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Tiwari M, Gujar G, Shashank CG, Ponsuksili S. Selection signatures for high altitude adaptation in livestock: A review. Gene 2024; 927:148757. [PMID: 38986751 DOI: 10.1016/j.gene.2024.148757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024]
Abstract
High altitude adapted livestock species (cattle, yak, goat, sheep, and horse) has critical role in the human socioeconomic sphere and acts as good source of animal source products including milk, meat, and leather, among other things. These species sustain production and reproduction even in harsh environments on account of adaptation resulting from continued evolution of beneficial traits. Selection pressure leads to various adaptive strategies in livestock whose footprints are evident at the different genomic sites as the "Selection Signature". Scrutiny of these signatures provides us crucial insight into the evolutionary process and domestication of livestock adapted to diverse climatic conditions. These signatures have the potential to change the sphere of animal breeding and further usher the selection programmes in right direction. Technological revolution and recent strides made in genomic studies has opened the routes for the identification of selection signatures. Numerous statistical approaches and bioinformatics tools have been developed to detect the selection signature. Consequently, studies across years have identified candidate genes under selection region found associated with numerous traits which have a say in adaptation to high-altitude environment. This makes it pertinent to have a better understanding about the selection signature, the ways to identify and how to utilize them for betterment of livestock populations as well as farmers. This review takes a closer look into the general concept, various methodologies, and bioinformatics tools commonly employed in selection signature studies and summarize the results of recent selection signature studies related to high-altitude adaptation in various livestock species. This review will serve as an informative and useful insight for researchers and students in the field of animal breeding and evolutionary biology.
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Affiliation(s)
- Manish Tiwari
- ICAR-National Dairy Research Institute, Karnal, India; U.P. Pt. Deen Dayal Upadhyaya Veterinary Science University and Cattle Research Institute, Mathura, India.
| | | | - C G Shashank
- ICAR-National Dairy Research Institute, Karnal, India
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2
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Caccavo JA, Arantes LS, Celemín E, Mbedi S, Sparmann S, Mazzoni CJ. Whole-genome resequencing improves the utility of otoliths as a critical source of DNA for fish stock research and monitoring. Mol Ecol Resour 2024:e14013. [PMID: 39233613 DOI: 10.1111/1755-0998.14013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 07/23/2024] [Accepted: 08/15/2024] [Indexed: 09/06/2024]
Abstract
Fish ear bones, known as otoliths, are often collected in fisheries to assist in management, and are a common sample type in museum and national archives. Beyond their utility for ageing, morphological and trace element analysis, otoliths are a repository of valuable genomic information. Previous work has shown that DNA can be extracted from the trace quantities of tissue remaining on the surface of otoliths, despite the fact that they are often stored dry at room temperature. However, much of this work has used reduced representation sequencing methods in clean lab conditions, to achieve adequate yields of DNA, libraries and ultimately single-nucleotide polymorphisms (SNPs). Here, we pioneer the use of small-scale (spike-in) sequencing to screen contemporary otolith samples prepared in regular molecular biology (in contrast to clean) laboratories for contamination and quality levels, submitting for whole-genome resequencing only samples above a defined endogenous DNA threshold. Despite the typically low quality and quantity of DNA extracted from otoliths, we are able to produce whole-genome libraries and ultimately sets of filtered, unlinked and even putatively adaptive SNPs of ample numbers for downstream uses in population, climate and conservation genomics. By comparing with a set of tissue samples from the same species, we are able to highlight the quality and efficacy of otolith samples from DNA extraction and library preparation, to bioinformatic preprocessing and SNP calling. We provide detailed schematics, protocols and scripts of our approach, such that it can be adopted widely by the community, improving the use of otoliths as a source of valuable genomic data.
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Affiliation(s)
- Jilda Alicia Caccavo
- Berlin Center for Genomics in Biodiversity Research, BeGenDiv, Berlin, Germany
- Department of Evolutionary Genetics, Leibniz-Institut für Zoo- und Wildtierforschung, IZW, Berlin, Germany
| | - Larissa S Arantes
- Berlin Center for Genomics in Biodiversity Research, BeGenDiv, Berlin, Germany
- Department of Evolutionary Genetics, Leibniz-Institut für Zoo- und Wildtierforschung, IZW, Berlin, Germany
| | - Enrique Celemín
- Institute of Biochemistry and Biology, Evolutionary Biology & Systematic Zoology, University of Potsdam, Potsdam, Germany
| | - Susan Mbedi
- Berlin Center for Genomics in Biodiversity Research, BeGenDiv, Berlin, Germany
- Museum für Naturkunde, Berlin, Germany
| | - Sarah Sparmann
- Berlin Center for Genomics in Biodiversity Research, BeGenDiv, Berlin, Germany
- Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB), Berlin, Germany
| | - Camila J Mazzoni
- Berlin Center for Genomics in Biodiversity Research, BeGenDiv, Berlin, Germany
- Department of Evolutionary Genetics, Leibniz-Institut für Zoo- und Wildtierforschung, IZW, Berlin, Germany
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3
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Kuo WH, Zhong L, Wright SJ, Goad DM, Olsen KM. Beyond cyanogenesis: Temperature gradients drive environmental adaptation in North American white clover (Trifolium repens L.). Mol Ecol 2024; 33:e17484. [PMID: 39072878 DOI: 10.1111/mec.17484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 07/15/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024]
Abstract
Species that repeatedly evolve phenotypic clines across environmental gradients have been highlighted as ideal systems for characterizing the genomic basis of local environmental adaptation. However, few studies have assessed the importance of observed phenotypic clines for local adaptation: conspicuous traits that vary clinally may not necessarily be the most critical in determining local fitness. The present study was designed to fill this gap, using a plant species characterized by repeatedly evolved adaptive phenotypic clines. White clover is naturally polymorphic for its chemical defence cyanogenesis (HCN release with tissue damage); climate-associated cyanogenesis clines have evolved throughout its native and introduced range worldwide. We performed landscape genomic analyses on 415 wild genotypes from 43 locations spanning much of the North American species range to assess the relative importance of cyanogenesis loci vs. other genomic factors in local climatic adaptation. We find clear evidence of local adaptation, with temperature-related climatic variables best describing genome-wide differentiation between sampling locations. The same climatic variables are also strongly correlated with cyanogenesis frequencies and gene copy number variations (CNVs) at cyanogenesis loci. However, landscape genomic analyses indicate no significant contribution of cyanogenesis loci to local adaptation. Instead, several genomic regions containing promising candidate genes for plant response to seasonal cues are identified - some of which are shared with previously identified QTLs for locally adaptive fitness traits in North American white clover. Our findings suggest that local adaptation in white clover is likely determined primarily by genes controlling the timing of growth and flowering in response to local seasonal cues. More generally, this work suggests that caution is warranted when considering the importance of conspicuous phenotypic clines as primary determinants of local adaptation.
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Affiliation(s)
- Wen-Hsi Kuo
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - Limei Zhong
- Jiangxi Key Laboratory of Molecular Biology and Gene Engineering, School of Life Sciences, Nanchang University, Nanchang, China
| | - Sara J Wright
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - David M Goad
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - Kenneth M Olsen
- Department of Biology, Washington University, St. Louis, Missouri, USA
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Bringloe TT, Bourret A, Cote D, Marie-Julie R, Herbig J, Robert D, Geoffroy M, Parent GJ. Genomic architecture and population structure of Boreogadus saida from Canadian waters. Sci Rep 2024; 14:19331. [PMID: 39164428 PMCID: PMC11336163 DOI: 10.1038/s41598-024-69782-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 08/08/2024] [Indexed: 08/22/2024] Open
Abstract
The polar cod, Boreogadus saida, is an abundant and ubiquitous forage fish and a crucial link in Arctic marine trophic dynamics. Our objective was to unravel layers of genomic structure in B. saida from Canadian waters, specifically screening for potential hybridization with the Arctic cod, Arctogadus glacialis, large chromosomal inversions, and sex-linked regions, prior to interpreting population structure. Our analysis of 53,384 SNPs in 522 individuals revealed hybridization and introgression between A. glacialis and B. saida. Subsequent population level analyses of B. saida using 12,305 SNPs in 511 individuals revealed three large (ca. 7.4-16.1 Mbp) chromosomal inversions, and a 2 Mbp region featuring sex-linked loci. We showcase population structuring across the Western and Eastern North American Arctic, and subarctic regions ranging from the Hudson Bay to the Canadian Atlantic maritime provinces. Genomic signal for the inferred population structure was highly aggregated into a handful of SNPs (13.8%), pointing to potentially important adaptive evolution across the Canadian range. Our study provides a high-resolution perspective on the genomic structure of B. saida, providing a foundation for work that could be expanded to the entire circumpolar range for the species.
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Affiliation(s)
- Trevor T Bringloe
- Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, QC, G5H 3Z4, Canada.
| | - Audrey Bourret
- Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, QC, G5H 3Z4, Canada
| | - David Cote
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, A0G 2M0, Canada
| | - Roux Marie-Julie
- Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, QC, G5H 3Z4, Canada
| | - Jennifer Herbig
- Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial, University of Newfoundland, St. John's, A1C 5R3, Canada
| | - Dominique Robert
- Institut Des Sciences de La Mer, Université du Québec à Rimouski, Rimouski, QC, G5L 3A1, Canada
| | - Maxime Geoffroy
- Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute of Memorial, University of Newfoundland, St. John's, A1C 5R3, Canada
- Department of Arctic and Marine Biology, UiT The Arctic University of Norway, 9036, Tromsø, Norway
| | - Geneviève J Parent
- Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont-Joli, QC, G5H 3Z4, Canada.
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Bourret A, Leung C, Puncher GN, Le Corre N, Deslauriers D, Skanes K, Bourdages H, Cassista-Da Ros M, Walkusz W, Jeffery NW, Stanley RRE, Parent GJ. Diving into broad-scale and high-resolution population genomics to decipher drivers of structure and climatic vulnerability in a marine invertebrate. Mol Ecol 2024; 33:e17448. [PMID: 38946210 DOI: 10.1111/mec.17448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/11/2024] [Accepted: 06/19/2024] [Indexed: 07/02/2024]
Abstract
Species with widespread distributions play a crucial role in our understanding of climate change impacts on population structure. In marine species, population structure is often governed by both high connectivity potential and selection across strong environmental gradients. Despite the complexity of factors influencing marine populations, studying species with broad distribution can provide valuable insights into the relative importance of these factors and the consequences of climate-induced alterations across environmental gradients. We used the northern shrimp Pandalus borealis and its wide latitudinal distribution to identify current drivers of population structure and predict the species' vulnerability to climate change. A total of 1514 individuals sampled across 24° latitude were genotyped at high geographic (54 stations) and genetic (14,331 SNPs) resolutions to assess genetic variation and environmental correlations. Four populations were identified in addition to finer substructure associated with local adaptation. Geographic patterns of neutral population structure reflected predominant oceanographic currents, while a significant proportion of the genetic variation was associated with gradients in salinity and temperature. Adaptive landscapes generated using climate projections suggest a larger genomic offset in the southern extent of the P. borealis range, where shrimp had the largest adaptive standing genetic variation. Our genomic results combined with recent observations point to further deterioration in southern regions and an impending vulnerable status in the regions at higher latitudes for P. borealis. They also provide rare insights into the drivers of population structure and climatic vulnerability of a widespread meroplanktonic species, which is crucial to understanding future challenges associated with invertebrates essential to ecosystem functioning.
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Affiliation(s)
- Audrey Bourret
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
| | - Christelle Leung
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
| | - Gregory N Puncher
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Nicolas Le Corre
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
| | - David Deslauriers
- Institut des Sciences de la Mer de Rimouski, Université du Québec à Rimouski, Rimouski, Quebec, Canada
| | - Katherine Skanes
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
| | - Hugo Bourdages
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
| | - Manon Cassista-Da Ros
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Wojciech Walkusz
- Freshwater Institute, Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | - Nicholas W Jeffery
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Ryan R E Stanley
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Geneviève J Parent
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
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Bazakos C, Michailidis M, Tourvas N, Alexiou KG, Mellidou I, Polychroniadou C, Boutsika A, Xanthopoulou A, Moysiadis T, Skodra C, Kollaros MG, Glavakis E, Stournaras V, Karagiannis E, Aravanopoulos F, Molassiotis A, Tanou G, Ganopoulos I. Genetic mosaic of the Mediterranean fig: comprehensive genomic insights from a gene bank collection. PHYSIOLOGIA PLANTARUM 2024; 176:e14482. [PMID: 39149812 DOI: 10.1111/ppl.14482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 07/10/2024] [Indexed: 08/17/2024]
Abstract
High-depth whole-genome resequencing of 53 diverse fig tree genotypes yielded a rich dataset of genetic variants. We successfully identified 5,501,460 single-nucleotide polymorphisms (SNPs) and 1,228,537 insertions and deletions (InDels), providing a high-density and excellent-quality genetic map of the fig tree. We also performed a detailed population structure analysis, dividing the 53 genotypes into three geographical groups and assessing their genetic diversity and divergence. Analysis of structural variants (SVs) and copy number variations (CNVs) revealed their potential functional impact, particularly in plant-pathogen interaction and secondary metabolism. Metabolomic fingerprinting of fig genotypes uncovered extensive variation in primary metabolites and polyphenolic compounds, highlighting the influence of genotype on fruit quality traits such as nutritional content and bioactive compound composition. The genome-wide association study (GWAS) identified critical SNPs associated with fruit quality and morphological features. The discovery of significant candidate genes, such as AGL62, GDSL, and COBRA-like protein 4 genes, offers promising targets for marker-assisted selection and genome editing approaches to improve fig fruit morphological and quality traits. This extensive genomic analysis of fig trees enhances our understanding of the genetic basis of important agronomic traits and provides a rich resource for future research in this economically and nutritionally significant fruit.
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Affiliation(s)
- Christos Bazakos
- Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
- Max Planck Institute for Plant Breeding Research, Department of Comparative Development and Genetics, Cologne, Germany
| | - Michail Michailidis
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
- Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, Thermi, Greece
| | - Nikolaos Tourvas
- Laboratory of Forest Genetics, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantinos G Alexiou
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | - Ifigeneia Mellidou
- Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
| | - Chrysanthi Polychroniadou
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
- Institute of Soil and Water Resources, ELGO-DIMITRA, Thermi, Greece
| | - Anastasia Boutsika
- Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece
| | - Aliki Xanthopoulou
- Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
| | - Theodoros Moysiadis
- Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece
- Institute of Soil and Water Resources, ELGO-DIMITRA, Thermi, Greece
- Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Nicosia, Cyprus
| | - Christina Skodra
- Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, Thermi, Greece
| | - Marios-Georgios Kollaros
- Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, Thermi, Greece
| | | | - Vasileios Stournaras
- Institute of Olive Tree, Subtropical Crops and Viticulture, ELGO-DIMITRA, Department of Olive and Horticultural Crops, Kalamata, Greece
- Department of Agriculture, University of Ioannina, Arta, Greece
| | | | - Filippos Aravanopoulos
- Laboratory of Forest Genetics, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Athanassios Molassiotis
- Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, Thermi, Greece
| | - Georgia Tanou
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
- Institute of Soil and Water Resources, ELGO-DIMITRA, Thermi, Greece
| | - Ioannis Ganopoulos
- Institute of Plant Breeding and Genetic Resources, ELGO DIMITRA, Thermi, Greece
- Joint Laboratory of Horticulture, ELGO DIMITRA, Thermi, Greece
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Fox JA, Hunt DAGA, Hendry AP, Chapman LJ, Barrett RDH. Counter-gradient variation in gene expression between fish populations facilitates colonization of low-dissolved oxygen environments. Mol Ecol 2024; 33:e17419. [PMID: 38808559 DOI: 10.1111/mec.17419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 05/10/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024]
Abstract
The role of phenotypic plasticity during colonization remains unclear due to the shifting importance of plasticity across timescales. In the early stages of colonization, plasticity can facilitate persistence in a novel environment; but over evolutionary time, processes such as genetic assimilation may reduce variation in plastic traits such that species with a longer evolutionary history in an environment can show lower levels of plasticity than recent invaders. Therefore, comparing species in the early stages of colonization to long-established species provides a powerful approach for uncovering the role of phenotypic plasticity during different stages of colonization. We compared gene expression between low-dissolved oxygen (DO) and high-DO populations of two cyprinid fish: Enteromius apleurogramma, a species that has undergone a recent range expansion, and E. neumayeri, a long-established native species in the same region. We sampled tissue either immediately after capture from the field or after a 2-week acclimation under high-DO conditions, allowing us to test for both evolved and plastic differences in low-DO vs high-DO populations of each species. We found that most genes showing candidate-evolved differences in gene expression did not overlap with those showing plastic differences in gene expression. However, in the genes that did overlap, there was counter-gradient variation such that plastic and evolved gene expression responses were in opposite directions in both species. Additionally, E. apleurogramma had higher levels of plasticity and evolved divergence in gene expression between field populations. We suggest that the higher level of plasticity and counter-gradient variation may have allowed rapid genetic adaptation in E. apleurogramma and facilitated colonization. This study shows how counter-gradient variation may impact the colonization of divergent oxygen environments.
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Affiliation(s)
- Janay A Fox
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - David A G A Hunt
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Andrew P Hendry
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Lauren J Chapman
- Department of Biology, McGill University, Montreal, Quebec, Canada
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Cai Z, Hansen LS, Laursen SF, Nielsen HM, Bahrndorff S, Tomberlin JK, Kristensen TN, Sørensen JG, Sahana G. Whole-genome sequencing of two captive black soldier fly populations: Implications for commercial production. Genomics 2024; 116:110891. [PMID: 38909907 DOI: 10.1016/j.ygeno.2024.110891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/31/2024] [Accepted: 06/20/2024] [Indexed: 06/25/2024]
Abstract
Black soldier fly (BSF; Hermetia illucens) is a promising insect species for food and feed production as its larvae can convert different organic waste to high-value protein. Selective breeding is one way to optimize production, but the potential of breeding is only starting to be explored and not yet utilized for BSF. To assist in monitoring a captive population and implementing a breeding program, genomics tools are imperative. We conducted whole genome sequencing of two captive populations separated by geographical distance - Denmark (DK) and Texas, USA (TX). Various population genetics analyses revealed a moderate genetic differentiation between two populations. Moreover, we observed higher inbreeding in the DK population, and the detection of a subpopulation within DK population aligned well with the recent foundation of the DK population from two captive populations. Additionally, we generated gene ontology annotation and variants annotation for wider potential applications. Our findings establish a robust marker set for research in population genetics, facilitating the monitoring of inbreeding and laying the groundwork for practical breeding programs for BSF.
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Affiliation(s)
- Zexi Cai
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark.
| | - Laura Skrubbeltrang Hansen
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark; Department of Biology, Aarhus University, Ny Munkegade 116, 8000 Aarhus, Denmark.
| | - Stine Frey Laursen
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
| | - Hanne Marie Nielsen
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark.
| | - Simon Bahrndorff
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
| | | | - Torsten Nygaard Kristensen
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg, Denmark.
| | | | - Goutam Sahana
- Center for Quantitative Genetics and Genomics, Aarhus University, C F Møllers Allé 3, 8000 Aarhus, Denmark.
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Yang C, Zhang X, Yan S, Yang S, Wu B, You F, Cui Y, Xie N, Wang Z, Jin L, Xu S, Zhang M. Large-scale lexical and genetic alignment supports a hybrid model of Han Chinese demic and cultural diffusions. Nat Hum Behav 2024; 8:1163-1176. [PMID: 38740988 DOI: 10.1038/s41562-024-01886-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 04/11/2024] [Indexed: 05/16/2024]
Abstract
The Han Chinese history is shaped by substantial demographic activities and sociocultural transmissions. However, it remains challenging to assess the contributions of demic and cultural diffusion to Han culture and language, primarily due to the lack of rigorous examination of genetic-linguistic congruence. Here we digitized a large-scale linguistic inventory comprising 1,018 lexical traits across 926 dialect varieties. Using phylogenetic analysis and admixture inference, we revealed a north-south gradient of lexical differences that probably resulted from historical migrations. Furthermore, we quantified extensive horizontal language transfers and pinpointed central China as a dialectal melting pot. Integrating genetic data from 30,408 Han Chinese individuals, we compared the lexical and genetic landscapes across 26 provinces. Our results support a hybrid model where demic diffusion predominantly impacts central China, while cultural diffusion and language assimilation occur in southwestern and coastal regions, respectively. This interdisciplinary study sheds light on the complex social-genetic history of the Han Chinese.
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Affiliation(s)
- Chengkun Yang
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, China
| | - Xiaoxi Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Shi Yan
- School of Ethnology and Sociology, Minzu University of China, Beijing, China
| | - Sizhe Yang
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, China
| | - Baihui Wu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, China
| | - Fengshuo You
- Department of Chinese Language and Literature, Fudan University, Shanghai, China
| | - Yue Cui
- Department of Cultural Heritage and Museology, Fudan University, Shanghai, China
| | - Ni Xie
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhiyi Wang
- Department of Chinese Language and Literature, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, China.
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
| | - Menghan Zhang
- Institute of Modern Languages and Linguistics, Fudan University, Shanghai, China.
- Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China.
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China.
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10
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Forest T, Achaz G, Marbouty M, Bignaud A, Thierry A, Koszul R, Milhes M, Lledo J, Pons JM, Fuchs J. Chromosome-level genome assembly of the European green woodpecker Picus viridis. G3 (BETHESDA, MD.) 2024; 14:jkae042. [PMID: 38537260 PMCID: PMC11075563 DOI: 10.1093/g3journal/jkae042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/15/2024] [Indexed: 05/08/2024]
Abstract
The European green woodpecker, Picus viridis, is a widely distributed species found in the Western Palearctic region. Here, we assembled a highly contiguous genome assembly for this species using a combination of short- and long-read sequencing and scaffolded with chromatin conformation capture (Hi-C). The final genome assembly was 1.28 Gb and features a scaffold N50 of 37 Mb and a scaffold L50 of 39.165 Mb. The assembly incorporates 89.4% of the genes identified in birds in OrthoDB. Gene and repetitive content annotation on the assembly detected 15,805 genes and a ∼30.1% occurrence of repetitive elements, respectively. Analysis of synteny demonstrates the fragmented nature of the P. viridis genome when compared to the chicken (Gallus gallus). The assembly and annotations produced in this study will certainly help for further research into the genomics of P. viridis and the comparative evolution of woodpeckers. Five historical and seven contemporary samples have been resequenced and may give insights on the population history of this species.
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Affiliation(s)
- Thomas Forest
- Éco-anthropologie, Muséum national d’Histoire naturelle, CNRS UMR 7206, 75005 Paris, France
- CIRB, Collège de France, Université PSL, CNRS, INSERM, 75005 Paris, France
- Institut de Systématique Evolution Biodiversité, Muséum national d’Histoire naturelle CNRS SU EPHE UA, CP 51, 75005 Paris, France
| | - Guillaume Achaz
- CIRB, Collège de France, Université PSL, CNRS, INSERM, 75005 Paris, France
- Université Paris-Cité, 75006 Paris, France
| | - Martial Marbouty
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, 75015 Paris, France
| | - Amaury Bignaud
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, 75015 Paris, France
| | - Agnès Thierry
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, 75015 Paris, France
| | - Romain Koszul
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, 75015 Paris, France
| | - Marine Milhes
- PlaGe, INRAE, Genotoul, 31320 Castanet-Tolosan, France
| | - Joanna Lledo
- PlaGe, INRAE, Genotoul, 31320 Castanet-Tolosan, France
| | - Jean-Marc Pons
- Institut de Systématique Evolution Biodiversité, Muséum national d’Histoire naturelle CNRS SU EPHE UA, CP 51, 75005 Paris, France
| | - Jérôme Fuchs
- Institut de Systématique Evolution Biodiversité, Muséum national d’Histoire naturelle CNRS SU EPHE UA, CP 51, 75005 Paris, France
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11
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Kess T, Lehnert SJ, Bentzen P, Duffy S, Messmer A, Dempson JB, Newport J, Whidden C, Robertson MJ, Chaput G, Breau C, April J, Gillis C, Kent M, Nugent CM, Bradbury IR. Variable parallelism in the genomic basis of age at maturity across spatial scales in Atlantic Salmon. Ecol Evol 2024; 14:e11068. [PMID: 38584771 PMCID: PMC10995719 DOI: 10.1002/ece3.11068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 01/31/2024] [Indexed: 04/09/2024] Open
Abstract
Complex traits often exhibit complex underlying genetic architectures resulting from a combination of evolution from standing variation, hard and soft sweeps, and alleles of varying effect size. Increasingly, studies implicate both large-effect loci and polygenic patterns underpinning adaptation, but the extent that common genetic architectures are utilized during repeated adaptation is not well understood. Sea age or age at maturation represents a significant life history trait in Atlantic Salmon (Salmo salar), the genetic basis of which has been studied extensively in European Atlantic populations, with repeated identification of large-effect loci. However, the genetic basis of sea age within North American Atlantic Salmon populations remains unclear, as does the potential for a parallel trans-Atlantic genomic basis to sea age. Here, we used a large single-nucleotide polymorphism (SNP) array and low-coverage whole-genome resequencing to explore the genomic basis of sea age variation in North American Atlantic Salmon. We found significant associations at the gene and SNP level with a large-effect locus (vgll3) previously identified in European populations, indicating genetic parallelism, but found that this pattern varied based on both sex and geographic region. We also identified nonrepeated sets of highly predictive loci associated with sea age among populations and sexes within North America, indicating polygenicity and low rates of genomic parallelism. Despite low genome-wide parallelism, we uncovered a set of conserved molecular pathways associated with sea age that were consistently enriched among comparisons, including calcium signaling, MapK signaling, focal adhesion, and phosphatidylinositol signaling. Together, our results indicate parallelism of the molecular basis of sea age in North American Atlantic Salmon across large-effect genes and molecular pathways despite population-specific patterns of polygenicity. These findings reveal roles for both contingency and repeated adaptation at the molecular level in the evolution of life history variation.
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Affiliation(s)
- Tony Kess
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Sarah J. Lehnert
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Paul Bentzen
- Department of BiologyDalhousie UniversityHalifaxNova ScotiaCanada
| | - Steven Duffy
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Amber Messmer
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - J. Brian Dempson
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Jason Newport
- Marine Environmental Research Infrastructure for Data Integration and Application NetworkHalifaxNova ScotiaCanada
| | | | - Martha J. Robertson
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Gerald Chaput
- Fisheries and Oceans CanadaGulf Fisheries CentreMonctonNew BrunswickCanada
| | - Cindy Breau
- Fisheries and Oceans CanadaGulf Fisheries CentreMonctonNew BrunswickCanada
| | - Julien April
- Ministère des Forêts de la Faune et des ParcsQuebecQuebecCanada
| | - Carole‐Anne Gillis
- Gespe'gewa'gi, Mi'gma'qi, ListugujGespe'gewa'gi Institute of Natural UnderstandingQuebecQuebecCanada
| | - Matthew Kent
- Centre for Integrative GeneticsNorwegian University of Life SciencesÅsNorway
| | - Cameron M. Nugent
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Ian R. Bradbury
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
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12
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Ollé-Vilanova J, Hajjej G, Macias D, Saber S, Lino PG, Muñoz-Lechuga R, Baibbat S, Sow FN, Diaha NC, Araguas RM, Sanz N, Vinas J. Atlantic bonito (Sarda) genomic analysis reveals population differentiation across Northeast Atlantic and mediterranean locations: Implications for fishery management. MARINE ENVIRONMENTAL RESEARCH 2024; 196:106408. [PMID: 38402010 DOI: 10.1016/j.marenvres.2024.106408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 02/26/2024]
Abstract
The Atlantic bonito (Sarda, family Scombridae) is a pelagic species and one of the most exploited small tuna species. Despite its economic importance, biological information is scarce with no associated management directives. In this study, using a population genomic approach resulted in a lack of panmixia of two genetic pools with different effective population sizes (east central-tropical Atlantic and northeast Atlantic-Mediterranean) and an intermixing zone in Atlantic Morocco. The absence of genetic heterogeneity between the locations in Atlantic - Mediterranean transitional zone adds new evidence that challenges the Strait of Gibraltar as a phylogeographic barrier for marine pelagic species. These results are proposed to the ICCAT Commission to establish management areas for this species, although they are not consistent with the recently adopted pelagic ecoregions. Finally, a panel of highly informative SNPs was developed for efficient and low-cost population assignment and the analysis of unresolved population structures.
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Affiliation(s)
- Judith Ollé-Vilanova
- Laboratori Ictiologia Genetica, Departament de Biologia, Universitat de Girona, 17003, Girona, Catalunya, Spain
| | - Ghailen Hajjej
- National Institute of Marine Science and Technology, Tunisia
| | - David Macias
- Centro Oceanográfico de Málaga. Instituto Espanol de Oceanografía (IEO-CSIC), Spain
| | - Sámar Saber
- Centro Oceanográfico de Málaga. Instituto Espanol de Oceanografía (IEO-CSIC), Spain
| | - Pedro G Lino
- Instituto Portugues Do Mar e da Atmosfera (IPMA), Avenida 5 de Outubro S/n, 8700-305, Olhão, Portugal
| | - Rubén Muñoz-Lechuga
- Instituto Portugues Do Mar e da Atmosfera (IPMA), Avenida 5 de Outubro S/n, 8700-305, Olhão, Portugal; Department of Biology, Faculty of Marine and Environmental Sciences, University of Cádiz, 11510, Puerto Real, Cádiz, Spain
| | | | | | | | - Rosa M Araguas
- Laboratori Ictiologia Genetica, Departament de Biologia, Universitat de Girona, 17003, Girona, Catalunya, Spain
| | - Núria Sanz
- Laboratori Ictiologia Genetica, Departament de Biologia, Universitat de Girona, 17003, Girona, Catalunya, Spain
| | - Jordi Vinas
- Laboratori Ictiologia Genetica, Departament de Biologia, Universitat de Girona, 17003, Girona, Catalunya, Spain.
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13
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Jeffery NW, Vercaemer B, Stanley RRE, Kess T, Dufresne F, Noisette F, O'Connor MI, Wong MC. Variation in genomic vulnerability to climate change across temperate populations of eelgrass ( Zostera marina). Evol Appl 2024; 17:e13671. [PMID: 38650965 PMCID: PMC11033490 DOI: 10.1111/eva.13671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 04/25/2024] Open
Abstract
A global decline in seagrass populations has led to renewed calls for their conservation as important providers of biogenic and foraging habitat, shoreline stabilization and carbon storage. Eelgrass (Zostera marina) occupies the largest geographic range among seagrass species spanning a commensurately broad spectrum of environmental conditions. In Canada, eelgrass is managed as a single phylogroup despite occurring across three oceans and a range of ocean temperatures and salinity gradients. Previous research has focused on applying relatively few markers to reveal population structure of eelgrass, whereas a whole-genome approach is warranted to investigate cryptic structure among populations inhabiting different ocean basins and localized environmental conditions. We used a pooled whole-genome re-sequencing approach to characterize population structure, gene flow and environmental associations of 23 eelgrass populations ranging from the Northeast United States to Atlantic, subarctic and Pacific Canada. We identified over 500,000 SNPs, which when mapped to a chromosome-level genome assembly revealed six broad clades of eelgrass across the study area, with pairwise F ST ranging from 0 among neighbouring populations to 0.54 between Pacific and Atlantic coasts. Genetic diversity was highest in the Pacific and lowest in the subarctic, consistent with colonization of the Arctic and Atlantic oceans from the Pacific less than 300 kya. Using redundancy analyses and two climate change projection scenarios, we found that subarctic populations are predicted to be potentially more vulnerable to climate change through genomic offset predictions. Conservation planning in Canada should thus ensure that representative populations from each identified clade are included within a national network so that latent genetic diversity is protected, and gene flow is maintained. Northern populations, in particular, may require additional mitigation measures given their potential susceptibility to a rapidly changing climate.
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Affiliation(s)
- Nicholas W. Jeffery
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNova ScotiaCanada
| | - Benedikte Vercaemer
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNova ScotiaCanada
| | - Ryan R. E. Stanley
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNova ScotiaCanada
| | - Tony Kess
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries CentreSt. John'sNewfoundland and LabradorCanada
| | - France Dufresne
- Département de BiologieUniversité du Québec à RimouskiRimouskiQuebecCanada
| | - Fanny Noisette
- Institut des Sciences de la mer, Université du Québec à RimouskiRimouskiQuebecCanada
| | - Mary I. O'Connor
- Department of Zoology and Biodiversity Research CentreUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Melisa C. Wong
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNova ScotiaCanada
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14
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Maxwell LM, Clark JD, Walsh J, Conway M, Olsen BJ, Kovach AI. Ecological characteristics explain neutral genetic variation of three coastal sparrow species. Mol Ecol 2024; 33:e17316. [PMID: 38481075 DOI: 10.1111/mec.17316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 02/15/2024] [Accepted: 02/23/2024] [Indexed: 04/09/2024]
Abstract
Eco-phylogeographic approaches to comparative population genetic analyses allow for the inclusion of intrinsic influences as drivers of intraspecific genetic structure. This insight into microevolutionary processes, including changes within a species or lineage, provides better mechanistic understanding of species-specific interactions and enables predictions of evolutionary responses to environmental change. In this study, we used single nucleotide polymorphisms (SNPs) identified from reduced representation sequencing to compare neutral population structure, isolation by distance (IBD), genetic diversity and effective population size (Ne) across three closely related and co-distributed saltmarsh sparrow species differing along a specialization gradient-Nelson's (Ammospiza nelsoni subvirgata), saltmarsh (A. caudacuta) and seaside sparrows (A. maritima maritima). Using an eco-phylogeographic lens within a conservation management context, we tested predictions about species' degree of evolutionary history and ecological specialization to tidal marshes, habitat, current distribution and population status on population genetic metrics. Population structure differed among the species consistent with their current distribution and habitat factors, rather than degree of ecological specialization: seaside sparrows were panmictic, saltmarsh sparrows showed hierarchical structure and Nelson's sparrows were differentiated into multiple, genetically distinct populations. Neutral population genetic theory and demographic/evolutionary history predicted patterns of genetic diversity and Ne rather than degree of ecological specialization. Patterns of population variation and evolutionary distinctiveness (Shapely metric) suggest different conservation measures for long-term persistence and evolutionary potential in each species. Our findings contribute to a broader understanding of the complex factors influencing genetic variation, beyond specialist-generalist status and support the role of an eco-phylogeographic approach in population and conservation genetics.
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Affiliation(s)
- Logan M Maxwell
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA
| | - Jonathan D Clark
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA
| | - Jennifer Walsh
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA
- Fuller Evolutionary Biology Program, Cornell Laboratory of Ornithology, Ithaca, New York, USA
| | - Meaghan Conway
- School of Biology and Ecology, University of Maine, Orono, Maine, USA
| | - Brian J Olsen
- School of Biology and Ecology, University of Maine, Orono, Maine, USA
| | - Adrienne I Kovach
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA
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15
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Gallinson DG, Kozakiewicz CP, Rautsaw RM, Beer MA, Ruiz-Aravena M, Comte S, Hamilton DG, Kerlin DH, McCallum HI, Hamede R, Jones ME, Storfer A, McMinds R, Margres MJ. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer. Proc Natl Acad Sci U S A 2024; 121:e2307780121. [PMID: 38466855 PMCID: PMC10962979 DOI: 10.1073/pnas.2307780121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 01/17/2024] [Indexed: 03/13/2024] Open
Abstract
Coevolution is common and frequently governs host-pathogen interaction outcomes. Phenotypes underlying these interactions often manifest as the combined products of the genomes of interacting species, yet traditional quantitative trait mapping approaches ignore these intergenomic interactions. Devil facial tumor disease (DFTD), an infectious cancer afflicting Tasmanian devils (Sarcophilus harrisii), has decimated devil populations due to universal host susceptibility and a fatality rate approaching 100%. Here, we used a recently developed joint genome-wide association study (i.e., co-GWAS) approach, 15 y of mark-recapture data, and 960 genomes to identify intergenomic signatures of coevolution between devils and DFTD. Using a traditional GWA approach, we found that both devil and DFTD genomes explained a substantial proportion of variance in how quickly susceptible devils became infected, although genomic architectures differed across devils and DFTD; the devil genome had fewer loci of large effect whereas the DFTD genome had a more polygenic architecture. Using a co-GWA approach, devil-DFTD intergenomic interactions explained ~3× more variation in how quickly susceptible devils became infected than either genome alone, and the top genotype-by-genotype interactions were significantly enriched for cancer genes and signatures of selection. A devil regulatory mutation was associated with differential expression of a candidate cancer gene and showed putative allele matching effects with two DFTD coding sequence variants. Our results highlight the need to account for intergenomic interactions when investigating host-pathogen (co)evolution and emphasize the importance of such interactions when considering devil management strategies.
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Affiliation(s)
- Dylan G. Gallinson
- Department of Integrative Biology, University of South Florida, Tampa, FL33620
- College of Public Health, University of South Florida, Tampa, FL33620
| | - Christopher P. Kozakiewicz
- School of Biological Sciences, Washington State University, Pullman, WA99163
- W.K. Kellogg Biological Station, Department of Integrative Biology, Michigan State University, Hickory Corners, MI49060
| | - Rhett M. Rautsaw
- Department of Integrative Biology, University of South Florida, Tampa, FL33620
- School of Biological Sciences, Washington State University, Pullman, WA99163
| | - Marc A. Beer
- School of Biological Sciences, Washington State University, Pullman, WA99163
| | - Manuel Ruiz-Aravena
- School of Natural Sciences, University of Tasmania, Hobart, TAS7001, Australia
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY14853
| | - Sebastien Comte
- School of Natural Sciences, University of Tasmania, Hobart, TAS7001, Australia
- New South Wales Department of Primary Industries, Vertebrate Pest Research Unit, Orange, NSW2800, Australia
| | - David G. Hamilton
- School of Natural Sciences, University of Tasmania, Hobart, TAS7001, Australia
| | - Douglas H. Kerlin
- Centre for Planetary Health and Food Security, Griffith University, Nathan, QLD4111, Australia
| | - Hamish I. McCallum
- Centre for Planetary Health and Food Security, Griffith University, Nathan, QLD4111, Australia
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, TAS7001, Australia
- CANECEV Centre de Recherches Ecologiques et Evolutives sur le Cancer, Montpellier34394, France
| | - Menna E. Jones
- School of Natural Sciences, University of Tasmania, Hobart, TAS7001, Australia
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, WA99163
| | - Ryan McMinds
- Department of Integrative Biology, University of South Florida, Tampa, FL33620
- College of Public Health, University of South Florida, Tampa, FL33620
| | - Mark J. Margres
- Department of Integrative Biology, University of South Florida, Tampa, FL33620
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16
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Mares-Mayagoitia JA, Lafarga-De la Cruz F, Micheli F, Cruz-Hernández P, de-Anda-Montañez JA, Hyde J, Hernández-Saavedra NY, Mejía-Ruíz P, De Jesús-Bonilla VS, Vargas-Peralta CE, Valenzuela-Quiñonez F. Seascape genomics of the pink abalone (Haliotis corrugata): An insight into a cross-border species in the northeast Pacific coast. J Hered 2024; 115:188-202. [PMID: 38158823 DOI: 10.1093/jhered/esad083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/29/2023] [Indexed: 01/03/2024] Open
Abstract
Seascape genomics gives insight into the geographic and environmental factors shaping local adaptations. It improves the understanding of the potential effects of climate change, which is relevant to provide the basis for the international management of fishery resources. The pink abalone (Haliotis corrugata) is distributed from California, United States to Baja California Sur, Mexico, exposed to a latitudinal environmental gradient in the California Current System. Management of the pink abalone contrasts between Mexico and the United States; Mexico has an active fishery organized in four administrative areas, while the United States has kept the fishery in permanent closure since 1996. However, the impact of environmental factors on genetic variation along the species distribution remains unknown, and understanding this relationship is crucial for effective spatial management strategies. This study aims to investigate the neutral and adaptive genomic structure of H. corrugata. A total of 203 samples from 13 locations were processed using ddRADseq, and covering the species' distribution. Overall, 2,231 neutral, nine potentially adaptive and three genomic-environmental association loci were detected. The neutral structure identified two groups: 1) California, United States and 2) Baja California Peninsula, México. In addition, the adaptive structure analysis also detected two groups with genetic divergence observed at Punta Eugenia. Notably, the seawater temperature significantly correlated with the northern group (temperate) and the southern (warmer) group. This study is a valuable foundation for future research and conservation initiatives, emphasizing the importance of considering neutral and adaptive genetic factors when developing management strategies for marine species.
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Affiliation(s)
| | - Fabiola Lafarga-De la Cruz
- Centro de Investigaciones Científicas y de Educación Superior de Ensenada, Ensenada, Baja California, Mexico
| | - Fiorenza Micheli
- Hopkins Marine Station, Oceans Department, Stanford University, Pacific Grove, CA, United States
| | - Pedro Cruz-Hernández
- Centro de Investigaciones Biológicas del Noroeste S.C., La Paz, Baja California Sur, Mexico
| | | | - John Hyde
- NOAA Fisheries, Southwest Fisheries Science Center, La Jolla, CA, United States
| | | | - Paulina Mejía-Ruíz
- Centro de Investigaciones Científicas y de Educación Superior de Ensenada, Ensenada, Baja California, Mexico
| | | | - Carmen E Vargas-Peralta
- Centro de Investigaciones Científicas y de Educación Superior de Ensenada, Ensenada, Baja California, Mexico
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17
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Judson JM, Hoekstra LA, Janzen FJ. Demographic history and genomic signatures of selection in a widespread vertebrate ectotherm. Mol Ecol 2024; 33:e17269. [PMID: 38234254 PMCID: PMC10922411 DOI: 10.1111/mec.17269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/20/2023] [Accepted: 01/08/2024] [Indexed: 01/19/2024]
Abstract
Environmental conditions vary greatly across large geographic ranges, and yet certain species inhabit entire continents. In such species, genomic sequencing can inform our understanding of colonization history and the impact of selection on the genome as populations experience diverse local environments. As ectothermic vertebrates are among the most vulnerable to environmental change, it is critical to understand the contributions of local adaptation to population survival. Widespread ectotherms offer an opportunity to explore how species can successfully inhabit such differing environments and how future climatic shifts will impact species' survival. In this study, we investigated the widespread painted turtle (Chrysemys picta) to assess population genomic structure, demographic history, and genomic signatures of selection in the western extent of the range. We found support for a substantial role of serial founder effects in shaping population genomic structure: demographic analysis and runs of homozygosity were consistent with bottlenecks of increasing severity from eastern to western populations during and following the Last Glacial Maximum, and edge populations were more strongly diverged and had less genetic diversity than those from the centre of the range. We also detected outlier loci, but allelic patterns in many loci could be explained by either genetic surfing or selection. While range expansion complicates the identification of loci under selection, we provide candidates for future study of local adaptation in a long-lived, widespread ectotherm that faces an uncertain future as the global climate continues to rapidly change.
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Affiliation(s)
- Jessica M. Judson
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
- Current Address: W. K. Kellogg Biological Station, Departments of Fisheries and Wildlife & Integrative Biology, Michigan State University, Hickory Corners, MI 49060, USA
| | - Luke A. Hoekstra
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
- Current Address: Department of Integrative Biology, Oklahoma State University, Stillwater, OK 74078, USA
| | - Fredric J. Janzen
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
- Current Address: W. K. Kellogg Biological Station, Departments of Fisheries and Wildlife & Integrative Biology, Michigan State University, Hickory Corners, MI 49060, USA
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18
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Bernardi G, Azzurro E, Bariche M, Jimenez C, Kalogirou S, Kleitou P. Invasion genomics of lionfish in the Mediterranean Sea. Ecol Evol 2024; 14:e11087. [PMID: 38450316 PMCID: PMC10915480 DOI: 10.1002/ece3.11087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/09/2024] [Accepted: 02/16/2024] [Indexed: 03/08/2024] Open
Abstract
The rate of biological invasions is steadily increasing, with major ecological and economic impacts accounting for billions of dollars in damage as a result. One spectacular example is the western Atlantic invasion by lionfishes. In the Mediterranean Sea, invasions from the Red Sea via the Suez Canal (termed Lessepsian invasions) comprise more than 100 fish species, including a recent invasion by lionfish. In light of the devastating effects of lionfish in the Caribbean Sea, understanding the dynamics of Mediterranean lionfish invasion is crucial. The Lessepsian lionfish invasion started in 2012, and rapidly spread to the central Mediterranean. Here, we used thousands of RAD seq genomic markers to study the population dynamics of this invasion. While we did not find a reduction in genetic diversity between source (Red Sea) and invasive (Mediterranean) populations (i.e., bottleneck effects), we found evidence of population structure within the invasive range in the Mediterranean Sea. We found that loci that are potentially under selection may play an important role in invasion success (in particular, genes involved in osmoregulation and fin spine sizes). Genomic approaches proved powerful in examining the ecological and evolutionary patterns of successful invaders and may be used as tools to understand and potentially mitigate future invasions.
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Affiliation(s)
- Giacomo Bernardi
- Department of Ecology and Evolutionary BiologyUniversity of California Santa CruzSanta CruzCaliforniaUSA
| | - Ernesto Azzurro
- CNR‐IRBIM, National Research CouncilInstitute of Biological Resources and Marine BiotechnologiesAnconaItaly
- Zoological Station A. DohrnNaplesItaly
| | - Michel Bariche
- Department of BiologyAmerican University of BeirutBeirutLebanon
| | - Carlos Jimenez
- Enalia Physis Environmental Research Centre (ENALIA)NicosiaCyprus
- The Cyprus InstituteEnergy Environment and Water Research CenterNicosiaCyprus
| | - Stefanos Kalogirou
- Hellenic Centre for Marine Research, Institute for Marine Biological Resources and Inland WatersHydrobiological Station of RhodesRhodesGreece
| | - Periklis Kleitou
- Marine & Environmental Research (MER) LabLimassolCyprus
- School of Biological and Marine SciencesUniversity of PlymouthPlymouthUK
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19
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Arpin KE, Schmidt DA, Sjodin BMF, Einfeldt AL, Galbreath K, Russello MA. Evaluating genotyping-in-thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non-invasive and archival samples. Ecol Evol 2024; 14:e10934. [PMID: 38333095 PMCID: PMC10850814 DOI: 10.1002/ece3.10934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/01/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Genetic tools for wildlife monitoring can provide valuable information on spatiotemporal population trends and connectivity, particularly in systems experiencing rapid environmental change. Multiplexed targeted amplicon sequencing techniques, such as genotyping-in-thousands by sequencing (GT-seq), can provide cost-effective approaches for collecting genetic data from low-quality and quantity DNA samples, making them potentially useful for long-term wildlife monitoring using non-invasive and archival samples. Here, we developed a GT-seq panel as a potential monitoring tool for the American pika (Ochotona princeps) and evaluated its performance when applied to traditional, non-invasive, and archival samples, respectively. Specifically, we optimized a GT-seq panel (307 single nucleotide polymorphisms (SNPs)) that included neutral, sex-associated, and putatively adaptive SNPs using contemporary tissue samples (n = 77) from the Northern Rocky Mountains lineage of American pikas. The panel demonstrated high genotyping success (94.7%), low genotyping error (0.001%), and excellent performance identifying individuals, sex, relatedness, and population structure. We subsequently applied the GT-seq panel to archival tissue (n = 17) and contemporary fecal pellet samples (n = 129) collected within the Canadian Rocky Mountains to evaluate its effectiveness. Although the panel demonstrated high efficacy with archival tissue samples (90.5% genotyping success, 0.0% genotyping error), this was not the case for the fecal pellet samples (79.7% genotyping success, 28.4% genotyping error) likely due to the exceptionally low quality/quantity of recovered DNA using the approaches implemented. Overall, our study reinforced GT-seq as an effective tool using contemporary and archival tissue samples, providing future opportunities for temporal applications using historical specimens. Our results further highlight the need for additional optimization of sample and genetic data collection techniques prior to broader-scale implementation of a non-invasive genetic monitoring tool for American pikas.
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Affiliation(s)
- Kate E. Arpin
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
| | - Danielle A. Schmidt
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
| | - Bryson M. F. Sjodin
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
| | | | - Kurt Galbreath
- Department of BiologyNorthern Michigan UniversityMarquetteMichiganUSA
| | - Michael A. Russello
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
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20
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Schiebelhut LM, Guillaume AS, Kuhn A, Schweizer RM, Armstrong EE, Beaumont MA, Byrne M, Cosart T, Hand BK, Howard L, Mussmann SM, Narum SR, Rasteiro R, Rivera-Colón AG, Saarman N, Sethuraman A, Taylor HR, Thomas GWC, Wellenreuther M, Luikart G. Genomics and conservation: Guidance from training to analyses and applications. Mol Ecol Resour 2024; 24:e13893. [PMID: 37966259 DOI: 10.1111/1755-0998.13893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 10/25/2023] [Accepted: 10/30/2023] [Indexed: 11/16/2023]
Abstract
Environmental change is intensifying the biodiversity crisis and threatening species across the tree of life. Conservation genomics can help inform conservation actions and slow biodiversity loss. However, more training, appropriate use of novel genomic methods and communication with managers are needed. Here, we review practical guidance to improve applied conservation genomics. We share insights aimed at ensuring effectiveness of conservation actions around three themes: (1) improving pedagogy and training in conservation genomics including for online global audiences, (2) conducting rigorous population genomic analyses properly considering theory, marker types and data interpretation and (3) facilitating communication and collaboration between managers and researchers. We aim to update students and professionals and expand their conservation toolkit with genomic principles and recent approaches for conserving and managing biodiversity. The biodiversity crisis is a global problem and, as such, requires international involvement, training, collaboration and frequent reviews of the literature and workshops as we do here.
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Affiliation(s)
- Lauren M Schiebelhut
- Life and Environmental Sciences, University of California, Merced, California, USA
| | - Annie S Guillaume
- Geospatial Molecular Epidemiology group (GEOME), Laboratory for Biological Geochemistry (LGB), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Arianna Kuhn
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
- Virginia Museum of Natural History, Martinsville, Virginia, USA
| | - Rena M Schweizer
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | | | - Mark A Beaumont
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Margaret Byrne
- Department of Biodiversity, Conservation and Attractions, Biodiversity and Conservation Science, Perth, Western Australia, Australia
| | - Ted Cosart
- Flathead Lake Biology Station, University of Montana, Missoula, Montana, USA
| | - Brian K Hand
- Flathead Lake Biological Station, University of Montana, Polson, Montana, USA
| | - Leif Howard
- Flathead Lake Biology Station, University of Montana, Missoula, Montana, USA
| | - Steven M Mussmann
- Southwestern Native Aquatic Resources and Recovery Center, U.S. Fish & Wildlife Service, Dexter, New Mexico, USA
| | - Shawn R Narum
- Hagerman Genetics Lab, University of Idaho, Hagerman, Idaho, USA
| | - Rita Rasteiro
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Angel G Rivera-Colón
- Department of Evolution, Ecology, and Behavior, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Norah Saarman
- Department of Biology and Ecology Center, Utah State University, Logan, Utah, USA
| | - Arun Sethuraman
- Department of Biology, San Diego State University, San Diego, California, USA
| | - Helen R Taylor
- Royal Zoological Society of Scotland, Edinburgh, Scotland
| | - Gregg W C Thomas
- Informatics Group, Harvard University, Cambridge, Massachusetts, USA
| | - Maren Wellenreuther
- Plant and Food Research, Nelson, New Zealand
- University of Auckland, Auckland, New Zealand
| | - Gordon Luikart
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
- Flathead Lake Biology Station, University of Montana, Missoula, Montana, USA
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21
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Frachon L, Schiestl FP. Rapid genomic evolution in Brassica rapa with bumblebee selection in experimental evolution. BMC Ecol Evol 2024; 24:7. [PMID: 38195402 PMCID: PMC10775529 DOI: 10.1186/s12862-023-02194-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/20/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Insect pollinators shape rapid phenotypic evolution of traits related to floral attractiveness and plant reproductive success. However, the underlying genomic changes remain largely unknown despite their importance in predicting adaptive responses to natural or to artificial selection. Based on a nine-generation experimental evolution study with fast cycling Brassica rapa plants adapting to bumblebees, we investigate the genomic evolution associated with the previously observed parallel phenotypic evolution. In this current evolve and resequencing (E&R) study, we conduct a genomic scan of the allele frequency changes along the genome in bumblebee-pollinated and hand-pollinated plants and perform a genomic principal component analysis (PCA). RESULTS We highlight rapid genomic evolution associated with the observed phenotypic evolution mediated by bumblebees. Controlling for genetic drift, we observe significant changes in allelic frequencies at multiple loci. However, this pattern differs according to the replicate of bumblebee-pollinated plants, suggesting putative non-parallel genomic evolution. Finally, our study underlines an increase in genomic variance implying the putative involvement of multiple loci in short-term pollinator adaptation. CONCLUSIONS Overall, our study enhances our understanding of the complex interactions between pollinator and plants, providing a stepping stone towards unravelling the genetic basis of plant genomic adaptation to biotic factors in the environment.
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Affiliation(s)
- Léa Frachon
- Department of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland.
| | - Florian P Schiestl
- Department of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland
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22
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Blondeau Da Silva S, Mwacharo JM, Li M, Ahbara A, Muchadeyi FC, Dzomba EF, Lenstra JA, Da Silva A. IBD sharing patterns as intra-breed admixture indicators in small ruminants. Heredity (Edinb) 2024; 132:30-42. [PMID: 37919398 PMCID: PMC10799084 DOI: 10.1038/s41437-023-00658-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023] Open
Abstract
In this study, we investigated how IBD patterns shared between individuals of the same breed could be informative of its admixture level, with the underlying assumption that the most admixed breeds, i.e. the least genetically isolated, should have a much more fragmented genome. We considered 111 goat breeds (i.e. 2501 individuals) and 156 sheep breeds (i.e. 3304 individuals) from Europe, Africa and Asia, for which beadchip SNP genotypes had been performed. We inferred the breed's level of admixture from: (i) the proportion of the genome shared by breed's members (i.e. "genetic integrity level" assessed from ADMIXTURE software analyses), and (ii) the "AV index" (calculated from Reynolds' genetic distances), used as a proxy for the "genetic distinctiveness". In both goat and sheep datasets, the statistical analyses (comparison of means, Spearman correlations, LM and GAM models) revealed that the most genetically isolated breeds, also showed IBD profiles made up of more shared IBD segments, which were also longer. These results pave the way for further research that could lead to the development of admixture indicators, based on the characterization of intra-breed shared IBD segments, particularly effective as they would be independent of the knowledge of the whole genetic landscape in which the breeds evolve. Finally, by highlighting the fragmentation experienced by the genomes subjected to crossbreeding carried out over the last few generations, the study reminds us of the need to preserve local breeds and the integrity of their adaptive architectures that have been shaped over the centuries.
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Affiliation(s)
| | - Joram M Mwacharo
- Animal and Veterinary Sciences, Scotlands Rural College (SRUC) and Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute Building, EH25 9RG, Midlothian, UK
- Small Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5689, Addis Ababa, Ethiopia
| | - Menghua Li
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Abulgasim Ahbara
- Animal and Veterinary Sciences, Scotlands Rural College (SRUC) and Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute Building, EH25 9RG, Midlothian, UK
- Department of Zoology, Faculty of Sciences, Misurata University, Misurata, Libya
| | | | - Edgar Farai Dzomba
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Anne Da Silva
- Faculté des Sciences et Techniques de Limoges, E2LIM, 87000, Limoges, France.
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23
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Privé F, Albiñana C, Arbel J, Pasaniuc B, Vilhjálmsson BJ. Inferring disease architecture and predictive ability with LDpred2-auto. Am J Hum Genet 2023; 110:2042-2055. [PMID: 37944514 PMCID: PMC10716363 DOI: 10.1016/j.ajhg.2023.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/15/2023] [Accepted: 10/17/2023] [Indexed: 11/12/2023] Open
Abstract
LDpred2 is a widely used Bayesian method for building polygenic scores (PGSs). LDpred2-auto can infer the two parameters from the LDpred model, the SNP heritability h2 and polygenicity p, so that it does not require an additional validation dataset to choose best-performing parameters. The main aim of this paper is to properly validate the use of LDpred2-auto for inferring multiple genetic parameters. Here, we present a new version of LDpred2-auto that adds an optional third parameter α to its model, for modeling negative selection. We then validate the inference of these three parameters (or two, when using the previous model). We also show that LDpred2-auto provides per-variant probabilities of being causal that are well calibrated and can therefore be used for fine-mapping purposes. We also introduce a formula to infer the out-of-sample predictive performance r2 of the resulting PGS directly from the Gibbs sampler of LDpred2-auto. Finally, we extend the set of HapMap3 variants recommended to use with LDpred2 with 37% more variants to improve the coverage of this set, and we show that this new set of variants captures 12% more heritability and provides 6% more predictive performance, on average, in UK Biobank analyses.
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Affiliation(s)
- Florian Privé
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
| | - Clara Albiñana
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Julyan Arbel
- University Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France
| | - Bogdan Pasaniuc
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Bjarni J Vilhjálmsson
- National Centre for Register-based Research, Aarhus University, Aarhus, Denmark; Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark; Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute, Cambridge, MA, USA
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24
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Feng X, Diao S, Liu Y, Xu Z, Li G, Ma Y, Su Z, Liu X, Li J, Zhang Z. Exploring the mechanism of artificial selection signature in Chinese indigenous pigs by leveraging multiple bioinformatics database tools. BMC Genomics 2023; 24:743. [PMID: 38053015 DOI: 10.1186/s12864-023-09848-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Chinese indigenous pigs in Yunnan exhibit considerable phenotypic diversity, but their population structure and the biological interpretation of signatures of artificial selection require further investigation. To uncover population genetic diversity, migration events, and artificial selection signatures in Chinese domestic pigs, we sampled 111 Yunnan pigs from four breeds in Yunnan which is considered to be one of the centres of livestock domestication in China, and genotyped them using Illumina Porcine SNP60K BeadChip. We then leveraged multiple bioinformatics database tools to further investigate the signatures and associated complex traits. RESULTS Population structure and migration analyses showed that Diannanxiaoer pigs had different genetic backgrounds from other Yunnan pigs, and Gaoligongshan may undergone the migration events from Baoshan and Saba pigs. Intriguingly, we identified a possible common target of sharing artificial selection on a 265.09 kb region on chromosome 5 in Yunnan indigenous pigs, and the genes on this region were associated with cardiovascular and immune systems. We also detected several candidate genes correlated with dietary adaptation, body size (e.g., PASCIN1, GRM4, ITPR2), and reproductive performance. In addition, the breed-sharing gene MMP16 was identified to be a human-mediated gene. Multiple lines of evidence at the mammalian genome, transcriptome, and phenome levels further supported the evidence for the causality between MMP16 variants and the metabolic diseases, brain development, and cartilage tissues in Chinese pigs. Our results suggested that the suppression of MMP16 would directly lead to inactivity and insensitivity of neuronal activity and skeletal development in Chinese indigenous pigs. CONCLUSION In this study, the population genetic analyses and identification of artificial selection signatures of Yunnan indigenous pigs help to build an understanding of the effect of human-mediated selection mechanisms on phenotypic traits in Chinese indigenous pigs. Further studies are needed to fully characterize the process of human-mediated genes and biological mechanisms.
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Affiliation(s)
- Xueyan Feng
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Shuqi Diao
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yuqiang Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhiting Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Guangzhen Li
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Ye Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhanqin Su
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Jiaqi Li
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
| | - Zhe Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
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25
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Ulmo‐Diaz G, Engman A, McLarney WO, Lasso Alcalá CA, Hendrickson D, Bezault E, Feunteun E, Prats‐Léon FL, Wiener J, Maxwell R, Mohammed RS, Kwak TJ, Benchetrit J, Bougas B, Babin C, Normandeau E, Djambazian HHV, Chen S, Reiling SJ, Ragoussis J, Bernatchez L. Panmixia in the American eel extends to its tropical range of distribution: Biological implications and policymaking challenges. Evol Appl 2023; 16:1872-1888. [PMID: 38143897 PMCID: PMC10739100 DOI: 10.1111/eva.13599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/25/2023] [Accepted: 09/06/2023] [Indexed: 12/26/2023] Open
Abstract
The American eel (Anguilla rostrata) has long been regarded as a panmictic fish and has been confirmed as such in the northern part of its range. In this paper, we tested for the first time whether panmixia extends to the tropical range of the species. To do so, we first assembled a reference genome (975 Mbp, 19 chromosomes) combining long (PacBio and Nanopore and short (Illumina paired-end) reads technologies to support both this study and future research. To test for population structure, we estimated genotype likelihoods from low-coverage whole-genome sequencing of 460 American eels, collected at 21 sampling sites (in seven geographic regions) ranging from Canada to Trinidad and Tobago. We estimated genetic distance between regions, performed ADMIXTURE-like clustering analysis and multivariate analysis, and found no evidence of population structure, thus confirming that panmixia extends to the tropical range of the species. In addition, two genomic regions with putative inversions were observed, both geographically widespread and present at similar frequencies in all regions. We discuss the implications of lack of genetic population structure for the species. Our results are key for the future genomic research in the American eel and the implementation of conservation measures throughout its geographic range. Additionally, our results can be applied to fisheries management and aquaculture of the species.
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Affiliation(s)
- Gabriela Ulmo‐Diaz
- Département de BiologieInstitut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecCanada
| | - Augustin Engman
- University of Tennessee Institute of Agriculture, School of Natural ResourcesKnoxvilleTennesseeUSA
| | | | | | - Dean Hendrickson
- Department of Integrative Biology and Biodiversity CollectionsUniversity of Texas at AustinAustinTexasUSA
| | - Etienne Bezault
- UMR 8067 BOREA, Biologie Organismes Écosystèmes Aquatiques (MNHN, CNRS, SU, IRD, UCN, UA)Université des AntillesPointe‐à‐PitreGuadeloupe
- Caribaea Initiative, Département de BiologieUniversité Des Antilles‐Campus de FouillolePointe‐à‐PitreGuadeloupeFrance
| | - Eric Feunteun
- UMR 7208 BOREABiologie Organismes Écosystèmes Aquatiques (MNHN, CNRS, SU,IRD, UCN, UA)Station Marine de DinardRennesFrance
- EPHE‐PSLCGEL (Centre de Géoécologie Littorale)DinardFrance
| | | | - Jean Wiener
- Fondation pour la Protection de la Biodiversité Marine (FoProBiM)CaracolHaiti
| | - Robert Maxwell
- Inland Fisheries SectionLouisiana Department of Wildlife and FisheriesLouisianaUSA
| | - Ryan S. Mohammed
- The University of the West Indies (UWI)St. AugustineTrinidad and Tobago
- Present address:
Department of Biological SciencesAuburn UniversityAuburnAlabamaUSA
| | - Thomas J. Kwak
- US Geological SurveyNorth Carolina Cooperative Fish and Wildlife Research UnitDepartment of Applied EcologyNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | | | - Bérénice Bougas
- Département de BiologieInstitut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecCanada
| | - Charles Babin
- Département de BiologieInstitut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecCanada
| | - Eric Normandeau
- Département de BiologieInstitut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecCanada
| | - Haig H. V. Djambazian
- McGIll Genome Centre, Department of Human GeneticsVictor Phillip Dahdaleh Institute of Genomic MedicineMcGill UniversityMontrealQuebecCanada
| | - Shu‐Huang Chen
- McGIll Genome Centre, Department of Human GeneticsVictor Phillip Dahdaleh Institute of Genomic MedicineMcGill UniversityMontrealQuebecCanada
| | - Sarah J. Reiling
- McGIll Genome Centre, Department of Human GeneticsVictor Phillip Dahdaleh Institute of Genomic MedicineMcGill UniversityMontrealQuebecCanada
| | - Jiannis Ragoussis
- McGIll Genome Centre, Department of Human GeneticsVictor Phillip Dahdaleh Institute of Genomic MedicineMcGill UniversityMontrealQuebecCanada
| | - Louis Bernatchez
- Département de BiologieInstitut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecCanada
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26
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Piatkowski B, Weston DJ, Aguero B, Duffy A, Imwattana K, Healey AL, Schmutz J, Shaw AJ. Divergent selection and climate adaptation fuel genomic differentiation between sister species of Sphagnum (peat moss). ANNALS OF BOTANY 2023; 132:499-512. [PMID: 37478307 PMCID: PMC10666999 DOI: 10.1093/aob/mcad104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/24/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND AND AIMS New plant species can evolve through the reinforcement of reproductive isolation via local adaptation along habitat gradients. Peat mosses (Sphagnaceae) are an emerging model system for the study of evolutionary genomics and have well-documented niche differentiation among species. Recent molecular studies have demonstrated that the globally distributed species Sphagnum magellanicum is a complex of morphologically cryptic lineages that are phylogenetically and ecologically distinct. Here, we describe the architecture of genomic differentiation between two sister species in this complex known from eastern North America: the northern S. diabolicum and the largely southern S. magniae. METHODS We sampled plant populations from across a latitudinal gradient in eastern North America and performed whole genome and restriction-site associated DNA sequencing. These sequencing data were then analyzed computationally. KEY RESULTS Using sliding-window population genetic analyses we find that differentiation is concentrated within 'islands' of the genome spanning up to 400 kb that are characterized by elevated genetic divergence, suppressed recombination, reduced nucleotide diversity and increased rates of non-synonymous substitution. Sequence variants that are significantly associated with genetic structure and bioclimatic variables occur within genes that have functional enrichment for biological processes including abiotic stress response, photoperiodism and hormone-mediated signalling. Demographic modelling demonstrates that these two species diverged no more than 225 000 generations ago with secondary contact occurring where their ranges overlap. CONCLUSIONS We suggest that this heterogeneity of genomic differentiation is a result of linked selection and reflects the role of local adaptation to contrasting climatic zones in driving speciation. This research provides insight into the process of speciation in a group of ecologically important plants and strengthens our predictive understanding of how plant populations will respond as Earth's climate rapidly changes.
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Affiliation(s)
- Bryan Piatkowski
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - David J Weston
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Blanka Aguero
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Aaron Duffy
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Karn Imwattana
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Adam L Healey
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - A Jonathan Shaw
- Department of Biology, Duke University, Durham, NC 27708, USA
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27
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Sertse D, Haile JK, Sari E, Klymiuk V, N'Diaye A, Pozniak CJ, Cloutier S, Kagale S. Genome scans capture key adaptation and historical hybridization signatures in tetraploid wheat. THE PLANT GENOME 2023:e20410. [PMID: 37974527 DOI: 10.1002/tpg2.20410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/16/2023] [Accepted: 10/20/2023] [Indexed: 11/19/2023]
Abstract
Tetraploid wheats (Triticum turgidum L.), including durum wheat (T. turgidum ssp. durum (Desf.) Husn.), are important crops with high nutritional and cultural values. However, their production is constrained by sensitivity to environmental conditions. In search of adaptive genetic signatures tracing historical selection and hybridization events, we performed genome scans on two datasets: (1) Durum Global Diversity Panel comprising a total of 442 tetraploid wheat and wild progenitor accessions including durum landraces (n = 286), domesticated emmer (T. turgidum ssp. dicoccum (Schrank) Thell.; n = 103) and wild emmer (T. turgidum ssp. dicoccoides (Korn. ex Asch. & Graebn.) Thell.; n = 53) wheats genotyped using the 90K single nucleotide polymorphism (SNP) array, and (2) a second dataset comprising a total 121 accessions of nine T. turgidum subspecies including wild emmer genotyped with >100 M SNPs from whole-genome resequencing. The genome scan on the first dataset detected six outlier loci on chromosomes 1A, 1B, 3A (n = 2), 6A, and 7A. These loci harbored important genes for adaptation to abiotic stresses, phenological responses, such as seed dormancy, circadian clock, flowering time, and key yield-related traits, including pleiotropic genes, such as HAT1, KUODA1, CBL1, and ZFN1. The scan on the second dataset captured a highly differentiated region on chromosome 2B that shows significant differentiation between two groups: one group consists of Georgian (T. turgidum ssp. paleocolchicum A. Love & D. Love) and Persian (T. turgidum ssp. carthlicum (Nevski) A. Love & D. Love) wheat accessions, while the other group comprises all the remaining tetraploids including wild emmer. This is consistent with a previously reported introgression in this genomic region from T. timopheevii Zhuk. which naturally cohabit in the Georgian and neighboring areas. This region harbored several adaptive genes, including the thermomorphogenesis gene PIF4, which confers temperature-resilient disease resistance and regulates other biological processes. Genome scans can be used to fast-track germplasm housed in gene banks and in situ; which helps to identify environmentally resilient accessions for breeding and/or to prioritize them for conservation.
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Affiliation(s)
- Demissew Sertse
- Aquatic and Crop Resource Development, National Research Council Canada, Saskatoon, Saskatchewan, Canada
- Department of Plant Science, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jemanesh K Haile
- Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
- Canola Council of Canada, Crop Production and Innovation, Saskatoon, SK, Canada
| | - Ehsan Sari
- Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
| | - Valentyna Klymiuk
- Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Amidou N'Diaye
- Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Curtis J Pozniak
- Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada
| | - Sateesh Kagale
- Aquatic and Crop Resource Development, National Research Council Canada, Saskatoon, Saskatchewan, Canada
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28
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Sloan NS, Kennington WJ, Simmons LW. Divergence in the internal genital morphology of females and correlated divergence in male intromittent structures among populations of a millipede. Evolution 2023; 77:2456-2471. [PMID: 37658784 DOI: 10.1093/evolut/qpad157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/18/2023] [Accepted: 08/30/2023] [Indexed: 09/05/2023]
Abstract
Our understanding of genital evolution comes largely from studies of male genitalia. Females have received far less attention because of the difficulties inherent in quantifying the shapes of their internal genital structures. Here we combine advances in micro-computed tomography with a new landmark free method of quantifying three-dimensional trait shape, to document patterns of divergence in female genital shape, and the correlated divergence of male genitalia among populations of the millipede Antichiropus variabilis. We used single-nucleotide polymorphisms to estimate levels of neutral genetic divergence among seven populations of millipede. Genetic divergence was high and correlated with geographic distance. Comparing phenotypic divergence in genital shape to neutral genetic divergence, we found that genital shape for both females and males has diverged more than would be expected from random drift, consistent with a pattern of directional selection. While there was significant covariation between female and male genital shape across populations, the magnitude of divergence in genital shape between the sexes was not correlated. Our results demonstrate the utility of using three-dimensional scanning technologies to examine female genital traits and add to a small but growing number of studies showing that like male genitalia, female genitalia can be under strong directional selection.
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Affiliation(s)
- Nadia S Sloan
- Centre for Evolutionary Biology, School of Biological Sciences (M092), The University of Western Australia, Crawley, WA, Australia
| | - W Jason Kennington
- Centre for Evolutionary Biology, School of Biological Sciences (M092), The University of Western Australia, Crawley, WA, Australia
| | - Leigh W Simmons
- Centre for Evolutionary Biology, School of Biological Sciences (M092), The University of Western Australia, Crawley, WA, Australia
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29
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Babik W, Dudek K, Marszałek M, Palomar G, Antunes B, Sniegula S. The genomic response to urbanization in the damselfly Ischnura elegans. Evol Appl 2023; 16:1805-1818. [PMID: 38029064 PMCID: PMC10681423 DOI: 10.1111/eva.13603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/19/2023] [Indexed: 12/01/2023] Open
Abstract
The complex and rapid environmental changes brought about by urbanization pose significant challenges to organisms. The multifaceted effects of urbanization often make it difficult to define and pinpoint the very nature of adaptive urban phenotypes. In such situations, scanning genomes for regions differentiated between urban and non-urban populations may be an attractive approach. Here, we investigated the genomic signatures of adaptation to urbanization in the damselfly Ischnura elegans sampled from 31 rural and urban localities in three geographic regions: southern and northern Poland, and southern Sweden. Genome-wide variation was assessed using more than 370,000 single nucleotide polymorphisms (SNPs) genotyped by ddRADseq. Associations between SNPs and the level of urbanization were tested using two genetic environment association methods: Latent Factors Mixed Models and BayPass. While we found numerous candidate SNPs and a highly significant overlap between candidates identified by the two methods within the geographic regions, there was a distinctive lack of repeatability between the geographic regions both at the level of individual SNPs and of genomic regions. However, we found "synapse organization" at the top of the functional categories enriched among the genes located in the proximity of the candidate urbanization SNPs. Interestingly, the overall significance of "synapse organization" was built up by the accretion of different genes associated with candidate SNPs in different geographic regions. This finding is consistent with the highly polygenic nature of adaptation, where the response may be achieved through a subtle adjustment of allele frequencies in different genes that contribute to adaptive phenotypes. Taken together, our results point to a polygenic adaptive response in the nervous system, specifically implicating genes involved in synapse organization, which mirrors the findings from several genomic and behavioral studies of adaptation to urbanization in other taxa.
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Affiliation(s)
- W. Babik
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - K. Dudek
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - M. Marszałek
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - G. Palomar
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
- Department of Genetics, Physiology and Microbiology, Faculty of Biological SciencesComplutense University of MadridMadridSpain
| | - B. Antunes
- Faculty of Biology, Institute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - S. Sniegula
- Department of Ecosystem Conservation, Institute of Nature ConservationPolish Academy of SciencesKrakówPoland
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30
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Wang TR, Meng HH, Wang N, Zheng SS, Jiang Y, Lin DQ, Song YG, Kozlowski G. Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera. ANNALS OF BOTANY 2023; 132:241-254. [PMID: 37409981 PMCID: PMC10583204 DOI: 10.1093/aob/mcad083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/04/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND AND AIMS Understanding adaptive genetic variation and whether it can keep pace with predicted future climate change is critical in assessing the genetic vulnerability of species and developing conservation management strategies. The lack of information on adaptive genetic variation in relict species carrying abundant genetic resources hinders the assessment of genetic vulnerability. Using a landscape genomics approach, this study aimed to determine how adaptive genetic variation shapes population divergence and to predict the adaptive potential of Pterocarya macroptera (a vulnerable relict species in China) under future climate scenarios. METHODS We applied restriction site-associated DNA sequencing (RAD-seq) to obtain 8244 single-nucleotide polymorphisms (SNPs) from 160 individuals across 28 populations. We examined the pattern of genetic diversity and divergence, and then identified outliers by genetic differentiation (FST) and genotype-environment association (GEA) methods. We further dissected the effect of geographical/environmental gradients on genetic variation. Finally, we predicted genetic vulnerability and adaptive risk under future climate scenarios. KEY RESULTS We identified three genetic lineages within P. macroptera: the Qinling-Daba-Tianmu Mountains (QDT), Western Sichuan (WS) and Northwest Yunnan (NWY) lineages, which showed significant signals of isolation by distance (IBD) and isolation by environment (IBE). IBD and IBE explained 3.7-5.7 and 8.6-12.8 % of the genetic structure, respectively. The identified GEA SNP-related genes were involved in chemical defence and gene regulation and may exhibit higher genetic variation to adapt to the environment. Gradient forest analysis revealed that the genetic variation was mainly shaped by temperature-related variables, indicating its adaptation to local thermal environments. A limited adaptive potential was suggested by the high levels of genetic vulnerability in marginal populations. CONCLUSIONS Environmental gradient mainly shaped the population differentiation of P. macroptera. Marginal populations may be at high risk of extinction, and thus proactive management measures, such as assisted gene flow, are required to ensure the survival of these populations.
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Affiliation(s)
- Tian-Rui Wang
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Hong-Hu Meng
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China
| | - Nian Wang
- State Forestry and Grassland Administration Key Laboratory of Silviculture in Downstream Areas of the Yellow River, College of Forestry, Shandong Agricultural University, Tai’an, 271018, China
| | - Si-Si Zheng
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Yun Jiang
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Duo-Qing Lin
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Yi-Gang Song
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
- Department of Biology and Botanic Garden, University of Fribourg, Fribourg, CH-1700, Switzerland
| | - Gregor Kozlowski
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
- Department of Biology and Botanic Garden, University of Fribourg, Fribourg, CH-1700, Switzerland
- Natural History Museum Fribourg, Fribourg, CH-1700, Switzerland
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31
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Vera M, Wilmes SB, Maroso F, Hermida M, Blanco A, Casanova A, Iglesias D, Cao A, Culloty SC, Mahony K, Orvain F, Bouza C, Robins PE, Malham SK, Lynch S, Villalba A, Martínez P. Heterogeneous microgeographic genetic structure of the common cockle (Cerastoderma edule) in the Northeast Atlantic Ocean: biogeographic barriers and environmental factors. Heredity (Edinb) 2023; 131:292-305. [PMID: 37596415 PMCID: PMC10539317 DOI: 10.1038/s41437-023-00646-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/20/2023] Open
Abstract
Knowledge of genetic structure at the finest level is essential for the conservation of genetic resources. Despite no visible barriers limiting gene flow, significant genetic structure has been shown in marine species. The common cockle (Cerastoderma edule) is a bivalve of great commercial and ecological value inhabiting the Northeast Atlantic Ocean. Previous population genomics studies demonstrated significant structure both across the Northeast Atlantic, but also within small geographic areas, highlighting the need to investigate fine-scale structuring. Here, we analysed two geographic areas that could represent opposite models of structure for the species: (1) the SW British Isles region, highly fragmented due to biogeographic barriers, and (2) Galicia (NW Spain), a putative homogeneous region. A total of 9250 SNPs genotyped by 2b-RAD on 599 individuals from 22 natural beds were used for the analysis. The entire SNP dataset mostly confirmed previous observations related to genetic diversity and differentiation; however, neutral and divergent SNP outlier datasets enabled disentangling physical barriers from abiotic environmental factors structuring both regions. While Galicia showed a homogeneous structure, the SW British Isles region was split into four reliable genetic regions related to oceanographic features and abiotic factors, such as sea surface salinity and temperature. The information gathered supports specific management policies of cockle resources in SW British and Galician regions also considering their particular socio-economic characteristics; further, these new data will be added to those recently reported in the Northeast Atlantic to define sustainable management actions across the whole distribution range of the species.
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Affiliation(s)
- Manuel Vera
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain.
| | - Sophie B Wilmes
- School of Ocean Sciences, Marine Centre Wales, Bangor University, Menai Bridge, UK
| | - Francesco Maroso
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain
| | - Miguel Hermida
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain
| | - Andrés Blanco
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain
| | - Adrián Casanova
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain
| | - David Iglesias
- Centro de Investigacións Mariñas, Consellería do Mar, Xunta de Galicia, 36620, Vilanova de Arousa, Spain
| | - Asunción Cao
- Centro de Investigacións Mariñas, Consellería do Mar, Xunta de Galicia, 36620, Vilanova de Arousa, Spain
| | - Sarah C Culloty
- School of Biological, Earth and Environmental Sciences/Aquaculture and Fisheries Development Centre, University College Cork, North Mall, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
- MaREI Centre, Environmental Research Institute, University College Cork, Cork, Ireland
| | - Kate Mahony
- School of Biological, Earth and Environmental Sciences/Aquaculture and Fisheries Development Centre, University College Cork, North Mall, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
| | - Francis Orvain
- UNICAEN - UMR BOREA "Biologie des ORganismes et Ecosystèmes Aquatiques" MNHN, UPMC, UCBN, CNRS-7208, IRD-207, University of Caen, Caen, France
| | - Carmen Bouza
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain
| | - Peter E Robins
- School of Ocean Sciences, Marine Centre Wales, Bangor University, Menai Bridge, UK
| | - Shelagh K Malham
- School of Ocean Sciences, Marine Centre Wales, Bangor University, Menai Bridge, UK
| | - Sharon Lynch
- School of Biological, Earth and Environmental Sciences/Aquaculture and Fisheries Development Centre, University College Cork, North Mall, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
| | - Antonio Villalba
- Centro de Investigacións Mariñas, Consellería do Mar, Xunta de Galicia, 36620, Vilanova de Arousa, Spain
- Departamento de Ciencias de la Vida, Universidad de Alcalá, 28871, Alcalá de Henares, Spain
- Research Centre for Experimental Marine Biology and Biotechnology (PIE), University of the Basque Country (UPV/EHU), 48620, Plentzia, Basque Country, Spain
| | - Paulino Martínez
- Department of Zoology, Genetics and Physics Anthropology, ACUIGEN Group, Faculty of Veterinary, Campus Terra, University of Santiago de Compostela, 27002, Lugo, Spain.
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Bazakos C, Alexiou KG, Ramos-Onsins S, Koubouris G, Tourvas N, Xanthopoulou A, Mellidou I, Moysiadis T, Vourlaki IT, Metzidakis I, Sergentani C, Manolikaki I, Michailidis M, Pistikoudi A, Polidoros A, Kostelenos G, Aravanopoulos F, Molassiotis A, Ganopoulos I. Whole genome scanning of a Mediterranean basin hotspot collection provides new insights into olive tree biodiversity and biology. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 116:303-319. [PMID: 37164361 DOI: 10.1111/tpj.16270] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/29/2023] [Accepted: 04/29/2023] [Indexed: 05/12/2023]
Abstract
Olive tree (Olea europaea L. subsp. europaea var. europaea) is one of the most important species of the Mediterranean region and one of the most ancient species domesticated. The availability of whole genome assemblies and annotations of olive tree cultivars and oleaster (O. europaea subsp. europaea var. sylvestris) has contributed to a better understanding of genetic and genomic differences between olive tree cultivars. However, compared to other plant species there is still a lack of genomic resources for olive tree populations that span the entire Mediterranean region. In the present study we developed the most complete genomic variation map and the most comprehensive catalog/resource of molecular variation to date for 89 olive tree genotypes originating from the entire Mediterranean basin, revealing the genetic diversity of this commercially significant crop tree and explaining the divergence/similarity among different variants. Additionally, the monumental ancient tree 'Throuba Naxos' was studied to characterize the potential origin or routes of olive tree domestication. Several candidate genes known to be associated with key agronomic traits, including olive oil quality and fruit yield, were uncovered by a selective sweep scan to be under selection pressure on all olive tree chromosomes. To further exploit the genomic and phenotypic resources obtained from the current work, genome-wide association analyses were performed for 23 morphological and two agronomic traits. Significant associations were detected for eight traits that provide valuable candidates for fruit tree breeding and for deeper understanding of olive tree biology.
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Affiliation(s)
- Christos Bazakos
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
- Joint Laboratory of Horticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Konstantinos G Alexiou
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | - Sebastián Ramos-Onsins
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | - Georgios Koubouris
- Institute of Olive Tree, Subtropical Crops and Viticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Chania, 73134, Greece
| | - Nikolaos Tourvas
- Laboratory of Forest Genetics, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Aliki Xanthopoulou
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
- Joint Laboratory of Horticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
| | - Ifigeneia Mellidou
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
- Joint Laboratory of Horticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
| | - Theodoros Moysiadis
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
- Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Nicosia, 2417, Cyprus
| | - Ioanna-Theoni Vourlaki
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries, Barcelona, Spain
| | - Ioannis Metzidakis
- Institute of Olive Tree, Subtropical Crops and Viticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Chania, 73134, Greece
| | - Chrysi Sergentani
- Institute of Olive Tree, Subtropical Crops and Viticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Chania, 73134, Greece
| | - Ioanna Manolikaki
- Institute of Olive Tree, Subtropical Crops and Viticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Chania, 73134, Greece
| | - Michail Michailidis
- Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, Thermi, 57001, Thessaloniki, Greece
| | - Adamantia Pistikoudi
- Laboratory of Genetics and Plant Breeding, School of Agriculture, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Alexios Polidoros
- Laboratory of Genetics and Plant Breeding, School of Agriculture, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | | | - Filippos Aravanopoulos
- Laboratory of Forest Genetics, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Athanassios Molassiotis
- Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, Thermi, 57001, Thessaloniki, Greece
| | - Ioannis Ganopoulos
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
- Joint Laboratory of Horticulture, Hellenic Agricultural Organization (ELGO) DIMITRA, Thermi, 57001, Thessaloniki, Greece
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33
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Maduna SN, Jónsdóttir ÓDB, Imsland AKD, Gíslason D, Reynolds P, Kapari L, Hangstad TA, Meier K, Hagen SB. Genomic Signatures of Local Adaptation under High Gene Flow in Lumpfish-Implications for Broodstock Provenance Sourcing and Larval Production. Genes (Basel) 2023; 14:1870. [PMID: 37895225 PMCID: PMC10606024 DOI: 10.3390/genes14101870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/20/2023] [Accepted: 09/23/2023] [Indexed: 10/29/2023] Open
Abstract
Aquaculture of the lumpfish (Cyclopterus lumpus L.) has become a large, lucrative industry owing to the escalating demand for "cleaner fish" to minimise sea lice infestations in Atlantic salmon mariculture farms. We used over 10K genome-wide single nucleotide polymorphisms (SNPs) to investigate the spatial patterns of genomic variation in the lumpfish along the coast of Norway and across the North Atlantic. Moreover, we applied three genome scans for outliers and two genotype-environment association tests to assess the signatures and patterns of local adaptation under extensive gene flow. With our 'global' sampling regime, we found two major genetic groups of lumpfish, i.e., the western and eastern Atlantic. Regionally in Norway, we found marginal evidence of population structure, where the population genomic analysis revealed a small portion of individuals with a different genetic ancestry. Nevertheless, we found strong support for local adaption under high gene flow in the Norwegian lumpfish and identified over 380 high-confidence environment-associated loci linked to gene sets with a key role in biological processes associated with environmental pressures and embryonic development. Our results bridge population genetic/genomics studies with seascape genomics studies and will facilitate genome-enabled monitoring of the genetic impacts of escapees and allow for genetic-informed broodstock selection and management in Norway.
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Affiliation(s)
- Simo Njabulo Maduna
- Department of Ecosystems in the Barents Region, Svanhovd Research Station, Norwegian Institute of Bioeconomy Research, 9925 Svanvik, Norway;
| | | | - Albert Kjartan Dagbjartarson Imsland
- Akvaplan-Niva Iceland Office, Akralind 6, 201 Kópavogur, Iceland; (Ó.D.B.J.); (A.K.D.I.)
- Department of Biological Sciences, High Technology Centre, University of Bergen, 5020 Bergen, Norway
| | | | | | - Lauri Kapari
- Akvaplan-Niva, Framsenteret, 9296 Tromsø, Norway;
| | | | | | - Snorre B. Hagen
- Department of Ecosystems in the Barents Region, Svanhovd Research Station, Norwegian Institute of Bioeconomy Research, 9925 Svanvik, Norway;
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34
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González-Peñas J, de Hoyos L, Díaz-Caneja CM, Andreu-Bernabeu Á, Stella C, Gurriarán X, Fañanás L, Bobes J, González-Pinto A, Crespo-Facorro B, Martorell L, Vilella E, Muntané G, Molto MD, Gonzalez-Piqueras JC, Parellada M, Arango C, Costas J. Recent natural selection conferred protection against schizophrenia by non-antagonistic pleiotropy. Sci Rep 2023; 13:15500. [PMID: 37726359 PMCID: PMC10509162 DOI: 10.1038/s41598-023-42578-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 09/12/2023] [Indexed: 09/21/2023] Open
Abstract
Schizophrenia is a debilitating psychiatric disorder associated with a reduced fertility and decreased life expectancy, yet common predisposing variation substantially contributes to the onset of the disorder, which poses an evolutionary paradox. Previous research has suggested balanced selection, a mechanism by which schizophrenia risk alleles could also provide advantages under certain environments, as a reliable explanation. However, recent studies have shown strong evidence against a positive selection of predisposing loci. Furthermore, evolutionary pressures on schizophrenia risk alleles could have changed throughout human history as new environments emerged. Here in this study, we used 1000 Genomes Project data to explore the relationship between schizophrenia predisposing loci and recent natural selection (RNS) signatures after the human diaspora out of Africa around 100,000 years ago on a genome-wide scale. We found evidence for significant enrichment of RNS markers in derived alleles arisen during human evolution conferring protection to schizophrenia. Moreover, both partitioned heritability and gene set enrichment analyses of mapped genes from schizophrenia predisposing loci subject to RNS revealed a lower involvement in brain and neuronal related functions compared to those not subject to RNS. Taken together, our results suggest non-antagonistic pleiotropy as a likely mechanism behind RNS that could explain the persistence of schizophrenia common predisposing variation in human populations due to its association to other non-psychiatric phenotypes.
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Affiliation(s)
- Javier González-Peñas
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain.
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain.
| | - Lucía de Hoyos
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Álvaro Andreu-Bernabeu
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Carol Stella
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Xaquín Gurriarán
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - Lourdes Fañanás
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona, Barcelona, Spain
| | - Julio Bobes
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Faculty of Medicine and Health Sciences - Psychiatry, Universidad de Oviedo, ISPA, INEUROPA, Oviedo, Spain
| | - Ana González-Pinto
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- BIOARABA Health Research Institute, OSI Araba, University Hospital, University of the Basque Country, Vitoria, Spain
| | - Benedicto Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Seville, Spain
| | - Lourdes Martorell
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira I Virgili, Reus, Spain
| | - Elisabet Vilella
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira I Virgili, Reus, Spain
| | - Gerard Muntané
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira I Virgili, Reus, Spain
| | - María Dolores Molto
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Genetics, University of Valencia, Campus of Burjassot, Valencia, Spain
- Department of Medicine, Universitat de València, Valencia, Spain
| | - Jose Carlos Gonzalez-Piqueras
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Medicine, Universitat de València, Valencia, Spain
- Fundación Investigación Hospital Clínico de Valencia, INCLIVA, 46010, Valencia, Spain
| | - Mara Parellada
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Calle Ibiza, 43, 28009, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Javier Costas
- Instituto de Investigación Sanitaria (IDIS) de Santiago de Compostela, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Galicia, Spain
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35
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Parra-Bracamonte GM, Magaña-Monforte JG, Jahuey-Martínez FJ, Herrera-Ojeda JB, Vázquez-Armijo JF, Segura-Correa JC. Evidence of differentiation and population structure in Charolais cattle of Mexico. Trop Anim Health Prod 2023; 55:297. [PMID: 37723380 DOI: 10.1007/s11250-023-03729-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 09/12/2023] [Indexed: 09/20/2023]
Abstract
Charolais is one of the most important beef cattle breeds in the world. In Mexico, it was introduced almost a century ago, and it has been suggested that particular breeding management and genetic material origin have caused a process of divergence among the current population. By a high-density SNP array genome-wide analysis, this study aimed to assess the proposed differentiation and population structure of local populations by genetic distances and structure approaches, and a European Charolais sample was included as a reference population. The differentiation statistics indicated that local populations exhibit moderate divergence, confirming a significant differentiation process between northeastern and northwestern Charolais populations (Fst≥ 0.043, D≥ 0.031). These results were strongly supported by PCA and structure analysis. Genetic isolation and low genetic flow between populations and divergent origins of introduced genetic material (i.e., semen) are likely the main drivers of the outcomes. Some implications are discussed.
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Affiliation(s)
| | - Juan G Magaña-Monforte
- Universidad Autónoma de Yucatán, Facultad de Medicina Veterinaria y Zootecnia, Mérida, Yucatán, México
| | | | - Jessica B Herrera-Ojeda
- Instituto Tecnológico del Valle de Morelia, Tecnológico Nacional de México, Morelia, Michoacán, México
| | | | - José C Segura-Correa
- Universidad Autónoma de Yucatán, Facultad de Medicina Veterinaria y Zootecnia, Mérida, Yucatán, México
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36
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Euclide PT, Larson WA, Shi Y, Gruenthal K, Christensen KA, Seeb J, Seeb L. Conserved islands of divergence associated with adaptive variation in sockeye salmon are maintained by multiple mechanisms. Mol Ecol 2023. [PMID: 37695544 DOI: 10.1111/mec.17126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/01/2023] [Accepted: 08/14/2023] [Indexed: 09/12/2023]
Abstract
Local adaptation is facilitated by loci clustered in relatively few regions of the genome, termed genomic islands of divergence. The mechanisms that create and maintain these islands and how they contribute to adaptive divergence is an active research topic. Here, we use sockeye salmon as a model to investigate both the mechanisms responsible for creating islands of divergence and the patterns of differentiation at these islands. Previous research suggested that multiple islands contributed to adaptive radiation of sockeye salmon. However, the low-density genomic methods used by these studies made it difficult to fully elucidate the mechanisms responsible for islands and connect genotypes to adaptive variation. We used whole genome resequencing to genotype millions of loci to investigate patterns of genetic variation at islands and the mechanisms that potentially created them. We discovered 64 islands, including 16 clustered in four genomic regions shared between two isolated populations. Characterisation of these four regions suggested that three were likely created by structural variation, while one was created by processes not involving structural variation. All four regions were small (< 600 kb), suggesting low recombination regions do not have to span megabases to be important for adaptive divergence. Differentiation at islands was not consistently associated with established population attributes. In sum, the landscape of adaptive divergence and the mechanisms that create it are complex; this complexity likely helps to facilitate fine-scale local adaptation unique to each population.
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Affiliation(s)
- Peter T Euclide
- Department of Forestry and Natural Resources, Illinois-Indiana Sea Grant, Purdue University, West Lafayette, Indiana, USA
| | - Wesley A Larson
- National Oceanographic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science Center, Auke Bay Laboratories, Juneau, Alaska, USA
| | - Yue Shi
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, Alaska, USA
| | - Kristen Gruenthal
- Alaska Department of Fish and Game, Juneau, Alaska, USA
- Office of Applied Science, Wisconsin Department of Natural Resources, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, Wisconsin, USA
| | - Kris A Christensen
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - Jim Seeb
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA
| | - Lisa Seeb
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA
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37
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Sparks MM, Schraidt CE, Yin X, Seeb LW, Christie MR. Rapid genetic adaptation to a novel ecosystem despite a large founder event. Mol Ecol 2023. [PMID: 37668092 DOI: 10.1111/mec.17121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 07/17/2023] [Accepted: 08/09/2023] [Indexed: 09/06/2023]
Abstract
Introduced and invasive species make excellent natural experiments for investigating rapid evolution. Here, we describe the effects of genetic drift and rapid genetic adaptation in pink salmon (Oncorhynchus gorbuscha) that were accidentally introduced to the Great Lakes via a single introduction event 31 generations ago. Using whole-genome resequencing for 134 fish spanning five sample groups across the native and introduced range, we estimate that the source population's effective population size was 146,886 at the time of introduction, whereas the founding population's effective population size was just 72-a 2040-fold decrease. As expected with a severe founder event, we show reductions in genome-wide measures of genetic diversity, specifically a 37.7% reduction in the number of SNPs and an 8.2% reduction in observed heterozygosity. Despite this decline in genetic diversity, we provide evidence for putative selection at 47 loci across multiple chromosomes in the introduced populations, including missense variants in genes associated with circadian rhythm, immunological response and maturation, which match expected or known phenotypic changes in the Great Lakes. For one of these genes, we use a species-specific agent-based model to rule out genetic drift and conclude our results support a strong response to selection occurring in a period gene (per2) that plays a predominant role in determining an organism's daily clock, matching large day length differences experienced by introduced salmon during important phenological periods. Together, these results inform how populations might evolve rapidly to new environments, even with a small pool of standing genetic variation.
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Affiliation(s)
- Morgan M Sparks
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Claire E Schraidt
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, USA
| | - Xiaoshen Yin
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Lisa W Seeb
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, USA
| | - Mark R Christie
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, USA
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38
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Ropp AJ, Reece KS, Snyder RA, Song J, Biesack EE, McDowell JR. Fine-scale population structure of the northern hard clam ( Mercenaria mercenaria) revealed by genome-wide SNP markers. Evol Appl 2023; 16:1422-1437. [PMID: 37622097 PMCID: PMC10445094 DOI: 10.1111/eva.13577] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 06/07/2023] [Accepted: 06/16/2023] [Indexed: 08/26/2023] Open
Abstract
Aquaculture is growing rapidly worldwide, and sustainability is dependent on an understanding of current genetic variation and levels of connectivity among populations. Genetic data are essential to mitigate the genetic and ecological impacts of aquaculture on wild populations and guard against unintended human-induced loss of intraspecific diversity in aquacultured lines. Impacts of disregarding genetics can include loss of diversity within and between populations and disruption of local adaptation patterns, which can lead to a decrease in fitness. The northern hard clam, Mercenaria mercenaria (Linnaeus, 1758), is an economically valuable aquaculture species along the North American Atlantic and Gulf coasts. Hard clams have a pelagic larval phase that allows for dispersal, but the level of genetic connectivity among geographic areas is not well understood. To better inform the establishment of site-appropriate aquaculture brood stocks, this study used DArTseq™ genotyping by sequencing to characterize the genetic stock structure of wild clams sampled along the east coast of North America and document genetic diversity within populations. Samples were collected from 15 locations from Prince Edward Island, Canada, to South Carolina, USA. Stringent data filtering resulted in 4960 single nucleotide polymorphisms from 448 individuals. Five genetic breaks separating six genetically distinct populations were identified: Canada, Maine, Massachusetts, Mid-Atlantic, Chesapeake Bay, and the Carolinas (F ST 0.003-0.046; p < 0.0001). This is the first study to assess population genetic structure of this economically important hard clam along a large portion of its native range with high-resolution genomic markers, enabling identification of previously unrecognized population structure. Results of this study not only broaden insight into the factors shaping the current distribution of M. mercenaria but also reveal the genetic population dynamics of a species with a long pelagic larval dispersal period along the North American Atlantic and Gulf coasts.
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Affiliation(s)
- Ann J. Ropp
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Kimberly S. Reece
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Richard A. Snyder
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Jingwei Song
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Ellen E. Biesack
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
| | - Jan R. McDowell
- Virginia Institute of Marine Science, William & MaryGloucester PointVirginiaUSA
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39
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Tong H, Shao G, Wang L, Li J, Wang T, Zhang L, Lv Y, Ye F, Fu C, Jin Y. Association of a single amino acid replacement with dorsal pigmentation in a lizard from the Qinghai-Tibetan Plateau. Int J Biol Macromol 2023; 242:124907. [PMID: 37230451 DOI: 10.1016/j.ijbiomac.2023.124907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/08/2023] [Accepted: 05/13/2023] [Indexed: 05/27/2023]
Abstract
Reptiles can evolve adaptive colors in different environments, but relatively little is known about the genetic mechanisms. Here, we identified the MC1R gene and its association with intraspecific color variation in the lizard Phrynocephalus erythrurus. Analysis of the MC1R sequence in 143 individuals from dark South Qiangtang Plateau (SQP) and light North Qiangtang plateau (NQP) populations, revealed two amino acid sites that showed significant differences in frequency between two areas. One SNP, corresponding to Glu183Lys residue, was found to be a highly significant outlier and differentially fixed for SQP and NQP populations. This residue is located in an extracellular area in the second small extracellular loop within the secondary structure of MC1R, which represents an "attachment pocket" part of the 3D structure. Cytological expression of MC1R alleles with the Glu183Lys replacement showed a 39 % increase in intracellular agonist-induced cyclic AMP levels and a 23.18 % greater cell surface expression of MC1R protein in the SQP relative to the NQP allele. Further in silico 3D modeling and in vitro binding experiments indicated a higher MC1R-α-MSH binding for the SQP allele, and elevated melanin synthesis. We provide an overview of how a single amino acid replacement leads to fundamental changes in MC1R function, and hence shapes variation in dorsal pigmentation in lizards from different environments.
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Affiliation(s)
- Haojie Tong
- College of Life Sciences, China Jiliang University, Hangzhou 310018, PR China
| | - Gang Shao
- College of Life Sciences, China Jiliang University, Hangzhou 310018, PR China
| | - Leijie Wang
- College of Life Sciences, China Jiliang University, Hangzhou 310018, PR China
| | - Jiasheng Li
- College of Life Sciences, China Jiliang University, Hangzhou 310018, PR China
| | - Tao Wang
- Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Lun Zhang
- Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Yudie Lv
- College of Life Sciences, China Jiliang University, Hangzhou 310018, PR China
| | - Fei Ye
- Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Caiyun Fu
- Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Yuanting Jin
- College of Life Sciences, China Jiliang University, Hangzhou 310018, PR China.
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40
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Tóth EG, Cseke K, Benke A, Lados BB, Tomov VT, Zhelev P, Kámpel JD, Borovics A, Köbölkuti ZA. Key triggers of adaptive genetic variability of sessile oak [Q. petraea (Matt.) Liebl.] from the Balkan refugia: outlier detection and association of SNP loci from ddRAD-seq data. Heredity (Edinb) 2023:10.1038/s41437-023-00629-2. [PMID: 37316726 PMCID: PMC10382515 DOI: 10.1038/s41437-023-00629-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 06/16/2023] Open
Abstract
Knowledge on the genetic composition of Quercus petraea in south-eastern Europe is limited despite the species' significant role in the re-colonisation of Europe during the Holocene, and the diverse climate and physical geography of the region. Therefore, it is imperative to conduct research on adaptation in sessile oak to better understand its ecological significance in the region. While large sets of SNPs have been developed for the species, there is a continued need for smaller sets of SNPs that are highly informative about the possible adaptation to this varied landscape. By using double digest restriction site associated DNA sequencing data from our previous study, we mapped RAD-seq loci to the Quercus robur reference genome and identified a set of SNPs putatively related to drought stress-response. A total of 179 individuals from eighteen natural populations at sites covering heterogeneous climatic conditions in the southeastern natural distribution range of Q. petraea were genotyped. The detected highly polymorphic variant sites revealed three genetic clusters with a generally low level of genetic differentiation and balanced diversity among them but showed a north-southeast gradient. Selection tests showed nine outlier SNPs positioned in different functional regions. Genotype-environment association analysis of these markers yielded a total of 53 significant associations, explaining 2.4-16.6% of the total genetic variation. Our work exemplifies that adaptation to drought may be under natural selection in the examined Q. petraea populations.
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Affiliation(s)
- Endre Gy Tóth
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary.
| | - Klára Cseke
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Attila Benke
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Botond B Lados
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Vladimir T Tomov
- Department of Landscape Architecture, Faculty of Ecology and Landscape Architecture, University of Forestry (UF), Kliment Ohridsky 10, Sofia, 1797, Bulgaria
| | - Petar Zhelev
- Department of Dendrology, Faculty of Forestry, University of Forestry (UF), Kliment Ohridsky 10, Sofia, 1797, Bulgaria
| | - József D Kámpel
- Ottó Herman Environmental and Agricultural Technical School, Vocational School and College (Agricultural Vocational Centre of the Kisalföld Region), Ernuszt Kelemen 1, Szombathely, 9700, Hungary
| | - Attila Borovics
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
| | - Zoltán A Köbölkuti
- Department of Forest Tree Breeding, Forest Research Institute (UOS-FRI), University of Sopron, Várkerület 30/A, Sárvár, 9600, Hungary
- Departement of Applied Forest Genetics Research, Bavarian Office for Forest Genetics (AWG), Forstamtsplatz 1, Teisendorf, 83317, Germany
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41
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Baltazar‐Soares M, Britton JR, Pinder A, Harrison AJ, Nunn AD, Quintella BR, Mateus CS, Bolland JD, Dodd JR, Almeida PR, Dominguez Almela V, Andreou D. Seascape genomics reveals limited dispersal and suggests spatially varying selection among European populations of sea lamprey ( Petromyzon marinus). Evol Appl 2023; 16:1169-1183. [PMID: 37360030 PMCID: PMC10286227 DOI: 10.1111/eva.13561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/08/2023] [Accepted: 05/08/2023] [Indexed: 06/28/2023] Open
Abstract
Sea lamprey Petromyzon marinus is an anadromous and semelparous fish without homing behaviors. Despite being a freshwater, free-living organism for a large part of their life cycle, its adulthood is spent as a parasite of marine vertebrates. In their native European range, while it is well-established that sea lampreys comprise a single nearly-panmictic population, few studies have further explored the evolutionary history of natural populations. Here, we performed the first genome-wide characterization of sea lamprey's genetic diversity in their European natural range. The objectives were to investigate the connectivity among river basins and explore evolutionary processes mediating dispersal during the marine phase, with the sequencing of 186 individuals from 8 locations spanning the North Eastern Atlantic coast and the North Sea with double-digest RAD-sequencing, obtaining a total of 30,910 bi-allelic SNPs. Population genetic analyses reinforced the existence of a single metapopulation encompassing freshwater spawning sites within the North Eastern Atlantic and the North Sea, though the prevalence of private alleles at northern latitudes suggested some limits to the species' dispersal. Seascape genomics suggested a scenario where oxygen concentration and river runoffs impose spatially varying selection across their distribution range. Exploring associations with the abundance of potential hosts further suggested that hake and cod could also impose selective pressures, although the nature of such putative biotic interactions was unresolved. Overall, the identification of adaptive seascapes in a panmictic anadromous species could contribute to conservation practices by providing information for restoration activities to mitigate local extinctions on freshwater sites.
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Affiliation(s)
- Miguel Baltazar‐Soares
- Department of Life and Environmental Sciences, Faculty of Science and TechnologyBournemouth UniversityDorsetUK
- MARE – Marine and Environmental Sciences CentreISPA – Instituto UniversitárioLisbonPortugal
- Department of BiologyUniversity of TurkuTurkuFinland
| | - J. Robert Britton
- Department of Life and Environmental Sciences, Faculty of Science and TechnologyBournemouth UniversityDorsetUK
| | - Adrian Pinder
- Department of Life and Environmental Sciences, Faculty of Science and TechnologyBournemouth UniversityDorsetUK
| | - Andrew J. Harrison
- Department of Life and Environmental Sciences, Faculty of Science and TechnologyBournemouth UniversityDorsetUK
| | - Andrew D. Nunn
- University of HullHull International Fisheries InstituteHullUK
| | - Bernardo R. Quintella
- MARE—Marine and Environmental Sciences CentreUniversity of ÉvoraÉvoraPortugal
- Department of Animal BiologyFaculty of Sciences, University of LisbonLisbonPortugal
| | - Catarina S. Mateus
- MARE—Marine and Environmental Sciences CentreUniversity of ÉvoraÉvoraPortugal
| | | | - Jamie R. Dodd
- University of HullHull International Fisheries InstituteHullUK
| | - Pedro R. Almeida
- MARE—Marine and Environmental Sciences CentreUniversity of ÉvoraÉvoraPortugal
- Department of Biology, School of Sciences and TechnologyUniversity of ÉvoraÉvoraPortugal
| | - Victoria Dominguez Almela
- Department of Life and Environmental Sciences, Faculty of Science and TechnologyBournemouth UniversityDorsetUK
| | - Demetra Andreou
- Department of Life and Environmental Sciences, Faculty of Science and TechnologyBournemouth UniversityDorsetUK
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42
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Gonzalez ST, Alberto F, Molano G. Whole-genome sequencing distinguishes the two most common giant kelp ecomorphs. Evolution 2023; 77:1354-1369. [PMID: 36929706 DOI: 10.1093/evolut/qpad045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 02/14/2023] [Accepted: 03/23/2023] [Indexed: 03/18/2023]
Abstract
Giant kelp, Macrocystis pyrifera, exists as distinct morphological variants-or "ecomorphs"-in different populations, yet the mechanism for this variation is uncertain, and environmental drivers for either adaptive or plastic phenotypes have not been identified. The ecomorphs Macrocystis "pyrifera" and M. "integrifolia" are distributed throughout temperate waters of North and South America with almost no geographic overlap and exhibit an incongruous, non-mirrored, distribution across the equator. This study evaluates the degree of genetic divergence between M. "pyrifera" and M. "integrifolia" across 18 populations in Chile and California using whole-genome sequencing and single-nucleotide polymorphism markers. Our results based on a principal component analysis, admixture clustering by genetic similarity, and phylogenetic inference demonstrate that M. "pyrifera" and M. "integrifolia" are genetically distinguishable. Analyses reveal separation by Northern and Southern Hemispheres and between morphs within hemispheres, suggesting that the convergent "integrifolia" morphology arose separately in each hemisphere. This is the first study to use whole-genome sequencing to understand genetic divergence in giant kelp ecomorphs, identifying 83 potential genes under selection and providing novel insights about Macrocystis evolution that were not evident with previous genetic techniques. Future studies are needed to uncover the environmental forces driving local adaptation and presumed convergent evolution of these morphs.
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Affiliation(s)
- Sara T Gonzalez
- Department of Ecology and Evolutionary Biology, University of California-Santa Cruz, Santa Cruz, CA, United States
| | - Filipe Alberto
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Gary Molano
- Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, United States
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43
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Whitelaw BL, Finn JK, Zenger KR, Cooke IR, Morse P, Strugnell JM. SNP data reveals the complex and diverse evolutionary history of the blue-ringed octopus genus (Octopodidae: Hapalochlaena) in the Asia-Pacific. Mol Phylogenet Evol 2023:107827. [PMID: 37257797 DOI: 10.1016/j.ympev.2023.107827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/02/2023]
Abstract
The blue-ringed octopus species complex (Hapalochlaena spp.), known to occur from Southern Australia to Japan, currently contains four formally described species (Hapalochlaena maculosa, Hapalochlaena fasciata, Hapalochlaena lunulata and Hapalochlaena nierstraszi). These species are distinguished based on morphological characters (iridescent blue rings and/or lines) along with reproductive strategies. However, the observation of greater morphological diversity than previously captured by the current taxonomic framework indicates that a revision is required. To examine species boundaries within the genus we used mitochondrial (12S rRNA, 16S rRNA, cytochrome c oxidase subunit 1 [COI], cytochrome c oxidase subunit 3 [COIII] and cytochrome b [Cytb]) and genome-wide SNP data (DaRT seq) from specimens collected across its geographic range including variations in depth from 3m to >100m. This investigation indicates substantially greater species diversity present within the genus Hapalochlaena than is currently described. We identified 10,346 SNPs across all locations, which when analysed support a minimum of 11 distinct clades. Bayesian phylogenetic analysis of the mitochondrial COI gene on a more limited sample set dates the diversification of the genus to ∼30mya and corroborates eight of the lineages indicated by the SNP analyses. Furthermore, we demonstrate that the diagnostic lined patterning of H. fasciata found in North Pacific waters and NSW, Australia is polyphyletic and therefore likely the result of convergent evolution. Several "deep water" (> 100m) lineages were also identified in this study with genetic convergence likely to be driven by external selective pressures. Examination of morphological traits, currently being undertaken in a parallel morphological study, is required to describe additional species within the complex.
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Affiliation(s)
- Brooke L Whitelaw
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia; Sciences, Museums Victoria Research Institute, Carlton, Victoria 3053, Australia
| | - Julian K Finn
- Sciences, Museums Victoria Research Institute, Carlton, Victoria 3053, Australia
| | - Kyall R Zenger
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia
| | - Ira R Cooke
- College of Public Health, Medical and Vet Sciences, James Cook University, Townsville, Queensland, 4811, Australia; Centre for Tropical Bioinformatics and Molecular Biology, James Cook University, Townsville, Queensland, 4811, Australia
| | - Peter Morse
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia
| | - Jan M Strugnell
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, 4811, Australia; Department of Environment and Genetics, La Trobe University, Melbourne, Victoria 3086, Australia
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Sertse D, You FM, Klymiuk V, Haile JK, N'Diaye A, Pozniak CJ, Cloutier S, Kagale S. Historical Selection, Adaptation Signatures, and Ambiguity of Introgressions in Wheat. Int J Mol Sci 2023; 24:ijms24098390. [PMID: 37176097 PMCID: PMC10179502 DOI: 10.3390/ijms24098390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Wheat was one of the crops domesticated in the Fertile Crescent region approximately 10,000 years ago. Despite undergoing recent polyploidization, hull-to-free-thresh transition events, and domestication bottlenecks, wheat is now grown in over 130 countries and accounts for a quarter of the world's cereal production. The main reason for its widespread success is its broad genetic diversity that allows it to thrive in different environments. To trace historical selection and hybridization signatures, genome scans were performed on two datasets: approximately 113K SNPs from 921 predominantly bread wheat accessions and approximately 110K SNPs from about 400 wheat accessions representing all ploidy levels. To identify environmental factors associated with the loci, a genome-environment association (GEA) was also performed. The genome scans on both datasets identified a highly differentiated region on chromosome 4A where accessions in the first dataset were dichotomized into a group (n = 691), comprising nearly all cultivars, wild emmer, and most landraces, and a second group (n = 230), dominated by landraces and spelt accessions. The grouping of cultivars is likely linked to their potential ancestor, bread wheat cv. Norin-10. The 4A region harbored important genes involved in adaptations to environmental conditions. The GEA detected loci associated with latitude and temperature. The genetic signatures detected in this study provide insight into the historical selection and hybridization events in the wheat genome that shaped its current genetic structure and facilitated its success in a wide spectrum of environmental conditions. The genome scans and GEA approaches applied in this study can help in screening the germplasm housed in gene banks for breeding, and for conservation purposes.
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Affiliation(s)
- Demissew Sertse
- Aquatic and Crop Resource Development, National Research Council Canada, Saskatoon, SK S7N 0W9, Canada
| | - Frank M You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada
| | - Valentyna Klymiuk
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Jemanesh K Haile
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Amidou N'Diaye
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Curtis J Pozniak
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada
| | - Sateesh Kagale
- Aquatic and Crop Resource Development, National Research Council Canada, Saskatoon, SK S7N 0W9, Canada
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45
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Haberkorn C, David J, Henri H, Delpuech J, Lasseur R, Vavre F, Varaldi J. A major 6 Mb superlocus is involved in pyrethroid resistance in the common bed bug Cimex lectularius. Evol Appl 2023; 16:1012-1028. [PMID: 37216030 PMCID: PMC10197226 DOI: 10.1111/eva.13550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/23/2023] [Accepted: 04/04/2023] [Indexed: 05/24/2023] Open
Abstract
In the last few years, the bed bug Cimex lectularius has been an increasing problem worldwide, mainly due to the development of insecticide resistance to pyrethroids. The characterization of resistance alleles is a prerequisite to improve surveillance and resistance management. To identify genomic variants associated with pyrethroid resistance in Cimex lectularius, we compared the genetic composition of two recent and resistant populations with that of two ancient-susceptible strains using a genome-wide pool-seq design. We identified a large 6 Mb "superlocus" showing particularly high genetic differentiation and association with the resistance phenotype. This superlocus contained several clustered resistance genes and was also characterized by a high density of structural variants (inversions, duplications). The possibility that this superlocus constitutes a resistance "supergene" that evolved after the clustering of alleles adapted to insecticide and after reduction in recombination is discussed.
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Affiliation(s)
- Chloé Haberkorn
- CNRS, VetAgro Sup, UMR 5558, Laboratoire de Biométrie et Biologie ÉvolutiveUniversité de Lyon, Université Lyon 1VilleurbanneFrance
- IZInovationLyonFrance
| | - Jean‐Philippe David
- Laboratoire d'Écologie AlpineUMR UGA‐USMB‐CNRS 5553 Université Grenoble Alpes CS 40700Grenoble cedex 9France
| | - Hélène Henri
- CNRS, VetAgro Sup, UMR 5558, Laboratoire de Biométrie et Biologie ÉvolutiveUniversité de Lyon, Université Lyon 1VilleurbanneFrance
| | - Jean‐Marie Delpuech
- CNRS, VetAgro Sup, UMR 5558, Laboratoire de Biométrie et Biologie ÉvolutiveUniversité de Lyon, Université Lyon 1VilleurbanneFrance
| | | | - Fabrice Vavre
- CNRS, VetAgro Sup, UMR 5558, Laboratoire de Biométrie et Biologie ÉvolutiveUniversité de Lyon, Université Lyon 1VilleurbanneFrance
| | - Julien Varaldi
- CNRS, VetAgro Sup, UMR 5558, Laboratoire de Biométrie et Biologie ÉvolutiveUniversité de Lyon, Université Lyon 1VilleurbanneFrance
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Irimia RE, Montesinos D, Chaturvedi A, Sanders I, Hierro JL, Sotes G, Cavieres LA, Eren Ö, Lortie CJ, French K, Brennan AC. Trait evolution during a rapid global weed invasion despite little genetic differentiation. Evol Appl 2023; 16:997-1011. [PMID: 37216028 PMCID: PMC10197227 DOI: 10.1111/eva.13548] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/12/2023] [Accepted: 03/23/2023] [Indexed: 05/24/2023] Open
Abstract
Invasive species often possess a great capacity to adapt to novel environments in the form of spatial trait variation, as a result of varying selection regimes, genetic drift, or plasticity. We explored the geographic differentiation in several phenotypic traits related to plant growth, reproduction, and defense in the highly invasive Centaurea solstitialis by measuring neutral genetic differentiation (F ST), and comparing it with phenotypic differentiation (P ST), in a common garden experiment in individuals originating from regions representing the species distribution across five continents. Native plants were more fecund than non-native plants, but the latter displayed considerably larger seed mass. We found indication of divergent selection for these two reproductive traits but little overall genetic differentiation between native and non-native ranges. The native versus invasive P ST-F ST comparisons demonstrated that, in several invasive regions, seed mass had increased proportionally more than the genetic differentiation. Traits displayed different associations with climate variables in different regions. Both capitula numbers and seed mass were associated with winter temperature and precipitation and summer aridity in some regions. Overall, our study suggests that rapid evolution has accompanied invasive success of C. solstitialis and provides new insights into traits and their genetic bases that can contribute to fitness advantages in non-native populations.
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Affiliation(s)
- Ramona E. Irimia
- Centre for Functional Ecology, Department of Life SciencesUniversity of CoimbraCoimbraPortugal
- Plant Evolutionary Ecology, Institute of Evolution and EcologyUniversity of TübingenTübingenGermany
| | - Daniel Montesinos
- Centre for Functional Ecology, Department of Life SciencesUniversity of CoimbraCoimbraPortugal
- Australian Tropical HerbariumJames Cook UniversityQueenslandCairnsAustralia
| | - Anurag Chaturvedi
- Department of Ecology and EvolutionUniversity of LausanneLausanneSwitzerland
- Environmental Genomics Group, School of BiosciencesUniversity of BirminghamBirminghamUK
| | - Ian Sanders
- Department of Ecology and EvolutionUniversity of LausanneLausanneSwitzerland
| | - José L. Hierro
- Laboratorio de Ecología, Biogeografía y Evolución Vegetal (LEByEV), Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Universidad Nacional de La Pampa (UNLPam)Santa RosaArgentina
- Departamento de Biología, Facultad de Ciencias Exactas y Naturales, UNLPamSanta RosaArgentina
| | - Gastón Sotes
- Laboratorio de Ecología, Biogeografía y Evolución Vegetal (LEByEV), Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Universidad Nacional de La Pampa (UNLPam)Santa RosaArgentina
| | - Lohengrin A. Cavieres
- Departamento de Botánica, Facultad de Ciencias Naturales y OceanográficasUniversidad de ConcepciónConcepciónChile
- Instituto de Ecología y Biodiversidad (IEB)SantiagoChile
| | - Özkan Eren
- Aydın Adnan Menderes Üniversitesi, Biyoloji Bölümü, Fen‐Edebiyat FakültesiAydınTurkey
| | - Christopher J. Lortie
- Department of BiologyYork UniversityOntarioTorontoCanada
- The National Center for Ecological Analysis and Synthesis (NCEAS), UCSBCaliforniaUSA
| | - Kristine French
- School of Earth, Atmospheric and Life SciencesUniversity of WollongongNew South WalesWollongongAustralia
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Mar-Silva AF, Diaz-Jaimes P, Domínguez-Mendoza C, Domínguez-Domínguez O, Valdiviezo-Rivera J, Espinoza-Herrera E. Genomic assessment reveals signal of adaptive selection in populations of the Spotted rose snapper Lutjanus guttatus from the Tropical Eastern Pacific. PeerJ 2023; 11:e15029. [PMID: 37009151 PMCID: PMC10062342 DOI: 10.7717/peerj.15029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/17/2023] [Indexed: 03/29/2023] Open
Abstract
Background
The lack of barriers in the marine environment has promoted the idea of panmixia in marine organisms. However, oceanographic conditions and habitat characteristics have recently been linked to genetic structure in marine species. The Tropical Eastern Pacific (TEP) is characterized by dynamic current systems and heterogeneous oceanographic conditions. The Gulf of Panama (part of the equatorial segment for the TEP) is influenced by a complex current system and heterogeneous environment, which has been shown to limit the gene flow for shoreline species. Next Generation Sequencing (NGS) has contributed to detect genetic differences in previously reported panmictic species by the assessment of loci associated with selection and to understand how selection acts affects marine populations. Lutjanus guttatus is a species distributed in the TEP for which previous studies using mitochondrial data recovered a panmictic pattern along its distributional range. In this study, we used SNP data of L. guttatus individuals sampled along its range to evaluate population genetic structure and investigate whether oceanographic factors influence the species’ genetic architecture. Finally, we assessed the role of adaptive selection by evaluating the contribution of outlier and neutral loci to genetic divergence.
Methods
The RADcap method was used to obtain 24 million paired reads for 123 individuals of L. guttatus covering nearly all its distributional area. Genetic variation was assessed using both spatial and non-spatial methods by comparing three different data sets: (i) a Combined Loci (CL dataset = 2003 SNPs); a search for putative loci under selection allowed the evaluation of (ii) Neutral Loci (NL dataset = 1858 SNPs) and (iii) Outlier Loci (OL dataset = 145 SNPs). We used the estimating effective migration surface (EEMS) approach to detect possible barriers to gene flow.
Results
Genetic differences were found in the OL dataset, showing two clusters (Northern and Southern), whereas NL showed no differences. This result may be related to the Selection-Migration balance model. The limit between the Northern and Southern groups was in the Gulf of Panama, which has been previously identified as a barrier to gene flow for other species, mainly due to its heterogeneous oceanographic conditions. The results suggest that selection plays an important role in generating genetic differences in Lutjanus guttatus. A migration corridor was detected that coincides with the Costa Rica Coastal Current that flows from Central America to the Gulf of California, allowing the homogenization of the northern population. In the Southern cluster, a migration corridor was observed with the OL from Panama to Colombia, which could be associated with the currents found in the Gulf of Panama. Genetic variation found in the OL of Lutjanus guttatus highlights the usefulness of NGS data in evaluating the role of selection in population differentiation.
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Affiliation(s)
- Adán F. Mar-Silva
- Posgrado en Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Pindaro Diaz-Jaimes
- Unidad de Ecología y Biodiversidad Acuática, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Cristina Domínguez-Mendoza
- Unidad de Ecología y Biodiversidad Acuática, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Omar Domínguez-Domínguez
- Laboratorio de Biología Acuática, Facultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, Mexico
- Instituto Nacional de Biodiversidad, Quito, Ecuador
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48
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Wersebe MJ, Sherman RE, Jeyasingh PD, Weider LJ. The roles of recombination and selection in shaping genomic divergence in an incipient ecological species complex. Mol Ecol 2023; 32:1478-1496. [PMID: 35119153 DOI: 10.1111/mec.16383] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 01/16/2022] [Accepted: 01/28/2022] [Indexed: 11/24/2022]
Abstract
Speciation genomic studies have revealed that genomes of diverging lineages are shaped jointly by the actions of gene flow and selection. These evolutionary forces acting in concert with processes such as recombination and genome features such as gene density shape a mosaic landscape of divergence. We investigated the roles of recombination and gene density in shaping the patterns of differentiation and divergence between the cyclically parthenogenetic ecological sister-taxa, Daphnia pulicaria and Daphnia pulex. First, we assembled a phased chromosome-scale genome assembly using trio-binning for D. pulicaria and constructed a genetic map using an F2-intercross panel to understand sex-specific recombination rate heterogeneity. Finally, we used a ddRADseq data set with broad geographic sampling of D. pulicaria, D. pulex, and their hybrids to understand the patterns of genome-scale divergence and demographic parameters. Our study provides the first sex-specific estimates of recombination rates for a cyclical parthenogen, and unlike other eukaryotic species, we observed male-biased heterochiasmy in D. pulicaria, which may be related to this somewhat unique breeding mode. Additionally, regions of high gene density and recombination are generally more divergent than regions of suppressed recombination. Outlier analysis indicated that divergent genomic regions are probably driven by selection on D. pulicaria, the derived lineage colonizing a novel lake habitat. Together, our study supports a scenario of selection acting on genes related to local adaptation shaping genome-wide patterns of differentiation despite high local recombination rates in this species complex. Finally, we discuss the limitations of our data in light of demographic uncertainty.
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Affiliation(s)
- Matthew J Wersebe
- Department of Biology, Program in Ecology and Evolutionary Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - Ryan E Sherman
- Department of Integrative Biology, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Punidan D Jeyasingh
- Department of Integrative Biology, Oklahoma State University, Stillwater, Oklahoma, USA
| | - Lawrence J Weider
- Department of Biology, Program in Ecology and Evolutionary Biology, University of Oklahoma, Norman, Oklahoma, USA
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49
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Novikova SV, Sharov VV, Oreshkova NV, Simonov EP, Krutovsky KV. Genetic Adaptation of Siberian Larch ( Larix sibirica Ledeb.) to High Altitudes. Int J Mol Sci 2023; 24:ijms24054530. [PMID: 36901960 PMCID: PMC10003562 DOI: 10.3390/ijms24054530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/10/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
Forest trees growing in high altitude conditions offer a convenient model for studying adaptation processes. They are subject to a whole range of adverse factors that are likely to cause local adaptation and related genetic changes. Siberian larch (Larix sibirica Ledeb.), whose distribution covers different altitudes, makes it possible to directly compare lowland with highland populations. This paper presents for the first time the results of studying the genetic differentiation of Siberian larch populations, presumably associated with adaptation to the altitudinal gradient of climatic conditions, based on a joint analysis of altitude and six other bioclimatic variables, together with a large number of genetic markers, single nucleotide polymorphisms (SNPs), obtained from double digest restriction-site-associated DNA sequencing (ddRADseq). In total, 25,143 SNPs were genotyped in 231 trees. In addition, a dataset of 761 supposedly selectively neutral SNPs was assembled by selecting SNPs located outside coding regions in the Siberian larch genome and mapped to different contigs. The analysis using four different methods (PCAdapt, LFMM, BayeScEnv and RDA) revealed 550 outlier SNPs, including 207 SNPs whose variation was significantly correlated with the variation of some of environmental factors and presumably associated with local adaptation, including 67 SNPs that correlated with altitude based on either LFMM or BayeScEnv and 23 SNPs based on both of them. Twenty SNPs were found in the coding regions of genes, and 16 of them represented non-synonymous nucleotide substitutions. They are located in genes involved in the processes of macromolecular cell metabolism and organic biosynthesis associated with reproduction and development, as well as organismal response to stress. Among these 20 SNPs, nine were possibly associated with altitude, but only one of them was identified as associated with altitude by all four methods used in the study, a nonsynonymous SNP in scaffold_31130 in position 28092, a gene encoding a cell membrane protein with uncertain function. Among the studied populations, at least two main groups (clusters), the Altai populations and all others, were significantly genetically different according to the admixture analysis based on any of the three SNP datasets as follows: 761 supposedly selectively neutral SNPs, all 25,143 SNPs and 550 adaptive SNPs. In general, according to the AMOVA results, genetic differentiation between transects or regions or between population samples was relatively low, although statistically significant, based on 761 neutral SNPs (FST = 0.036) and all 25,143 SNPs (FST = 0.017). Meanwhile, the differentiation based on 550 adaptive SNPs was much higher (FST = 0.218). The data showed a relatively weak but highly significant linear correlation between genetic and geographic distances (r = 0.206, p = 0.001).
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Affiliation(s)
- Serafima V. Novikova
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Vadim V. Sharov
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Department of High-Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia
- Tauber Bioinformatics Research Center, University of Haifa, Haifa 3498838, Israel
| | - Natalia V. Oreshkova
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036 Krasnoyarsk, Russia
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Evgeniy P. Simonov
- Laboratory of Evolutionary Trophology, A. N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, 119071 Moscow, Russia
| | - Konstantin V. Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, George-August University of Göttingen, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
- Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, 394087 Voronezh, Russia
- Correspondence: ; Tel.: +49-551-339-3537
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50
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Green L, Faust E, Hinchcliffe J, Brijs J, Holmes A, Englund Örn F, Svensson O, Roques JAC, Leder EH, Sandblom E, Kvarnemo C. Invader at the edge - Genomic origins and physiological differences of round gobies across a steep urban salinity gradient. Evol Appl 2023; 16:321-337. [PMID: 36793700 PMCID: PMC9923490 DOI: 10.1111/eva.13437] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 11/28/2022] Open
Abstract
Species invasions are a global problem of increasing concern, especially in highly connected aquatic environments. Despite this, salinity conditions can pose physiological barriers to their spread, and understanding them is important for management. In Scandinavia's largest cargo port, the invasive round goby (Neogobius melanostomus) is established across a steep salinity gradient. We used 12,937 SNPs to identify the genetic origin and diversity of three sites along the salinity gradient and round goby from western, central and northern Baltic Sea, as well as north European rivers. Fish from two sites from the extreme ends of the gradient were also acclimated to freshwater and seawater, and tested for respiratory and osmoregulatory physiology. Fish from the high-salinity environment in the outer port showed higher genetic diversity, and closer relatedness to the other regions, compared to fish from lower salinity upstream the river. Fish from the high-salinity site also had higher maximum metabolic rate, fewer blood cells and lower blood Ca2+. Despite these genotypic and phenotypic differences, salinity acclimation affected fish from both sites in the same way: seawater increased the blood osmolality and Na+ levels, and freshwater increased the levels of the stress hormone cortisol. Our results show genotypic and phenotypic differences over short spatial scales across this steep salinity gradient. These patterns of the physiologically robust round goby are likely driven by multiple introductions into the high-salinity site, and a process of sorting, likely based on behaviour or selection, along the gradient. This euryhaline fish risks spreading from this area, and seascape genomics and phenotypic characterization can inform management strategies even within an area as small as a coastal harbour inlet.
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Affiliation(s)
- Leon Green
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden.,Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden.,Gothenburg Global Biodiversity Centre University of Gothenburg Gothenburg Sweden
| | - Ellika Faust
- Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden.,Gothenburg Global Biodiversity Centre University of Gothenburg Gothenburg Sweden.,Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden
| | - James Hinchcliffe
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden
| | - Jeroen Brijs
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden.,Institute of Marine Biology University of Hawai'i Kaneohe Hawai'i USA
| | - Andrew Holmes
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden.,Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden
| | - Felix Englund Örn
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden.,Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden
| | - Ola Svensson
- Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden.,Department of Educational Work University of Borås Borås Sweden
| | - Jonathan A C Roques
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden
| | - Erica H Leder
- Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden.,Tjärnö Marine Laboratory, Department of Marine Sciences University of Gothenburg Strömstad Sweden.,Natural History Museum University of Oslo Oslo Norway
| | - Erik Sandblom
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden
| | - Charlotta Kvarnemo
- Department of Biological and Environmental Sciences University of Gothenburg Gothenburg Sweden.,Linnaeus Centre for Marine Evolutionary Biology University of Gothenburg Strömstad Sweden
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