Evidence map›Paper›PMID 27076183›Full record

ArticleRice (New York, N.Y.)2016

Functional classification of rice flanking sequence tagged genes using MapMan terms and global understanding on metabolic and regulatory pathways affected by dxr mutant having defects in light response.

Anil Kumar Nalini Chandran, Gang-Seob Lee, Yo-Han Yoo, Ung-Han Yoon, Byung-Ohg Ahn, Doh-Won Yun, Jin-Hyun Kim, Hong-Kyu Choi, GynHeung An, Tae-Ho Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A web-based tool for the prediction of rice transcription factor function.Database : the journal of biological databases and curation · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A Systematic View of theFrontiers in plant science · 2016
    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

11 authors at 3 institutions in 1 country.

Anil Kumar Nalini ChandranGraduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701, Republic of Korea.
Gang-Seob LeeMolecular Breeding Division, National Academy of Agricultural Science, RDA, Jeonju, 560-500, Republic of Koreas.
Yo-Han YooGraduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701, Republic of Korea.
Ung-Han YoonGenomics Division, National Academy of Agricultural Science, RDA, Jeonju, 560-500, Republic of Korea.
Byung-Ohg AhnR&D Coordination Division, Research Policy Bureau, RDA, Jeonju, 560-500, Republic of Korea.
Doh-Won YunPlanning & Coordination Division, National Academy of Agricultural Science, RDA, Jeonju, 560-500, Republic of Korea.
Jin-Hyun KimDepartment of Medical Bioscience, Dong-A University, Busan, Republic of Korea.
Hong-Kyu ChoiDepartment of Medical Bioscience, Dong-A University, Busan, Republic of Korea.
GynHeung AnGraduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701, Republic of Korea. genean@khu.ac.kr.
Tae-Ho KimGenomics Division, National Academy of Agricultural Science, RDA, Jeonju, 560-500, Republic of Korea. thkim1961@korea.kr.
Ki-Hong JungGraduate School of Biotechnology & Crop Biotech Institute, Kyung Hee University, Yongin, 446-701, Republic of Korea. khjung2010@khu.ac.kr.
Kyung Hee University · KRNational Academy of Agricultural Science · KRDong-A University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice is one of the most important food crops for humans. To improve the agronomical traits of rice, the functions of more than 1,000 rice genes have been recently characterized and summarized. The completed, map-based sequence of the rice genome has significantly accelerated the functional characterization of rice genes, but progress remains limited in assigning functions to all predicted non-transposable element (non-TE) genes, estimated to number 37,000-41,000.

resultsThe International Rice Functional Genomics Consortium (IRFGC) has generated a huge number of gene-indexed mutants by using mutagens such as T-DNA, Tos17 and Ds/dSpm. These mutants have been identified by 246,566 flanking sequence tags (FSTs) and cover 65 % (25,275 of 38,869) of the non-TE genes in rice, while the mutation ratio of TE genes is 25.7 %. In addition, almost 80 % of highly expressed non-TE genes have insertion mutations, indicating that highly expressed genes in rice chromosomes are more likely to have mutations by mutagens such as T-DNA, Ds, dSpm and Tos17. The functions of around 2.5 % of rice genes have been characterized, and studies have mainly focused on transcriptional and post-transcriptional regulation. Slow progress in characterizing the function of rice genes is mainly due to a lack of clues to guide functional studies or functional redundancy. These limitations can be partially solved by a well-categorized functional classification of FST genes. To create this classification, we used the diverse overviews installed in the MapMan toolkit. Gene Ontology (GO) assignment to FST genes supplemented the limitation of MapMan overviews.

conclusionThe functions of 863 of 1,022 known genes can be evaluated by current FST lines, indicating that FST genes are useful resources for functional genomic studies. We assigned 16,169 out of 29,624 FST genes to 34 MapMan classes, including major three categories such as DNA, RNA and protein. To demonstrate the MapMan application on FST genes, transcriptome analysis was done from a rice mutant of 1-deoxy-D-xylulose 5-phosphate reductoisomerase (DXR) gene with FST. Mapping of 756 down-regulated genes in dxr mutants and their annotation in terms of various MapMan overviews revealed candidate genes downstream of DXR-mediating light signaling pathway in diverse functional classes such as the methyl-D-erythritol 4-phosphatepathway (MEP) pathway overview, photosynthesis, secondary metabolism and regulatory overview. This report provides a useful guide for systematic phenomics and further applications to enhance the key agronomic traits of rice.

Indexed as

DXRFunctional genomicsGene-indexed mutantMapMan analysisRice

Identifiers

PMID27076183
PMCPMC4830809
OpenAlexW2340408884

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.