Evidence map›Paper›PMID 41900355›Full record

ArticleMicroorganisms2026

DNA-Based Bacterial Community Profiles in Air-Dried Historical Soil Archives Are More Representative than Those from Rewetted Soils.

Peng Lu, Bingjie Ji, Yuan Yan, Shulan Zhang, Xueyun Yang

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Peng LuShijiazhuang Institute of Pomology, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050061, China.ORCID 0000-0001-8256-4069
Bingjie JiCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Xianyang 712100, China.
Yuan YanCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Xianyang 712100, China.
Shulan ZhangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Xianyang 712100, China.
Xueyun YangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Xianyang 712100, China.

Funding

National Key Research and Development Program of China 2017YFD0200205The Ministry of Agriculture and Rural Affairs of China under Special funds for the Operation and Maintenance of Scientific Research Facilities G2022-07-2the talents construction project of science and technology innovation, Hebei Academy of Agri-culture and Forestry Sciences C25R0705
6 · The paper itself

Abstract

Recording and tracking the long-term dynamic changes in microbial populations is as essential as monitoring other soil properties for evaluating soil quality and health; however, this area has significantly lagged due to technical constraints and challenges in storing fresh soil samples. Historically archived soil samples offer a unique opportunity to characterize the temporal dynamics of microorganisms over several decades. To determine whether archived air-dried soils can be utilized for this purpose, we compared the structure and composition of bacterial communities across fresh soils, air-dried soil archives stored for varying durations, and their corresponding rewetted counterparts, all sourced from a long-term fertilization experiment on calcareous loess soil. Soil microbial features were characterized using the MiSeq sequencing platform. The results indicated that the similarity of DNA-based bacterial community composition between fresh soil and both archived and rewetted soils followed a downward quadratic curve as archiving time increased. Specifically, the DNA-based community structure of soils air-dried and preserved for one year, as well as those rewetted after eight years of archiving, remained highly similar to that of fresh soil. Regarding taxonomic shifts, the relative abundance of

Indexed as

loess soilmicrobial featuresMiSeq sequencingrelative abundancetemporal dynamics

Identifiers

PMID41900355
PMCPMC13029469

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.