Evidence map›Paper›PMID 41000006›Full record

ArticlePlant, cell & environment2026

Contrasting Microbial Taxonomic and Functional Colonisation Patterns in Wild Populations of the Pan-Palaeotropical C4 Grass, Themeda triandra.

Riley J Hodgson, Christian Cando-Dumancela, Tarryn Davies, Elizabeth A Dinsdale, Michael P Doane, Robert A Edwards, Craig Liddicoat, Shawn D Peddle, Sunita A Ramesh, Jake M Robinson and 1 more

Abstract read
In one paragraph

Article in Plant, cell & environment, 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

11 authors.

Riley J HodgsonCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0002-8043-2473
Christian Cando-DumancelaCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0003-0186-0056
Tarryn DaviesCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0002-0987-8018
Elizabeth A DinsdaleCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0002-2177-203X
Michael P DoaneCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0001-9820-2193
Robert A EdwardsCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0001-8383-8949
Craig LiddicoatCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0002-4812-7524
Shawn D PeddleCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0003-3464-3058
Sunita A RameshCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0003-2230-4737
Jake M RobinsonCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.
Martin F BreedCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0001-7810-9696

Funding

This metagenomics sequencing for this project was supported by the Flinders University Accelerator for Microbiome Exploration. We also received funding from the Holsworth Wildlife Research Endowment with the Ecological Society of Australia, the Conservation Biology Grant 2022 with the Biological Society of South Australia and Nature Conservation Society of South Australia and the Lirabenda Wildlife Research Fund from the Field Naturalists Society of South Australia. We also received support from the Australian Research Council (grant numbers LP190100051 and LP190100484) and the New Zealand Ministry of Business Innovation and Employment (grant UOWX2101).
6 · The paper itself

Abstract

The interactions between native plants and soil microbiota are not well characterised, despite growing recognition of their importance for host plant fitness and ecological functioning. We used shotgun metagenomics to examine microbial taxonomic and functional colonisation patterns in wild populations of the pan-palaeotropical C4 grass, Themeda triandra, across a globally representative aridity gradient (aridity index 0.318-0.903). We investigated these patterns through the two-step selection process whereby microbes are recruited from bulk soils into rhizospheres (soil on the root surface), and root interiors (endospheres). We provide clear evidence of this process through decreasing microbial taxonomic diversity from bulk soil to T. triandra roots. Surprisingly, microbial functional potential showed the opposite trend: the diversity of potential functions (exponent of Shannon's diversity) increased from bulk soil to the rhizosphere and endosphere, but functional richness did not. Finally, we found that increasing aridity was associated with rhizospheres that were more compositionally similar, yet remained highly diverse in functional potential. Overall, aridity is strongly associated with the root-associated microbiome of T. triandra, selecting for microbiota that likely support plant resilience under dry conditions. Furthermore, microbial functional potential closely tracks taxonomic composition and aridity trends, highlighting how native plants can shape their microbial communities.

Indexed as

MicrobiotaPoaceaeSoil MicrobiologyBiodiversityMetagenomicsPlant RootsRhizospherearidityendospheremicrobial ecologyplant–soil (below‐ground) interactionsrhizosphereshotgun metagenomicsThemeda triandratwo‐step selection process

Identifiers

PMID41000006
PMCPMC12675983

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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.