Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.
BMC Genomics
; 23(1): 680, 2022 Oct 03.
Article
em En
| MEDLINE
| ID: mdl-36192697
ABSTRACT
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 ANDCONCLUSIONS:
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 wellknown functionally described genes as well as numerous putative novels candidate genes in common bean, Arabidopsis and soybean genomes.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Phaseolus
/
Locos de Características Quantitativas
Tipo de estudo:
Prognostic_studies
/
Systematic_reviews
Idioma:
En
Revista:
BMC Genomics
Assunto da revista:
GENETICA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Irã