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来自四个非洲国家的……的群体基因组学 (原文此处不完整)

Population Genomics of from Four African Countries.

作者信息

Popkin-Hall Zachary R, Carey-Ewend Kelly, Aghakhanian Farhang, Oriero Eniyou C, Seth Misago D, Kashamuka Melchior M, Ngasala Billy, Ali Innocent M, Mukomena Eric Sompwe, Mandara Celine I, Kharabora Oksana, Sendor Rachel, Simkin Alfred, Amambua-Ngwa Alfred, Tshefu Antoinette, Fola Abebe A, Ishengoma Deus S, Bailey Jeffrey A, Parr Jonathan B, Lin Jessica T, Juliano Jonathan J

机构信息

Institute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC USA 27599.

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.

出版信息

medRxiv. 2024 Sep 9:2024.09.07.24313132. doi: 10.1101/2024.09.07.24313132.

Abstract

is geographically widespread but neglected and may become more prevalent as declines. We completed the largest genomic study of African to-date by performing hybrid capture and sequencing of 77 isolates from Cameroon (n=7), the Democratic Republic of the Congo (n=16), Nigeria (n=4), and Tanzania (n=50) collected between 2015 and 2021. There is no evidence of geographic population structure. Nucleotide diversity was significantly lower than in co-localized isolates, while linkage disequilibrium was significantly higher. Genome-wide selection scans identified no erythrocyte invasion ligands or antimalarial resistance orthologs as top hits; however, targeted analyses of these loci revealed evidence of selective sweeps around four erythrocyte invasion ligands and six antimalarial resistance orthologs. Demographic inference modeling suggests that African is recovering from a bottleneck. Altogether, these results suggest that is genomically atypical among human spp. and panmictic in Africa.

摘要

在地理上分布广泛但被忽视,并且随着[某种情况]下降可能会变得更加普遍。我们通过对2015年至2021年间从喀麦隆(n = 7)、刚果民主共和国(n = 16)、尼日利亚(n = 4)和坦桑尼亚(n = 50)收集的77个分离株进行杂交捕获和测序,完成了迄今为止最大规模的非洲[物种名称]基因组研究。没有地理种群结构的证据。核苷酸多样性显著低于共定位的[相关物种名称]分离株,而连锁不平衡则显著更高。全基因组选择扫描未发现红细胞入侵配体或抗疟抗性直系同源物作为顶级命中基因;然而,对这些基因座的靶向分析揭示了围绕四个红细胞入侵配体和六个抗疟抗性直系同源物存在选择性清除的证据。人口统计学推断模型表明非洲[物种名称]正在从瓶颈中恢复。总之,这些结果表明[物种名称]在人类[相关物种名称]物种中基因组具有非典型性,并且在非洲是随机交配的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b3f/11419228/29e8516795bf/nihpp-2024.09.07.24313132v1-f0001.jpg

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