ArticleBMC plant biology2026
Comprehensive in silico analysis of eggNOG-annotated orthologous genes infers functional dynamics and energy metabolism in the microbiome of Abutilon fruticosum.
Article in BMC plant biology, 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
14 authors.
Funding
Abstract
backgroundAbutilon fruticosum is an ecologically and pharmacologically important wild Malvaceae species whose rhizospheric microbiome remains poorly resolved at the level of orthologous-group (OG) genes. Shotgun metagenomic sequencing and eggNOG/COG-based annotation were used to compare rhizosphere and bulk-soil microbiomes, quantify OG repertoires, and infer in silico functional modules.
resultsPrincipal coordinate and Bray-Curtis analyses of COG categories revealed clear functional segregation between rhizosphere and bulk communities, with the rhizosphere enriched in high-abundance OGs linked to energy metabolism, nutrient transport, stress response, and secondary metabolism. Computational ranking identified a cohort of highly recurrent OGs, predominantly associated with Actinobacteria and Proteobacteria but also with Streptophyta, that dominate the predicted functional landscape and are markedly more abundant in silico in rhizospheric soil. Using eggNOG/COG assignments, ten interacting putative functional modules were delineated in silico, encompassing NADH-quinone oxidoreductase-centered bioenergetics, ABC-type nitrogen and sulfur acquisition, fatty-acid and propionate catabolism, sulfur scavenging and detoxification, cell-envelope and biofilm formation, multidrug efflux, DNA maintenance, environmental sensing and transcriptional regulation, specialized competition/protection, and mobile genetic elements. Conceptual, hypothesis-generating frameworks integrating selected modules posit that rhizosphere dominance could arise from the coordinated coupling of ATP/proton motive force (PMF) generation with high-affinity nutrient uptake, sulfur and carbonyl detoxification, iron-sequestering and antioxidant secondary metabolism, and stress-responsive multidrug efflux, based on our analyses.
conclusionsThese predictions suggest that specific OG cohorts act as keystone energetic, metabolic, and defense hubs in the A. fruticosum rhizosphere and provide testable hypotheses for future experimental work linking module-level functions to root colonization, stress tolerance, and plant performance. (249 words).
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.