Evidence map›Paper›PMID 36555415›Full record

ArticleInternational journal of molecular sciences2022

Understanding the Potential Gene Regulatory Network of Starch Biosynthesis in Tartary Buckwheat by RNA-Seq.

Juan Huang, Bin Tang, Rongrong Ren, Min Wu, Fei Liu, Yong Lv, Taoxiong Shi, Jiao Deng, Qingfu Chen

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. HarnessingFrontiers in plant science · 2024
    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

9 authors.

Juan HuangResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Bin TangResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Rongrong RenResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Min WuResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Fei LiuResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Yong LvResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Taoxiong ShiResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Jiao DengResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.
Qingfu ChenResearch Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China.

Funding

National Natural Science Foundation of China 32060508, 31860408the Earmarked Fund for China Agriculture Research System CRAS-07-A5the Science and Technology Foundation of Guizhou Province QianKeHeJiChu-ZK[2021]General109, QianKeHeJiChu[2020]1Y095
6 · The paper itself

Abstract

Starch is a major component of crop grains, and its content affects food quality and taste. Tartary buckwheat is a traditional pseudo-cereal used in food as well as medicine. Starch content, granule morphology, and physicochemical properties have been extensively studied in Tartary buckwheat. However, the complex regulatory network related to its starch biosynthesis needs to be elucidated. Here, we performed RNA-seq analyses using seven Tartary buckwheat varieties differing in starch content and combined the RNA-seq data with starch content by weighted correlation network analysis (WGCNA). As a result, 10,873 differentially expressed genes (DEGs) were identified and were functionally clustered to six hierarchical clusters. Fifteen starch biosynthesis genes had higher expression level in seeds. Four trait-specific modules and 3131 hub genes were identified by WGCNA, with the lightcyan and brown modules positively correlated with starch-related traits. Furthermore, two potential gene regulatory networks were proposed, including the co-expression of

Indexed as

FagopyrumTracheophytaGene Regulatory NetworksRNA-SeqStarchStarchamylopectinamyloseDEGsgene regulatory networkRNA-seqstarch biosynthesisTartary buckwheattranscription factor

Identifiers

PMID36555415
PMCPMC9779217

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.