ArticleFrontiers in plant science2017
Genetic Analysis of NBS-LRR Gene Family in Chickpea and Their Expression Profiles in Response to Ascochyta Blight Infection.
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Integrated Breeding Approaches for Ascochyta Blight Resistance in Chickpea.International journal of molecular sciences · 2026Review
- Genome-wide identification and expression analysis of the NBS-LRR gene family in Citrus clementina.Scientific reports · 2026Article
- Article
- Characterization and mapping of a rust resistance locus in the common bean landrace G19833.G3 (Bethesda, Md.) · 2025Article
- Genome-wide characterization of nitric oxide-induced NBS-LRR genes from Arabidopsis thaliana and their association in monocots and dicots.BMC plant biology · 2024Article
- Comparative Analysis of Transcriptomes Reveals Pathways and Verifies Candidate Genes for Clubroot Resistance inInternational journal of molecular sciences · 2024Article
- Comparison of Root Transcriptomes against Clubroot Disease Pathogens in a Resistant Chinese Cabbage Cultivar (Plants (Basel, Switzerland) · 2024Article
- Article
- Genetic Analysis of Partially Resistant and Susceptible Chickpea Cultivars in Response toInternational journal of molecular sciences · 2024Article
- A near-complete assembly of asparagus bean provides insights into anthocyanin accumulation in pods.Plant biotechnology journal · 2023Article
- Expression profiling and characterization of key RGA involved in lentil Fusarium wilt Race 5 resistance.World journal of microbiology & biotechnology · 2023Article
- Article
- Identification, characterization, and validation of NBS-encoding genes in grass pea.Frontiers in genetics · 2023Article
- Comparative transcriptome profiling reveals differential defense responses amongFrontiers in plant science · 2023Article
- Engineering Resistance againstPlants (Basel, Switzerland) · 2022Article
- Haplotype-resolved powdery mildew resistance loci reveal the impact of heterozygous structural variation on NLR genes in Muscadinia rotundifolia.G3 (Bethesda, Md.) · 2022Article
- In silico integration of disease resistance QTL, genes and markers with theMolecular breeding : new strategies in plant improvement · 2022Article
- Harnessing the hidden allelic diversity of wild Cicer to accelerate genomics-assisted chickpea crop improvement.Molecular biology reports · 2022Review
- Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes.International journal of molecular sciences · 2022Review
- Genome-wide identification and characterization of NBS-encoding genes in the sweet potato wild ancestorOpen life sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ascochyta blight is one of the major diseases of chickpea worldwide. The genetic resistance to ascochyta blight in chickpea is complex and governed by multiple QTLs. However, the molecular mechanism of quantitative disease resistance to ascochyta blight and the genes underlying these QTLs are still unknown. Most often disease resistance is determined by resistance (R) genes. The most predominant R-genes contain nucleotide binding site and leucine rich repeat (NBS-LRR) domains. A total of 121 NBS-LRR genes were identified in the chickpea genome. Ninety-eight of these genes contained all essential conserved domains while 23 genes were truncated. The NBS-LRR genes were grouped into eight distinct classes based on their domain architecture. Phylogenetic analysis grouped these genes into two major clusters based on their structural variation, the first cluster with toll or interleukin-1 like receptor (TIR) domain and the second cluster either with or without a coiled-coil domain. The NBS-LRR genes are distributed unevenly across the eight chickpea chromosomes and nearly 50% of the genes are present in clusters. Thirty of the NBS-LRR genes were co-localized with nine of the previously reported ascochyta blight QTLs and were tested as potential candidate genes for ascochyta blight resistance. Expression pattern of these genes was studied in two resistant (CDC Corinne and CDC Luna) and one susceptible (ICCV 96029) genotypes at different time points after ascochyta blight infection using real-time quantitative PCR. Twenty-seven NBS-LRR genes showed differential expression in response to ascochyta blight infection in at least one genotype at one time point. Among these 27 genes, the majority of the NBS-LRR genes showed differential expression after inoculation in both resistant and susceptible genotypes which indicates the involvement of these genes in response to ascochyta blight infection. Five NBS-LRR genes showed genotype specific expression. Our study provides a new insight of NBS-LRR gene family in chickpea and the potential involvement of NBS-LRR genes in response to ascochyta blight infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.