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Morales, H. E.

Publications and source records attributed to Morales, H. E..

11 recordsLinked to original sources

Conservation rescued the Mauritius kestrel from extinction but not from genomic erosion

Conservation can prevent species extinction via demographic recovery, yet it remains debated whether this translates into genomic recovery and restored fitness. The Mauritius kestrel (Falco punctatus) declined to four known wild birds in 1974 before intensive management recovered the population. Using 130 genomes spanning nearly 200 years, lifetime reproductive success data, and simulations, we reconstructed genomic change across the species collapse and recovery. Long-term small population size had already removed some harmful variation before the crash, a process expected to buffer populations from severe inbreeding depression. Yet the recent bottleneck sharply increased inbreeding, exposed additional harmful variants, and left a signature of genomic erosion associated with reduced reproductive success. The long conservation history of the Mauritius kestrel shows how population collapse and recovery can leave a compounding genetic threat, in which partial genetic purging, continuing genomic erosion, and conservation dependence unfold together in rescued species.

evolutionary biology↗

Genomic erosion through the lens of comparative genomics

Loss of genetic diversity threatens species survival, yet the dynamics of such loss and species responses thereof can vary widely depending on their evolutionary histories, life-history traits and demographic trajectories. Comparative genomics offers a powerful framework to explore the dynamics of genomic erosion across species. Here, we analysed the genomes of three species -- the Mauritius parakeet, the Mauritius kestrel, and the pink pigeon -- that experienced extreme and well-documented population bottlenecks. We compared them to 36 species spanning the avian phylogeny, with varied IUCN Red List statuses to investigate the genomic consequences of their demographic collapses. For each species, we assessed nucleotide diversity, genetic load, and runs of homozygosity (ROH), alongside genome synteny and transposable elements. We found a negative correlation between nucleotide diversity and ROH, but neither metric was a good predictor of the species Red List status. Rather, the population effective to census size ratio showed a strong correlation to Red List status. Moreover, species with larger historical effective population sizes showed greater heterozygosity but carried a higher heterozygous load, highlighting the importance of historical demography to assess species vulnerability to genomic erosion. We found significant differences in homozygous load between taxonomic groups of our target species, possibly due to differences in life-history traits and demographic histories. Genome structure analyses revealed differences in transposable elements and genomic rearrangements between groups, suggesting their potential role in shaping genome architecture and adaptive potential across species. Our findings underscore the value of multispecies comparisons in understanding the evolutionary dynamics of genomic erosion and its relevance for biodiversity conservation.

genomics↗

Persistent genomic erosion in whooping cranes despite demographic recovery

Integrating in-situ (wild) and ex-situ (captive) conservation efforts can mitigate genetic diversity loss and help prevent extinction of endangered wild populations. The whooping crane (Grus americana) experienced severe population declines in the 18th century, culminating into a collapse to 16 individuals in 1941. Legal protections and conservation actions have since increased the population to approximately 840 individuals, yet the impact on genomic diversity remains unclear. We analysed the temporal dynamics of genomic erosion by sequencing a high-quality genome reference, and re-sequencing 16 historical and 37 modern genomes, including wild individuals and four generations of captive-bred individuals. Genomic demographic reconstructions reveal a steady decline, accelerating over the past 300 years with the European settlement of North America. Temporal genomic analyses show that despite demographic recovery, the species has lost 70% of its genetic diversity and has increased their inbreeding. Although the modern population bottleneck reduced the ancestral genetic load, modern populations possess more realized load than masked load, possibly resulting in a chronic loss of fitness. Integrating pedigree and genomic data, we underscore the role of breeding management in reducing recent inbreeding. Yet ongoing heterozygosity loss, load accumulation, and background inbreeding argues against the species downlisting from their current Endangered status on the IUCN Red List and the Endangered Species Act. The presence of private genetic variation in wild and captive populations suggests that wild-captive crosses could enhance genetic diversity and reduce the realized load. Our findings emphasize the role of genomics in informing conservation management and policy.

evolutionary biology↗

Temporal loss of genome-wide and immunogenetic diversity in a near-extinct parrot

Loss of genetic diversity threatens a species adaptive potential and long-term resilience. Predicted to be extinct by 2038, the orange-bellied parrot (Neophema chrysogaster) is a Critically Endangered migratory bird threatened by numerous viral, bacterial and fungal diseases. The species has undergone multiple population crashes, reaching a low of three wild-born females and 13 males in 2016 and is now represented by only a single wild population and individuals in the captive breeding program. Here we used our high-quality long-read reference genome, and contemporary and historical resequenced genomes from as early as 1829, to track the long-term genomic erosion and immunogenetic diversity decline in this species. 62% of genomic diversity was lost between historical (mean autosomal heterozygosity = 0.00149 {+/-} 0.000699 SD) and contemporary (0.00057 {+/-} 0.000026) parrots. A greater number and length of runs of homozygosity in contemporary samples was also observed. A temporal reduction of the number of alleles at Toll-like receptor genes was found (historical average alleles = 5.78 {+/-} 2.73; contemporary = 3.89 {+/-} 2.10), potentially exacerbating disease susceptibility in the contemporary population. Of particular concern is the new threat of avian influenza strain (HPAI) to Australia. We discuss the conservation implications of our findings and propose that hybridization and synthetic biology may be required to address the catastrophic loss of genetic diversity that has occurred this species in order to prevent extinction. Significance statementOrange-bellied parrots (Neophema chrysogaster) face a dire future, with extinction predicted by 2038 due to severe genetic diversity loss. This Critically Endangered species, now reduced to a single wild population and a captive breeding program, has lost 62% of its genomic diversity since 1829. Contemporary samples show a decline in immunogenetic diversity and signs of very recent inbreeding. Meaning birds today are more susceptible to disease events than birds a hundred years ago. Conservation efforts must consider hybridization and synthetic biology to counteract the catastrophic loss of genetic diversity to ensure the species survival. Our study underscores the urgent need for innovative strategies to preserve the adaptive potential and resilience of the orange-bellied parrot and other species in similar situations.

genomics↗

Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales

The bowhead whale, an Arctic endemic, was heavily overexploited during commercial whaling between the 16th-20th centuries1. Current climate warming, with Arctic amplification of average global temperatures, poses a new threat to the species2. Assessing the vulnerability of bowhead whales to near-future predictions of climate change remains challenging, due to lacking data on population dynamics prior to commercial whaling and responses to past climatic change. Here, we integrate palaeogenomics and stable isotope ({delta}13C and{delta} 15N) analysis of 201 bowhead whale fossils from the Atlantic Arctic with palaeoclimate and ecological modelling based on 823 radiocarbon dated fossils, 151 of which are new to this study. We find long-term resilience of bowhead whales to Holocene environmental perturbations, with no obvious changes in genetic diversity or population structure, despite large environmental shifts and centuries of whaling by Indigenous peoples prior to commercial harvests. Leveraging our empirical data, we simulated a time-series model to quantify population losses associated with commercial whaling. Our results indicate that commercial exploitation induced population subdivision and losses of genetic diversity that are yet to be fully realised; declines in genetic diversity will continue, even without future population size reductions, compromising the species resilience to near-future predictions of Arctic warming.

evolutionary biology↗

The ghost of selection past: evolution and conservation relevance of the kakapo color polymorphism

The information contained in population genomic data can tell us much about the past ecology and evolution of species. We leveraged detailed phenotypic and genomic data of nearly all living k[a]k[a]p[o] to understand the evolution of its remarkable feather color polymorphism. The k[a]k[a]p[o] is an endangered and culturally significant parrot endemic to Aotearoa New Zealand, and the green and olive feather colorations are present at similar frequencies in the population. The presence of such a neatly balanced color polymorphism is remarkable because the entire population currently numbers less than 250 birds, which means it has been exposed to severe genetic drift. We dissected the color phenotype, demonstrating that the two colors differ in their light reflectance patterns due to differential feather structure. We used quantitative genomics methods to identify two genetic variants whose epistatic interaction can fully explain the species color phenotype. Our genomic forward simulations show that balancing selection might have been pivotal to establish the polymorphism in the ancestrally large population, and to maintain it during population declines that involved a severe bottleneck. We hypothesize that an extinct apex predator was the likely agent of balancing selection, making the color polymorphism in the k[a]k[a]p[o] a "ghost of selection past".

genomics↗

Understanding the adaptive role of chromosomal inversions across large geographical scales: The potential of pool-seq data

A growing body of research shows that chromosomal inversions, where each arrangement is associated with a certain environment and maintains a set of adaptive alleles, make an important contribution to local adaptation. However, inversions often remain unexplored across large geographical scales. It is unclear whether inversions contribute to adaptation across species ranges, which environmental factors affect arrangement frequencies, and whether the adaptive content of the same arrangement varies between locations. Here, we discuss ideas of how allele frequency data (e.g. pool-sequencing data) can be used to learn about inversions in a simple and cost-effective way. If populations connected by migration differ in arrangement frequency, plotting their SNP allele frequencies against each other will reveal a parallelogram whose corners reflect arrangement frequencies. We demonstrate the usefulness of this approach in locally-adapted populations of the intertidal snail Littorina saxatilis (Olivi). For twelve inversions, we estimate arrangement frequencies in 20 populations across the European species range. While roughly half of the inversions contribute to adaptation to the well-studied contrast between wave-exposed and crab-infested habitats, the other half likely contribute to adaptation to shore height. We also find evidence for geographical variation in arrangement content, suggesting variation in adaptive role.

evolutionary biology↗

Genetic load and adaptive potential of a recovered avian species that narrowly avoided extinction

High genetic diversity is often a good predictor of long-term population viability, yet some species persevere despite having low genetic diversity. Here we study the genomic erosion of the Seychelles paradise flycatcher (Terpsiphone corvina), a species that narrowly avoided extinction after having declined to 28 individuals in the 1960s. The species recovered unassisted to over 250 individuals in the 1990s and was downlisted from Critically Endangered to Vulnerable in the IUCN Red List in 2020. By comparing historical, pre-bottleneck (130+ years old) and modern genomes, we uncovered a 10-fold loss of genetic diversity. The genome shows signs of historical inbreeding during the bottleneck in the 1960s, but low levels of recent inbreeding after the demographic recovery. We show that the proportion of severely deleterious mutations has reduced in modern individuals, but mildly deleterious mutations have remained unchanged. Computer simulations suggest that the Seychelles paradise flycatcher avoided extinction and recovered due to its long-term small Ne. This reduced the masked load and made the species more resilient to inbreeding. However, we also show that the chronically small Ne and the severe bottleneck resulted in very low genetic diversity in the modern population. Our simulations show this is likely to reduce the species adaptive potential when faced with environmental change, thereby compromising its long-term population viability. In light of rapid global rates of population decline, our work highlights the importance of considering genomic erosion and computer modelling in conservation assessments

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↗

Genomic architecture of parallel ecological divergence: beyond a single environmental contrast

The genetic basis of parallel ecological divergence provides important clues to the operation of natural selection and the predictability of evolution. Many examples exist where binary environmental contrasts seem to drive parallel divergence. However, this simplified view can conceal important components of parallel divergence because environmental variation is often more complex. Here, we disentangle the genetic basis of parallel divergence across two axes of environmental differentiation (crab-predation vs. wave-action and low-shore vs. high-shore habitat contrasts) in the marine snail Littorina saxatilis, a well established natural system of parallel ecological divergence. We used whole-genome resequencing across multiple instances of these two environmental axes, at local and regional scales from Spain to Sweden. Overall, sharing of genetic differentiation is generally low but it is highly heterogeneous across the genome and increases at smaller spatial scales. We identified genomic regions, both overlapping and non-overlapping with recently described candidate chromosomal inversions, that are differentially involved in adaptation to each of the environmental axis. Thus, the evolution of parallel divergence in L. saxatilis is largely determined by the joint action of geography, history, genomic architecture and congruence between environmental axes. We argue that the maintenance of standing variation, perhaps as balanced polymorphism, and/or the re-distribution of adaptive variants via gene flow can facilitate parallel divergence in multiple directions as an adaptive response to heterogeneous environments.

evolutionary biology↗

Mitochondrial-nuclear interactions maintain a deep mitochondrial split in the face of nuclear gene flow

Metabolic processes in eukaryotic cells depend on interactions between mitochondrial and nuclear gene products (mitonuclear interactions). These interactions could play a direct role in population divergence. We studied the evolution of mitonuclear interactions in a widespread passerine that experienced population divergence followed by bi-directional mitochondrial introgression into different nuclear backgrounds. Using >60,000 SNPs, we quantified patterns of nuclear genetic differentiation between populations that occupy different climates and harbour deeply divergent mitolineages despite ongoing nuclear gene flow. Analyses were performed independently for two sampling transects intersecting mitochondrial divergence in different nuclear backgrounds. In both transects, low genome-wide nuclear differentiation was accompanied by strong differentiation at a ~15.4 Mb region of chromosome 1A. This region is enriched for genes performing mitochondrial functions. Molecular signatures of selective sweeps in this region alongside those in the mitochondrial genome suggest a history of adaptive mitonuclear co-introgression. The chromosome 1A region has elevated linkage disequilibrium, suggesting that selection on genomic architecture may favour low recombination among nuclear-encoded genes with mitochondrial functions. In this system, mitonuclear interactions appear to maintain the geographic separation of two mitolineages in the face of nuclear gene flow, supporting mitonuclear co-evolution as an important vehicle for climatic adaptation and population divergence.

evolutionary biology↗