Evidence map›Paper›PMID 35812963›Full record

ArticleFrontiers in plant science2022

Network and Evolutionary Analysis Reveals Candidate Genes of Membrane Trafficking Involved in Maize Seed Development and Immune Response.

Chunyan Zheng, Yin Yu, Guiling Deng, Hanjie Li, Faqiang Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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 1 institution in 1 country.

Chunyan ZhengCollege of Life Sciences, South China Agricultural University, Guangzhou, China.
Yin YuCollege of Life Sciences, South China Agricultural University, Guangzhou, China.
Guiling DengCollege of Life Sciences, South China Agricultural University, Guangzhou, China.
Hanjie LiCollege of Life Sciences, South China Agricultural University, Guangzhou, China.
Faqiang LiGuangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, China.
South China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The plant membrane-trafficking system plays a crucial role in maintaining proper cellular functions and responding to various developmental and environmental cues. Thus far, our knowledge of the maize membrane-trafficking system is still limited. In this study, we systematically identified 479 membrane-trafficking genes from the maize genome using orthology search and studied their functions by integrating transcriptome and evolution analyses. These genes encode the components of coated vesicles, AP complexes, autophagy, ESCRTs, retromers, Rab GTPases, tethering factors, and SNAREs. The maize genes exhibited diverse but coordinated expression patterns, with 249 genes showing elevated expression in reproductive tissues. Further WGCNA analysis revealed that five COPII components and four Rab GTPases had high connectivity with protein biosynthesis during endosperm development and that eight components of autophagy, ESCRT, Rab, and SNARE were strongly co-upregulated with defense-related genes and/or with secondary metabolic processes to confer basal resistance to

Indexed as

domesticationendosperm developmentevolutionimprovementmaizemembrane traffickingpathogen resistanceWGCNA

Identifiers

PMID35812963
PMCPMC9263852
OpenAlexW4283381786

What Socratic 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 Socratic graph.