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Genome-wide association study and high-quality gene mining related to soybean protein and fat

BACKGROUND: Soybean is one of the most important oil crops in the world, and its protein and fat are the primary sources of edible oil and vegetable protein. The effective components in soybean protein and fat have positive effects on improving human immunity, anti-tumor, and regulating blood lipids...

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Autores principales: Zhang, Qi, Sun, Tingting, Wang, Jiabao, Fei, JianBo, Liu, Yufu, Liu, Lu, Wang, Peiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559447/
https://www.ncbi.nlm.nih.gov/pubmed/37805454
http://dx.doi.org/10.1186/s12864-023-09687-6
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author Zhang, Qi
Sun, Tingting
Wang, Jiabao
Fei, JianBo
Liu, Yufu
Liu, Lu
Wang, Peiwu
author_facet Zhang, Qi
Sun, Tingting
Wang, Jiabao
Fei, JianBo
Liu, Yufu
Liu, Lu
Wang, Peiwu
author_sort Zhang, Qi
collection PubMed
description BACKGROUND: Soybean is one of the most important oil crops in the world, and its protein and fat are the primary sources of edible oil and vegetable protein. The effective components in soybean protein and fat have positive effects on improving human immunity, anti-tumor, and regulating blood lipids and metabolism. Therefore, increasing the contents of protein and fat in soybeans is essential for improving the quality of soybeans. RESULTS: This study selected 292 soybean lines from different regions as experimental materials, based on SLAF-seq sequencing technology, and performed genome-wide association study (GWAS) on the phenotype data from 2019–2021 Planted at the experimental base of Jilin Agricultural University, such as the contents of protein and fat of soybeans. Through the GLM model and MLM model, four SNP sites (Gm09_39012959, Gm12_35492373, Gm16_9297124, and Gm20_24678362) that were significantly related to soybean fat content were associated for three consecutive years, and two SNP sites (Gm09_39012959 and Gm20_24678362) that were significantly related to soybean protein content were associated. By the annotation and enrichment of genes within the 100 Kb region of SNP loci flanking, two genes (Glyma.09G158100 and Glyma.09G158200) related to soybean protein synthesis and one gene (Glyma.12G180200) related to lipid metabolism were selected. By the preliminary verification of expression levels of genes with qPCR, it is found that during the periods of R6 and R7 of the accumulation of soybean protein and fat, Glyma.09G158100 and Glyma.09G158200 are positive regulatory genes that promote protein synthesis and accumulation, while Glyma.12G180200 is the negative regulatory gene that inhibits fat accumulation. CONCLUSIONS: These results lay the basis for further verifying the gene function and studying the molecular mechanisms regulating the accumulation of protein and fat in soybean seeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09687-6.
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spelling pubmed-105594472023-10-08 Genome-wide association study and high-quality gene mining related to soybean protein and fat Zhang, Qi Sun, Tingting Wang, Jiabao Fei, JianBo Liu, Yufu Liu, Lu Wang, Peiwu BMC Genomics Research BACKGROUND: Soybean is one of the most important oil crops in the world, and its protein and fat are the primary sources of edible oil and vegetable protein. The effective components in soybean protein and fat have positive effects on improving human immunity, anti-tumor, and regulating blood lipids and metabolism. Therefore, increasing the contents of protein and fat in soybeans is essential for improving the quality of soybeans. RESULTS: This study selected 292 soybean lines from different regions as experimental materials, based on SLAF-seq sequencing technology, and performed genome-wide association study (GWAS) on the phenotype data from 2019–2021 Planted at the experimental base of Jilin Agricultural University, such as the contents of protein and fat of soybeans. Through the GLM model and MLM model, four SNP sites (Gm09_39012959, Gm12_35492373, Gm16_9297124, and Gm20_24678362) that were significantly related to soybean fat content were associated for three consecutive years, and two SNP sites (Gm09_39012959 and Gm20_24678362) that were significantly related to soybean protein content were associated. By the annotation and enrichment of genes within the 100 Kb region of SNP loci flanking, two genes (Glyma.09G158100 and Glyma.09G158200) related to soybean protein synthesis and one gene (Glyma.12G180200) related to lipid metabolism were selected. By the preliminary verification of expression levels of genes with qPCR, it is found that during the periods of R6 and R7 of the accumulation of soybean protein and fat, Glyma.09G158100 and Glyma.09G158200 are positive regulatory genes that promote protein synthesis and accumulation, while Glyma.12G180200 is the negative regulatory gene that inhibits fat accumulation. CONCLUSIONS: These results lay the basis for further verifying the gene function and studying the molecular mechanisms regulating the accumulation of protein and fat in soybean seeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09687-6. BioMed Central 2023-10-07 /pmc/articles/PMC10559447/ /pubmed/37805454 http://dx.doi.org/10.1186/s12864-023-09687-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (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
Zhang, Qi
Sun, Tingting
Wang, Jiabao
Fei, JianBo
Liu, Yufu
Liu, Lu
Wang, Peiwu
Genome-wide association study and high-quality gene mining related to soybean protein and fat
title Genome-wide association study and high-quality gene mining related to soybean protein and fat
title_full Genome-wide association study and high-quality gene mining related to soybean protein and fat
title_fullStr Genome-wide association study and high-quality gene mining related to soybean protein and fat
title_full_unstemmed Genome-wide association study and high-quality gene mining related to soybean protein and fat
title_short Genome-wide association study and high-quality gene mining related to soybean protein and fat
title_sort genome-wide association study and high-quality gene mining related to soybean protein and fat
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559447/
https://www.ncbi.nlm.nih.gov/pubmed/37805454
http://dx.doi.org/10.1186/s12864-023-09687-6
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