ArticleInternational journal of molecular sciences2022
Establishment and Validation of a New Analysis Strategy for the Study of Plant Endophytic Microorganisms.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Composition and Differentiation of the Seed-Associated Microbiome in Rapeseed Seeds as Studied Through 218 Rapeseed Transcriptomes.International journal of molecular sciences · 2026Article
- Soil Nutrient Availability By Beneficial Bacteria of Forest Trees: From Mechanisms To Applications.Microbial ecology · 2026Review
- Insight into the composition and differentiation of endophytic microbial communities in kernels via 368 maize transcriptomes.Journal of advanced research · 2025Article
- Decoding endosperm endophytes in Pinus armandi: a crucial indicator for host response to climate change.BMC microbiology · 2025Article
- Metagenomic study reveals hidden relationships among fungal diversity, variation of plant disease, and genetic distance inFrontiers in plant science · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
Amplicon sequencing of bacterial or fungal marker sequences is currently the main method for the study of endophytic microorganisms in plants. However, it cannot obtain all types of microorganisms, including bacteria, fungi, protozoa, etc., in samples, nor compare the relative content between endophytic microorganisms and plants and between different types of endophytes. Therefore, it is necessary to develop a better analysis strategy for endophytic microorganism investigation. In this study, a new analysis strategy was developed to obtain endophytic microbiome information from plant transcriptome data. Results showed that the new strategy can obtain the composition of microbial communities and the relative content between plants and endophytic microorganisms, and between different types of endophytic microorganisms from the plant transcriptome data. Compared with the amplicon sequencing method, more endophytic microorganisms and relative content information can be obtained with the new strategy, which can greatly broaden the research scope and save the experimental cost. Furthermore, the advantages and effectiveness of the new strategy were verified with different analysis of the microbial composition, correlation analysis, inoculant content test, and repeatability test.
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