Evidence map›Paper›PMID 26690414›Full record

ArticleInternational journal of molecular sciences2015

De Novo Transcriptome Sequencing of Oryza officinalis Wall ex Watt to Identify Disease-Resistance Genes.

Bin He, Yinghong Gu, Xiang Tao, Xiaojie Cheng, Changhe Wei, Jian Fu, Zaiquan Cheng, Yizheng Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Overexpression Levels ofFrontiers in plant science · 2020
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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

8 authors at 3 institutions in 1 country.

Bin HeKey Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, College of Life Sciences, Sichuan University, Chengdu 610064, China. hebin.li@foxmail.com.
Yinghong GuKey Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, College of Life Sciences, Sichuan University, Chengdu 610064, China. yinghonggu@gmail.com.
Xiang TaoChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China. taoxiang180@gmail.com.
Xiaojie ChengKey Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, College of Life Sciences, Sichuan University, Chengdu 610064, China. xiaoxiaojie1991@foxmail.com.
Changhe WeiKey Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, College of Life Sciences, Sichuan University, Chengdu 610064, China. hantanheying@126.com.
Jian FuBiotechnology & Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China. fugein@aliyun.com.
Zaiquan ChengBiotechnology & Genetic Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China. czquan-99@163.com.
Yizheng ZhangKey Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan Key Laboratory of Molecular Biology and Biotechnology, College of Life Sciences, Sichuan University, Chengdu 610064, China. yizzhang@scu.edu.cn.
Sichuan University · CNYunnan Academy of Agricultural Sciences · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oryza officinalis Wall ex Watt is one of the most important wild relatives of cultivated rice and exhibits high resistance to many diseases. It has been used as a source of genes for introgression into cultivated rice. However, there are limited genomic resources and little genetic information publicly reported for this species. To better understand the pathways and factors involved in disease resistance and accelerating the process of rice breeding, we carried out a de novo transcriptome sequencing of O. officinalis. In this research, 137,229 contigs were obtained ranging from 200 to 19,214 bp with an N50 of 2331 bp through de novo assembly of leaves, stems and roots in O. officinalis using an Illumina HiSeq 2000 platform. Based on sequence similarity searches against a non-redundant protein database, a total of 88,249 contigs were annotated with gene descriptions and 75,589 transcripts were further assigned to GO terms. Candidate genes for plant-pathogen interaction and plant hormones regulation pathways involved in disease-resistance were identified. Further analyses of gene expression profiles showed that the majority of genes related to disease resistance were all expressed in the three tissues. In addition, there are two kinds of rice bacterial blight-resistant genes in O. officinalis, including two Xa1 genes and three Xa26 genes. All 2 Xa1 genes showed the highest expression level in stem, whereas one of Xa26 was expressed dominantly in leaf and other 2 Xa26 genes displayed low expression level in all three tissues. This transcriptomic database provides an opportunity for identifying the genes involved in disease-resistance and will provide a basis for studying functional genomics of O. officinalis and genetic improvement of cultivated rice in the future.

Indexed as

TranscriptomeDisease ResistanceGene Expression Regulation, PlantGene OntologyGenes, PlantGenetic Association StudiesGenetic Predisposition to DiseaseMetabolic Networks and PathwaysOryzaPhylogenyPlant DiseasesPlant Growth RegulatorsPlant ProteinsTranscription FactorsPlant Growth RegulatorsPlant ProteinsTranscription Factorsde novo assemblydisease-resistant genesOryza officinalistranscriptome

Identifiers

PMID26690414
PMCPMC4691121
OpenAlexW2190914992

What OpenQuestion holds

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Registered trials

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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.