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Published on: October 23, 2011
Multiplex amplicon sequencing for microbe identification in community-based culture collections
Jaderson Silveira Leite Armanhi1, Rafael Soares Correa de Souza1, Laura Migliorini de Araújo1
1Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil.
We developed a new method for identifying microbes in plant culture collections. This technique uses multiplexing 16S rRNA sequencing to quickly and accurately identify microbial composition, accelerating agricultural microbiome research.
Area of Science:
- Microbiology
- Plant Science
- Bioinformatics
Background:
- Metagenomic sequencing reveals extensive plant-associated microbial diversity.
- Understanding plant-microbe molecular interactions is crucial for agricultural technology development.
- Traditional microbial isolation and identification methods are slow and costly.
Purpose of the Study:
- To introduce a novel method for identifying microbes in community-based culture collections (CBCs).
- To accelerate the discovery of beneficial plant-microbe interactions for agricultural applications.
- To enable accurate microbial identification from cultures containing single or multiple microorganisms.
Main Methods:
- Development of community-based culture collections (CBCs) by picking colonies.
- Application of multiplexing 16S rRNA gene amplicon sequencing with tagged primers for plates, rows, and columns.
- Utilizing PacBio sequencing for near-full-length 16S rRNA gene recovery and accurate microbial identification.
- Cross-referencing CBC data with plant microbiome structure and abundance.
Main Results:
- The multiplexing sequencing method accurately identified microbial composition in wells with single or multiple microorganisms.
- Pooling amplicons into a single tube streamlined the process.
- Near-full-length 16S rRNA gene sequences enabled precise identification of microorganisms.
- Estimated diversity and abundance representation of microorganisms within the CBCs.
Conclusions:
- The described method offers a rapid and cost-effective approach for microbial identification in culture collections.
- This technique facilitates the construction and analysis of CBCs for agricultural microbiome research.
- Accurate characterization of microbial communities in culture collections aids in understanding plant-microbe interactions and developing microbiome-derived technologies.
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