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Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean

BACKGROUND: Common bean (Phaseolus vulgaris) is considered a staple food in a number of developing countries. Several diseases attack the crop leading to substantial economic losses around the globe. However, the crop has rarely been investigated for multiple disease resistance traits using Meta-ana...

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Autores principales: Rahmanzadeh, Asma, Khahani, Bahman, Taghavi, S. Mohsen, Khojasteh, Moein, Osdaghi, Ebrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531352/
https://www.ncbi.nlm.nih.gov/pubmed/36192697
http://dx.doi.org/10.1186/s12864-022-08914-w
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author Rahmanzadeh, Asma
Khahani, Bahman
Taghavi, S. Mohsen
Khojasteh, Moein
Osdaghi, Ebrahim
author_facet Rahmanzadeh, Asma
Khahani, Bahman
Taghavi, S. Mohsen
Khojasteh, Moein
Osdaghi, Ebrahim
author_sort Rahmanzadeh, Asma
collection PubMed
description BACKGROUND: Common bean (Phaseolus vulgaris) is considered a staple food in a number of developing countries. Several diseases attack the crop leading to substantial economic losses around the globe. However, the crop has rarely been investigated for multiple disease resistance traits using Meta-analysis approach. RESULTS AND CONCLUSIONS: In this study, in order to identify the most reliable and stable quantitative trait loci (QTL) conveying disease resistance in common bean, we carried out a meta-QTL (MQTL) analysis using 152 QTLs belonging to 44 populations reported in 33 publications within the past 20 years. These QTLs were decreased into nine MQTLs and the average of confidence interval (CI) was reduced by 2.64 folds with an average of 5.12 cM in MQTLs. Uneven distribution of MQTLs across common bean genome was noted where sub-telomeric regions carry most of the corresponding genes and MQTLs. One MQTL was identified to be specifically associated with resistance to halo blight disease caused by the bacterial pathogen Pseudomonas savastanoi pv. phaseolicola, while three and one MQTLs were specifically associated with resistance to white mold and anthracnose caused by the fungal pathogens Sclerotinia sclerotiorum and Colletotrichum lindemuthianum, respectively. Furthermore, two MQTLs were detected governing resistance to halo blight and anthracnose, while two MQTLs were detected for resistance against anthracnose and white mold, suggesting putative genes governing resistance against these diseases at a shared locus. Comparative genomics and synteny analyses provide a valuable strategy to identify a number of well‑known functionally described genes as well as numerous putative novels candidate genes in common bean, Arabidopsis and soybean genomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08914-w.
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spelling pubmed-95313522022-10-05 Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean Rahmanzadeh, Asma Khahani, Bahman Taghavi, S. Mohsen Khojasteh, Moein Osdaghi, Ebrahim BMC Genomics Research BACKGROUND: Common bean (Phaseolus vulgaris) is considered a staple food in a number of developing countries. Several diseases attack the crop leading to substantial economic losses around the globe. However, the crop has rarely been investigated for multiple disease resistance traits using Meta-analysis approach. RESULTS AND CONCLUSIONS: In this study, in order to identify the most reliable and stable quantitative trait loci (QTL) conveying disease resistance in common bean, we carried out a meta-QTL (MQTL) analysis using 152 QTLs belonging to 44 populations reported in 33 publications within the past 20 years. These QTLs were decreased into nine MQTLs and the average of confidence interval (CI) was reduced by 2.64 folds with an average of 5.12 cM in MQTLs. Uneven distribution of MQTLs across common bean genome was noted where sub-telomeric regions carry most of the corresponding genes and MQTLs. One MQTL was identified to be specifically associated with resistance to halo blight disease caused by the bacterial pathogen Pseudomonas savastanoi pv. phaseolicola, while three and one MQTLs were specifically associated with resistance to white mold and anthracnose caused by the fungal pathogens Sclerotinia sclerotiorum and Colletotrichum lindemuthianum, respectively. Furthermore, two MQTLs were detected governing resistance to halo blight and anthracnose, while two MQTLs were detected for resistance against anthracnose and white mold, suggesting putative genes governing resistance against these diseases at a shared locus. Comparative genomics and synteny analyses provide a valuable strategy to identify a number of well‑known functionally described genes as well as numerous putative novels candidate genes in common bean, Arabidopsis and soybean genomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08914-w. BioMed Central 2022-10-03 /pmc/articles/PMC9531352/ /pubmed/36192697 http://dx.doi.org/10.1186/s12864-022-08914-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rahmanzadeh, Asma
Khahani, Bahman
Taghavi, S. Mohsen
Khojasteh, Moein
Osdaghi, Ebrahim
Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
title Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
title_full Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
title_fullStr Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
title_full_unstemmed Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
title_short Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean
title_sort genome-wide meta-qtl analyses provide novel insight into disease resistance repertoires in common bean
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531352/
https://www.ncbi.nlm.nih.gov/pubmed/36192697
http://dx.doi.org/10.1186/s12864-022-08914-w
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