Cargando…
Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers
Transposable elements (TEs), are a rich source for molecular marker development as they constitute a significant fraction of the eukaryotic genome and impact the overall genome structure. Here, we utilize Mutator-based transposon display (Mu-TD), and CACTA-derived sequence-characterized amplified re...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198908/ https://www.ncbi.nlm.nih.gov/pubmed/30369821 http://dx.doi.org/10.1270/jsbbs.18017 |
_version_ | 1783365041699946496 |
---|---|
author | Ramekar, Rahul Vasudeo Sa, Kyu Jin Park, Kyong-Cheul Roy, Neha Kim, Nam-Soo Lee, Ju Kyong |
author_facet | Ramekar, Rahul Vasudeo Sa, Kyu Jin Park, Kyong-Cheul Roy, Neha Kim, Nam-Soo Lee, Ju Kyong |
author_sort | Ramekar, Rahul Vasudeo |
collection | PubMed |
description | Transposable elements (TEs), are a rich source for molecular marker development as they constitute a significant fraction of the eukaryotic genome and impact the overall genome structure. Here, we utilize Mutator-based transposon display (Mu-TD), and CACTA-derived sequence-characterized amplified regions (SCAR) anchored by simple sequence repeats and single nucleotide polymorphisms to locate quantitative trait loci (QTLs) linked to agriculturally important traits on a genetic map. Specifically, we studied recombinant inbred line populations derived from a cross between dent corn and waxy corn. The resulting linkage map included 259 Mu-anchored fragments, 34 SCARs, and 614 SSR markers distributed throughout the ten maize chromosomes. Linkage analysis revealed three SNP loci associated with kernel starch synthesis genes (sh2, su1, wx1) linked to either Mu-TD loci or SSR markers, which may be useful for maize breeding programs. In addition, we used QTL analysis to determine the chromosomal location of traits related to grain yield and kernel quality. We identified 24 QTLs associated with nine traits located on nine out of ten maize chromosomes. Among these, 13 QTLs involved Mu loci and two involved SCARs. This study demonstrates the potential use of DNA transposon-based markers to construct linkage maps and identify QTLs linked to agronomic traits. |
format | Online Article Text |
id | pubmed-6198908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-61989082018-10-26 Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers Ramekar, Rahul Vasudeo Sa, Kyu Jin Park, Kyong-Cheul Roy, Neha Kim, Nam-Soo Lee, Ju Kyong Breed Sci Research Paper Transposable elements (TEs), are a rich source for molecular marker development as they constitute a significant fraction of the eukaryotic genome and impact the overall genome structure. Here, we utilize Mutator-based transposon display (Mu-TD), and CACTA-derived sequence-characterized amplified regions (SCAR) anchored by simple sequence repeats and single nucleotide polymorphisms to locate quantitative trait loci (QTLs) linked to agriculturally important traits on a genetic map. Specifically, we studied recombinant inbred line populations derived from a cross between dent corn and waxy corn. The resulting linkage map included 259 Mu-anchored fragments, 34 SCARs, and 614 SSR markers distributed throughout the ten maize chromosomes. Linkage analysis revealed three SNP loci associated with kernel starch synthesis genes (sh2, su1, wx1) linked to either Mu-TD loci or SSR markers, which may be useful for maize breeding programs. In addition, we used QTL analysis to determine the chromosomal location of traits related to grain yield and kernel quality. We identified 24 QTLs associated with nine traits located on nine out of ten maize chromosomes. Among these, 13 QTLs involved Mu loci and two involved SCARs. This study demonstrates the potential use of DNA transposon-based markers to construct linkage maps and identify QTLs linked to agronomic traits. Japanese Society of Breeding 2018-09 2018-08-23 /pmc/articles/PMC6198908/ /pubmed/30369821 http://dx.doi.org/10.1270/jsbbs.18017 Text en Copyright © 2018 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Ramekar, Rahul Vasudeo Sa, Kyu Jin Park, Kyong-Cheul Roy, Neha Kim, Nam-Soo Lee, Ju Kyong Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers |
title | Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers |
title_full | Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers |
title_fullStr | Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers |
title_full_unstemmed | Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers |
title_short | Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers |
title_sort | construction of genetic linkage map and identification of qtls related to agronomic traits in maize using dna transposon-based markers |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198908/ https://www.ncbi.nlm.nih.gov/pubmed/30369821 http://dx.doi.org/10.1270/jsbbs.18017 |
work_keys_str_mv | AT ramekarrahulvasudeo constructionofgeneticlinkagemapandidentificationofqtlsrelatedtoagronomictraitsinmaizeusingdnatransposonbasedmarkers AT sakyujin constructionofgeneticlinkagemapandidentificationofqtlsrelatedtoagronomictraitsinmaizeusingdnatransposonbasedmarkers AT parkkyongcheul constructionofgeneticlinkagemapandidentificationofqtlsrelatedtoagronomictraitsinmaizeusingdnatransposonbasedmarkers AT royneha constructionofgeneticlinkagemapandidentificationofqtlsrelatedtoagronomictraitsinmaizeusingdnatransposonbasedmarkers AT kimnamsoo constructionofgeneticlinkagemapandidentificationofqtlsrelatedtoagronomictraitsinmaizeusingdnatransposonbasedmarkers AT leejukyong constructionofgeneticlinkagemapandidentificationofqtlsrelatedtoagronomictraitsinmaizeusingdnatransposonbasedmarkers |