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A guide for the analysis of plant microbial communities through high-throughput sequencing methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F24%3A00604033" target="_blank" >RIV/61388971:_____/24:00604033 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/B978-0-443-18446-8.00010-3" target="_blank" >http://dx.doi.org/10.1016/B978-0-443-18446-8.00010-3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/B978-0-443-18446-8.00010-3" target="_blank" >10.1016/B978-0-443-18446-8.00010-3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A guide for the analysis of plant microbial communities through high-throughput sequencing methods

  • Original language description

    Plant microbiome research allows an understanding of microbial functions and their ecology. This knowledge can be applied to develop efficient biofertilizers based on the most relevant taxa or functions of the microbiome. Nowadays, the advance of high-throughput sequencing methods have enabled us to get sequences from (meta)genomes, (meta)transcriptomes, and marker genes from complete microbial communities. To reach this goal, several programs allow the decoding of many features of the plant microbiome, such as its taxonomic composition and its functions. However, the analysis of this kind of data is not so easy and requires some expertise in bioinformatics. Here we aim to provide a brief introduction to the analysis of high-throughput sequencing data to help researchers be immersed in these methodologies. We include key steps and common workflows in plant microbiome research, including many examples of bioinformatic tools and databases, and mention their inherent biases. We hope this chapter allows researchers that are not used to utilizing next-generation sequencing to be started with these methods easily.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10606 - Microbiology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Microbial Technology for Agro-Ecosystems: Crop Productivity, Sustainability, and Biofortification

  • ISBN

    9780443184468

  • Number of pages of the result

    17

  • Pages from-to

    (2024)

  • Number of pages of the book

    386

  • Publisher name

    Academic Press

  • Place of publication

    Cambridge

  • UT code for WoS chapter