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Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis
Fenneropenaeus chinensis is one of the most important aquaculture species in China. Research on its genomic and genetic structure not only helps us comprehend the genetic basis of complex economic traits, but also offers theoretical guidance in selective breeding. In the present study, a genome surv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024304/ https://www.ncbi.nlm.nih.gov/pubmed/33824386 http://dx.doi.org/10.1038/s41598-021-87237-4 |
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author | Meng, Xianhong Fu, Qiang Luan, Sheng Luo, Kun Sui, Juan Kong, Jie |
author_facet | Meng, Xianhong Fu, Qiang Luan, Sheng Luo, Kun Sui, Juan Kong, Jie |
author_sort | Meng, Xianhong |
collection | PubMed |
description | Fenneropenaeus chinensis is one of the most important aquaculture species in China. Research on its genomic and genetic structure not only helps us comprehend the genetic basis of complex economic traits, but also offers theoretical guidance in selective breeding. In the present study, a genome survey sequencing was performed to generate a rough reference genome utilized for groping preliminary genome characteristics and facilitate linkage and quantitative trait locus (QTL) mapping. Linkage mapping was conducted using a reduced-representation sequencing method 2b-RAD. In total, 36,762 SNPs were genotyped from 273 progenies in a mapping family, and a high-resolution linkage map was constructed. The consensus map contained 12,884 markers and spanned 5257.81 cM with an average marker interval of 0.41 cM, which was the first high-resolution genetic map in F. chinensis to our knowledge. QTL mapping and association analysis were carried out in 29 characters including body size, sex and disease resistance. 87 significant QTLs were detected in several traits and they were also evaluated by association analysis. Results of this study provide us valuable suggestions in genetic improvement and breeding of new varieties and also lay a basic foundation for further application of cloning of economic genes in selective breeding program and marker-assisted selection. |
format | Online Article Text |
id | pubmed-8024304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80243042021-04-08 Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis Meng, Xianhong Fu, Qiang Luan, Sheng Luo, Kun Sui, Juan Kong, Jie Sci Rep Article Fenneropenaeus chinensis is one of the most important aquaculture species in China. Research on its genomic and genetic structure not only helps us comprehend the genetic basis of complex economic traits, but also offers theoretical guidance in selective breeding. In the present study, a genome survey sequencing was performed to generate a rough reference genome utilized for groping preliminary genome characteristics and facilitate linkage and quantitative trait locus (QTL) mapping. Linkage mapping was conducted using a reduced-representation sequencing method 2b-RAD. In total, 36,762 SNPs were genotyped from 273 progenies in a mapping family, and a high-resolution linkage map was constructed. The consensus map contained 12,884 markers and spanned 5257.81 cM with an average marker interval of 0.41 cM, which was the first high-resolution genetic map in F. chinensis to our knowledge. QTL mapping and association analysis were carried out in 29 characters including body size, sex and disease resistance. 87 significant QTLs were detected in several traits and they were also evaluated by association analysis. Results of this study provide us valuable suggestions in genetic improvement and breeding of new varieties and also lay a basic foundation for further application of cloning of economic genes in selective breeding program and marker-assisted selection. Nature Publishing Group UK 2021-04-06 /pmc/articles/PMC8024304/ /pubmed/33824386 http://dx.doi.org/10.1038/s41598-021-87237-4 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Meng, Xianhong Fu, Qiang Luan, Sheng Luo, Kun Sui, Juan Kong, Jie Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis |
title | Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis |
title_full | Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis |
title_fullStr | Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis |
title_full_unstemmed | Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis |
title_short | Genome survey and high-resolution genetic map provide valuable genetic resources for Fenneropenaeus chinensis |
title_sort | genome survey and high-resolution genetic map provide valuable genetic resources for fenneropenaeus chinensis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024304/ https://www.ncbi.nlm.nih.gov/pubmed/33824386 http://dx.doi.org/10.1038/s41598-021-87237-4 |
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