Evidence map›Paper›PMID 26615185›Full record

ArticleThe Journal of heredity2016

Comparative Transcriptome Analysis between the Fungal Plant Pathogens Sclerotinia sclerotiorum and S. trifoliorum Using RNA Sequencing.

Dan Qiu, Liangsheng Xu, George Vandemark, Weidong Chen

Abstract read
In one paragraph

Article in The Journal of heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

4 authors.

Dan QiuFrom the Department of Plant Pathology, Washington State University, Pullman, WA 99164 (Qiu and Xu); and Grain Legume Genetics and Physiology Research, USDA-ARS, Washington State University, Pullman, WA 99164 (Vandemark and Chen). Dan Qiu is now at the Division of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO 65211.
Liangsheng XuFrom the Department of Plant Pathology, Washington State University, Pullman, WA 99164 (Qiu and Xu); and Grain Legume Genetics and Physiology Research, USDA-ARS, Washington State University, Pullman, WA 99164 (Vandemark and Chen). Dan Qiu is now at the Division of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO 65211.
George VandemarkFrom the Department of Plant Pathology, Washington State University, Pullman, WA 99164 (Qiu and Xu); and Grain Legume Genetics and Physiology Research, USDA-ARS, Washington State University, Pullman, WA 99164 (Vandemark and Chen). Dan Qiu is now at the Division of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO 65211.
Weidong ChenFrom the Department of Plant Pathology, Washington State University, Pullman, WA 99164 (Qiu and Xu); and Grain Legume Genetics and Physiology Research, USDA-ARS, Washington State University, Pullman, WA 99164 (Vandemark and Chen). Dan Qiu is now at the Division of Plant Science and National Center for Soybean Biotechnology, University of Missouri, Columbia, MO 65211. w-chen@wsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fungal plant pathogens Sclerotinia sclerotiorum and S. trifoliorum are morphologically similar, but differ considerably in host range. In an effort to elucidate mechanisms of the host range difference, transcriptomes of the 2 species at vegetative growth stage were compared to gain further insight into commonality and uniqueness in gene expression and pathogenic mechanisms of the 2 closely related pathogens. A total of 23133 and 21043 unique transcripts were obtained from S. sclerotiorum and S. trifoliorum, respectively. Approximately 43% of the transcripts were genes with known functions for both species. Among 1411 orthologous contigs, about 10% (147) were more highly (>3-fold) expressed in S. trifoliorum than in S. sclerotiorum, and about 12% (173) of the orthologs were more highly (>3-fold) expressed in S. sclerotiorum than in S. trifoliorum. The expression levels of genes on the supercontig 30 have the highest correlation coefficient value between the 2 species. Twenty-seven contigs were found to be new and unique for S. trifoliorum. Additionally, differences in expressed genes involved in pathogenesis like oxalate biosynthesis and endopolygalacturonases were detected between the 2 species. The analyses of the transcriptomes not only discovered similarities and uniqueness in gene expression between the 2 closely related species, providing additional information for annotation the S. sclerotiorum genome, but also provided foundation for comparing the transcriptomes with host-infecting transcriptomes.

Indexed as

Sequence Analysis, RNATranscriptomeAscomycotaContig MappingExpressed Sequence TagsGene Expression ProfilingGenes, FungalPlant DiseasesRNA, FungalRNA, FungalRNA sequencingSclerotinia sclerotiorumS. trifoliorumtranscriptome

Identifiers

PMID26615185
PMCPMC5994967

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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.