Cargando…

QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean

This study aimed to discover the quantitative trait loci (QTL) associated with a high seed protein content in soybean and unravel the potential candidate genes. We developed two recombinant inbred line populations: YS and SI, by crossing Saedanbaek (high protein) with YS2035-B-91-1-B-1 (low protein)...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Hye Rang, Seo, Jeong Hyun, Kang, Beom Kyu, Kim, Jun Hoi, Heo, Su Vin, Choi, Man Soo, Ko, Jee Yeon, Kim, Choon Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610525/
https://www.ncbi.nlm.nih.gov/pubmed/37896053
http://dx.doi.org/10.3390/plants12203589
_version_ 1785128276072595456
author Park, Hye Rang
Seo, Jeong Hyun
Kang, Beom Kyu
Kim, Jun Hoi
Heo, Su Vin
Choi, Man Soo
Ko, Jee Yeon
Kim, Choon Song
author_facet Park, Hye Rang
Seo, Jeong Hyun
Kang, Beom Kyu
Kim, Jun Hoi
Heo, Su Vin
Choi, Man Soo
Ko, Jee Yeon
Kim, Choon Song
author_sort Park, Hye Rang
collection PubMed
description This study aimed to discover the quantitative trait loci (QTL) associated with a high seed protein content in soybean and unravel the potential candidate genes. We developed two recombinant inbred line populations: YS and SI, by crossing Saedanbaek (high protein) with YS2035-B-91-1-B-1 (low protein) and Saedanbaek with Ilmi (low protein), respectively, and evaluated the protein content for three consecutive years. Using single-nucleotide polymorphism (SNP)-marker-based linkage maps, four QTLs were located on chromosomes 15, 18, and 20 with high logarithm of odds values (5.9–55.0), contributing 5.5–66.0% phenotypic variance. In all three experimental years, qPSD20-1 and qPSD20-2 were stable and identified in overlapping positions in the YS and SI populations, respectively. Additionally, novel QTLs were identified on chromosomes 15 and 18. Considering the allelic sequence variation between parental lines, 28 annotated genes related to soybean seed protein—including starch, lipid, and fatty acid biosynthesis-related genes—were identified within the QTL regions. These genes could potentially affect protein accumulation during seed development, as well as sucrose and oil metabolism. Overall, this study offers insights into the genetic mechanisms underlying a high soybean protein content. The identified potential candidate genes can aid marker-assisted selection for developing soybean lines with an increased protein content.
format Online
Article
Text
id pubmed-10610525
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-106105252023-10-28 QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean Park, Hye Rang Seo, Jeong Hyun Kang, Beom Kyu Kim, Jun Hoi Heo, Su Vin Choi, Man Soo Ko, Jee Yeon Kim, Choon Song Plants (Basel) Article This study aimed to discover the quantitative trait loci (QTL) associated with a high seed protein content in soybean and unravel the potential candidate genes. We developed two recombinant inbred line populations: YS and SI, by crossing Saedanbaek (high protein) with YS2035-B-91-1-B-1 (low protein) and Saedanbaek with Ilmi (low protein), respectively, and evaluated the protein content for three consecutive years. Using single-nucleotide polymorphism (SNP)-marker-based linkage maps, four QTLs were located on chromosomes 15, 18, and 20 with high logarithm of odds values (5.9–55.0), contributing 5.5–66.0% phenotypic variance. In all three experimental years, qPSD20-1 and qPSD20-2 were stable and identified in overlapping positions in the YS and SI populations, respectively. Additionally, novel QTLs were identified on chromosomes 15 and 18. Considering the allelic sequence variation between parental lines, 28 annotated genes related to soybean seed protein—including starch, lipid, and fatty acid biosynthesis-related genes—were identified within the QTL regions. These genes could potentially affect protein accumulation during seed development, as well as sucrose and oil metabolism. Overall, this study offers insights into the genetic mechanisms underlying a high soybean protein content. The identified potential candidate genes can aid marker-assisted selection for developing soybean lines with an increased protein content. MDPI 2023-10-16 /pmc/articles/PMC10610525/ /pubmed/37896053 http://dx.doi.org/10.3390/plants12203589 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Hye Rang
Seo, Jeong Hyun
Kang, Beom Kyu
Kim, Jun Hoi
Heo, Su Vin
Choi, Man Soo
Ko, Jee Yeon
Kim, Choon Song
QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
title QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
title_full QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
title_fullStr QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
title_full_unstemmed QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
title_short QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
title_sort qtls and candidate genes for seed protein content in two recombinant inbred line populations of soybean
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610525/
https://www.ncbi.nlm.nih.gov/pubmed/37896053
http://dx.doi.org/10.3390/plants12203589
work_keys_str_mv AT parkhyerang qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT seojeonghyun qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT kangbeomkyu qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT kimjunhoi qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT heosuvin qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT choimansoo qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT kojeeyeon qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean
AT kimchoonsong qtlsandcandidategenesforseedproteincontentintworecombinantinbredlinepopulationsofsoybean