Project description: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.

| S-EPMC7955057 | biostudies-literature

Genome Methylation Predicts Age and Longevity of Bats

Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from several tissues in several bat species. Tissues: skin (wing punches), liver, brain, skeletal muscle.

2021-01-28 | GSE164127 | GEO

Genome Methylation Predicts Age and Longevity of Bats

Project description:Genome Methylation Predicts Age and Longevity of Bats

| PRJNA688932 | ENA

Growing old, yet staying young: The role of telomeres in bats' exceptional longevity.

Project description:Understanding aging is a grand challenge in biology. Exceptionally long-lived animals have mechanisms that underpin extreme longevity. Telomeres are protective nucleotide repeats on chromosome tips that shorten with cell division, potentially limiting life span. Bats are the longest-lived mammals for their size, but it is unknown whether their telomeres shorten. Using >60 years of cumulative mark-recapture field data, we show that telomeres shorten with age in Rhinolophus ferrumequinum and Miniopterus schreibersii, but not in the bat genus with greatest longevity, Myotis. As in humans, telomerase is not expressed in Myotis myotis blood or fibroblasts. Selection tests on telomere maintenance genes show that ATM and SETX, which repair and prevent DNA damage, potentially mediate telomere dynamics in Myotis bats. Twenty-one telomere maintenance genes are differentially expressed in Myotis, of which 14 are enriched for DNA repair, and 5 for alternative telomere-lengthening mechanisms. We demonstrate how telomeres, telomerase, and DNA repair genes have contributed to the evolution of exceptional longevity in Myotis bats, advancing our understanding of healthy aging.

| S-EPMC5810611 | biostudies-literature

Author Correction: Decimated little brown bats show potential for adaptive change.

Project description:An amendment to this paper has been published and can be accessed via a link at the top of the paper.

| S-EPMC7090080 | biostudies-literature

Author Correction: Transcriptome analysis provides insight into prickle development and its link to defense and secondary metabolism in Solanum viarum Dunal.

Project description: Not available

| S-EPMC8333271 | biostudies-literature

Author Correction: Elephant shark genome provides unique insights into gnathostome evolution.

Project description:An amendment to this paper has been published and can be accessed via a link at the top of the paper.

| S-EPMC7962561 | biostudies-literature

Low insulin-like growth factor-1 level predicts survival in humans with exceptional longevity.

Project description:Attenuated growth hormone and insulin-like growth factor-1 (GH/IGF-1) signaling is associated with extended lifespan in several animal models. However, the effect of diminished GH/IGF-1 activity on survival in humans has not been confirmed. We tested the hypothesis that IGF-1 levels in nonagenarians (n = 184), measured at study enrollment, predict the duration of their incremental survival. In the Kaplan-Meier analysis, females with IGF-1 levels below the median (≤ 96 ng mL(-1) ) had significantly longer survival compared with females with levels above the median, P < 0.01. However, this survival advantage was not observed in males (P = 0.83). On the other hand, in both males and females with a history of cancer, lower IGF-1 levels predicted longer survival (P < 0.01). IGF-1 level remained a significant predictor of survival duration in linear regression models after multivariable adjustment in females (P = 0.01) and individuals with a history of cancer (P < 0.01). We show for the first time that low IGF-1 levels predict life expectancy in exceptionally long-lived individuals.

| S-EPMC4116456 | biostudies-literature

Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients.

Project description:A Correction to this paper has been published: https://doi.org/10.1038/s41746-020-00365-5.

| S-EPMC7723990 | biostudies-literature