ArticleISME communications2026
Root traits correlate with crop rhizosphere microbiome diversity independent of legume relatedness.
Article in ISME communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting the composition of rhizosphere microbiomes has become increasingly important for sustainable agriculture. A key open question is whether a plant's rhizosphere community is shaped more by the specific traits or host phylogeny, under different soil conditions. We conducted a greenhouse experiment on 15 legume species, including three pairs of crop-wild relative pairs, under different phosphorus conditions. We then sequenced the bacterial and fungal rhizosphere communities. Using Bayesian models, we found rhizosphere composition was shaped by individual species identity, independent of host phylogeny (intraclass correlation = 0.40-0.79). This suggests that closely related plants do not necessarily share similar rhizosphere microbiomes. These patterns remained consistent across host intraspecific variation and nutrient treatments. Using a custom-built root imaging platform, we quantified root architectural traits and applied machine learning to correlate with rhizosphere community composition (R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.