Cargando…

Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis

Tassel branch number is an important agronomic trait that is closely associated with maize kernels and yield. The regulation of genes associated with tassel branch development can provide a theoretical basis for analyzing tassel branch growth and improving maize yield. In this study. we used two hig...

Descripción completa

Detalles Bibliográficos
Autores principales: Ruidong, Sun, Shijin, He, Yuwei, Qi, Yimeng, Li, Xiaohang, Zhou, Ying, Liu, Xihang, Liu, Mingyang, Ding, Xiangling, Lv, Fenghai, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460468/
https://www.ncbi.nlm.nih.gov/pubmed/37641589
http://dx.doi.org/10.3389/fpls.2023.1202755
_version_ 1785097650720210944
author Ruidong, Sun
Shijin, He
Yuwei, Qi
Yimeng, Li
Xiaohang, Zhou
Ying, Liu
Xihang, Liu
Mingyang, Ding
Xiangling, Lv
Fenghai, Li
author_facet Ruidong, Sun
Shijin, He
Yuwei, Qi
Yimeng, Li
Xiaohang, Zhou
Ying, Liu
Xihang, Liu
Mingyang, Ding
Xiangling, Lv
Fenghai, Li
author_sort Ruidong, Sun
collection PubMed
description Tassel branch number is an important agronomic trait that is closely associated with maize kernels and yield. The regulation of genes associated with tassel branch development can provide a theoretical basis for analyzing tassel branch growth and improving maize yield. In this study. we used two high-generation sister maize lines, PCU (unbranched) and PCM (multiple-branched), to construct an F(2) population comprising 190 individuals, which were genotyped and mapped using the Maize6H-60K single-nucleotide polymorphism array. Candidate genes associated with tassel development were subsequently identified by analyzing samples collected at three stages of tassel growth via RNA-seq. A total of 13 quantitative trait loci (QTLs) and 22 quantitative trait nucleotides (QTNs) associated with tassel branch number (TBN) were identified, among which, two major QTLs, qTBN6.06-1 and qTBN6.06-2, on chromosome 6 were identified in two progeny populations, accounting for 15.07% to 37.64% of the phenotypic variation. Moreover, we identified 613 genes that were differentially expressed between PCU and PCM, which, according to Kyoto Encyclopedia of Genes and Genomes enrichment analysis, were enriched in amino acid metabolism and plant signal transduction pathways. Additionally, we established that the phytohormone content of Stage I tassels and the levels of indole-3-acetic acid (IAA) and IAA-glucose were higher in PCU than in PCM plants, whereas contrastingly, the levels of 5-deoxymonopolyl alcohol in PCM were higher than those in PCU. On the basis of these findings, we speculate that differences in TBN may be related to hormone content. Collectively, by combining QTL mapping and RNA-seq analysis, we identified five candidate genes associated with TBN. This study provides theoretical insights into the mechanism of tassel branch development in maize.
format Online
Article
Text
id pubmed-10460468
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-104604682023-08-28 Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis Ruidong, Sun Shijin, He Yuwei, Qi Yimeng, Li Xiaohang, Zhou Ying, Liu Xihang, Liu Mingyang, Ding Xiangling, Lv Fenghai, Li Front Plant Sci Plant Science Tassel branch number is an important agronomic trait that is closely associated with maize kernels and yield. The regulation of genes associated with tassel branch development can provide a theoretical basis for analyzing tassel branch growth and improving maize yield. In this study. we used two high-generation sister maize lines, PCU (unbranched) and PCM (multiple-branched), to construct an F(2) population comprising 190 individuals, which were genotyped and mapped using the Maize6H-60K single-nucleotide polymorphism array. Candidate genes associated with tassel development were subsequently identified by analyzing samples collected at three stages of tassel growth via RNA-seq. A total of 13 quantitative trait loci (QTLs) and 22 quantitative trait nucleotides (QTNs) associated with tassel branch number (TBN) were identified, among which, two major QTLs, qTBN6.06-1 and qTBN6.06-2, on chromosome 6 were identified in two progeny populations, accounting for 15.07% to 37.64% of the phenotypic variation. Moreover, we identified 613 genes that were differentially expressed between PCU and PCM, which, according to Kyoto Encyclopedia of Genes and Genomes enrichment analysis, were enriched in amino acid metabolism and plant signal transduction pathways. Additionally, we established that the phytohormone content of Stage I tassels and the levels of indole-3-acetic acid (IAA) and IAA-glucose were higher in PCU than in PCM plants, whereas contrastingly, the levels of 5-deoxymonopolyl alcohol in PCM were higher than those in PCU. On the basis of these findings, we speculate that differences in TBN may be related to hormone content. Collectively, by combining QTL mapping and RNA-seq analysis, we identified five candidate genes associated with TBN. This study provides theoretical insights into the mechanism of tassel branch development in maize. Frontiers Media S.A. 2023-08-13 /pmc/articles/PMC10460468/ /pubmed/37641589 http://dx.doi.org/10.3389/fpls.2023.1202755 Text en Copyright © 2023 Ruidong, Shijin, Yuwei, Yimeng, Xiaohang, Ying, Xihang, Mingyang, Xiangling and Fenghai https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Ruidong, Sun
Shijin, He
Yuwei, Qi
Yimeng, Li
Xiaohang, Zhou
Ying, Liu
Xihang, Liu
Mingyang, Ding
Xiangling, Lv
Fenghai, Li
Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis
title Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis
title_full Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis
title_fullStr Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis
title_full_unstemmed Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis
title_short Identification of QTLs and their candidate genes for the number of maize tassel branches in F(2) from two higher generation sister lines using QTL mapping and RNA-seq analysis
title_sort identification of qtls and their candidate genes for the number of maize tassel branches in f(2) from two higher generation sister lines using qtl mapping and rna-seq analysis
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460468/
https://www.ncbi.nlm.nih.gov/pubmed/37641589
http://dx.doi.org/10.3389/fpls.2023.1202755
work_keys_str_mv AT ruidongsun identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT shijinhe identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT yuweiqi identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT yimengli identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT xiaohangzhou identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT yingliu identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT xihangliu identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT mingyangding identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT xianglinglv identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis
AT fenghaili identificationofqtlsandtheircandidategenesforthenumberofmaizetasselbranchesinf2fromtwohighergenerationsisterlinesusingqtlmappingandrnaseqanalysis