Evidence map›Paper›PMID 38264479›Full record

ArticleFrontiers in microbiology2023

Vertical transfer and functional characterization of cotton seed core microbiome.

Chongdie Wu, Xin Zhang, Yongbin Fan, Jingyi Ye, Lingjun Dong, YuXiang Wang, YinZheng Ren, HongHong Yong, Ruina Liu, Aiying Wang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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
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  5. 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

10 authors.

Chongdie Wu *College of Life Sciences, Shihezi University, Shihezi, China.
Xin Zhang *College of Life Sciences, Shihezi University, Shihezi, China.
Yongbin FanCollege of Life Sciences, Shihezi University, Shihezi, China.
Jingyi YeCollege of Life Sciences, Shihezi University, Shihezi, China.
Lingjun DongCollege of Life Sciences, Shihezi University, Shihezi, China.
YuXiang WangCollege of Life Sciences, Shihezi University, Shihezi, China.
YinZheng RenCollege of Life Sciences, Shihezi University, Shihezi, China.
HongHong YongCollege of Life Sciences, Shihezi University, Shihezi, China.
Ruina LiuCollege of Life Sciences, Shihezi University, Shihezi, China.
Aiying WangCollege of Life Sciences, Shihezi University, Shihezi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microbiome within plant tissues is pivotal for co-evolution with host plants. This microbiome can colonize the plant, with potential transmission via seeds between parents and offspring, affecting seedling growth and host plant adaptability to the environment. Methods: We employed 16S rRNA gene amplicon analysis to investigate the vertical distribution of core microbiome in cotton seeds across ecological niches [rhizosphere, root, stem, leaf, seed and seed-P (parental seed)] of the three cotton genotypes. Results: The findings demonstrated a significant decrease in microbiome diversity and network complexity from roots, stems, and leaves to seeds. The microenvironment exerted a more substantial influence on the microbiome structure of cotton than the genotypes. The core endophytic microorganisms in cotton seeds comprised 29 amplicon sequence variants (ASVs) affiliated with Discussion: In conclusion, this study demonstrated the crucial role of the microenvironment in influencing the cotton microbiome and offered insights into the structures and functions of the cotton seed microbiome, facilitating future crop yield enhancement through core seed microbiome regulation.

Indexed as

cotton microbiomefunctional traitshigh-throughput sequencingseed endophytic microbiomevertical transfer

Identifiers

PMID38264479
PMCPMC10803423

What OpenQuestion holds

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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.