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Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton

BACKGROUND: The southern root-knot nematode (Meloidogyne incognita; RKN) is one of the most important economic pests of Upland cotton (Gossypium hirsutum L.). Host plant resistance, the ability of a plant to suppress nematode reproduction, is the most economical, practical, and environmentally sound...

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Autores principales: Kumar, Pawan, He, Yajun, Singh, Rippy, Davis, Richard F., Guo, Hui, Paterson, Andrew H., Peterson, Daniel G., Shen, Xinlian, Nichols, Robert L., Chee, Peng W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977665/
https://www.ncbi.nlm.nih.gov/pubmed/27503539
http://dx.doi.org/10.1186/s12864-016-2954-1
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author Kumar, Pawan
He, Yajun
Singh, Rippy
Davis, Richard F.
Guo, Hui
Paterson, Andrew H.
Peterson, Daniel G.
Shen, Xinlian
Nichols, Robert L.
Chee, Peng W.
author_facet Kumar, Pawan
He, Yajun
Singh, Rippy
Davis, Richard F.
Guo, Hui
Paterson, Andrew H.
Peterson, Daniel G.
Shen, Xinlian
Nichols, Robert L.
Chee, Peng W.
author_sort Kumar, Pawan
collection PubMed
description BACKGROUND: The southern root-knot nematode (Meloidogyne incognita; RKN) is one of the most important economic pests of Upland cotton (Gossypium hirsutum L.). Host plant resistance, the ability of a plant to suppress nematode reproduction, is the most economical, practical, and environmentally sound method to provide protection against this subterranean pest. The resistant line Auburn 623RNR and a number of elite breeding lines derived from it remain the most important source of root-knot nematode (RKN) resistance. Prior genetic analysis has identified two epistatically interacting RKN resistance QTLs, qMi-C11 and qMi-C14, affecting gall formation and RKN reproduction, respectively. RESULTS: We developed a genetic population segregating only for the qMi-C14 locus and evaluated the genetic effects of this QTL on RKN resistance in the absence of the qMi-C11 locus. The qMi-C14 locus had a LOD score of 12 and accounted for 24.5 % of total phenotypic variation for egg production. In addition to not being significantly associated with gall formation, this locus had a lower main effect on RKN reproduction than found in our previous study, which lends further support to evidence of epistasis with qMi-C11 in imparting RKN resistance in the Auburn 623RNR source. The locus qMi-C14 was fine-mapped with the addition of 16 newly developed markers. By using the reference genome sequence of G. raimondii, we identified 20 candidate genes encoding disease resistance protein homologs in the newly defined 2.3 Mb region flanked by two SSR markers. Resequencing of an RKN resistant and susceptible G. hirsutum germplasm revealed non-synonymous mutations in only four of the coding regions of candidate genes, and these four genes are consequently of high interest. CONCLUSIONS: Our mapping results validated the effects of the qMi-C14 resistance locus, delimiting the QTL to a smaller region, and identified tightly linked SSR markers to improve the efficiency of marker-assisted selection. The candidate genes identified warrant functional studies that will help in identifying and characterizing the actual qMi-C14 defense gene(s) against root-knot nematodes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2954-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-49776652016-08-10 Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton Kumar, Pawan He, Yajun Singh, Rippy Davis, Richard F. Guo, Hui Paterson, Andrew H. Peterson, Daniel G. Shen, Xinlian Nichols, Robert L. Chee, Peng W. BMC Genomics Research Article BACKGROUND: The southern root-knot nematode (Meloidogyne incognita; RKN) is one of the most important economic pests of Upland cotton (Gossypium hirsutum L.). Host plant resistance, the ability of a plant to suppress nematode reproduction, is the most economical, practical, and environmentally sound method to provide protection against this subterranean pest. The resistant line Auburn 623RNR and a number of elite breeding lines derived from it remain the most important source of root-knot nematode (RKN) resistance. Prior genetic analysis has identified two epistatically interacting RKN resistance QTLs, qMi-C11 and qMi-C14, affecting gall formation and RKN reproduction, respectively. RESULTS: We developed a genetic population segregating only for the qMi-C14 locus and evaluated the genetic effects of this QTL on RKN resistance in the absence of the qMi-C11 locus. The qMi-C14 locus had a LOD score of 12 and accounted for 24.5 % of total phenotypic variation for egg production. In addition to not being significantly associated with gall formation, this locus had a lower main effect on RKN reproduction than found in our previous study, which lends further support to evidence of epistasis with qMi-C11 in imparting RKN resistance in the Auburn 623RNR source. The locus qMi-C14 was fine-mapped with the addition of 16 newly developed markers. By using the reference genome sequence of G. raimondii, we identified 20 candidate genes encoding disease resistance protein homologs in the newly defined 2.3 Mb region flanked by two SSR markers. Resequencing of an RKN resistant and susceptible G. hirsutum germplasm revealed non-synonymous mutations in only four of the coding regions of candidate genes, and these four genes are consequently of high interest. CONCLUSIONS: Our mapping results validated the effects of the qMi-C14 resistance locus, delimiting the QTL to a smaller region, and identified tightly linked SSR markers to improve the efficiency of marker-assisted selection. The candidate genes identified warrant functional studies that will help in identifying and characterizing the actual qMi-C14 defense gene(s) against root-knot nematodes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2954-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-08 /pmc/articles/PMC4977665/ /pubmed/27503539 http://dx.doi.org/10.1186/s12864-016-2954-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kumar, Pawan
He, Yajun
Singh, Rippy
Davis, Richard F.
Guo, Hui
Paterson, Andrew H.
Peterson, Daniel G.
Shen, Xinlian
Nichols, Robert L.
Chee, Peng W.
Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton
title Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton
title_full Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton
title_fullStr Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton
title_full_unstemmed Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton
title_short Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton
title_sort fine mapping and identification of candidate genes for a qtl affecting meloidogyne incognita reproduction in upland cotton
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977665/
https://www.ncbi.nlm.nih.gov/pubmed/27503539
http://dx.doi.org/10.1186/s12864-016-2954-1
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