ArticlePloS one2019
Transcriptomic analysis of cultivated cotton Gossypium hirsutum provides insights into host responses upon whitefly-mediated transmission of cotton leaf curl disease.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 40 citations in OpenAlex.
- Unveiling the role of heat shock protein 83 (HSP83) in Gossypium hirsutum in enhancing whitefly stress tolerance.Molecular genetics and genomics : MGG · 2026Article
- Gene Expression Analysis to Investigate the Response of Salicylic Acid in Plant Immunity.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Stereo-Seq Transcriptomics in Arabidopsis Leaves in Response to Salicylic Acid.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Single-Cell Transcriptomics in Arabidopsis in Response to Salicylic Acid and Jasmonic Acid.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Comparative analysis, diversification, and functional validation of plant nucleotide-binding site domain genes.Scientific reports · 2024Article
- A comprehensive review onFrontiers in genetics · 2024Review
- Biotechnology and Solutions: Insect-Pest-Resistance Management for Improvement and Development of Bt Cotton (Plants (Basel, Switzerland) · 2023Article
- RNA-seq analysis reveals an early defense response to tomato leaf curl New Delhi virus in potato cultivar Kufri Bahar.Functional & integrative genomics · 2023Article
- Network Biology Analyses and Dynamic Modeling of Gene Regulatory Networks under Drought Stress Reveal Major Transcriptional Regulators inInternational journal of molecular sciences · 2023Article
- Transcriptome and Metabolome Profiling Unveil Pigment Formation Variations in Brown Cotton Lines (International journal of molecular sciences · 2023Article
- Omics-driven exploration and mining of key functional genes for the improvement of food and fiber crops.Frontiers in plant science · 2023Review
- Transcriptomic and metabolomic analyses reveal the potential mechanism of waterlogging resistance in cotton (Frontiers in plant science · 2023Article
- A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions.STAR protocols · 2022Article
- A genome-wide comparative evolutionary analysis of zinc finger-BED transcription factor genes in land plants.Scientific reports · 2022Article
- Genome wide study of cysteine rich receptor like proteins in Gossypium sp.Scientific reports · 2022Article
- TMT-based quantitative proteomic analysis reveals defense mechanism of wheat against the crown rot pathogen Fusarium pseudograminearum.BMC plant biology · 2021Article
- Dynamic Regulatory Event Mining by iDREM in Large-Scale Multi-omics Datasets During Biotic and Abiotic Stress in Plants.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Inference of Gene Regulatory Network from Single-Cell Transcriptomic Data Using pySCENIC.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Biochemical evidence of epicuticular wax compounds involved in cotton-whitefly interaction.PloS one · 2021Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cotton is a commercial and economically important crop that generates billions of dollars in annual revenue worldwide. However, cotton yield is affected by a sap-sucking insect Bemisia tabaci (whitefly), and whitefly-borne cotton leaf curl disease (CLCuD). The causative agent of devastating CLCuD is led by the viruses belonging to the genus Begomovirus (family Geminiviridae), collectively called cotton leaf curl viruses. Unfortunately, the extensively cultivated cotton (Gossypium hirsutum) species are highly susceptible and vulnerable to CLCuD. Yet, the concomitant influence of whitefly and CLCuD on the susceptible G. hirsutum transcriptome has not been interpreted. In the present study we have employed an RNA Sequencing (RNA-Seq) transcriptomics approach to explore the differential gene expression in susceptible G. hirsutum variety upon infection with viruliferous whiteflies. Comparative RNA-Seq of control and CLCuD infected plants was done using Illumina HiSeq 2500. This study yielded 468 differentially expressed genes (DEGs). Among them, we identified 220 up and 248 downregulated DEGs involved in disease responses and pathogen defense. We selected ten genes for downstream RT-qPCR analyses on two cultivars, Karishma and MNH 786 that are susceptible to CLCuD. We observed a similar expression pattern of these genes in both susceptible cultivars that was also consistent with our transcriptome data further implying a wider application of our global transcription study on host susceptibility to CLCuD. We next performed weighted gene co-expression network analysis that revealed six modules. This analysis also identified highly co-expressed genes as well as 55 hub genes that co-express with ≥ 50 genes. Intriguingly, most of these hub genes are shown to be downregulated and enriched in cellular processes. Under-expression of such highly co-expressed genes suggests their roles in favoring the virus and enhancing plant susceptibility to CLCuD. We also discuss the potential mechanisms governing the establishment of disease susceptibility. Overall, our study provides a comprehensive differential gene expression analysis of G. hirsutum under whitefly-mediated CLCuD infection. This vital study will advance the understanding of simultaneous effect of whitefly and virus on their host and aid in identifying important G. hirsutum genes which intricate in its susceptibility to CLCuD.
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