Evidence map›Paper›PMID 32566966›Full record

ArticleFunctional & integrative genomics2020

Transcriptome analysis of different rice cultivars provides novel insights into the rice response to bacterial leaf streak infection.

Ling Lu, Dewei Yang, Dingzhong Tang, Shengping Li, Zhiwei Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Transcriptome Analysis in Response to Infection ofInternational journal of molecular sciences · 2022
    Article
  7. Article
  8. 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

5 authors at 2 institutions in 1 country.

Ling LuKey Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education and Plant Immunity Centre, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Dewei YangKey Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education and Plant Immunity Centre, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Dingzhong TangKey Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education and Plant Immunity Centre, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Shengping LiKey Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education and Plant Immunity Centre, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. lishun1981@126.com.ORCID http://orcid.org/0000-0001-8245-9031
Zhiwei ChenKey Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education and Plant Immunity Centre, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. czw9216@fafu.edu.cn.
Fujian Agriculture and Forestry University · CNRice Research Institute · CN

Funding

Fujian Provincial Natural Science Foundation 2017J01438Fujian Provincial Natural Science Foundation 2019J01424General Project of the Fujian Academy of Agricultural Sciences No. A2017-13National Key R&D Programme of China 2017YFD0100100Program for Nonferrous Metals Vacuum Metallurgy Innovation Team of Ministry of Science and Technology (CN) No. STIT2017-3-3
6 · The paper itself

Abstract

Bacterial leaf streak (BLS) is now the fourth-most devastating disease in rice. Dular and H359 are two indica rice varieties with contrasting responses to BLS. Dular displays high resistance, while H359 is susceptible. In this study, RNA-seq was used to examine the early molecular processes deployed during the resistance response of Dular and H359 at different times after inoculation. Differentially expressed gene (DEG) analysis identified 3031 genes in Dular and 7161 in H359 that were modulated in response to infection after 12 and 24 h. There were significantly more DEGs in H359 than in Dular, and there were significantly more downregulated genes than upregulated genes. Gene ontology (GO) and KEGG enrichment analyses revealed a similar set of GO terms and KEGG pathways enriched in both varieties. However, KEGG analysis of upregulated DEGs revealed that some phenylpropane metabolism-related pathways were specially enriched in Dular. Further comparison and analysis showed that the numbers of resistance-related DEGs in the two varieties were significantly reduced at 24 h compared with 12 h after BLS infection and genes critically involved in conferring resistance during the early stage mainly included WRKY transcription factors, receptor kinases and disease, exocyst, MAPK signalling pathway and hormones related genes. Our study suggests that resistance-related genes may play an important role at an early stage of infection and phenylpropane metabolism related genes may partly response for BLS resistance of Dular, thus providing valuable information for future studies on the molecular mechanisms of BLS resistance in rice.

Indexed as

TranscriptomeXanthomonasDisease ResistanceGene Expression ProfilingGene OntologyOryzaPlant DiseasesReal-Time Polymerase Chain ReactionBacterial leaf streakPlant defence responseRiceRNA-Seq

Identifiers

PMID32566966
OpenAlexW3036207725

What OpenQuestion holds

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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.