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    <identifier>10.57760/sciencedb.11478</identifier>
    <datestamp>2024-07-30T15:50:09Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2024-07-30</dc:date>
  <dc:title>Selection increases mitonuclear DNA discordance but reconciles incompatibility in African cattle</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.11478</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Deviations&amp;nbsp;of ancestry for genes involved&amp;nbsp;in mitonuclear crosstalk&amp;nbsp;in&amp;nbsp;African B. indicus. The datasets include deviations of ancestry for genes involved in mitonuclear crosstalk in African Bos indicus, analyzed using multiple approaches (FDM, FST, RFmix, and Loter). We used BCFtools v.1.8 to obtain four SNP datasets in&amp;nbsp;the region of the four gene subsets, correspondingly. We then calculated Fst values of each SNP datasets based on a sliding window approach with windows of 50&amp;thinsp;kb and a step of 10&amp;thinsp;kb using VCFtools v.0.1.17. For Fdm&amp;nbsp;values&amp;nbsp;(degree of local introgression),&amp;nbsp;we also integrated 10 Indian water buffalo&amp;nbsp;(Bubalus bubalus) as outgroup&amp;nbsp;to estimated local introgression for across the four gene subsets of mitonuclear, high-mito, OXPHOS, selective&amp;nbsp;by Fdm&amp;nbsp;(Manual:&amp;nbsp;https://github.com/simonhmartin/genomics_general). We converted vcf files to Geno format parseVCF.py. We adopted ABBABABAwindows.py&amp;nbsp;&amp;nbsp;to divided the&amp;nbsp;whole genome into segments of 50 kb windows (10 kb sliding)&amp;nbsp;and to estimate Fdm&amp;nbsp;values&amp;nbsp;of each window. Bedtools v.2.29.0&amp;nbsp;(https://bedtools.readthedocs.io/en/latest/) was used to intersect genome-wide level Fdm&amp;nbsp;values of genome-wide level with windows spanning 500 pb upstream and downstream of genes within each of the four gene subsets.&amp;nbsp;We gained four datasets of Fdm&amp;nbsp;values, corresponding to the four genes subsets involved in mitonuclear crosstalk.&amp;nbsp;Genotype refinement was performed using SHAPEIT&amp;nbsp;v.2.904&amp;nbsp; along with&amp;nbsp;phasing.&amp;nbsp;Using Loter&amp;nbsp;and&amp;nbsp;RFmix, we identified the origin of each haplotype of African B. indicus&amp;nbsp;form&amp;nbsp;African B. taurus&amp;nbsp;or Asian&amp;nbsp;B. indicus&amp;nbsp;(if the haplotype of the Asian B. indicus&amp;nbsp;value is 0, otherwise,&amp;nbsp;the values&amp;nbsp;is 1), respectively. We then gained each haplotype value covered by each gene subset and calculated the mean ratio of B. taurus&amp;nbsp;ancestry of the region of each gene subset of in 50&amp;thinsp;kb windows with a 10&amp;thinsp;kb step by custom scripts. All deviations between&amp;nbsp;each SNP dataset&amp;nbsp;and their genomic background were assessed using the T-test.</dc:description>
  <dc:subject>mitonuclear crosstalk; mitonuclear DNA discordance; mtDNA copy numbers; purifying selection</dc:subject>
  <dc:creator>Xian Shi</dc:creator>
  <dc:creator>Min-Sheng Peng</dc:creator>
  <dc:creator>Ya-Ping Zhang</dc:creator>
  <dc:creator>Jian-Lin Han</dc:creator>
  <dc:creator>Olivier Hanotte</dc:creator>
  <dc:creator>Cheng Ma</dc:creator>
  <dc:creator>Ningbo Chen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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