Evidence map›Paper›PMID 29430376›Full record

Article3 Biotech2018

Whole-genome resequencing and transcriptomic analysis of genes regulating anthocyanin biosynthesis in black rice plants.

Jae-Hyeon Oh, Ye-Ji Lee, Eun-Ju Byeon, Byeong-Chul Kang, Dong-Soo Kyeoung, Chang-Kug Kim

Open access · hybridAbstract read
In one paragraph

Article in 3 Biotech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Jae-Hyeon OhGenomics Division, National Institute of Agricultural Sciences, Jeonju, 54874 Korea.
Ye-Ji Lee2Department of Environmental Resources, Sangmyung University, Cheonan, 31066 Korea.
Eun-Ju Byeon3Department of Crop Science and Biotechnology, Chonbuk National University, Jeonju, 54896 Korea.
Byeong-Chul Kang4Codes Division, Insilicogen Inc., Suwon, 16954 Gyeonggi-do Korea.
Dong-Soo Kyeoung4Codes Division, Insilicogen Inc., Suwon, 16954 Gyeonggi-do Korea.
Chang-Kug KimGenomics Division, National Institute of Agricultural Sciences, Jeonju, 54874 Korea.ORCID 0000-0002-8770-1736
Insilicogen (South Korea) · KRNational Academy of Agricultural Sciences · INJeonbuk National University · KRSangmyung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthocyanins are involved in many diverse functions in rice, but their benefits have yet to be clearly demonstrated. Our objective in this study was to identify anthocyanin-related genes in black rice plants. We identified anthocyanin-related genes in black rice plants using a combination of whole-genome resequencing, RNA-sequencing (RNA-seq), microarray experiments, and reverse-transcriptase polymerase chain reaction (RT-PCR). Using multi-layer screening from 30 rice accessions, we identified 172,922 single-nucleotide polymorphisms (SNPs) and 1276 differentially expressed genes that appear to be related to anthocyanin biosynthesis. We identified 18 putative genes from 172,922 SNPs using intensive selective sweeps. The 18 candidate genes identified from SNPs were not significantly correlated with the RNA-seq expression pattern or other well-known anthocyanin biosynthesis/metabolism genes. We also identified nine putative genes from 1276 differentially expressed genes using RNA-seq transcriptome analysis. In addition, we identified four phylogenetic groups from these nine candidate genes and 51 pathway-network genes. Finally, we verified nine anthocyanin-related genes using a newly designed microarray and semi-quantitative RT-PCR. We suggest that these nine identified genes appear to be related to the regulation of anthocyanin biosynthesis and/or metabolism.

Indexed as

Anthocyanin biosynthesisBlack riceRice resequencingTranscriptomic analysis

Identifiers

PMID29430376
PMCPMC5801106
OpenAlexW2787620348

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.