Bats possess extraordinary adaptations, including flight, echolocation, extreme longevity and unique immunity. High-quality genomes are crucial for understanding the molecular basis and evolution of these traits. Here we incorporated long-read sequencing and state-of-the-art scaffolding protocols 1 to generate, to our knowledge, the first reference-quality genomes of six bat species (Rhinolophus ferrumequinum, Rousettus aegyptiacus, Phyllostomus discolor, Myotis myotis, Pipistrellus kuhlii and Molossus molossus). We integrated gene projections from our 'Tool to infer Orthologs from Genome Alignments' (TOGA) software with de novo and homology gene predictions as well as short-and long-read transcriptomics to generate highly complete gene annotations. To resolve the phylogenetic position of bats within Laurasiatheria, we applied several phylogenetic methods to comprehensive sets of orthologous protein-coding and noncoding regions of the genome, and identified a basal origin for bats within Scrotifera. Our genome-wide screens revealed positive selection on hearing-related genes in the ancestral branch of bats, which is indicative of laryngeal echolocation being an ancestral trait in this clade. We found selection and loss of immunity-related genes (including pro-inflammatory NF-κB regulators) and expansions of anti-viral APOBEC3 genes, which highlights molecular mechanisms that may contribute to the exceptional immunity of bats. Genomic integrations of diverse viruses provide a genomic record of historical tolerance to viral infection in bats. Finally, we found and experimentally validated bat-specific variation in microRNAs, which may regulate bat-specific gene-expression programs. Our reference-quality bat genomes provide the resources required to uncover and validate the genomic basis of adaptations of bats, and stimulate new avenues of research that are directly relevant to human health and disease 1. With more than 1,400 species identified to date 2 , bats (Chiroptera) account for about 20% of all extant mammal species. Bats are found around the world and successfully occupy diverse ecological niches 1. Their global success is attributed to an extraordinary suite of adaptations 1 including powered flight, laryngeal echolocation, vocal learning, exceptional longevity and a unique immune system that probably enables bats to better tolerate viruses that are lethal to other mammals (such as severe acute respiratory syndrome-related coronavirus, Middle East respiratory syndrome-related coronavirus and Ebola virus) 3. Bats therefore represent important model systems for the study of
Telomeres do not shorten with age in longest-lived bats.
Exceptionally long-lived species, including many bats, rarely show overt signs of aging, making it difficult to determine why species differ in lifespan. Here, we use DNA methylation (DNAm) profiles from 712 known-age bats, representing 26 species, to identify epigenetic changes associated with age and longevity. We demonstrate that DNAm accurately predicts chronological age. Across species, longevity is negatively associated with the rate of DNAm change at age-associated sites. Furthermore, analysis of several bat genomes reveals that hypermethylated age- and longevity-associated sites are disproportionately located in promoter regions of key transcription factors (TF) and enriched for histone and chromatin features associated with transcriptional regulation. Predicted TF binding site motifs and enrichment analyses indicate that age-related methylation change is influenced by developmental processes, while longevity-related DNAm change is associated with innate immunity or tumorigenesis genes, suggesting that bat longevity results from augmented immune response and cancer suppression.
Capture censuses of Greater horseshoe bats involving about 35 hibernacula were consistently carried out over twenty‐six years in two separate areas. Hibernacula were visited three times per winter. A control area (reduced disturbance) was visited once annually. Censuses showed similar trends in all three areas, and counts of bats at a breeding site showed similar trends to those hibernacula, hut much greater stability. All numbers fell sharply to about 50%, of the original level between the winters or 1962/3 and 1966/7, then more‐or‐less stabilized until the mid 1970s; rose in the late 1970s and early 1980s, and finally declined precipitiously in all areas in 1986 to about 30% of the 1962/3 figure. Numbers of juveniles born annually showed no relationship to the numbers reaching hibernacula during the subsequent winter, but was negatively related to the mean birth time in July. The final forearm length of juveniles is negatively related to birth time. A population control mechanism based on birth timing and subsequent growth is postulated and supported by reproductive studies.
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