Evidence map›Paper›PMID 30159808›Full record

ArticleRice (New York, N.Y.)2018

Genome-wide analysis of root hair-preferential genes in rice.

Sunok Moon, Anil Kumar Nalini Chandran, Gynheung An, Chanhui Lee, Ki-Hong Jung

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2018. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Life (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. Fast Track to Discover Novel Promoters in Rice.Plants (Basel, Switzerland) · 2020
    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.

Sunok MoonDepartment of Genetic Engineering and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Korea.
Anil Kumar Nalini ChandranDepartment of Genetic Engineering and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Korea.
Gynheung AnDepartment of Genetic Engineering and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Korea.
Chanhui LeeDepartment of Plant and Environmental New Resources, Kyung Hee University, Yongin, 17104, Korea. chan521@khu.ac.kr.
Ki-Hong JungDepartment of Genetic Engineering and Crop Biotech Institute, Kyung Hee University, Yongin, 17104, Korea. khjung2010@khu.ac.kr.ORCID http://orcid.org/0000-0003-0427-5901

Funding

Rural Development Administration PJ01325901Rural Development Administration PJ01366401
6 · The paper itself

Abstract

backgroundRoot hairs are valuable in taking up nutrients and water from the rhizosphere and serving as sites of interactions with soil microorganisms. By increasing the external surface area of the roots or interacting with rhizobacteria, root hairs directly and indirectly promote plant growth and yield. Transcriptome data can be used to understand root-hair development in rice.

resultWe performed Agilent 44 K microarray experiments with enriched root-hair samples and identified 409 root hair-preferential genes in rice. The expression patterns of six genes were confirmed using a GUS reporter system and quantitative RT-PCR analysis. Gene Ontology (GO) analysis demonstrated that 13 GO terms, including oxygen transport and cell wall generation, were highly over-represented in those genes. Although comparative analysis between rice and Arabidopsis revealed a large proportion of orthologous pairs, their spatial expression patterns were not conserved. To investigate the molecular network associated with root hair-preferential genes in rice, we analyzed the PPI network as well as coexpression data. Subsequently, we developed a refined network consisting of 24 interactions between 10 genes and 18 of their interactors.

conclusionIdentification of root hair-preferential genes and in depth analysis of those genes will be a useful reference to accelerate the understanding of root-hair development in rice.

Indexed as

Comparative analysisGUS reporter systemNetwork analysisRiceRoot hairsTranscriptome

Identifiers

PMID30159808
PMCPMC6115326

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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.