An Update on Genetic Resistance of Chickpea to Ascochyta Blight

Sharma, Mamta; Ghosh, Raju

doi:10.3390/agronomy6010018

Cited by 80 publications

(90 citation statements)

References 86 publications

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“…Complete resistance to Ascochyta rabiei has not been identified in cultivated chickpeas; however, moderate resistance in some genotypes has been identified in several chickpea accessions (Sharma and Ghosh, 2016;Tar'an et al, 2007). Among the kabuli chickpea cultivars that are well adapted to the Canadian growing conditions, CDC Frontier and Amit have moderate resistance to ascochyta blight (Anbessa et al, 2009;Tar'an et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea

Deokar

Sagi

Daba

et al. 2018

Plant Biotechnology Journal

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Whole-genome sequencing-based bulked segregant analysis (BSA) for mapping quantitative trait loci (QTL) provides an efficient alternative approach to conventional QTL analysis as it significantly reduces the scale and cost of analysis with comparable power to QTL detection using full mapping population. We tested the application of next-generation sequencing (NGS)-based BSA approach for mapping QTLs for ascochyta blight resistance in chickpea using two recombinant inbred line populations CPR-01 and CPR-02. Eleven QTLs in CPR-01 and six QTLs in CPR-02 populations were mapped on chromosomes Ca1, Ca2, Ca4, Ca6 and Ca7. The QTLs identified in CPR-01 using conventional biparental mapping approach were used to compare the efficiency of NGS-based BSA in detecting QTLs for ascochyta blight resistance. The QTLs on chromosomes Ca1, Ca4, Ca6 and Ca7 overlapped with the QTLs previously detected in CPR-01 using conventional QTL mapping method. The QTLs on chromosome Ca4 were detected in both populations and overlapped with the previously reported QTLs indicating conserved region for ascochyta blight resistance across different chickpea genotypes. Six candidate genes in the QTL regions identified using NGS-based BSA on chromosomes Ca2 and Ca4 were validated for their association with ascochyta blight resistance in the CPR-02 population. This study demonstrated the efficiency of NGS-based BSA as a rapid and cost-effective method to identify QTLs associated with ascochyta blight in chickpea.

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Section: Discussionmentioning

confidence: 99%

QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea

Deokar

Sagi

Daba

et al. 2018

Plant Biotechnology Journal

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“…Along with the AB inoculated samples, control (non-inoculated) samples were also harvested from both the time points. From previous studies, it is known that early response of infection initiates at 24-48 h post inoculation and prevails until 7th dpi after which plants react defensively to the AB infection causing tissue decline (Pande et al, 2005;Sharma and Ghosh, 2016). Considering this, 3rd and 7th dpi were selected for the current study.…”

Section: Methodsmentioning

confidence: 99%

Integrated transcriptome, small RNA and degradome sequencing approaches provide insights into Ascochyta blight resistance in chickpea

Garg

Khan

Kudapa

et al. 2018

Plant Biotechnology Journal

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Summary Ascochyta blight ( AB ) is one of the major biotic stresses known to limit the chickpea production worldwide. To dissect the complex mechanisms of AB resistance in chickpea, three approaches, namely, transcriptome, small RNA and degradome sequencing were used. The transcriptome sequencing of 20 samples including two resistant genotypes, two susceptible genotypes and one introgression line under control and stress conditions at two time points (3rd and 7th day post inoculation) identified a total of 6767 differentially expressed genes ( DEG s). These DEG s were mainly related to pathogenesis‐related proteins, disease resistance genes like NBS ‐ LRR , cell wall biosynthesis and various secondary metabolite synthesis genes. The small RNA sequencing of the samples resulted in the identification of 651 mi RNA s which included 478 known and 173 novel mi RNA s. A total of 297 mi RNA s were differentially expressed between different genotypes, conditions and time points. Using degradome sequencing and in silico approaches, 2131 targets were predicted for 629 mi RNA s. The combined analysis of both small RNA and transcriptome datasets identified 12 mi RNA ‐ mRNA interaction pairs that exhibited contrasting expression in resistant and susceptible genotypes and also, a subset of genes that might be post‐transcriptionally silenced during AB infection. The comprehensive integrated analysis in the study provides better insights into the transcriptome dynamics and regulatory network components associated with AB stress in chickpea and, also offers candidate genes for chickpea improvement.

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“…The GLM was used to identify genes controlling some agro-morphological traits in the studied chickpea germplasm mini-core collection. Heretofore a considerable number of QTLs have been identified for desirable agronomic traits in chickpea on different linkage groups (LG 2, 3, 4, 6 and 8) [61]. For instance, Iruela et al [62] identified three QTLs for resistance to Ascochyta blight on linkage group 4 (LG4) (QTL AR1 and QTL AR2) and 2 (QTL AR3).…”

Section: Association Analysismentioning

confidence: 99%

Association analysis of biotic and abiotic stresses resistance in chickpea (Cicerspp.) using AFLP markers

Saeed

Darvishzadeh

2017

Biotechnology & Biotechnological Equipment

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Chickpea suffers from different biotic and abiotic stresses, which has led to considerable decreases in seed yield. Since the economic value of a cultivar is determined by its phenotypic characteristics, good knowledge of the genetic structure and identification of genomic loci associated with desired traits will facilitate crop breeding. Amplified fragment length polymorphism (AFLP) markers associated with different agro-morphological characteristics, cold and drought tolerance as well as Ascochyta blight resistance were identified in chickpea by using 44 genotypes comprising cultigens, landraces, internationally developed improved lines and wild relatives, evaluated in a randomized complete block design with three replications at the Urmia rainfed research station. Using six AFLP primer combinations, 64 clear and reproducible markers were developed. The polymorphism information content values calculated for each primer pair ranged from 0.155 (EcoR1-ACC/Mse1-CAG) to 0.270 (EcoR1-ACC/ Mse1-CTG) with an average of 0.237. Analysis of molecular variance (AMOVA) revealed that 90% of the total variance was due to differences within populations and 10% due to differences among populations. Using a general linear model and applying multiple testing corrections, 24 AFLP markers associated with genes controlling the studied traits were identified. Some identified markers were associated with more than one trait. The identified markers could be of interest in marker-assisted selection in chickpea breeding programmes.

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An Update on Genetic Resistance of Chickpea to Ascochyta Blight

Cited by 80 publications

References 86 publications

QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea

QTL sequencing strategy to map genomic regions associated with resistance to ascochyta blight in chickpea

Integrated transcriptome, small RNA and degradome sequencing approaches provide insights into Ascochyta blight resistance in chickpea

Association analysis of biotic and abiotic stresses resistance in chickpea (Cicerspp.) using AFLP markers

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