Evidence map›Paper›PMID 25522779›Full record

ArticleBMC plant biology2014

Allelic diversity in the transcriptomes of contrasting rust-infected genotypes of Lathyrus sativus, a lasting resource for smart breeding.

Nuno Felipe Almeida, Susana Trindade Leitão, Nicolas Krezdorn, Björn Rotter, Peter Winter, Diego Rubiales, Maria Carlota Vaz Patto

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Review
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  4. WildPlants (Basel, Switzerland) · 2024
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  8. Review
  9. Association Mapping ofFrontiers in plant science · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Ribosomal DNA localization on Lathyrus species chromosomes by FISH.Journal, genetic engineering & biotechnology · 2020
    Article
  15. Review
  16. Review
  17. First genetic linkage map ofHorticulture research · 2018
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Nuno Felipe AlmeidaInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157, Oeiras, Portugal. nalmeida@itqb.unl.pt.
Susana Trindade LeitãoInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157, Oeiras, Portugal. sleitao@itqb.unl.pt.
Nicolas KrezdornGenXPro GmbH, D-60438, Frankfurt am Main, Germany. nicokrez@genxpro.de.
Björn RotterGenXPro GmbH, D-60438, Frankfurt am Main, Germany. rotter@genxpro.de.
Peter WinterGenXPro GmbH, D-60438, Frankfurt am Main, Germany. pwinter@genxpro.de.
Diego RubialesInstitute for Sustainable Agriculture, CSIC, E-14080, Córdoba, Spain. diego.rubiales@ias.csic.es.
Maria Carlota Vaz PattoInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157, Oeiras, Portugal. cpatto@itqb.unl.pt.
GenXPro (Germany) · DEUniversidade Nova de Lisboa · PTInstituto de Agricultura Sostenible · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrass pea (Lathyrus sativus L.) is a valuable resource for potentially durable partial resistance to rust. To gain insight into the resistance mechanism and identify potential resistance genes, we generated the first comprehensive transcriptome assemblies from control and Uromyces pisi inoculated leafs of a susceptible and a partially rust-resistant grass pea genotype by RNA-seq.

results134,914 contigs, shared by both libraries, were used to analyse their differential expression in response to rust infection. Functional annotation grouped 60.4% of the contigs present in plant databases (37.8% of total) to 33 main functional categories, being "protein", "RNA", "signalling", "transport" and "stress" the most represented. Transcription profiles revealed considerable differences in regulation of major phytohormone signalling pathways: whereas Salicylic and Abscisic Acid pathways were up-regulated in the resistant genotype, Jasmonate and Ethylene pathways were down-regulated in the susceptible one. As potential Resistance-genes we identified a mildew resistance locus O (MLO)-like gene, and MLO-related transcripts. Also, several pathogenesis-related genes were up-regulated in the resistant and exclusively down regulated in the susceptible genotype. Pathogen effectors identified in both inoculated libraries, as e.g. the rust Rtp1 transcript, may be responsible for the down-regulation of defence-related transcripts. The two genotypes contained 4,892 polymorphic contigs with SNPs unevenly distributed between different functional categories. Protein degradation (29.7%) and signalling receptor kinases (8.2%) were the most diverged, illustrating evolutionary adaptation of grass pea to the host/pathogens arms race.

conclusionsThe vast array of novel, resistance-related genomic information we present here provides a highly valuable resource for future smart breeding approaches in this hitherto under-researched, valuable legume crop.

Indexed as

Gene Expression ProfilingTranscriptomeAllelesBasidiomycotaDisease ResistanceGenotypeHost-Pathogen InteractionsLathyrusMolecular Sequence AnnotationPlant DiseasesPolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain ReactionSequence Analysis, RNAStress, Physiological

Identifiers

PMID25522779
PMCPMC4331309
OpenAlexW2083529822

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.