ArticleFrontiers in plant science2017
Gaining Insight into Exclusive and Common Transcriptomic Features Linked with Biotic Stress Responses in Malus.
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 11 papers, 3 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress.BMC genomics · 2024Pooled it
- Integrative systems biology analysis of barley transcriptome ─ hormonal signaling against biotic stress.PloS one · 2023Pooled it
- Identification of key genes and its chromosome regions linked to drought responses in leaves across different crops through meta-analysis of RNA-Seq data.BMC plant biology · 2019Pooled it
- The crucial role of mitochondrial/chloroplast-related genes in viral genome replication and host defense: integrative systems biology analysis in plant-virus interaction.Frontiers in microbiology · 2025Article
- Integrative System Biology Analysis of Transcriptomic Responses to Drought Stress in Soybean (Genes · 2022Article
- Identification of Key Genes Related to Dormancy Control inPlants (Basel, Switzerland) · 2022Article
- Deciphering the Epigenetic Alphabet Involved in Transgenerational Stress Memory in Crops.International journal of molecular sciences · 2021Review
- EORNA, a barley gene and transcript abundance database.Scientific data · 2021Article
- Application of a portable instrument for rapid and reliable detection of SARS-CoV-2 infection in any environment.Immunological reviews · 2020Article
- Mapping Gene Markers for Apple Fruit Ring Rot Disease Resistance Using a Multi-omics Approach.G3 (Bethesda, Md.) · 2019Article
- Identifying Host Molecular Features Strongly Linked With Responses to Huanglongbing Disease in Citrus Leaves.Frontiers in plant science · 2018Article
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Authors and funding
3 authors.
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Abstract
Identifying key information in transcriptomic data is very important, especially when the "omic" study deals with plant responses to stresses in field conditions where a high number of variables and disturbing factors may affect the analysis. In this meta-analysis we collected 12 transcriptomic works in Malus in order to identify which key genes, proteins, gene categories are involved in general plant pathological conditions and those features linked with exclusive biotic stress responses. Those genes that are only related with molecular responses to pathogen attacks and those linked with other plant physiological processes were identified. A pipeline composed by pathway and gene set enrichment analysis, protein-protein interaction networks and gene visualization tools was employed. A total of 13,230 genes of the 12 studies were analyzed with functional data mining tools: 5,215 were upregulated, 8,015 were downregulated. Gene set enrichment analysis pointed out that photosynthesis was inhibited by
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