The new generation of sequencing and its application in population genetics, phylogeography, and systematics

The advent of next-generation sequencing (NGS) has dismantled longstanding barriers in evolutionary biology. Once constrained by limited molecular markers, researchers now navigate vast genomic landscapes to reconstruct species histories, map adaptive loci, resolve taxonomic disputes, and investigate plant–microbe interactions. This special issue highlights how NGS tools—from ddRAD-seq to whole-genome skimming—are redefining population genetics, phylogeography, systematics, and ecology, offering insights at scales previously unimaginable.

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Publication Details

Journal
Botanical Sciences
Published
2025-09-01
DOI
https://doi.org/10.17129/botsci.3791
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
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article

The new generation of sequencing and its application in population genetics, phylogeography, and systematics

Antonio González‐Rodríguez, Jonás A. Aguirre‐Liguori, Eduardo Ruíz-Sánchez
1 links
Botanical Sciences
Genetic diversity and population structure
article

The new generation of sequencing and its application in population genetics, phylogeography, and systematics

Antonio González‐Rodríguez, Jonás A. Aguirre‐Liguori, Eduardo Ruíz-Sánchez
article en

Abstract

The advent of next-generation sequencing (NGS) has dismantled longstanding barriers in evolutionary biology. Once constrained by limited molecular markers, researchers now navigate vast genomic landscapes to reconstruct species histories, map adaptive loci, resolve taxonomic disputes, and investigate plant–microbe interactions. This special issue highlights how NGS tools—from ddRAD-seq to whole-genome skimming—are redefining population genetics, phylogeography, systematics, and ecology, offering insights at scales previously unimaginable.

Botanical SciencesVol. 103(Special)
Universidad de Guadalajara (MX), Universidad de Morelia (MX), Instituto de Botânica (BR), Autonomous University of Yucatán (MX), Instituto Tecnológico de Morelia (MX)
Openalex Percentile: Top 75%
Genetic diversity and population structure
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