Evidence map›Paper›PMID 42894575›Full record

ArticleCurrent research in microbial sciences2026

Biases in high throughput sequencing methods affect microbial molecular ecology networks and keystone taxa identification in the

Tao Fu, Shuang-Yan Hu, Jing-Zhong Chen, Qing-Wen Sun, Xiao-Feng Liao, Xiao-Long Huang

Abstract read
In one paragraph

Article in Current research in microbial sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Tao FuSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Shuang-Yan HuSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Jing-Zhong ChenSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Qing-Wen SunSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Xiao-Feng LiaoGuizhou Academy of Sciences, Guiyang, 550025, China.
Xiao-Long HuangGuizhou Academy of Forestry, Guiyang, 550025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rhizosphere and phyllosphere microbial symbiotic interactions are crucial factors affecting plant health and productivity. How to authentically reflect the species interactions and assembly processes that shape shaping microbial communities has attracted extensive attention from ecologists. The construction of most microbial networks relies on amplicon sequencing data, neglecting both total microbial biomass and inter-domain interactions. The impacts of sequencing resolution ratio, microbial domain, and quantification methods on microbial interspecies interactions and network parameters still require further exploration. In this study, the rhizosphere and phyllosphere microbial communities of

Indexed as

Endangered speciesHigh throughput sequencingMicrobial assemblyMicrobial networksVolatile organic compounds

Identifiers

PMID42894575
PMCPMC13676712

What OpenQuestion holds

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Registered trials

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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.