical and evolutionary experiments have jointly enhanced the field for 40 years, and how recent work using high-throughput genomic and proteomic techniques have shed additional insights into this crucial biological process.
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Affiliation(s)
- Damien B Wilburn
- Department of Genome Sciences, University of Washington, United States.
| | - Willie J Swanson
- Department of Genome Sciences, University of Washington, United States
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150
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Natural Selection and Functional Potentials of Human Noncoding Elements Revealed by Analysis of Next Generation Sequencing Data. PLoS One 2015; 10:e0129023. [PMID: 26053627 PMCID: PMC4460046 DOI: 10.1371/journal.pone.0129023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Accepted: 05/04/2015] [Indexed: 11/19/2022] Open
Abstract
Noncoding DNA sequences (NCS) have attracted much attention recently due to their functional potentials. Here we attempted to reveal the functional roles of noncoding sequences from the point of view of natural selection that typically indicates the functional potentials of certain genomic elements. We analyzed nearly 37 million single nucleotide polymorphisms (SNPs) of Phase I data of the 1000 Genomes Project. We estimated a series of key parameters of population genetics and molecular evolution to characterize sequence variations of the noncoding genome within and between populations, and identified the natural selection footprints in NCS in worldwide human populations. Our results showed that purifying selection is prevalent and there is substantial constraint of variations in NCS, while positive selectionis more likely to be specific to some particular genomic regions and regional populations. Intriguingly, we observed larger fraction of non-conserved NCS variants with lower derived allele frequency in the genome, indicating possible functional gain of non-conserved NCS. Notably, NCS elements are enriched for potentially functional markers such as eQTLs, TF motif, and DNase I footprints in the genome. More interestingly, some NCS variants associated with diseases such as Alzheimer's disease, Type 1 diabetes, and immune-related bowel disorder (IBD) showed signatures of positive selection, although the majority of NCS variants, reported as risk alleles by genome-wide association studies, showed signatures of negative selection. Our analyses provided compelling evidence of natural selection forces on noncoding sequences in the human genome and advanced our understanding of their functional potentials that play important roles in disease etiology and human evolution.
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