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SINE jumping contributes to large-scale polymorphisms in the pig genomes

BACKGROUND: Molecular markers based on retrotransposon insertion polymorphisms (RIPs) have been developed and are widely used in plants and animals. Short interspersed nuclear elements (SINEs) exert wide impacts on gene activity and even on phenotypes. However, SINE RIP profiles in livestock remain...

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Autores principales: Chen, Cai, D’Alessandro, Enrico, Murani, Eduard, Zheng, Yao, Giosa, Domenico, Yang, Naisu, Wang, Xiaoyan, Gao, Bo, Li, Kui, Wimmers, Klaus, Song, Chengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240389/
https://www.ncbi.nlm.nih.gov/pubmed/34183049
http://dx.doi.org/10.1186/s13100-021-00246-y
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author Chen, Cai
D’Alessandro, Enrico
Murani, Eduard
Zheng, Yao
Giosa, Domenico
Yang, Naisu
Wang, Xiaoyan
Gao, Bo
Li, Kui
Wimmers, Klaus
Song, Chengyi
author_facet Chen, Cai
D’Alessandro, Enrico
Murani, Eduard
Zheng, Yao
Giosa, Domenico
Yang, Naisu
Wang, Xiaoyan
Gao, Bo
Li, Kui
Wimmers, Klaus
Song, Chengyi
author_sort Chen, Cai
collection PubMed
description BACKGROUND: Molecular markers based on retrotransposon insertion polymorphisms (RIPs) have been developed and are widely used in plants and animals. Short interspersed nuclear elements (SINEs) exert wide impacts on gene activity and even on phenotypes. However, SINE RIP profiles in livestock remain largely unknown, and not be revealed in pigs. RESULTS: Our data revealed that SINEA1 displayed the most polymorphic insertions (22.5 % intragenic and 26.5 % intergenic), followed by SINEA2 (10.5 % intragenic and 9 % intergenic) and SINEA3 (12.5 % intragenic and 5.0 % intergenic). We developed a genome-wide SINE RIP mining protocol and obtained a large number of SINE RIPs (36,284), with over 80 % accuracy and an even distribution in chromosomes (14.5/Mb), and 74.34 % of SINE RIPs generated by SINEA1 element. Over 65 % of pig SINE RIPs overlap with genes, most of them (> 95 %) are in introns. Overall, about one forth (23.09 %) of the total genes contain SINE RIPs. Significant biases of SINE RIPs in the transcripts of protein coding genes were observed. Nearly half of the RIPs are common in these pig breeds. Sixteen SINE RIPs were applied for population genetic analysis in 23 pig breeds, the phylogeny tree and cluster analysis were generally consistent with the geographical distributions of native pig breeds in China. CONCLUSIONS: Our analysis revealed that SINEA1–3 elements, particularly SINEA1, are high polymorphic across different pig breeds, and generate large-scale structural variations in the pig genomes. And over 35,000 SINE RIP markers were obtained. These data indicate that young SINE elements play important roles in creating new genetic variations and shaping the evolution of pig genome, and also provide strong evidences to support the great potential of SINE RIPs as genetic markers, which can be used for population genetic analysis and quantitative trait locus (QTL) mapping in pig. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13100-021-00246-y.
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spelling pubmed-82403892021-06-30 SINE jumping contributes to large-scale polymorphisms in the pig genomes Chen, Cai D’Alessandro, Enrico Murani, Eduard Zheng, Yao Giosa, Domenico Yang, Naisu Wang, Xiaoyan Gao, Bo Li, Kui Wimmers, Klaus Song, Chengyi Mob DNA Research BACKGROUND: Molecular markers based on retrotransposon insertion polymorphisms (RIPs) have been developed and are widely used in plants and animals. Short interspersed nuclear elements (SINEs) exert wide impacts on gene activity and even on phenotypes. However, SINE RIP profiles in livestock remain largely unknown, and not be revealed in pigs. RESULTS: Our data revealed that SINEA1 displayed the most polymorphic insertions (22.5 % intragenic and 26.5 % intergenic), followed by SINEA2 (10.5 % intragenic and 9 % intergenic) and SINEA3 (12.5 % intragenic and 5.0 % intergenic). We developed a genome-wide SINE RIP mining protocol and obtained a large number of SINE RIPs (36,284), with over 80 % accuracy and an even distribution in chromosomes (14.5/Mb), and 74.34 % of SINE RIPs generated by SINEA1 element. Over 65 % of pig SINE RIPs overlap with genes, most of them (> 95 %) are in introns. Overall, about one forth (23.09 %) of the total genes contain SINE RIPs. Significant biases of SINE RIPs in the transcripts of protein coding genes were observed. Nearly half of the RIPs are common in these pig breeds. Sixteen SINE RIPs were applied for population genetic analysis in 23 pig breeds, the phylogeny tree and cluster analysis were generally consistent with the geographical distributions of native pig breeds in China. CONCLUSIONS: Our analysis revealed that SINEA1–3 elements, particularly SINEA1, are high polymorphic across different pig breeds, and generate large-scale structural variations in the pig genomes. And over 35,000 SINE RIP markers were obtained. These data indicate that young SINE elements play important roles in creating new genetic variations and shaping the evolution of pig genome, and also provide strong evidences to support the great potential of SINE RIPs as genetic markers, which can be used for population genetic analysis and quantitative trait locus (QTL) mapping in pig. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13100-021-00246-y. BioMed Central 2021-06-28 /pmc/articles/PMC8240389/ /pubmed/34183049 http://dx.doi.org/10.1186/s13100-021-00246-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Cai
D’Alessandro, Enrico
Murani, Eduard
Zheng, Yao
Giosa, Domenico
Yang, Naisu
Wang, Xiaoyan
Gao, Bo
Li, Kui
Wimmers, Klaus
Song, Chengyi
SINE jumping contributes to large-scale polymorphisms in the pig genomes
title SINE jumping contributes to large-scale polymorphisms in the pig genomes
title_full SINE jumping contributes to large-scale polymorphisms in the pig genomes
title_fullStr SINE jumping contributes to large-scale polymorphisms in the pig genomes
title_full_unstemmed SINE jumping contributes to large-scale polymorphisms in the pig genomes
title_short SINE jumping contributes to large-scale polymorphisms in the pig genomes
title_sort sine jumping contributes to large-scale polymorphisms in the pig genomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240389/
https://www.ncbi.nlm.nih.gov/pubmed/34183049
http://dx.doi.org/10.1186/s13100-021-00246-y
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