ArticlePlant biotechnology journal2019
Integrated transcriptome, small RNA and degradome sequencing approaches provide insights into Ascochyta blight resistance in chickpea.
Article in Plant biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring Chickpea Germplasm Diversity for Broadening the Genetic Base Utilizing Genomic Resourses.Frontiers in genetics · 2022Pooled it
- Integrated Breeding Approaches for Ascochyta Blight Resistance in Chickpea.International journal of molecular sciences · 2026Review
- Integrated analysis of transcriptome, small RNA, and degradome sequencing provides insights into mango anthracnose resistance.BMC genomics · 2025Article
- Identification of miRNAs associated with Aspergillus flavus infection and their targets in groundnut (Arachis hypogaea L.).BMC plant biology · 2025Article
- Article
- Transcriptome analysis of resistant and susceptible Medicago truncatula genotypes in response to spring black stem and leaf spot disease.BMC plant biology · 2024Article
- Celebrating Professor Rajeev K. Varshney's transformative research odyssey from genomics to the field on his induction as Fellow of the Royal Society.Plant biotechnology journal · 2024Article
- Analyzing the defense response mechanism ofFrontiers in plant science · 2024Article
- De novo transcriptomic analysis of Doum Palm (Hyphaene compressa) revealed an insight into its potential drought tolerance.PloS one · 2024Article
- Changes in epigenetic features in legumes under abiotic stresses.The plant genome · 2023Review
- Transcriptome profiling reveals the expression and regulation of genes associated with Fusarium wilt resistance in chickpea (Cicer arietinum L.).The plant genome · 2023Article
- Ascochyta Blight in Chickpea: An Update.Journal of fungi (Basel, Switzerland) · 2023Review
- Comprehensive Transcriptome Profiling Uncovers Molecular Mechanisms and Potential Candidate Genes Associated with Heat Stress Response in Chickpea.International journal of molecular sciences · 2023Article
- Characterization of the microRNA408-LACCASE5 module as a regulatory axis for photosynthetic efficiency inFrontiers in genetics · 2023Article
- Transcriptional multiomics reveals the mechanism of seed deterioration in Nicotiana tabacum L. and Oryza sativa L.Journal of advanced research · 2022Article
- MicroRNAs in Medicinal Plants.International journal of molecular sciences · 2022Review
- Differentiation of an Iranian resistance chickpea line to Ascochyta blight from a susceptible line using a functional SNP.AMB Express · 2022Article
- Transcriptome and miRNAome analysis reveals components regulating tissue differentiation of bamboo shoots.Plant physiology · 2022Article
- Article
- Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes.International journal of molecular sciences · 2022Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (DEGs). These DEGs 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 miRNAs which included 478 known and 173 novel miRNAs. A total of 297 miRNAs were differentially expressed between different genotypes, conditions and time points. Using degradome sequencing and in silico approaches, 2131 targets were predicted for 629 miRNAs. The combined analysis of both small RNA and transcriptome datasets identified 12 miRNA-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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