ArticleBMC plant biology2018
Integration of proteomic and transcriptomic profiles reveals multiple levels of genetic regulation of salt tolerance in cotton.
Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 58 citations in OpenAlex.
- Review
- The Role of Alternative Splicing in Polyploids in Response to Abiotic Stress.International journal of molecular sciences · 2025Review
- Pan-genomic insights into LTP gene family evolution across diploid cotton species.Frontiers in plant science · 2025Article
- Cotton under heat stress: a comprehensive review of molecular breeding, genomics, and multi-omics strategies.Frontiers in genetics · 2025Review
- Review
- Integrated Transcriptomic and Proteomic Characterization of a Chromosome Segment Substitution Line Reveals the Regulatory Mechanism Controlling the Seed Weight in Soybean.Plants (Basel, Switzerland) · 2024Article
- Salt tolerance evaluation and key salt-tolerant traits at germination stage of upland cotton.Frontiers in plant science · 2024Article
- Chilling stress response in tobacco seedlings: insights from transcriptome, proteome, and phosphoproteome analyses.Frontiers in plant science · 2024Article
- Analysis of companion cell and phloem metabolism using a transcriptome-guided model of Arabidopsis metabolism.Plant physiology · 2023Article
- Review
- Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses.Frontiers in plant science · 2023Article
- Multi-Omics Approaches and Resources for Systems-Level Gene Function Prediction in the Plant Kingdom.Plants (Basel, Switzerland) · 2022Review
- Transcriptomic and Metabolic Profiling of Kenaf Stems under Salinity Stress.Plants (Basel, Switzerland) · 2022Article
- An overview of salinity stress, mechanism of salinity tolerance and strategies for its management in cotton.Frontiers in plant science · 2022Review
- Integration of Transcriptomic and Proteomic Profiles Reveals Multiple Levels of Genetic Regulation of Taproot Growth in Sugar Beet (Frontiers in plant science · 2022Article
- Integration of multi-omics technologies for crop improvement: Status and prospects.Frontiers in bioinformatics · 2022Article
- Increase Crop Resilience to Heat Stress Using Omic Strategies.Frontiers in plant science · 2022Review
- Multiomics Analyses of Two Sorghum Cultivars Reveal the Molecular Mechanism of Salt Tolerance.Frontiers in plant science · 2022Article
- OsNBL3, a mitochondrion-localized pentatricopeptide repeat protein, is involved in splicing nad5 intron 4 and its disruption causes lesion mimic phenotype with enhanced resistance to biotic and abiotic stresses.Plant biotechnology journal · 2021Article
- Combined Transcriptome and Proteome Analysis to Elucidate Salt Tolerance Strategies of the HalophyteFrontiers in plant science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSalinity is a major abiotic stress that limits upland cotton growth and reduces fibre production worldwide. To reveal genetic regulation via transcript and protein levels after salt stress, we comprehensively analysed the global changes in mRNA, miRNA, and protein profiles in response to salt stress in two contrasting salt-tolerant cotton genotypes.
resultsIn the current study, proteomic and mRNA-seq data were combined to reveal that some genes are differentially expressed at both the proteomic and mRNA levels. However, we observed no significant change in mRNA corresponding to most of the strongly differentially abundant proteins. This finding may have resulted from global changes in alternative splicing events and miRNA levels under salt stress conditions. Evidence was provided indicating that several salt stress-responsive proteins can alter miRNAs and modulate alternative splicing events in upland cotton. The results of the stringent screening of the mRNA-seq and proteomic data between the salt-tolerant and salt-sensitive genotypes identified 63 and 85 candidate genes/proteins related to salt tolerance after 4 and 24 h of salt stress, respectively, between the tolerant and sensitive genotype. Finally, we predicted an interaction network comprising 158 genes/proteins and then discovered that two main clusters in the network were composed of ATP synthase (CotAD_74681) and cytochrome oxidase (CotAD_46197) in mitochondria. The results revealed that mitochondria, as important organelles involved in energy metabolism, play an essential role in the synthesis of resistance proteins during the process of salt exposure.
conclusionWe provided a plausible schematic for the systematic salt tolerance model; this schematic reveals multiple levels of gene regulation in response to salt stress in cotton and provides a list of salt tolerance-related genes/proteins. The information here will facilitate candidate gene discovery and molecular marker development for salt tolerance breeding in cotton.
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.