Evidence map›Paper›PMID 38192697›Full record

ArticleFrontiers in plant science2023

Raffinose degradation-related gene

Wenhua Chen, Yupeng Cui, Yunxin He, Lanjie Zhao, Ruifeng Cui, Xiaoyu Liu, Hui Huang, Yuexin Zhang, Yapeng Fan, Xixian Feng and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. 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
1.6field-weighted citation impact, top 13% 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, 4 citations in OpenAlex.

  1. Review
  2. 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

24 authors at 4 institutions in 1 country.

Wenhua Chen *Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Yupeng Cui *Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Yunxin He *Hunan Institute of Cotton Science, Changde, Hunan, China.
Lanjie Zhao *Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Ruifeng Cui *Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Xiaoyu LiuInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Hui HuangInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Yuexin ZhangInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Yapeng FanInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Xixian FengInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Kesong NiInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Tiantian JiangInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Mingge HanInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Yuqian LeiInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Mengyue LiuInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Yuan MengInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Xiugui ChenInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Xuke LuInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Delong WangInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Junjuan WangInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Shuai WangInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Lixue GuoInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Quanjia ChenEngineering Research Centre of Cotton, Ministry of Education/College of Agriculture, Xinjiang Agricultural University, Urumqi, China.
Wuwei YeInstitute of Cotton Research of Chinese Academy of Agricultural Sciences/Research Base, Anyang Institute of Technology, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang, Henan, China.
Anyang Institute of Technology · CNChinese Academy of Agricultural Sciences · CNXinjiang Agricultural University · CNCotton Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A-galactosidases (AGALs), the oligosaccharide (RFO) catabolic genes of the raffinose family, play crucial roles in plant growth and development and in adversity stress. They can break down the non-reducing terminal galactose residues of glycolipids and sugar chains. In this study, the whole genome of AGALs was analyzed. Bioinformatics analysis was conducted to analyze members of the AGAL family in

Indexed as

abiotic stressesfunctional verificationGossypium hirsutumraffinose family oligosaccharides (RFOs)α-galactosidase (AGALs)

Identifiers

PMID38192697
PMCPMC10773686
OpenAlexW4389954394

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.