bioRxiv Science⌕ Search

Biology subjects

Birley, T.

Publications and source records attributed to Birley, T..

2 recordsLinked to original sources

Selection mode governs the scaling of genetic load, diversity, and adaptation

Nearly neutral theory predicts that deleterious alleles can behave approximately neutrally when selection is weak relative to genetic drift. For codominant mutations, the conventional nearly neutral threshold is |s| {approx} 1/(2Ne); thus, when Ne = 500, a mutation with |s| = 0.001 lies at this threshold. For strongly recessive mutations, however, newly arisen copies occur mainly in heterozygotes, so selection is much weaker while they are rare. We used forward-time simulations to test whether competitive soft selection can purge strongly recessive deleterious mutations that behave as nearly neutral under hard selection. The focal mutations had s = -0.001 and h = 0.01, placing their effect when rare about 50-fold below the corresponding nearly neutral threshold. Under hard selection, these mutations behaved almost neutrally, continuing to accumulate, with some reaching fixation. Under rank-based soft selection, accumulation was strongly suppressed; at high fecundity, mutations remained at low frequency and none reached fixation. Purging strengthened as more candidates competed for a fixed number of recruitment opportunities. A pairwise tournament produced the same qualitative but slightly weaker pattern. Thus, competitive soft selection can purge rare, recessive deleterious mutations whose effects fall well below the nearly neutral threshold under hard selection. By acting on aggregate multilocus fitness differences, relative competition may reduce genetic load and susceptibility to inbreeding depression. These findings are also relevant to genic capture, whereby many weak effects of deleterious mutations contribute to genome-wide genetic quality that can be exposed through competition and sexual selection.

evolutionary biology↗

Genomic erosion in the assessment of species extinction risk and recovery potential

Many species are undergoing rapid population declines and environmental deterioration, leading to genomic erosion, the loss of genetic diversity, accumulation of deleterious mutations, maladaptation, and introgression, that undermines fitness and long-term viability. Critically, this process continues even after demographic recovery due to a time-lagged genetic burden known as drift debt. Current conservation assessments, such as the IUCN Red List, focus on short-term extinction risk and do not capture the long-term consequences of genomic erosion. Likewise, the longer-term assessments of the IUCN Green Status may overestimate population recovery by failing to account for the lasting effects of genomic erosion. As genome sequencing becomes increasingly accessible, there is a growing opportunity to quantify genomic erosion and integrate it into conservation planning. Here, we use genomic simulations to illustrate how how different genomic metrics are sensitive to the drift debt. We test how ancestral effective population size (Ne) and bottleneck history influence the tempo and severity of genomic erosion, and demonstrate how these dynamics shape genetic load and additive genetic variation, key indicators of long-term evolutionary potential. Finally, we present a proof-of-concept for a Genomic Green Status framework that aligns genomic metrics with conservation impact assessments, laying the foundation for genomics-informed strategies to support species recovery.

genomics↗