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The genomic footprint of whaling and isolation in fin whale populations

Nature Communications 2023 29 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Sergio F. Nigenda‐Morales, Jorge Urbán R., Meixi Lin, Paulina G. Nuñez-Valencia, Christopher C. Kyriazis, Jorge Urbán R., Annabel C. Beichman, Élie Poulin, Lorena Viloria‐Gómora, Jacqueline A. Robinson, Élie Poulin, Aaron P. Ragsdale, Jorge Urbán R., Jorge Urbán R., Frederick I. Archer, Lorena Viloria‐Gómora, Jorge Urbán R., María José Pérez‐Álvarez, Élie Poulin, Kirk E. Lohmueller, Andrés Moreno‐Estrada, Robert K. Wayne

Summary

Researchers analyzed whole genomes from 50 fin whales in the Eastern North Pacific and Gulf of California, finding that 20th century industrial whaling caused a 99% collapse in effective population size. A small, isolated Gulf of California population avoided whaling and retained genetic viability largely due to rare but crucial gene flow from neighboring populations.

Twentieth century industrial whaling pushed several species to the brink of extinction, with fin whales being the most impacted. However, a small, resident population in the Gulf of California was not targeted by whaling. Here, we analyzed 50 whole-genomes from the Eastern North Pacific (ENP) and Gulf of California (GOC) fin whale populations to investigate their demographic history and the genomic effects of natural and human-induced bottlenecks. We show that the two populations diverged ~16,000 years ago, after which the ENP population expanded and then suffered a 99% reduction in effective size during the whaling period. In contrast, the GOC population remained small and isolated, receiving less than one migrant per generation. However, this low level of migration has been crucial for maintaining its viability. Our study exposes the severity of whaling, emphasizes the importance of migration, and demonstrates the use of genome-based analyses and simulations to inform conservation strategies.

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