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1. Geographical patterns of intraspecific genetic diversity reflect the adaptive potential of the coral Pocillopora damicornis species complex

   https://doi.org/10.1371/journal.pone.0316380  

   Carr, M; Kratochwill, C; Daly-Engel, T; Crombie, T; van_Woesik, R (January 2025, PLOS ONE)

   Tavakoli-Kolour, Parviz (Ed.)

   Marine heatwaves are increasing in intensity and frequency however, responses and survival of reef corals vary geographically. Geographical differences in thermal tolerance may be in part a consequence of intraspecific diversity, where high-diversity localities are more likely to support heat-tolerant alleles that promote survival through thermal stress. Here, we assessed geographical patterns of intraspecific genetic diversity in the ubiquitous coralPocillopora damicornisspecies complex using 428 sequences of the Internal Transcribed Spacer 2 (ITS2) region across 44 sites in the Pacific and Indian Oceans. We focused on detecting genetic diversity hotspots, wherein some individuals are likely to possess gene variants that tolerate marine heatwaves. A deep-learning, multi-layer neural-network model showed that geographical location played a major role in intraspecific diversity, with mean sea-surface temperature and oceanic regions being the most influential predictor variables differentiating diversity. The highest estimate of intraspecific variation was recorded in French Polynesia and Southeast Asia. The corals on these reefs are more likely than corals elsewhere to harbor alleles with adaptive potential to survive climate change, so managers should prioritize high-diversity regions when forming conservation goals. 

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2. Machine learning and phylogenetic models identify predictors of genetic variation in Neotropical amphibians

   https://doi.org/10.1111/jbi.14795  

   Amador, Luis; Arroyo‐Torres, Irvin; Barrow, Lisa N (May 2024, Journal of Biogeography)

   Abstract AimIntraspecific genetic variation is key for adaptation and survival in changing environments and is known to be influenced by many factors, including population size, dispersal and life‐history traits. We investigated genetic variation within Neotropical amphibian species to provide insights into how natural history traits, phylogenetic relatedness, climatic and geographic characteristics can explain intraspecific genetic diversity. LocationNeotropics. TaxonAmphibians. MethodsWe assembled data sets using open‐access databases for natural history traits, genetic sequences, phylogenetic trees, climatic and geographic data. For each species, we calculated overall nucleotide diversity (π) and tested for isolation by distance (IBD) and isolation by environment (IBE). We then identified predictors ofπ, IBD and IBE using random forest (RF) regression or RF classification. We also fitted phylogenetic generalized linear mixed models (PGLMMs) to predictπ, IBD and IBE. ResultsWe compiled 4052 mitochondrial DNA sequences from 256 amphibian species (230 frogs and 26 salamanders), georeferencing 2477 sequences from 176 species that were not linked to occurrence data. RF regressions and PGLMMs were congruent in identifying range size and precipitation (σ) as the most important predictors ofπ, influencing it positively. RF classification and PGLMMs identified minimum elevation as an important predictor of IBD; most species without IBD tended to occur at higher elevations. Maximum latitude and precipitation (σ) were the best predictors of IBE, and most species without IBE occur at lower latitudes and in areas with more variable precipitation. Main ConclusionsThis study identified predictors of genetic variation in Neotropical amphibians using both machine learning and phylogenetic methods. This approach was valuable to determine which predictors were congruent between methods. We found that species with small ranges or living in zones with less variable precipitation tended to have low genetic diversity. We also showed that Western Mesoamerica, Andes and Atlantic Forest biogeographic units harbour high diversity across many species that should be prioritized for protection. These results could play a key role in the development of conservation strategies for Neotropical amphibians. 

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3. Population and genetic structure of a male-dispersing strepsirrhine, Galago moholi (Primates, Galagidae), from northern South Africa, inferred from mitochondrial DNA

   https://doi.org/10.1007/s10329-021-00912-y  

   Phukuntsi, Metlholo A.; Du Plessis, Morne; Dalton, Desiré L.; Jansen, Raymond; Sauther, Michelle L.; Cuozzo, Frank P.; Kotze, Antoinette (July 2021, Primates)

   The habitats of Galago moholi are suspected to be largely fragmented, while the species is thought to be expanding further into the southernmost fringe of its range, as well as into human settlements. To date, no intraspecific molecular genetic studies have been published on G. moholi. Here we estimate the genetic diversity and connectivity of populations of G. moholi using two mitochondrial gene regions, the cytochrome C oxidase subunit I gene (COI) and the displacement loop of the control region (D-loop). Samples from five localities in northern South Africa were obtained from archived collections. The two mitochondrial DNA gene regions were amplified and sequenced to provide population summary statistics, differentiation [proportion of the total genetic variation in a population relative to the total genetic variance of all the populations (FST), differentiation within populations among regions (ΦST)], genetic distance and structure. There was discernible genetic structure among the individuals, with two COI and six D-loop haplotypes belonging to two genetically different groups. There was population differentiation among regions (FST = 0.670; ΦST = 0.783; P < 0.01). However, there were low levels of differentiation among populations, as haplotypes were shared between distant populations. Adjacent populations were as divergent from each other as from distant populations. The results suggest that genetic introgression, most likely due to past migrations or recent unintentional translocations that include the animal trade, may have led to connectivity among populations. 

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4. Has past climate change affected cold-specialized species differentially through space and time?

   https://doi.org/10.1111/syen.12341  

   Schoville, S.D.; Bougie, T.A.; Dudko, R.Y.; Medeiros, M.J. (January 2019, Systematic entomology)

   Quaternary climate change has been strongly linked to distributional shifts and recent species diversification. Montane species, in particular, have experienced enhanced isolation and rapid genetic divergence during glacial fluctuations, and these processes have resulted in a disproportionate number of neo-endemic species forming in high elevation habitats. In temperate montane environments, a general model of alpine population history is well supported, where cold-specialized species track favorable climate conditions downslope during glacial episodes and upslope during warmer interglacial periods, which leads to a climate-driven population or species diversification pump. However, it remains unclear how geography mediates distributional changes and whether certain episodes of glacial history have differentially impacted rates of diversification. We address these questions by examining phylogenomic data in a North American clade of flightless, cold-specialized insects, the ice crawlers (Insecta: Grylloblattodea: Grylloblattidae: Grylloblatta). These low vagility organisms have the potential to reveal highly localized refugia and patterns of spatial recolonization, as well as a longer history of in situ diversification. Using continuous phylogeographic analysis of species groups, we show that all species tend to retreat to nearby low elevation habitats across western North America during episodes of glaciation, but species at high latitude exhibit larger distributional shifts. Lineage diversification was examined over the course of the Neogene and Quaternary periods, with statistical analysis supporting a direct association between climate variation and diversification rate. Major increases in lineage diversification appear correlated to warm and dry periods, rather than extreme glacial events. Finally, we identify substantial cryptic diversity among ice crawlers, leading to high endemism across their range. This diversity provides new insights into highly localized glacial refugia for cold-specialized species across western North America. 

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5. Simulations of Life History Variation for Demographic Inference From Population Genomic Data

   https://doi.org/10.1111/mec.70155  

   Mascarenhas, Rilquer; Hickerson, Michael J; Carnaval, Ana Carolina (November 2025, Molecular Ecology)

   ABSTRACT Ecological differences among species, particularly dispersal capacity and life history strategies, influence population response to environmental changes. Genetic simulations now allow us to directly incorporate this variation into models of past demographic changes. However, the impact of life history strategies in demographic inference has been far less explored relative to that of dispersal capacity. Here, we utilise individual‐based simulations of a non‐Wright‐Fisher population to ask whether differences in life history traits (the average age of first reproduction of individuals, the average adult mortality and the average number of mates per reproductive season) lead to consistent and predictable differences in the summary statistics of genetic diversity commonly used for simulation‐based parameter estimation and demographic inference. Using a Random Forest model, we also estimate three population parameters (variance in reproductive success, generation time and effective population size) from genome‐wide SNP variation for two bird species known to have distinct life history strategies. The results demonstrate that life history variation leads to predictable differences in patterns of genetic diversity: higher values of life history traits, representing extreme polygamy, long adult longevity and later onset of reproduction, are associated with higher variance in reproductive success, longer generation times, smaller effective population sizes and overall lower genetic diversity. Parameter estimates from empirical datasets also agree with the general expectation that polygamic species with later onset of reproduction and long adult longevity exhibit higher variance in reproductive success, longer generation times and smaller effective population sizes. Since the signal of life history differences is observed in the genetic summary statistics, we argue that simulation‐ and model‐based multi‐species demographic inference will gain from the incorporation of life history information. 

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