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ABSTRACT Coalescent modelling of hybrid zones can provide novel insights into the historical demography of populations, including divergence times, population sizes, introgression proportions, migration rates and the timing of hybrid zone formation. We used coalescent analysis to determine whether the hybrid zone between phylogeographic lineages of the Plateau Fence Lizard (Sceloporus tristichus) in Arizona formed recently due to human‐induced landscape changes, or if it originated during Pleistocene climatic shifts. Given the presence of mitochondrial DNA from another species in the hybrid zone (Southwestern Fence Lizard,S. cowlesi), we tested for the presence ofS. cowlesinuclear DNA in the hybrid zone as well as reassessed the species boundary betweenS. tristichusandS. cowlesi. No evidence ofS. cowlesinuclear DNA is found in the hybrid zone, and the paraphyly of both species raises concerns about their taxonomic validity. Introgression analysis placed the divergence time between the parental hybrid zone populations at approximately 140 kya and their secondary contact and hybridization at approximately 11 kya at the end of the Pleistocene. Introgression proportions estimated for hybrid populations are correlated with their geographic distance from parental populations. The multispecies coalescent with migration provided significant support for unidirectional migration moving from south to north, which is consistent with spatial cline analyses that suggest a slow but steady northward shift of the centre of the hybrid zone over the last two decades. When analysing hybrid populations sampled along a linear transect, coalescent methods can provide novel insights into hybrid zone dynamics. 

SUMMARY We examined the nature and evolution of three‐dimensional (3D) genome conformation, including topologically associating domains (TADs), in five genomes within the genusOryza. These included three varieties from subspecies within domesticated Asian riceO. sativaas well as their closely related wild relativesO. rufipogonandO. meridionalis. We used the high‐resolution chromosome conformation capture technique Micro‐C, which we modified for use in rice. Our analysis of rice TADs shows that TAD boundaries have high transcriptional activity, low methylation levels, low transposable element (TE) content, and increased gene density. We also find a significant correlation of expression levels for genes within TADs, suggesting that they do function as genomic domains with shared regulatory features. Our findings indicate that animal and plant TADs may share more commonalities than were initially thought, as evidenced by similar genetic and epigenetic signatures associated with TADs and boundaries. To examine 3D genome divergence, we employed a computer vision‐based algorithm for the comparison of chromatin contact maps and complemented this analysis by assessing the evolutionary conservation of individual TADs and their boundaries. We conclude that overall chromatin organization is conserved in rice, and 3D structural divergence correlates with evolutionary distance between genomes. We also note that individual TADs are not well conserved, even at short evolutionary timescales. 

Not AvailableThe collection of spatio-temporal mobility data, especially individual trajectory data from location-based services and smart devices, raises significant privacy concerns. However, it is extremely valuable for policy makers in tasks such as nextpoint predictions. Federated Learning aims to address these issues by training models locally on edge devices, thus preserving data privacy. However, the heterogeneous nature of individual trajectory data can make it challenging for a single global model to converge effectively in Federated Learning. One approach to overcome this challenge is Clustered Federated Learning (CFL). In this paper, we investigate to what extent CFL algorithms can improve the accuracy of next-point prediction models. We study four state-of-the-art CFL algorithms on two benchmark datasets, namely GeoLife and MDC and compare the performance of these algorithms in terms of accuracy and APR with state-of-the-art personalized FL models. We show that CFL is a viable option for the next-point prediction task and that it can particularly improve the performance of the model for user groups with high and low entropy. We open source a framework that can help the research community benchmark future personalized FL models against CFL algorithms. 

Genomic species delimitation is transforming how we understand and define species by enabling a process-oriented and efficient approach to identifying species boundaries. This review outlines the two key steps in genomic species delimitation: (a) discovering species-level units and (b) assessing their validity. Validity can be evaluated by a diversity of approaches, including applying the multispecies coalescent to delineate the population–species boundary and using estimated gene flow as a proxy for reproductive isolation. We illustrate the utility of these methods across the tree of life through a comprehensive review of published articles and case studies on birds, siphonophores, and bacteria. Despite the many benefits of genomic species delimitation, challenges remain. In particular, genomic divergence does not always accurately reflect ecological divergence and reproductive barriers, and genome heterogeneity can complicate the overall understanding of genetic divergence. We discuss these challenges and potential solutions. 

The Technology Ambassador’s Program (TAP) was established in 2012 as an extra-curricular program and has been offered as a service learning course since spring 2016. To investigate the impact on program participants, we launched a longitudinal study in fall 2022 and surveyed the students who completed the course from spring 2016 to spring 2021. Analysis of the survey results discovered that students strongly agree that this program has provided them opportunities to conduct research, to network with other professionals in the field, and apply technical skills. Further analysis also revealed a strong correlation of these opportunities with improving soft skills and career readiness among participants. Overall, this program increased the confidence of the students and prepared them to learn new skills on their own. This paper describes the overall structure of the service learning program and presents the details of this study including the process and survey results. 

Populations can adapt to stressful environments through changes in gene expression. However, the fitness effect of gene expression in mediating stress response and adaptation remains largely unexplored. Here, we use an integrative field dataset obtained from 780 plants of Oryza sativa ssp. indica (rice) grown in a field experiment under normal or moderate salt stress conditions to examine selection and evolution of gene expression variation under salinity stress conditions. We find that salinity stress induces increased selective pressure on gene expression. Further, we show that trans-eQTLs rather than cis-eQTLs are primarily associated with rice’s gene expression under salinity stress, potentially via a few master-regulators. Importantly, and contrary to the expectations, we find that cis-trans reinforcement is more common than cis-trans compensation which may be reflective of rice diversification subsequent to domestication. We further identify genetic fixation as the likely mechanism underlying this compensation/reinforcement. Additionally, we show that cis- and trans-eQTLs are under balancing and purifying selection, respectively, giving us insights into the evolutionary dynamics of gene expression variation. By examining genomic, transcriptomic, and phenotypic variation across a rice population, we gain insights into the molecular and genetic landscape underlying adaptive salinity stress responses, which is relevant for other crops and other stresses. 

Abstract Theaus(Oryza sativaL.) varietal group comprises of aus, boro, ashina and rayada seasonal and/or field ecotypes, and exhibits unique stress tolerance traits, making it valuable for rice breeding. Despite its importance, the agro-morphological diversity and genetic control of yield traits inausrice remain poorly understood. To address this knowledge gap, we investigated the genetic structure of 181ausaccessions using 399,115 SNP markers and evaluated them for 11 morpho-agronomic traits. Through genome-wide association studies (GWAS), we aimed to identify key loci controlling yield and plant architectural traits. Our population genetic analysis unveiled six subpopulations with strong geographical patterns. Subpopulation-specific differences were observed in most phenotypic traits. Principal component analysis (PCA) of agronomic traits showed that principal component 1 (PC1) was primarily associated with panicle traits, plant height, and heading date, while PC2 and PC3 were linked to primary grain yield traits. GWAS using PC1 identifiedOsSAC1on Chromosome 7 as a significant gene influencing multiple agronomic traits. PC2-based GWAS highlighted the importance ofOsGLT1and OsPUP4/ Big Grain 3 in determining grain yield. Haplotype analysis of these genes in the 3,000 Rice Genome Panel revealed distinct genetic variations inausrice. In summary, this study offers valuable insights into the genetic structure and phenotypic diversity ofausrice accessions. We have identified significant loci associated with essential agronomic traits, withGLT1, PUP4, andSAC1genes emerging as key players in yield determination. 

In the face of anthropogenic change and the potential loss of species, documenting biodiversity – including accurately delimiting species complexes – is of tantamount importance. Genome-wide data are powerful for investigating lineage divergence, though deciding if this divergence represents species-level differentiation remains challenging. Here, we use genome-wide data to investigate species limits in four currently recognized species of Earless Lizards (Phrynosomatidae: Holbrookia), with a focus on H. lacerata and H. subcaudalis, the latter having potentially imperiled populations. This group’s taxonomy has been repeatedly revised; most recently, H. lacerata and H. subcaudalis were elevated to species status using conserved morphological data and a few molecular markers. In this study, we used double-digest restriction-site associated DNA sequencing to delineate species limits for our focal taxa. We recovered five populations that corresponded to five well-supported lineages with very little gene flow among them. Our results support the recognition of H. lacerata and H. subcaudalis as two separate species, based on strong phylogenetic support for these lineages and genetic divergence measures that exceed those of currently recognized species within Holbrookia. Genomic methods for species delimitation offer a promising approach to assess biodiversity in taxonomically confounded taxa or organisms of conservation priority. 

Abstract The diversity of life forms that surround us formed through a variety of processes. Speciation researchers use a suite of comparative approaches to understand both the generalities and the variance underpinning this diversification. Here, we summarize these approaches and what they have taught us, and we then apply them to understand speciation in the night lizards Xantusia, a genus of small lizards found in the arid regions of western North America. Although Xantusia species span both a range of phenotypic and genetic divergence, we find that speciation in Xantusia appears to be a predictable consequence of divergence in extended periods of allopatry. We conclude by identifying possible areas of growth for comparative studies of speciation. 

Abstract Understanding the processes that shape genetic diversity by either promoting or preventing population divergence can help identify geographic areas that either facilitate or limit gene flow. Furthermore, broadly distributed species allow us to understand how biogeographic and ecogeographic transitions affect gene flow. We investigated these processes using genomic data in the Northern Alligator Lizard (Elgaria coerulea), which is widely distributed in Western North America across diverse ecoregions (California Floristic Province and Pacific Northwest) and mountain ranges (Sierra Nevada, Coastal Ranges, and Cascades). We collected single-nucleotide polymorphism data from 120 samples of E. coerulea. Biogeographic analyses of squamate reptiles with similar distributions have identified several shared diversification patterns that provide testable predictions for E. coerulea, including deep genetic divisions in the Sierra Nevada, demographic stability of southern populations, and recent post-Pleistocene expansion into the Pacific Northwest. We use genomic data to test these predictions by estimating the structure, connectivity, and phylogenetic history of populations. At least 10 distinct populations are supported, with mixed-ancestry individuals situated at most population boundaries. A species tree analysis provides strong support for the early divergence of populations in the Sierra Nevada Mountains and recent diversification into the Pacific Northwest. Admixture and migration analyses detect gene flow among populations in the Lower Cascades and Northern California, and a spatial analysis of gene flow identified significant barriers to gene flow across both the Sierra Nevada and Coast Ranges. The distribution of genetic diversity in E. coerulea is uneven, patchy, and interconnected at population boundaries. The biogeographic patterns seen in E. coerulea are consistent with predictions from co-distributed species.