Halls's Cave, ancient DNA
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB37627 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genetic and limited palaeoanthropological data suggest that Denisovans, a sister group to Neanderthals, were once widely distributed in eastern Eurasia, likely stretching from high-latitude Siberia, to the high-altitude Tibetan Plateau, to the low-latitude subtropical regions of southeast Asia. This suggests that Denisovans were capable of adapting to a highly diverse range of environments, but archaeological evidence for this is currently limited. As a result, we know little about their behaviours, including subsistence strategies, across the vast areas they likely occupied. Here, we describe the late Middle to Late Pleistocene faunal assemblage from Baishiya Karst Cave on the Tibetan Plateau, where the Xiahe Denisovan mandible and Denisovan sedimentary mtDNA were found, by integrating proteomic screening into traditional zooarchaeological analysis. The results indicate that the faunal assemblage consists of a diverse range of animals, including megafauna, large mammals, small mammals and birds, but is dominated by medium-sized herbivores. Frequent cut marks and percussion traces on bone surfaces throughout the assemblage, even on carnivore bones, indicate that Denisovan activities in Baishiya Karst Cave from at least 190 to 30 thousand years are responsible for the fauna assemblage accumulation. Thorough utilization of acquired animal resources, even perhaps the fur, too, might have helped Denisovans to survive through the last two glacial-interglacial cycles on the cold high-altitude Tibetan Plateau. Our results shed new light on Denisovan behaviours and their adaptations to the diverse and fluctuated environments in the Middle and Late Pleistocene eastern Eurasia.
2024-05-22 | PXD041874 | Pride
Project description:We used custom Nimblegen microarrays representing whole-larval transcriptomes for two species (Erynnis propertius [this submission] and Papilio zelicaon [submitted seperately]) to assess gene expression differences affecting tolerance to climatic regimes. Many individuals were sourced from populations from the northern periphery and center of the species' (shared) range; these were each divided into groups treated under peripheral and central climate regimes, resulting in 4 experimental groups for each species (Peripheral Source, Peripheral treatment; Peripheral Source, Central Treatment; Central Source, Peripheral Treatment; Central Source, Central Treatment). Using technical microarray replicates allowed us to use ANOVA to identify genes whose expression may underlie local adaptation to climate (i.e., those showing an interaction term between source and population). Abstract: Population differences may determine geographic range shifts and adaptive evolution under climate change. Local adaptation in peripheral populations could preclude or slow range expansions, and populations with different genetic make-up could have distinct trajectories that produce complex spatial patterns of population change. To investigate the genetic extent of local responses to climate change, we exposed poleward-periphery and central populations of two Lepidoptera to reciprocal, common-garden climatic conditions and compared whole-transcriptome expression. We found significant expression differences between populations in both species. In addition, several hundred genes including genes involved in energy metabolism and oxidative stress responded in a localized fashion in the species that exhibits greater population structure and local adaptation. Expression levels of these genes are most divergent in the same environment in which we previously detected phenotypic divergence in metabolism. By contrast, we found no localized genes in the species with higher gene flow, reflecting the lack of previously observed local adaptation. These results suggest that population differences do not generalize easily, even for related species living in the same climate, but some taxa deserve population-level consideration when predicting the effects of climate change.
2014-05-05 | GSE56404 | GEO
Project description:We used custom Nimblegen microarrays representing whole-larval transcriptomes for two species (Papilio zelicaon [this submission] and Erynnis propertius [submitted seperately]) to assess gene expression differences affecting tolerance to climatic regimes. Many individuals were sourced from populations from the northern periphery and center of the species' (shared) range; these were each divided into groups treated under peripheral and central climate regimes, resulting in 4 experimental groups for each species (Peripheral Source, Peripheral treatment; Peripheral Source, Central Treatment; Central Source, Peripheral Treatment; Central Source, Central Treatment). Using technical microarray replicates allowed us to use ANOVA to identify genes whose expression may underlie local adaptation to climate (i.e., those showing an interaction term between source and population). Abstract: Population differences may determine geographic range shifts and adaptive evolution under climate change. Local adaptation in peripheral populations could preclude or slow range expansions, and populations with different genetic make-up could have distinct trajectories that produce complex spatial patterns of population change. To investigate the genetic extent of local responses to climate change, we exposed poleward-periphery and central populations of two Lepidoptera to reciprocal, common-garden climatic conditions and compared whole-transcriptome expression. We found significant expression differences between populations in both species. In addition, several hundred genes including genes involved in energy metabolism and oxidative stress responded in a localized fashion in the species that exhibits greater population structure and local adaptation. Expression levels of these genes are most divergent in the same environment in which we previously detected phenotypic divergence in metabolism. By contrast, we found no localized genes in the species with higher gene flow, reflecting the lack of previously observed local adaptation. These results suggest that population differences do not generalize easily, even for related species living in the same climate, but some taxa deserve population-level consideration when predicting the effects of climate change.
2014-05-05 | GSE56403 | GEO
Project description: Not available
| S-EPMC8710462 | biostudies-literature
Project description:Sequencing of mtDNA captures of sediments from the Pleistocene layers of Denisova Cave.
| PRJEB44036 | ENA
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| PRJEB25694 | ENA
Project description:The microbiome of climate change induced range-expanding plants
| PRJEB25692 | ENA
Project description:The microbiome of climate change induced range-expanding plants
| PRJEB25693 | ENA
Project description:The microbiome of climate change induced range-expanding plants
| PRJEB25697 | ENA
Project description:DNA from Late and Middle Pleistocene sediments in Eurasia
| PRJEB18629 | ENA