QTL dissection and mining of candidate genes for Ascochyta fabae and Orobanche crenata resistance in faba bean (Vicia faba L.).

Publication Overview
TitleQTL dissection and mining of candidate genes for Ascochyta fabae and Orobanche crenata resistance in faba bean (Vicia faba L.).
AuthorsGutierrez N, Torres AM
TypeJournal Article
Journal NameBMC plant biology
Volume21
Issue1
Year2021
Page(s)551
CitationGutierrez N, Torres AM. QTL dissection and mining of candidate genes for Ascochyta fabae and Orobanche crenata resistance in faba bean (Vicia faba L.).. BMC plant biology. 2021 Nov 22; 21(1):551.

Abstract

BACKGROUND
Ascochyta blight caused by Ascochyta fabae Speg. and broomrape (Orobanche crenata) are among the economically most significant pathogens of faba bean. Several QTLs conferring resistance against the two pathogens have been identified and validated in different genetic backgrounds. The aim of this study was to saturate the most stable QTLs for ascochyta and broomrape resistance in two Recombinant Inbred Line (RIL) populations, 29H x Vf136 and Vf6 x Vf136, to identify candidate genes conferring resistance against these two pathogens.

RESULTS
We exploited the synteny between faba bean and the model species Medicago truncatula by selecting a set of 219 genes encoding putative WRKY transcription factors and defense related proteins falling within the target QTL intervals, for genotyping and marker saturation in the two RIL populations. Seventy and 50 of the candidate genes could be mapped in 29H x Vf136 and Vf6 x Vf136, respectively. Besides the strong reduction of the QTL intervals, the mapping process allowed replacing previous dominant and pedigree-specific RAPD flanking markers with robust and transferrable SNP markers, revealing promising candidates for resistance against the two pathogens.

CONCLUSIONS
Although further efforts in association mapping and expression studies will be required to corroborate the candidate genes for resistance, the fine-mapping approach proposed here increases the genetic resolution of relevant QTL regions and paves the way for an efficient deployment of useful alleles for faba bean ascochyta and broomrape resistance through marker-assisted breeding.

Features
This publication contains information about 52 features:
Feature NameUniquenameType
BspVf6BspVf6genetic_marker
Medtr1g071510Medtr1g071510genetic_marker
Medtr1g087750Medtr1g087750genetic_marker
Medtr3g082330Medtr3g082330genetic_marker
Medtr3g110065Medtr3g110065genetic_marker
Medtr4g058990Medtr4g058990genetic_marker
Medtr7g066120Medtr7g066120genetic_marker
Medtr7g085240Medtr7g085240genetic_marker
Medtr8g066300Medtr8g066300genetic_marker
OPZ81-ViciaOPZ81-Viciagenetic_marker
OPZ82-ViciaOPZ82-Viciagenetic_marker
Vf_AT_1g68100Vf_AT_1g68100genetic_marker
Vf_Medtr1g086180Vf_Medtr1g086180genetic_marker
Vf_Medtr1g086790Vf_Medtr1g086790genetic_marker
Vf_Medtr1g086820Vf_Medtr1g086820genetic_marker
Vf_Medtr1g086840Vf_Medtr1g086840genetic_marker
Vf_Medtr1g086880Vf_Medtr1g086880genetic_marker
Vf_Medtr1g088540Vf_Medtr1g088540genetic_marker
Vf_Medtr1g088875Vf_Medtr1g088875genetic_marker
Vf_Medtr1g088880Vf_Medtr1g088880genetic_marker
Vf_Medtr1g089290Vf_Medtr1g089290genetic_marker
Vf_Medtr1g089810Vf_Medtr1g089810genetic_marker
Vf_Medtr1g090310Vf_Medtr1g090310genetic_marker
Vf_Medtr1g090690Vf_Medtr1g090690genetic_marker
Vf_Medtr1g099380Vf_Medtr1g099380genetic_marker

Pages

Featuremaps
This publication contains information about 2 maps:
Map Name
Faba-29H_x_Vf136-RIL-2021
Faba-Vf6_x_Vf136-F6-RIL-2021
Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic
ISSN1471-2229
eISSN1471-2229
Publication Date2021 Nov 22
Journal AbbreviationBMC Plant Biol
DOI10.1186/s12870-021-03335-5
Elocation10.1186/s12870-021-03335-5
Journal CountryEngland
Copyright© 2021. The Author(s).
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Cross References
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DatabaseAccession
PMID: PubMedPMID:34809555