Evidence map›Paper›PMID 33425929›Full record

ArticleFrontiers in cell and developmental biology2020

Regulator Network Analysis of Rice and Maize Yield-Related Genes.

Zheng Chen, Zijie Shen, Lei Xu, Da Zhao, Quan Zou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. RNA-seq profiling of primary calli induced by different media and photoperiods forMolecular breeding : new strategies in plant improvement · 2022
    Article
  3. 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.

Zheng ChenSchool of Applied Chemistry and Biological Technology, Shenzhen Polytechnic, Shenzhen, China.
Zijie ShenInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
Lei XuSchool of Electronic and Communication Engineering, Shenzhen Polytechnic, Shenzhen, China.
Da ZhaoSchool of Applied Chemistry and Biological Technology, Shenzhen Polytechnic, Shenzhen, China.
Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
University of Electronic Science and Technology of China · CNShenzhen Polytechnic · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice and maize are the principal food crop species worldwide. The mechanism of gene regulation for the yield of rice and maize is still the research focus at present. Seed size, weight and shape are important traits of crop yield in rice and maize. Most members of three gene families, APETALA2/ethylene response factor, auxin response factors and MADS, were identified to be involved in yield traits in rice and maize. Analysis of molecular regulation mechanisms related to yield traits provides theoretical support for the improvement of crop yield. Genetic regulatory network analysis can provide new insights into gene families with the improvement of sequencing technology. Here, we analyzed the evolutionary relationships and the genetic regulatory network for the gene family members to predicted genes that may be involved in yield-related traits in rice and maize. The results may provide some theoretical and application guidelines for future investigations of molecular biology, which may be helpful for developing new rice and maize varieties with high yield traits.

Indexed as

crop yieldgene functiongenetic networkmaizephylogeneticrice

Identifiers

PMID33425929
PMCPMC7793993
OpenAlexW3110127934

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.