ArticleAmerican journal of botany2025
qPCR-based quantification reveals high plant host-specificity of endophytic colonization levels in leaves.
Article in American journal of botany, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Ecological drift and host filtering jointly structure foliar endophytes during ecosystem development.Environmental microbiome · 2026Article
- Genome-Driven Functional Validation ofMicroorganisms · 2025Article
- qPCR-based quantification reveals high plant host-specificity of endophytic colonization levels in leaves.American journal of botany · 2025Article
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Authors and funding
6 authors.
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Abstract
premiseDespite the high functional importance of endophytes, we still have limited understanding of the biotic and abiotic factors that influence colonization of plant hosts along major ecological gradients and lack quantitative estimates of their colonization extent. In this study, we hypothesized that the developmental stage of the ecosystem will affect the levels of bacterial and fungal endophytic assemblages in the foliar endosphere.
methodsWe quantified levels of bacterial and fungal endophytes in leaves of four plant hosts at four stages of vegetation succession using an optimized qPCR protocol with bacteria-specific 16S and fungi-targeting primers.
results(1) The ecosystem developmental stage did not have a significant effect on the colonization levels of bacterial or fungal endophytes. (2) Colonization levels by bacterial and fungal endophytes were governed by different mechanisms. (3) Endophytic colonization levels and their relationship to foliar tissue stoichiometry were highly host specific.
conclusionsQuantifying colonization levels is important in the study of endophytic ecology, and the fast, relatively low-cost qPCR-based method can supply useful ecological information, which can significantly enhance the interpretation potential of descriptive data generated, for example, by next-generation sequencing.
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