Evidence map›Paper›PMID 26267359›Full record

ArticlePloS one2015

Large-Scale Transcriptome Analysis in Faba Bean (Vicia faba L.) under Ascochyta fabae Infection.

Sara Ocaña, Pedro Seoane, Rocio Bautista, Carmen Palomino, Gonzalo M Claros, Ana M Torres, Eva Madrid

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.2field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  5. Transcriptome Analysis of Stigmas ofPlants (Basel, Switzerland) · 2024
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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 1 country.

Sara OcañaÁrea de Mejora y Biotecnología, IFAPA Centro Alameda del Obispo, Apdo 3092, E-14080, Córdoba, Spain.
Pedro SeoaneDepartamento de Biología Molecular y Bioquímica, Universidad de Málaga, E-29071, Málaga, Spain.
Rocio BautistaPlataforma Andaluza de Bioinformática, Universidad de Málaga, E-29071, Málaga, Spain.
Carmen PalominoÁrea de Mejora y Biotecnología, IFAPA Centro Alameda del Obispo, Apdo 3092, E-14080, Córdoba, Spain.
Gonzalo M ClarosDepartamento de Biología Molecular y Bioquímica, Universidad de Málaga, E-29071, Málaga, Spain; Plataforma Andaluza de Bioinformática, Universidad de Málaga, E-29071, Málaga, Spain.
Ana M TorresÁrea de Mejora y Biotecnología, IFAPA Centro Alameda del Obispo, Apdo 3092, E-14080, Córdoba, Spain.
Eva MadridInstitute for Sustainable Agriculture, CSIC, Apdo 4084, E-14080, Córdoba, Spain.
Andalusian Institute of Agricultural and Fisheries Research and Training · ESUniversidad de Málaga · ESInstituto de Agricultura Sostenible · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Faba bean is an important food crop worldwide. However, progress in faba bean genomics lags far behind that of model systems due to limited availability of genetic and genomic information. Using the Illumina platform the faba bean transcriptome from leaves of two lines (29H and Vf136) subjected to Ascochyta fabae infection have been characterized. De novo transcriptome assembly provided a total of 39,185 different transcripts that were functionally annotated, and among these, 13,266 were assigned to gene ontology against Arabidopsis. Quality of the assembly was validated by RT-qPCR amplification of selected transcripts differentially expressed. Comparison of faba bean transcripts with those of better-characterized plant genomes such as Arabidopsis thaliana, Medicago truncatula and Cicer arietinum revealed a sequence similarity of 68.3%, 72.8% and 81.27%, respectively. Moreover, 39,060 single nucleotide polymorphism (SNP) and 3,669 InDels were identified for genotyping applications. Mapping of the sequence reads generated onto the assembled transcripts showed that 393 and 457 transcripts were overexpressed in the resistant (29H) and susceptible genotype (Vf136), respectively. Transcripts involved in plant-pathogen interactions such as leucine rich proteins (LRR) or plant growth regulators involved in plant adaptation to abiotic and biotic stresses were found to be differently expressed in the resistant line. The results reported here represent the most comprehensive transcript database developed so far in faba bean, providing valuable information that could be used to gain insight into the pathways involved in the resistance mechanism against A. fabae and to identify potential resistance genes to be further used in marker assisted selection.

Indexed as

TranscriptomeAscomycotaDisease ResistanceGenotypeINDEL MutationLeucine-Rich Repeat ProteinsPolymorphism, Single NucleotideProteinsSequence AlignmentVicia fabaLeucine-Rich Repeat ProteinsProteins

Identifiers

PMID26267359
PMCPMC4534337
OpenAlexW1786214811

What OpenQuestion holds

Textmetadata
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.