Embracing the power of genomics to inform evolutionary significant units

Appropriate identification of evolutionary significant units (ESUs) is essential for effective conservation planning. Genomic data has emerged as a key tool to inform ESU decisions, yet it remains unclear how genomic data are being used in practice to identify the number of ESUs. To address this, we conducted a systematic literature review and found that genomic data are increasingly being used to suggest numbers of ESUs globally across plant and animal taxa. However, our review revealed inconsistencies in how ESUs are defined, with many studies not providing a definition. We also found inconsistencies in the methods used to analyze genomic data, highlighting the need for greater standardization to ensure studies adequately address both the discreteness and evolutionary significant components of an ESUs. For example, separation on a PCA or a high Fst cannot ensure evolutionary significance as they may be due to recent processes such as habitat fragmentation. Adaptive loci, a key advantage of genomic data, need to be interpreted with caution and simply identifying these loci may lead to inflated ESU estimates. Overall, we found that 68% of studies suggested an increase in the number of ESUs, and that the amount of gene flow detected did not appear to influence this conclusion. We provide clear definitions of the two key components of ESUs and specify which analyses can be used to assess each, as well as provide recommendations for future studies aiming to identify ESUs with genomic data.

Authors

Institutions

Publication Details

Journal
Journal of Heredity
Published
2026-02-04
DOI
https://doi.org/10.1093/jhered/esag014
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Embracing the power of genomics to inform evolutionary significant units

Jayna C. Bergman, Micheline Manseau, Rebecca S. Taylor
Journal of Heredity
Genetic diversity and population structure
article

Embracing the power of genomics to inform evolutionary significant units

Jayna C. Bergman, Micheline Manseau, Rebecca S. Taylor
article en

Abstract

Appropriate identification of evolutionary significant units (ESUs) is essential for effective conservation planning. Genomic data has emerged as a key tool to inform ESU decisions, yet it remains unclear how genomic data are being used in practice to identify the number of ESUs. To address this, we conducted a systematic literature review and found that genomic data are increasingly being used to suggest numbers of ESUs globally across plant and animal taxa. However, our review revealed inconsistencies in how ESUs are defined, with many studies not providing a definition. We also found inconsistencies in the methods used to analyze genomic data, highlighting the need for greater standardization to ensure studies adequately address both the discreteness and evolutionary significant components of an ESUs. For example, separation on a PCA or a high Fst cannot ensure evolutionary significance as they may be due to recent processes such as habitat fragmentation. Adaptive loci, a key advantage of genomic data, need to be interpreted with caution and simply identifying these loci may lead to inflated ESU estimates. Overall, we found that 68% of studies suggested an increase in the number of ESUs, and that the amount of gene flow detected did not appear to influence this conclusion. We provide clear definitions of the two key components of ESUs and specify which analyses can be used to assess each, as well as provide recommendations for future studies aiming to identify ESUs with genomic data.

Journal of Heredity
Environment and Climate Change Canada (CA)
Life in Land
Openalex Percentile: Top 63%
Genetic diversity and population structure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.