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Tallmon, D. A.

Publications and source records attributed to Tallmon, D. A..

2 recordsLinked to original sources

A major effect locus involved in migration timing is shared by pink and sockeye salmon

AbstractWhole genome duplication (WGD) provides evolutionary opportunities to increase biological complexity and phenotypic diversity by selective retention of duplicated genes. We identify a small genomic region in salmon that governs complex life history variation and has diversified across four WGDs to fine-tune trait expression. Within this region, three large-effect loci on three chromosomes modulate migration timing across four species - a critical trait optimizing fitness by synchronizing reproduction and environmental conditions. Life history and genome resequencing data support intraspecific evolution of polymorphisms related to early- and late-reproducing phenotypes. We demonstrate that the repeated evolution of loci underlying reproductive timing carries the signature of WGD-facilitated adaptive evolution. This adaptation is driven by the subsequent subfunctionalization of genes within the highly conserved HPG axis, which regulates vertebrate reproduction.

genomics↗

Environmental DNA for the enumeration and management of Pacific salmon

Pacific salmon are a keystone resource in Alaska, generating annual revenues of well over [~]US$500 million/yr. Due to their anadromous life history, adult spawners distribute amongst thousands of streams, posing a huge management challenge. Currently, spawners are enumerated at just a few streams because of reliance on human counters and, rarely, sonar. The ability to detect organisms by shed tissue (environmental DNA, eDNA) promises a more efficient counting method. However, although eDNA correlates generally with local fish abundances, we do not know if eDNA can accurately enumerate salmon. Here we show that daily, and near-daily, flow-corrected eDNA rate closely tracks daily numbers of returning sockeye and coho spawners and outmigrating sockeye smolts. eDNA thus promises accurate and efficient enumeration, but to deliver the most robust numbers will need higher-resolution stream-flow data, at-least-daily sampling, and a focus on species with simple life histories, since shedding rate varies amongst jacks, juveniles, and adults.

ecology↗