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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10606 - Microbiology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

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

ISBN

9780443184468

Počet stran výsledku

17

Strana od-do

(2024)

Počet stran knihy

386

Název nakladatele

Academic Press

Místo vydání

Cambridge

Kód UT WoS kapitoly

—