ReviewFrontiers in plant science2014
Metagenomic search strategies for interactions among plants and multiple microbes.
Review in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Analysis of causal pathogens of mulberry bacterial blight in samples collected from eight provinces of China using culturomics and metagenomic sequencing methods.Frontiers in plant science · 2025Article
- Improvement of growth, yield and associated bacteriome of rice by the application of probioticFrontiers in microbiology · 2023Article
- Delineation of mechanistic approaches of rhizosphere microorganisms facilitated plant health and resilience under challenging conditions.3 Biotech · 2022Review
- Uncovering fungal community composition in natural habitat of Ophiocordyceps sinensis using high-throughput sequencing and culture-dependent approaches.BMC microbiology · 2020Article
- Rhizosphere microbiome: Engineering bacterial competitiveness for enhancing crop production.Journal of advanced research · 2020Review
- Geographical and Cultivar Features Differentiate Grape Microbiota in Northern Italy and Spain Vineyards.Frontiers in microbiology · 2018Article
- Pyrosequencing analysis revealed complex endogenetic microorganism community from natural DongChong XiaCao and its microhabitat.BMC microbiology · 2016Article
- Tracking cashew economically important diseases in the West African region using metagenomics.Frontiers in plant science · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants harbor multiple microbes. Metagenomics can facilitate understanding of the significance, for the plant, of the microbes, and of the interactions among them. However, current approaches to metagenomic analysis of plants are computationally time consuming. Efforts to speed the discovery process include improvement of computational speed, condensing the sequencing reads into smaller datasets before BLAST searches, simplifying the target database of BLAST searches, and flipping the roles of metagenomic and reference datasets. The latter is exemplified by the e-probe diagnostic nucleic acid analysis approach originally devised for improving analysis during plant quarantine.
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Registered trials
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