Analysis of complete mtDNA sequences of the indigenous people of the Canary Islands
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ABSTRACT:
PROVIDER: PRJEB29569 | ENA |
REPOSITORIES: ENA
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Project description:The Canary Islands' indigenous people have been the subject of substantial archaeological, anthropological, linguistic and genetic research pointing to a most probable North African Berber source. However, neither agreement about the exact point of origin nor a model for the indigenous colonization of the islands has been established. To shed light on these questions, we analyzed 48 ancient mitogenomes from 25 archaeological sites from the seven main islands. Most lineages observed in the ancient samples have a Mediterranean distribution, and belong to lineages associated with the Neolithic expansion in the Near East and Europe (T2c, J2a, X3a…). This phylogeographic analysis of Canarian ancient mitogenomes, the first of its kind, shows that some lineages are restricted to Central North Africa (H1cf, J2a2d and T2c1d3), while others have a wider distribution, including both West and Central North Africa, and, in some cases, Europe and the Near East (U6a1a1, U6a7a1, U6b, X3a, U6c1). In addition, we identify four new Canarian-specific lineages (H1e1a9, H4a1e, J2a2d1a and L3b1a12) whose coalescence dates correlate with the estimated time for the colonization of the islands (1st millennia CE). Additionally, we observe an asymmetrical distribution of mtDNA haplogroups in the ancient population, with certain haplogroups appearing more frequently in the islands closer to the continent. This reinforces results based on modern mtDNA and Y-chromosome data, and archaeological evidence suggesting the existence of two distinct migrations. Comparisons between insular populations show that some populations had high genetic diversity, while others were probably affected by genetic drift and/or bottlenecks. In spite of observing interinsular differences in the survival of indigenous lineages, modern populations, with the sole exception of La Gomera, are homogenous across the islands, supporting the theory of extensive human mobility after the European conquest.
| S-EPMC6426200 | biostudies-literature
Project description:For many decades Indigenous people, including Native Americans and Aboriginal Australians, have fought for their return of their ancient people. By sequencing ten ancient nuclear genomes of Aboriginal Australians and 27 mitogenomes from ancient pre-European Aboriginal Australians (up to 1,540 yr BP) of known provenance we demonstrate the feasibility of successfully identifying the geographic origins of unprovenanced ancestral remains using genomic methods.
| EGAS00001003359 | EGA
Project description:Taxonomic status of the extinct Canary Islands Oystercatcher Haematopus meadewaldoi
| PRJEB32908 | ENA
Project description:The mitochondrial genome (mtDNA) is of interest for a range of fields including evolutionary, forensic, and medical genetics. Human mitogenomes can be classified into evolutionary related haplogroups that provide ancestral information and pedigree relationships. Because of this and the advent of high-throughput sequencing (HTS) technology, there is a diversity of bioinformatic tools for haplogroup classification. We present a benchmarking of the 11 most salient tools for human mtDNA classification using empirical whole-genome (WGS) and whole-exome (WES) short-read sequencing data from 36 unrelated donors. Besides, because of its relevance, we also assess the best performing tool in third-generation long noisy read WGS data obtained with nanopore technology for a subset of the donors. We found that, for short-read WGS, most of the tools exhibit high accuracy for haplogroup classification irrespective of the input file used for the analysis. However, for short- read WES, Haplocheck and MixEmt were the most accurate tools. Based on the performance shown for WGS and WES, and the accompanying qualitative assessment, Haplocheck stands out as the most complete tool. For third-generation HTS data, we also showed that Haplocheck was able to accurately retrieve mtDNA haplogroups for all samples assessed, although only after following assembly-based approaches (either based on a referenced-based assembly or a hybrid de novo assembly). Taken together, our results provide guidance for researchers to select the most suitable tool to conduct the mtDNA analyses from HTS data.
| EGAS00001005679 | EGA
Project description:The mitochondrial genome (mtDNA) is of interest for a range of fields including evolutionary, forensic, and medical genetics. Human mitogenomes can be classified into evolutionary related haplogroups that provide ancestral information and pedigree relationships. Because of this and the advent of high-throughput sequencing (HTS) technology, there is a diversity of bioinformatic tools for haplogroup classification. We present a benchmarking of the 11 most salient tools for human mtDNA classification using empirical whole-genome (WGS) and whole-exome (WES) short-read sequencing data from 36 unrelated donors. Besides, because of its relevance, we also assess the best performing tool in third-generation long noisy read WGS data obtained with nanopore technology for a subset of the donors. We found that, for short-read WGS, most of the tools exhibit high accuracy for haplogroup classification irrespective of the input file used for the analysis. However, for short- read WES, Haplocheck and MixEmt were the most accurate tools. Based on the performance shown for WGS and WES, and the accompanying qualitative assessment, Haplocheck stands out as the most complete tool. For third-generation HTS data, we also showed that Haplocheck was able to accurately retrieve mtDNA haplogroups for all samples assessed, although only after following assembly-based approaches (either based on a referenced-based assembly or a hybrid de novo assembly). Taken together, our results provide guidance for researchers to select the most suitable tool to conduct the mtDNA analyses from HTS data.
| EGAS00001005678 | EGA
Project description:Detection of Phytophthora nicotianae and Geotrichum sp. associates to heart rot in pineapple in the Canary Islands, Spain.
| PRJEB25150 | ENA
Project description:Affymetrix single nucleotide polymorphism (SNP) array data were used to study genes that underlie human adaptation to climatic stress, with a focus on genetic changes that lead to long-term cold tolerance. Siberia provides the best opportunity to investigate the genetic mechanisms of cold resistance because of the long-term ancestry of indigenous populations in some of the coldest climates on earth. While much of northern Europe was under ice throughout the last glacial period, Siberia remained relatively ice free, and archaeological evidence suggests that people inhabited this region for more than 40,000 years. We gathered SNP data from ~200 individuals from 15 indigenous Siberian populations that inhabit a range of arctic climates and compare their patterns of genetic variation with those from other world populations from warmer climates.Particular attention is paid to regions containing genes that have been previously implicated in cold adaptation or that function in known pathways connected to energy metabolism or cold adapted phenotypes (e.g., those involved in basal metabolic rate and brown adipose tissue function).
2016-09-15 | GSE73996 | GEO
Project description: Not available
| S-EPMC2857243 | biostudies-literature
Project description:To understand the molecular basis of distinct pork quality in Chinese indigenous and Western breed, longissimus dorsi samples were collected from three adult Northeastern Indigenous and from three adult Large White. Total RNA was extracted and subjected to porcine Affymetrix Genechip. The study helps to elucidate the genetic mechnism of divergent pork quality and provide the theory basis for selection and genetic improvement of meat quality traits in porcine. Six longissimus dorsi samples were collected from three Northeastern Indigenous and from three Large White. Three Large White were control samples. Total RNA was extracted from each sample.Gene-expression profiling was performed for each RNA sample separately on the GeneChip® Porcine Genome Array at CapitalBio Corporation (Beijing, China).
2016-09-02 | E-GEOD-24192 | biostudies-arrayexpress