ArticleFrontiers in plant science2015
A novel workflow correlating RNA-seq data to Phythophthora infestans resistance levels in wild Solanum species and potato clones.
Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 31 citations in OpenAlex.
- Transcriptome analysis reveals genes associated with late blight resistance in potato.Scientific reports · 2024Article
- RNA-seq analysis reveals an early defense response to tomato leaf curl New Delhi virus in potato cultivar Kufri Bahar.Functional & integrative genomics · 2023Article
- Screening of wild species and transcriptome profiling to identify differentially regulated genes in response to late blight resistance in potato.Frontiers in plant science · 2023Article
- Comparative transcriptomic responses of European and Japanese larches to infection by Phytophthora ramorum.BMC plant biology · 2022Article
- Dual RNA Sequencing Reveals the Genome-Wide Expression Profiles During the Compatible and Incompatible Interactions BetweenFrontiers in plant science · 2022Article
- Leaf Apoplast of Field-Grown Potato Analyzed by Quantitative Proteomics and Activity-Based Protein Profiling.International journal of molecular sciences · 2021Article
- Linking crop traits to transcriptome differences in a progeny population of tetraploid potato.BMC plant biology · 2020Article
- Comparative Transcriptome Profiling Reveals Compatible and Incompatible Patterns of Potato TowardG3 (Bethesda, Md.) · 2020Article
- Article
- Gene Profiling in Late Blight Resistance in Potato Genotype SD20.International journal of molecular sciences · 2018Article
- Identification of Putative Transmembrane Proteins Involved in Salinity Tolerance inFrontiers in plant science · 2017Article
- Melatonin Attenuates Potato Late Blight by Disrupting Cell Growth, Stress Tolerance, Fungicide Susceptibility and Homeostasis of Gene Expression inFrontiers in plant science · 2017Article
- Plant Resistance Inducers against Pathogens in Solanaceae Species-From Molecular Mechanisms to Field Application.International journal of molecular sciences · 2016Review
- Effector-driven marker development and cloning of resistance genes against Phytophthora infestans in potato breeding clone SW93-1015.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comparative transcriptomics between species can provide valuable understanding of plant-pathogen interactions. Here, we focus on wild Solanum species and potato clones with varying degree of resistance against Phytophthora infestans, which causes the devastating late blight disease in potato. The transcriptomes of three wild Solanum species native to Southern Sweden, Solanum dulcamara, Solanum nigrum, and Solanum physalifolium were compared to three potato clones, Desiree (cv.), SW93-1015 and Sarpo Mira. Desiree and S. physalifolium are susceptible to P. infestans whereas the other four have different degrees of resistance. By building transcript families based on de novo assembled RNA-seq across species and clones and correlating these to resistance phenotypes, we created a novel workflow to identify families with expanded or depleted number of transcripts in relation to the P. infestans resistance level. Analysis was facilitated by inferring functional annotations based on the family structure and semantic clustering. More transcript families were expanded in the resistant clones and species and the enriched functions of these were associated to expected gene ontology (GO) terms for resistance mechanisms such as hypersensitive response, host programmed cell death and endopeptidase activity. However, a number of unexpected functions and transcripts were also identified, for example transmembrane transport and protein acylation expanded in the susceptible group and a cluster of Zinc knuckle family proteins expanded in the resistant group. Over 400 expressed putative resistance (R-)genes were identified and resistant clones Sarpo Mira and SW93-1015 had ca 25% more expressed putative R-genes than susceptible cultivar Desiree. However, no differences in numbers of susceptibility (S-)gene homologs were seen between species and clones. In addition, we identified P. infestans transcripts including effectors in the early stages of P. infestans-Solanum interactions.
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.