Population genomics meets the taxonomy of cyanobacteria

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15410%2F23%3A73621709" target="_blank" >RIV/61989592:15410/23:73621709 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989592:15310/23:73621709

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2211926423001613" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2211926423001613</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.algal.2023.103128" target="_blank" >10.1016/j.algal.2023.103128</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Population genomics meets the taxonomy of cyanobacteria

Popis výsledku v původním jazyce

The emergence of cyanobacterial species (speciation) is driven by mutation, selection, gene flow, and geographical and ecological isolation. Population genomics explores the process of speciation and in turn provides information for our understanding of evolution, diversity, and systematics. However, very little is known about speciation in cyanobacteria, and no framework exists to apply population genomics to taxonomy. Here we review the forces driving the speciation of cyanobacteria and the application of population genomics to taxonomy. We start by discussing species divergence, selection, gene flow, and the phases of speciation. Then we focus on the most frequently used species concepts and their application using population genomics and methods of species delimitation using examples of Prochlorococcus, Microcystis, and Laspinema. Finally, we present guidelines for the methods and techniques of population genomics and their application in the taxonomy of cyanobacteria. Population genomics provides the tools and approaches to bridge species&apos; biology, evolution, and delimitation. Ultimately, this brings taxonomic decisions as close as possible to natural processes.

Název v anglickém jazyce

Population genomics meets the taxonomy of cyanobacteria

Popis výsledku anglicky

The emergence of cyanobacterial species (speciation) is driven by mutation, selection, gene flow, and geographical and ecological isolation. Population genomics explores the process of speciation and in turn provides information for our understanding of evolution, diversity, and systematics. However, very little is known about speciation in cyanobacteria, and no framework exists to apply population genomics to taxonomy. Here we review the forces driving the speciation of cyanobacteria and the application of population genomics to taxonomy. We start by discussing species divergence, selection, gene flow, and the phases of speciation. Then we focus on the most frequently used species concepts and their application using population genomics and methods of species delimitation using examples of Prochlorococcus, Microcystis, and Laspinema. Finally, we present guidelines for the methods and techniques of population genomics and their application in the taxonomy of cyanobacteria. Population genomics provides the tools and approaches to bridge species&apos; biology, evolution, and delimitation. Ultimately, this brings taxonomic decisions as close as possible to natural processes.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10611 - Plant sciences, botany

Projekt

<a href="/cs/project/GJ19-12994Y" target="_blank" >GJ19-12994Y: Genomická a geografická diversifikace v průběhu speciace sinic</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Algal Research-Biomass Biofuels and Bioproducts

ISSN

2211-9264

e-ISSN

—

Svazek periodika

72

Číslo periodika v rámci svazku

MAY

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

16

Strana od-do

"03128-1"-"103128-16"

Kód UT WoS článku

001006532400001

EID výsledku v databázi Scopus

2-s2.0-85156141628