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High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS)
Over 6% of agricultural land is affected by salinity. It is becoming obligatory to use saline soils, so growing salt-tolerant plants is a priority. To gain an understanding of the genetic basis of upland cotton tolerance to salinity at seedling stage, an intra-specific cross was developed from CCRI3...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751225/ https://www.ncbi.nlm.nih.gov/pubmed/29206184 http://dx.doi.org/10.3390/ijms18122622 |
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author | Diouf, Latyr Pan, Zhaoe He, Shou-Pu Gong, Wen-Fang Jia, Yin Hua Magwanga, Richard Odongo Romy, Kimbembe Romesh Eric or Rashid, Harun Kirungu, Joy Nyangasi Du, Xiongming |
author_facet | Diouf, Latyr Pan, Zhaoe He, Shou-Pu Gong, Wen-Fang Jia, Yin Hua Magwanga, Richard Odongo Romy, Kimbembe Romesh Eric or Rashid, Harun Kirungu, Joy Nyangasi Du, Xiongming |
author_sort | Diouf, Latyr |
collection | PubMed |
description | Over 6% of agricultural land is affected by salinity. It is becoming obligatory to use saline soils, so growing salt-tolerant plants is a priority. To gain an understanding of the genetic basis of upland cotton tolerance to salinity at seedling stage, an intra-specific cross was developed from CCRI35, tolerant to salinity, as female with Nan Dan (NH), sensitive to salinity, as the male. A genetic map of 5178 SNP markers was developed from 277 F(2:3) populations. The map spanned 4768.098 cM, with an average distance of 0.92 cM. A total of 66 QTLs for 10 traits related to salinity were detected in three environments (0, 110, and 150 mM salt treatment). Only 14 QTLs were consistent, accounting for 2.72% to 9.87% of phenotypic variation. Parental contributions were found to be in the ratio of 3:1, 10 QTLs from the sensitive and four QTLs from the resistant parent. Five QTLs were located in A(t) and nine QTLs in the D(t) sub-genome. Moreover, eight clusters were identified, in which 12 putative key genes were found to be related to salinity. The GBS-SNPs-based genetic map developed is the first high-density genetic map that has the potential to provide deeper insights into upland cotton salinity tolerance. The 12 key genes found in this study could be used for QTL fine mapping and cloning for further studies. |
format | Online Article Text |
id | pubmed-5751225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57512252018-01-08 High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) Diouf, Latyr Pan, Zhaoe He, Shou-Pu Gong, Wen-Fang Jia, Yin Hua Magwanga, Richard Odongo Romy, Kimbembe Romesh Eric or Rashid, Harun Kirungu, Joy Nyangasi Du, Xiongming Int J Mol Sci Article Over 6% of agricultural land is affected by salinity. It is becoming obligatory to use saline soils, so growing salt-tolerant plants is a priority. To gain an understanding of the genetic basis of upland cotton tolerance to salinity at seedling stage, an intra-specific cross was developed from CCRI35, tolerant to salinity, as female with Nan Dan (NH), sensitive to salinity, as the male. A genetic map of 5178 SNP markers was developed from 277 F(2:3) populations. The map spanned 4768.098 cM, with an average distance of 0.92 cM. A total of 66 QTLs for 10 traits related to salinity were detected in three environments (0, 110, and 150 mM salt treatment). Only 14 QTLs were consistent, accounting for 2.72% to 9.87% of phenotypic variation. Parental contributions were found to be in the ratio of 3:1, 10 QTLs from the sensitive and four QTLs from the resistant parent. Five QTLs were located in A(t) and nine QTLs in the D(t) sub-genome. Moreover, eight clusters were identified, in which 12 putative key genes were found to be related to salinity. The GBS-SNPs-based genetic map developed is the first high-density genetic map that has the potential to provide deeper insights into upland cotton salinity tolerance. The 12 key genes found in this study could be used for QTL fine mapping and cloning for further studies. MDPI 2017-12-05 /pmc/articles/PMC5751225/ /pubmed/29206184 http://dx.doi.org/10.3390/ijms18122622 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Diouf, Latyr Pan, Zhaoe He, Shou-Pu Gong, Wen-Fang Jia, Yin Hua Magwanga, Richard Odongo Romy, Kimbembe Romesh Eric or Rashid, Harun Kirungu, Joy Nyangasi Du, Xiongming High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) |
title | High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) |
title_full | High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) |
title_fullStr | High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) |
title_full_unstemmed | High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) |
title_short | High-Density Linkage Map Construction and Mapping of Salt-Tolerant QTLs at Seedling Stage in Upland Cotton Using Genotyping by Sequencing (GBS) |
title_sort | high-density linkage map construction and mapping of salt-tolerant qtls at seedling stage in upland cotton using genotyping by sequencing (gbs) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751225/ https://www.ncbi.nlm.nih.gov/pubmed/29206184 http://dx.doi.org/10.3390/ijms18122622 |
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