1
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Fraimout A, Guillaume F, Li Z, Sillanpää MJ, Rastas P, Merilä J. Dissecting the genetic architecture of quantitative traits using genome-wide identity-by-descent sharing. Mol Ecol 2024; 33:e17299. [PMID: 38380534 DOI: 10.1111/mec.17299] [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: 07/28/2023] [Revised: 01/08/2024] [Accepted: 01/22/2024] [Indexed: 02/22/2024]
Abstract
Additive and dominance genetic variances underlying the expression of quantitative traits are important quantities for predicting short-term responses to selection, but they are notoriously challenging to estimate in most non-model wild populations. Specifically, large-sized or panmictic populations may be characterized by low variance in genetic relatedness among individuals which, in turn, can prevent accurate estimation of quantitative genetic parameters. We used estimates of genome-wide identity-by-descent (IBD) sharing from autosomal SNP loci to estimate quantitative genetic parameters for ecologically important traits in nine-spined sticklebacks (Pungitius pungitius) from a large, outbred population. Using empirical and simulated datasets, with varying sample sizes and pedigree complexity, we assessed the performance of different crossing schemes in estimating additive genetic variance and heritability for all traits. We found that low variance in relatedness characteristic of wild outbred populations with high migration rate can impair the estimation of quantitative genetic parameters and bias heritability estimates downwards. On the other hand, the use of a half-sib/full-sib design allowed precise estimation of genetic variance components and revealed significant additive variance and heritability for all measured traits, with negligible dominance contributions. Genome-partitioning and QTL mapping analyses revealed that most traits had a polygenic basis and were controlled by genes at multiple chromosomes. Furthermore, different QTL contributed to variation in the same traits in different populations suggesting heterogeneous underpinnings of parallel evolution at the phenotypic level. Our results provide important guidelines for future studies aimed at estimating adaptive potential in the wild, particularly for those conducted in outbred large-sized populations.
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Affiliation(s)
- Antoine Fraimout
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Frédéric Guillaume
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Zitong Li
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
| | - Mikko J Sillanpää
- Research Unit of Mathematical Sciences, FI-90014 University of Oulu, Oulu, Finland
| | - Pasi Rastas
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, FI-00014 University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FI-00014 University of Helsinki, Helsinki, Finland
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
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2
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Kho KH, Sukhan ZP, Hossen S, Cho Y, Lee WK, Nou IS. Age-Dependent Growth-Related QTL Variations in Pacific Abalone, Haliotis discus hannai. Int J Mol Sci 2023; 24:13388. [PMID: 37686194 PMCID: PMC10488178 DOI: 10.3390/ijms241713388] [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: 07/26/2023] [Revised: 08/09/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Pacific abalone is a high-value, commercially important marine invertebrate. It shows low growth as well as individual and yearly growth variation in aquaculture. Marker-assisted selection breeding could potentially resolve the problem of low and variable growth and increase genetic gain. Expression of quantitative trait loci (QTLs) for growth-related traits, viz., body weight, shell length, and shell width were analyzed at the first, second, and third year of age using an F1 cross population. A total of 37 chromosome-wide QTLs were identified in linkage groups 01, 02, 03, 04, 06, 07, 08, 10, 11, 12, and 13 at different ages. None of the QTLs detected at any one age were expressed in all three age groups. This result suggests that growth-related traits at different ages are influenced by different QTLs in each year. However, multiple-trait QTLs (where one QTL affects all three traits) were detected each year that are also age-specific. Eleven multiple-trait QTLs were detected at different ages: two QTLs in the first year; two QTLs in the second year; and seven QTLs in the third year. As abalone hatcheries use three-year-old abalone for breeding, QTL-linked markers that were detected at the third year of age could potentially be used in marker-assisted selection breeding programs.
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Affiliation(s)
- Kang Hee Kho
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Zahid Parvez Sukhan
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Shaharior Hossen
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Yusin Cho
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Won-Kyo Lee
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Ill-Sup Nou
- Department of Horticulture, Sunchon National University, Suncheon 57922, Republic of Korea;
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3
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DeLorenzo L, Mathews D, Brandon AA, Joglekar M, Carmona Baez A, Moore EC, Ciccotto PJ, Roberts NB, Roberts RB, Powder KE. Genetic basis of ecologically relevant body shape variation among four genera of cichlid fishes. Mol Ecol 2023; 32:3975-3988. [PMID: 37161914 PMCID: PMC10502943 DOI: 10.1111/mec.16977] [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: 10/02/2021] [Revised: 04/20/2023] [Accepted: 04/26/2023] [Indexed: 05/11/2023]
Abstract
Divergence in body shape is one of the most widespread and repeated patterns of morphological variation in fishes and is associated with habitat specification and swimming mechanics. Such ecological diversification is the first stage of the explosive adaptive radiation of cichlid fishes in the East African Rift Lakes. We use two hybrid crosses of cichlids (Metriaclima sp. × Aulonocara sp. and Labidochromis sp. × Labeotropheus sp., >975 animals total) to determine the genetic basis of body shape diversification that is similar to benthic-pelagic divergence across fishes. Using a series of both linear and geometric shape measurements, we identified 34 quantitative trait loci (QTL) that underlie various aspects of body shape variation. These QTL are spread throughout the genome, each explaining 3.2-8.6% of phenotypic variation, and are largely modular. Further, QTL are distinct both between these two crosses of Lake Malawi cichlids and compared to previously identified QTL for body shape in fishes such as sticklebacks. We find that body shape is controlled by many genes of small effect. In all, we find that convergent body shape phenotypes commonly observed across fish clades are most likely due to distinct genetic and molecular mechanisms.
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Affiliation(s)
- Leah DeLorenzo
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Destiny Mathews
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - A. Allyson Brandon
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Mansi Joglekar
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
| | - Aldo Carmona Baez
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
| | - Emily C. Moore
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
- Department of Biological Sciences, University of Montana, Missoula, MT 59812, USA
| | - Patrick J. Ciccotto
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
- Department of Biology, Warren Wilson College, Swannanoa, NC 28778, USA
| | - Natalie B. Roberts
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
| | - Reade B. Roberts
- Department of Biological Sciences, and Genetics and Genomics Academy, North Carolina State University, Raleigh, NC 27695, USA
| | - Kara E. Powder
- Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
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4
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Wang Y, Wang Y, Zhao Y, Kravchenko AY, Merilä J, Guo B. Phylogenomics of Northeast Asian
Pungitius
sticklebacks. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13423] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Yingnan Wang
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Yu Wang
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Yahui Zhao
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
| | - Alexandra Yu Kravchenko
- A. V. Zhirmunsky National Scientific Center of Marine Biology Far Eastern Branch Russian Academy of Sciences Vladivostok Russia
| | - Juha Merilä
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland
- Research Division for Ecology and Biodiversity, School of Biological Sciences Faculty of Science The University of Hong Kong Hong Kong SAR China
| | - Baocheng Guo
- Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
- Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China
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5
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Kemppainen P, Li Z, Rastas P, Löytynoja A, Fang B, Yang J, Guo B, Shikano T, Merilä J. Genetic population structure constrains local adaptation in sticklebacks. Mol Ecol 2021; 30:1946-1961. [PMID: 33464655 DOI: 10.1111/mec.15808] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 11/19/2020] [Accepted: 01/08/2021] [Indexed: 12/20/2022]
Abstract
Repeated and independent adaptation to specific environmental conditions from standing genetic variation is common. However, if genetic variation is limited, the evolution of similar locally adapted traits may be restricted to genetically different and potentially less optimal solutions or prevented from happening altogether. Using a quantitative trait locus (QTL) mapping approach, we identified the genomic regions responsible for the repeated pelvic reduction (PR) in three crosses between nine-spined stickleback populations expressing full and reduced pelvic structures. In one cross, PR mapped to linkage group 7 (LG7) containing the gene Pitx1, known to control pelvic reduction also in the three-spined stickleback. In the two other crosses, PR was polygenic and attributed to 10 novel QTL, of which 90% were unique to specific crosses. When screening the genomes from 27 different populations for deletions in the Pitx1 regulatory element, these were only found in the population in which PR mapped to LG7, even though the morphological data indicated large-effect QTL for PR in several other populations as well. Consistent with the available theory and simulations parameterized on empirical data, we hypothesize that the observed variability in genetic architecture of PR is due to heterogeneity in the spatial distribution of standing genetic variation caused by >2× stronger population structuring among freshwater populations and >10× stronger genetic isolation by distance in the sea in nine-spined sticklebacks as compared to three-spined sticklebacks.
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Affiliation(s)
- Petri Kemppainen
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Zitong Li
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,CSIRO Agriculture & Food, Canberra, ACT, Australia
| | - Pasi Rastas
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Ari Löytynoja
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Bohao Fang
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Jing Yang
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Chinese Sturgeon Research Institute, Three Gorges Corporation, Yichang, China
| | - Baocheng Guo
- The Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Takahito Shikano
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Juha Merilä
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.,Division of Ecology and Biodiversity, The University of Hong Kong, Pokfulam, Hong Kong, SAR
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6
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Price N, Lopez L, Platts AE, Lasky JR. In the presence of population structure: From genomics to candidate genes underlying local adaptation. Ecol Evol 2020; 10:1889-1904. [PMID: 32128123 DOI: 10.1101/642306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 05/26/2023] Open
Abstract
Understanding the genomic signatures, genes, and traits underlying local adaptation of organisms to heterogeneous environments is of central importance to the field evolutionary biology. To identify loci underlying local adaptation, models that combine allelic and environmental variation while controlling for the effects of population structure have emerged as the method of choice. Despite being evaluated in simulation studies, there has not been a thorough investigation of empirical evidence supporting local adaptation across these alleles. To evaluate these methods, we use 875 Arabidopsis thaliana Eurasian accessions and two mixed models (GEMMA and LFMM) to identify candidate SNPs underlying local adaptation to climate. Subsequently, to assess evidence of local adaptation and function among significant SNPs, we examine allele frequency differentiation and recent selection across Eurasian populations, in addition to their distribution along quantitative trait loci (QTL) explaining fitness variation between Italy and Sweden populations and cis-regulatory/nonsynonymous sites showing significant selective constraint. Our results indicate that significant LFMM/GEMMA SNPs show low allele frequency differentiation and linkage disequilibrium across locally adapted Italy and Sweden populations, in addition to a poor association with fitness QTL peaks (highest logarithm of odds score). Furthermore, when examining derived allele frequencies across the Eurasian range, we find that these SNPs are enriched in low-frequency variants that show very large climatic differentiation but low levels of linkage disequilibrium. These results suggest that their enrichment along putative functional sites most likely represents deleterious variation that is independent of local adaptation. Among all the genomic signatures examined, only SNPs showing high absolute allele frequency differentiation (AFD) and linkage disequilibrium (LD) between Italy and Sweden populations showed a strong association with fitness QTL peaks and were enriched along selectively constrained cis-regulatory/nonsynonymous sites. Using these SNPs, we find strong evidence linking flowering time, freezing tolerance, and the abscisic-acid pathway to local adaptation.
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Affiliation(s)
- Nicholas Price
- Department of Bioagricultural Sciences & Pest Management Colorado State University Fort Collins CO USA
- Department of Biological Sciences University of Cyprus Nicosia Cyprus
| | - Lua Lopez
- Department of Biology Binghamton University (State University of New York) Binghamton NY USA
| | - Adrian E Platts
- Simons Center for Quantitative Biology Cold Spring Harbor Laboratory Cold Spring Harbor NY USA
- Department of Biology Center for Genomics and Systems Biology New York University New York NY USA
| | - Jesse R Lasky
- Department of Biology Pennsylvania State University University Park PA USA
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7
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Price N, Lopez L, Platts AE, Lasky JR. In the presence of population structure: From genomics to candidate genes underlying local adaptation. Ecol Evol 2020; 10:1889-1904. [PMID: 32128123 PMCID: PMC7042746 DOI: 10.1002/ece3.6002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 12/25/2022] Open
Abstract
Understanding the genomic signatures, genes, and traits underlying local adaptation of organisms to heterogeneous environments is of central importance to the field evolutionary biology. To identify loci underlying local adaptation, models that combine allelic and environmental variation while controlling for the effects of population structure have emerged as the method of choice. Despite being evaluated in simulation studies, there has not been a thorough investigation of empirical evidence supporting local adaptation across these alleles. To evaluate these methods, we use 875 Arabidopsis thaliana Eurasian accessions and two mixed models (GEMMA and LFMM) to identify candidate SNPs underlying local adaptation to climate. Subsequently, to assess evidence of local adaptation and function among significant SNPs, we examine allele frequency differentiation and recent selection across Eurasian populations, in addition to their distribution along quantitative trait loci (QTL) explaining fitness variation between Italy and Sweden populations and cis-regulatory/nonsynonymous sites showing significant selective constraint. Our results indicate that significant LFMM/GEMMA SNPs show low allele frequency differentiation and linkage disequilibrium across locally adapted Italy and Sweden populations, in addition to a poor association with fitness QTL peaks (highest logarithm of odds score). Furthermore, when examining derived allele frequencies across the Eurasian range, we find that these SNPs are enriched in low-frequency variants that show very large climatic differentiation but low levels of linkage disequilibrium. These results suggest that their enrichment along putative functional sites most likely represents deleterious variation that is independent of local adaptation. Among all the genomic signatures examined, only SNPs showing high absolute allele frequency differentiation (AFD) and linkage disequilibrium (LD) between Italy and Sweden populations showed a strong association with fitness QTL peaks and were enriched along selectively constrained cis-regulatory/nonsynonymous sites. Using these SNPs, we find strong evidence linking flowering time, freezing tolerance, and the abscisic-acid pathway to local adaptation.
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Affiliation(s)
- Nicholas Price
- Department of Bioagricultural Sciences & Pest ManagementColorado State UniversityFort CollinsCOUSA
- Department of Biological SciencesUniversity of CyprusNicosiaCyprus
| | - Lua Lopez
- Department of BiologyBinghamton University (State University of New York)BinghamtonNYUSA
| | - Adrian E. Platts
- Simons Center for Quantitative BiologyCold Spring Harbor LaboratoryCold Spring HarborNYUSA
- Department of BiologyCenter for Genomics and Systems BiologyNew York UniversityNew YorkNYUSA
| | - Jesse R. Lasky
- Department of BiologyPennsylvania State UniversityUniversity ParkPAUSA
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8
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Guo L, Xu YH, Zhang N, Zhou FL, Huang JH, Liu BS, Jiang SG, Zhang DC. A High-Density Genetic Linkage Map and QTL Mapping for Sex in Black Tiger Shrimp ( Penaeus monodon). Front Genet 2019; 10:326. [PMID: 31024632 PMCID: PMC6465554 DOI: 10.3389/fgene.2019.00326] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 03/26/2019] [Indexed: 12/20/2022] Open
Abstract
The black tiger shrimp, Penaeus monodon, is important in both fishery and aquaculture and is the second-most widely cultured shrimp species in the world. However, the current strains cannot meet the market needs in various cultural environments, and the genome resources for P. monodon are still lacking. Restriction-site associated DNA sequencing (RADseq) has been widely used in genetic linkage map construction and in quantitative trait loci (QTL) mapping. We constructed a high-density genetic linkage map with RADseq in a full-sib family. This map contained 6524 single nucleotide polymorphisms (SNPs) and 2208 unique loci. The total length was 3275.4 cM, and the genetic distance was estimated to be 1.1 Mb/cM. The sex trait is a dichotomous phenotype, and the same interval was detected as a QTL using QTL mapping and genome-wide association analysis. The most significant locus explained 77.4% of the phenotype variance. The sex locus was speculated to be the same in this species based on the sequence alignments in Mozambique, India, and Hawaii populations. The constructed genetic linkage map provided a valuable resource for QTL mapping, genome assembly, and genome comparison for shrimp. The demonstrated common sex locus is a step closer to locating the underlying gene.
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Affiliation(s)
- Liang Guo
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
| | - Yu-Hui Xu
- Biomarker Technologies Corporation, Beijing, China
| | - Nan Zhang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
| | - Fa-Lin Zhou
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
| | - Jian-Hua Huang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
| | - Bao-Suo Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
| | - Shi-Gui Jiang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
| | - Dian-Chang Zhang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.,Guangdong Provincial Engineer Technology Research Center of Marine Biological Seed Industry, Guangzhou, China
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9
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Chen L, Peng W, Kong S, Pu F, Chen B, Zhou Z, Feng J, Li X, Xu P. Genetic Mapping of Head Size Related Traits in Common Carp ( Cyprinus carpio). Front Genet 2018; 9:448. [PMID: 30356829 PMCID: PMC6190898 DOI: 10.3389/fgene.2018.00448] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 09/18/2018] [Indexed: 12/23/2022] Open
Abstract
Head size is important economic trait for many aquaculture fish which is directly linked to their carcass yield. The genetic basis of head size trait remains unclear in many widely cultured fish species. Common carp (Cyprinus carpio) is one of the most widely studied fish due to its importance on both economic and environmental aspects. In this study, we performed genome-wide association study using 433 Yellow River carp individuals from multiple families to identify loci and genes potentially associated with head size related traits including head length (HL), head length/body length ratio (HBR), eye diameter (ED), and eye cross (EC). QTL mapping was utilized to filter the effects of population stratification and improve power for the candidates identification in the largest surveyed family with a published genetic linkage map. Twelve SNPs showed significant for head size traits in GWAS and 18 QTLs were identified in QTL mapping. Our study combining both GWAS and QTL mapping could compensate the deficiency from each other and advance our understanding of head size traits in common carp. To acquire a better understanding of the correlation between head size and body growth, we also performed comparisons between QTLs of head size traits and growth-related traits. Candidate genes underlying head size traits were identified surrounding the significant SNPs, including parvalbumin, srpk2, fsrp5, igf1, igf3, grb10, igf1r, notch2, sfrp2. Many of these genes have been identified with potential functions on bone formation and growth. Igf1 was a putative gene associated with both head size and body growth in Yellow River carp. The teleost-specific igf3 was a candidate head size related gene, related to both HL and HBR. Our study also indicated the importance of Igf signaling pathway for both growth and head size determination in common carp, which could be potentially used in future selective breeding in common carp as well as other species.
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Affiliation(s)
- Lin Chen
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.,College of Fisheries, Henan Normal University, Xinxiang, China
| | - Wenzhu Peng
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Shengnan Kong
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.,College of Fisheries, Henan Normal University, Xinxiang, China
| | - Fei Pu
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Baohua Chen
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Zhixiong Zhou
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
| | - Jianxin Feng
- Henan Academy of Fishery Sciences, Zhengzhou, China
| | - Xuejun Li
- College of Fisheries, Henan Normal University, Xinxiang, China
| | - Peng Xu
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China.,State Key Laboratory of Large Yellow Croaker Breeding, Ningde Fufa Fisheries Company Limited, Ningde, China.,Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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10
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Li Z, Kemppainen P, Rastas P, Merilä J. Linkage disequilibrium clustering‐based approach for association mapping with tightly linked genomewide data. Mol Ecol Resour 2018; 18:809-824. [DOI: 10.1111/1755-0998.12893] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 04/05/2018] [Accepted: 04/06/2018] [Indexed: 02/05/2023]
Affiliation(s)
- Zitong Li
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
| | - Petri Kemppainen
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
| | - Pasi Rastas
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
| | - Juha Merilä
- Ecological Genetics Research Unit Research Programme in Organismal and Evolutionary Biology Faculty of Biological and Environmental Sciences Department of Biosciences University of Helsinki Helsinki Finland
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11
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Li Z, Guo B, Yang J, Herczeg G, Gonda A, Balázs G, Shikano T, Calboli FCF, Merilä J. Deciphering the genomic architecture of the stickleback brain with a novel multilocus gene-mapping approach. Mol Ecol 2017; 26:1557-1575. [DOI: 10.1111/mec.14005] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Revised: 11/11/2016] [Accepted: 11/14/2016] [Indexed: 12/24/2022]
Affiliation(s)
- Zitong Li
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
| | - Baocheng Guo
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
| | - Jing Yang
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
| | - Gábor Herczeg
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
- Behavioural Ecology Group; Department of Systematic Zoology and Ecology; Eötvös Loránd University; Pázmány Péter sétány1/C 1117 Budapest Hungary
| | - Abigél Gonda
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
| | - Gergely Balázs
- Behavioural Ecology Group; Department of Systematic Zoology and Ecology; Eötvös Loránd University; Pázmány Péter sétány1/C 1117 Budapest Hungary
| | - Takahito Shikano
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
| | - Federico C. F. Calboli
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
| | - Juha Merilä
- Ecological Genetics Research Unit; Department of Biosciences; University of Helsinki; P.O. Box 65 FI-00014 Helsinki Finland
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Zheng X, Kuang Y, Lv W, Cao D, Sun Z, Jin W, Sun X. Quantitative trait loci for morphometric traits in multiple families of common carp (Cyprinus carpio). SCIENCE CHINA-LIFE SCIENCES 2016; 60:287-297. [PMID: 27826895 DOI: 10.1007/s11427-016-0182-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Accepted: 10/08/2016] [Indexed: 11/27/2022]
Abstract
Quantitative trait locus (QTL) mapping is frequently used to understand the genetic architecture of quantitative traits. Herein, we performed a genome scan for QTL affecting the morphometric characters in eight full-sib families containing 522 individuals using different statistical methods (Sib-pair and half-sib model). A total of 194 QTLs were detected in 25 different regions on 10 linkage groups (LGs). Among them, 37 QTLs on five LGs (eight, 13, 24, 40 and 45) were significant (5% genome-wide level), while the remaining 40 (1% chromosome-wide level) and 117 (5% chromosome-wide level) indicated suggestive effect on those traits. Heritabilities for most morphometric traits were moderate to high, ranging from 0.21 to 0.66, with generally strong phenotypic and genetic correlations between the traits. A large number of QTLs for morphometric traits were co-located, consistent with their high correlations, and may reflect pleiotropic effect on the same genes. Biological pathways were mapped for possible candidate genes on QTL regions. One significantly enriched pathway was identified on LG45, which had a P-value of 0.04 and corresponded to the "regulation of actin cytoskeleton pathway". The results are expected to be useful in marker-assisted selection (MAS) and provide valuable information for the study of gene pathway for morphometric and growth traits of the common carp.
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Affiliation(s)
- Xianhu Zheng
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, China
| | - Youyi Kuang
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, China
| | - Weihua Lv
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, China
- College of Life Science, Northeast Agricultural University, Harbin, 150030, China
| | - Dingchen Cao
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, China
| | - Zhipeng Sun
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, China
| | - Wu Jin
- Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, 214081, China
| | - Xiaowen Sun
- Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, China.
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