Cargando…
Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches
White mold (WM) is a major disease in common bean (Phaseolus vulgaris L.), and its complex quantitative genetic control limits the development of WM resistant cultivars. WM2.2, one of the nine meta-QTL with a major effect on WM tolerance, explains up to 35% of the phenotypic variation and was previo...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425182/ https://www.ncbi.nlm.nih.gov/pubmed/37583595 http://dx.doi.org/10.3389/fpls.2023.1233285 |
_version_ | 1785089782755360768 |
---|---|
author | Oladzad, Atena Roy, Jayanta Mamidi, Sujan Miklas, Phillip N. Lee, Rian Clevenger, Josh Myers, Zachary Korani, Walid McClean, Phillip E. |
author_facet | Oladzad, Atena Roy, Jayanta Mamidi, Sujan Miklas, Phillip N. Lee, Rian Clevenger, Josh Myers, Zachary Korani, Walid McClean, Phillip E. |
author_sort | Oladzad, Atena |
collection | PubMed |
description | White mold (WM) is a major disease in common bean (Phaseolus vulgaris L.), and its complex quantitative genetic control limits the development of WM resistant cultivars. WM2.2, one of the nine meta-QTL with a major effect on WM tolerance, explains up to 35% of the phenotypic variation and was previously mapped to a large genomic interval on Pv02. Our objective was to narrow the interval of this QTL using combined approach of classic QTL mapping and QTL-based bulk segregant analysis (BSA), and confirming those results with Khufu de novo QTL-seq. The phenotypic and genotypic data from two RIL populations, ‘Raven’/I9365-31 (R31) and ‘AN–37’/PS02–029C–20 (Z0726-9), were used to select resistant and susceptible lines to generate subpopulations for bulk DNA sequencing. The QTL physical interval was determined by considering overlapping interval of the identified QTL or peak region in both populations by three independent QTL mapping analyses. Our findings revealed that meta-QTL WM2.2 consists of three regions, WM2.2a (4.27-5.76 Mb; euchromatic), WM 2.2b (12.19 to 17.61 Mb; heterochromatic), and WM2.2c (23.01-25.74 Mb; heterochromatic) found in both populations. Gene models encoding for gibberellin 2-oxidase 8, pentatricopeptide repeat, and heat-shock proteins are the likely candidate genes associated with WM2.2a resistance. A TIR-NBS-LRR class of disease resistance protein (Phvul.002G09200) and LRR domain containing family proteins are potential candidate genes associated with WM2.2b resistance. Nine gene models encoding disease resistance protein [pathogenesis-related thaumatin superfamily protein and disease resistance-responsive (dirigent-like protein) family protein etc] found within the WM2.2c QTL interval are putative candidate genes. WM2.2a region is most likely associated with avoidance mechanisms while WM2.2b and WM2.2c regions trigger physiological resistance based on putative candidate genes. |
format | Online Article Text |
id | pubmed-10425182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104251822023-08-15 Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches Oladzad, Atena Roy, Jayanta Mamidi, Sujan Miklas, Phillip N. Lee, Rian Clevenger, Josh Myers, Zachary Korani, Walid McClean, Phillip E. Front Plant Sci Plant Science White mold (WM) is a major disease in common bean (Phaseolus vulgaris L.), and its complex quantitative genetic control limits the development of WM resistant cultivars. WM2.2, one of the nine meta-QTL with a major effect on WM tolerance, explains up to 35% of the phenotypic variation and was previously mapped to a large genomic interval on Pv02. Our objective was to narrow the interval of this QTL using combined approach of classic QTL mapping and QTL-based bulk segregant analysis (BSA), and confirming those results with Khufu de novo QTL-seq. The phenotypic and genotypic data from two RIL populations, ‘Raven’/I9365-31 (R31) and ‘AN–37’/PS02–029C–20 (Z0726-9), were used to select resistant and susceptible lines to generate subpopulations for bulk DNA sequencing. The QTL physical interval was determined by considering overlapping interval of the identified QTL or peak region in both populations by three independent QTL mapping analyses. Our findings revealed that meta-QTL WM2.2 consists of three regions, WM2.2a (4.27-5.76 Mb; euchromatic), WM 2.2b (12.19 to 17.61 Mb; heterochromatic), and WM2.2c (23.01-25.74 Mb; heterochromatic) found in both populations. Gene models encoding for gibberellin 2-oxidase 8, pentatricopeptide repeat, and heat-shock proteins are the likely candidate genes associated with WM2.2a resistance. A TIR-NBS-LRR class of disease resistance protein (Phvul.002G09200) and LRR domain containing family proteins are potential candidate genes associated with WM2.2b resistance. Nine gene models encoding disease resistance protein [pathogenesis-related thaumatin superfamily protein and disease resistance-responsive (dirigent-like protein) family protein etc] found within the WM2.2c QTL interval are putative candidate genes. WM2.2a region is most likely associated with avoidance mechanisms while WM2.2b and WM2.2c regions trigger physiological resistance based on putative candidate genes. Frontiers Media S.A. 2023-07-31 /pmc/articles/PMC10425182/ /pubmed/37583595 http://dx.doi.org/10.3389/fpls.2023.1233285 Text en Copyright © 2023 Oladzad, Roy, Mamidi, Miklas, Lee, Clevenger, Myers, Korani and McClean 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 Oladzad, Atena Roy, Jayanta Mamidi, Sujan Miklas, Phillip N. Lee, Rian Clevenger, Josh Myers, Zachary Korani, Walid McClean, Phillip E. Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches |
title | Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches |
title_full | Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches |
title_fullStr | Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches |
title_full_unstemmed | Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches |
title_short | Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches |
title_sort | linked candidate genes of different functions for white mold resistance in common bean (phaseolus vulgaris l) are identified by multiple qtl mapping approaches |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425182/ https://www.ncbi.nlm.nih.gov/pubmed/37583595 http://dx.doi.org/10.3389/fpls.2023.1233285 |
work_keys_str_mv | AT oladzadatena linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT royjayanta linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT mamidisujan linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT miklasphillipn linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT leerian linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT clevengerjosh linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT myerszachary linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT koraniwalid linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches AT mccleanphillipe linkedcandidategenesofdifferentfunctionsforwhitemoldresistanceincommonbeanphaseolusvulgarislareidentifiedbymultipleqtlmappingapproaches |