The critically endangered western gorillas (Gorilla gorilla) are divided into two subspecies: the western lowland (G. g. gorilla) and the Cross River (G. g. diehli) gorilla. Given the difficulty in sampling wild great ape populations and the small estimated size of the Cross River gorilla population, only one whole genome of a Cross River gorilla has been sequenced to date, hindering the study of this subspecies at the population level. In this study, we expand the number of whole genomes available for wild western gorillas, generating 41 new genomes (25 belonging to Cross River gorillas) using single shed hairs collected from gorilla nests. By combining these genomes with publicly available wild gorilla genomes, we confirm that Cross River gorillas form three population clusters. We also found little variation in genome-wide heterozygosity among them. Our analyses reveal long runs of homozygosity (>10 Mb), indicating recent inbreeding in Cross River gorillas. This is similar to that seen in mountain gorillas but with a much more recent bottleneck. We also detect past gene flow between two Cross River sites, Afi Mountain Wildlife Sanctuary and the Mbe Mountains. Furthermore, we observe past allele sharing between Cross River gorillas and the northern western lowland gorilla sites, as well as with the eastern gorilla species. This is the first study using single shed hairs from a wild species for whole genome sequencing to date. Taken together, our results highlight the importance of implementing conservation measures to increase connectivity among Cross River gorilla sites.

High-quality genomes are essential to resolve challenges in breeding, comparative biology, medicine, and conservation planning. New library preparation techniques along with better assembly algorithms result in continued improvements in assemblies for non-model organisms, moving them toward reference-quality genomes. We report on the latest genome assembly of the Atlantic bottlenose dolphin, leveraging Illumina sequencing data coupled with a combination of several library preparation techniques. These include Linked-Reads (Chromium, 10x Genomics), mate pairs (MP), long insert paired ends, and standard paired end. Data were assembled with the commercial DeNovoMAGIC assembly software, resulting in two assemblies, a traditional “haploid” assembly (Tur_tru_Illumina_hap_v1) that is a mosaic of the two parental haplotypes and a phased assembly (Tur_tru_Illumina_phased_v1) where each scaffold has sequence from a single homologous chromosome. We show that Tur_tru_Illumina_hap_v1 is more complete and more accurate compared to the current best reference based on the amount and composition of sequence, the consistency of the MP alignments to the assembled scaffolds, and on the analysis of conserved single-copy mammalian orthologs. The phased de novo assembly Tur_tru_Illumina_phased_v1 is the first publicly available for this species and provides the community with novel and accurate ways to explore the heterozygous nature of the dolphin genome.

African elephants are keystone species facing severe declines due to the ivory trade and habitat loss. To investigate the genomic consequences, we analyze 232 high-coverage genomes from 17 African countries in the first continent-wide genomic analysis treating savanna ( Loxodonta africana ) and forest ( L. cyclotis ) elephants as distinct species. We find a deep divergence between species, with forest elephants showing higher heterozygosity and historically larger effective population sizes, while savanna elephants exhibit greater inbreeding and genetic load. Surprisingly, we detect widespread introgression of trace forest ancestry across savanna populations, suggesting a complex history of hybridization. Within species, historically high mobility promoted genetic connectivity, though we identify signs of human-induced isolation and drift in peripheral populations. Our findings highlight gene flow as a key force in African elephant evolution and underscore the urgency of understanding the impact of accelerating habitat fragmentation in these ecosystem engineers.

To better characterize the potential biological mechanisms underlying insulin resistance (IR) and dementia, we derive cross-population and population specific polygenic scores [PSs] for fasting insulin and IR-related partitioned PSs [pPSs]. We conduct a cross-sectional study of the associations of these genetic scores with neurological outcomes in >17k participants (36% men, mean age 55 yrs) from the Trans-Omics for Precision Medicine (TOPMed) program (50% Non-Hispanic White, 23% Black/African American, 21% Hispanic/Latino American, and 4% Asian American). We report significant negative associations (P < 0.002) of the cross-population (P = 1.3 × 10^-5) and European (P_EA = 3.0 × 10^-8) fasting insulin PSs with total cranial volume, and of a metabolic syndrome European PS with general cognitive function (B_EA = -0.13, P_EA = 0.0002) and lateral ventricular volume (B_EA = 0.09, P_EA = 0.002). We identify suggestive negative associations (P < 0.007) of metabolic syndrome and obesity pPSs with general cognitive function, and of lipodystrophy pPSs with total cranial volume. A higher genetic predisposition to IR is associated with lower brain size, and a genetic predisposition to specific IR-related type 2 diabetes subtypes, such as metabolic syndrome and mechanisms of IR mediated through obesity and lipodystrophy, is potentially involved in cognitive decline.

Retroviruses that colonize the host germline can be passed on as inherited genetic variants. The koala ( Phascolarctos cinereus ) is currently experiencing germline colonization by two retroviruses, the koala retrovirus (KoRV) and phaCin-β. We analyze the integration site segregation and diversity of endogenous KoRV, phaCin-β, and the related phaCin-β-like in 111 pedigreed koalas from the San Diego Zoo Wildlife Alliance and seven European Zoos. The use of multigenerational pedigrees and the inclusion of health information for each individual koala reveal elimination of retroviruses from proto-oncogenes and the generation and spread of new germline integrations. Seven-hundred-and-fourteen integrations do not persist in the living population. For the 55 triads examined, 21 unique integrations identified in individual koalas are absent in their parents. Retroviral integrations associated with leukemia, fertility, and longevity are used to estimate genetic risk scores and develop a longevity breeding index to minimize neoplasia risk in the captive koala population.