Evidence map›Paper›PMID 37458790›Full record

ArticleMicrobial ecology2023

Soil Micro-eukaryotic Diversity Patterns Along Elevation Gradient Are Best Estimated by Increasing the Number of Elevation Steps Rather than Within Elevation Band Replication.

Shuyin Huang, Guillaume Lentendu, Junichi Fujinuma, Takayuki Shiono, Yasuhiro Kubota, Edward A D Mitchell

Abstract read
In one paragraph

Article in Microbial ecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Shuyin HuangLaboratory of Biodiversity and Conservation Biogeography, University of the Ryukyus, Okinawa, Japan. huangshuyinwml@gmail.com.ORCID http://orcid.org/0009-0002-3247-5230
Guillaume LentenduLaboratory of Soil Biodiversity, University of Neuchâtel, Neuchâtel, Switzerland. guillaume.lentendu@unine.ch.ORCID http://orcid.org/0000-0003-3826-6253
Junichi FujinumaLaboratory of Biodiversity and Conservation Biogeography, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0001-9004-4709
Takayuki ShionoLaboratory of Biodiversity and Conservation Biogeography, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0001-7253-7956
Yasuhiro KubotaLaboratory of Biodiversity and Conservation Biogeography, University of the Ryukyus, Okinawa, Japan.ORCID http://orcid.org/0000-0002-5723-4962
Edward A D MitchellLaboratory of Soil Biodiversity, University of Neuchâtel, Neuchâtel, Switzerland.ORCID http://orcid.org/0000-0003-0358-506X

Funding

Swiss National Science Foundation 182531
6 · The paper itself

Abstract

The development of high-throughput sequencing (HTS) of environmental DNA (eDNA) has stimulated the study of soil microbial diversity patterns and drivers at all scales. However, given the heterogeneity of soils, a challenge is to define effective and efficient sampling protocols that allow sound comparison with other records, especially vegetation. In studies of elevational diversity pattern, a trade-off is choosing between replication within elevation bands vs. sampling more elevation bands. We addressed this question for soil protists along an elevation gradient on Mt. Asahi, Hokkaido, Japan. We compared two sampling approaches: (1) the replicate strategy (five replicates at six elevational bands, total = 30) and (2) the transect strategy (one sample in each of 16 different elevational bands). Despite a nearly twofold lower sampling effort, the transect strategy yielded congruent results compared to the replicate strategy for the estimation of elevational alpha diversity pattern: the regression coefficients between diversity indices and elevation did not differ between the two options. Furthermore, for a given total number of samples, gamma diversity estimated across the entire transect was higher when sampling more elevational bands as compared to replication from fewer elevational bands. Beta diversity (community composition turnover) was lower within a given elevational band than between adjacent bands and increased with elevation distance. In redundancy analyses, soil organic matter-related variable (the first principal component of soil organic matter, water content, total organic carbon, and nitrogen by whom were highly correlated) and elevation best explained elevational beta diversity pattern for both sampling approaches. Taken together, our results suggest that sampling a single plot per elevation band will be sufficient to obtain a good estimate of soil micro-eukaryotic diversity patterns along elevation gradients. This study demonstrated the effectiveness of the transect strategy in estimating diversity patterns along elevation gradients which is instructive for future environmental or even experimental studies. While not advocating for completely replacing replication-based sampling practices, it is important to note that both replicate and transect strategies have their merits and can be employed based on specific research goals and resource limitations.

Indexed as

BiodiversitySoilJapanNitrogenSoil MicrobiologyNitrogenSoilBiogeographyElevational diversityEukaryotic microbeReplicationSampling strategySoil eDNA

Identifiers

PMID37458790
PMCPMC10640418

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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.