Back

Malaria resistance-related biological adaptation and complex evolutionary footprints of Tai-Kadai people inferred from 796 genomes

Duan, S.; Wang, M.; Wang, Z.; Liu, Y.; Jiang, X.; Su, H.; Cai, Y.; Sun, Q.; Sun, Y.; Li, X.; Chen, J.; Zhang, Y.; Yan, J.; Nie, S.; Hu, L.; Tang, R.; Yun, L.; Wang, C.; Liu, C.; Yang, J.; He, G. G.

2023-07-05 genetics
10.1101/2023.07.04.547671 bioRxiv
Show abstract

Pathogen-host adaptative interaction and complex population demographical processes, including admixture, drift and Darwen selection, have considerably shaped the Neolithic-to-Modern Western Eurasian population structure and genetic susceptibility to modern human diseases. However, the genetic footprints of evolutionary events in East Asia keep unknown as the underrepresentation of genomic diversity and the design of large-scale population studies. We reported one aggregated database of genome-wide-SNP variations from 796 Tai-Kadai (TK) genomes, including Bouyei first reported here, to explore the genetic history, population structure and biological adaptative features of TK-speaking people from Southern China and Southeast Asia. We found geography-related population substructure among TK-speaking people using the state-of-the-art population genetic structure reconstruction techniques based on the allele frequency spectrum and haplotype-resolved phased fragments. We found that the Northern TK-speaking people from Guizhou harboured one TK-dominant ancestry maximised in Bouyei people, and the Southern one from Thailand obtained more influences from Southeast Asians and indigenous people. We reconstructed the fitted admixture models and demographic graphs, which showed that TK-speaking people received gene flow from ancient rice farmer-related lineages related to the Hmong-Mien and Austroasiatic people and Northern millet farmers associated with the Sino-Tibetan people. Biological adaptation focused on our identified unique TK lineages related to Bouyei showed many adaptive signatures conferring Malaria resistance and low-rate lipid metabolism. Further gene enrichment, the allele frequency distribution of derived alleles, and their correlation with the incidence of Malaria further confirmed that CR1 played an essential role in the resistance of Malaria in the ancient "Baiyue" tribes.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Genomics, Proteomics & Bioinformatics
172 papers in training set
Top 0.1%
26.5%
2
Journal of Genetics and Genomics
38 papers in training set
Top 0.1%
7.8%
3
National Science Review
21 papers in training set
Top 0.1%
7.8%
4
eLife
5828 papers in training set
Top 15%
7.2%
5
Science Advances
1243 papers in training set
Top 3%
6.2%
50% of probability mass above
6
Cell Genomics
172 papers in training set
Top 1%
3.4%
7
Genome Biology
637 papers in training set
Top 4%
3.2%
8
Science China Life Sciences
29 papers in training set
Top 0.1%
3.2%
9
Nature Communications
5641 papers in training set
Top 38%
2.8%
10
Frontiers in Genetics
230 papers in training set
Top 2%
2.6%
11
Cell Discovery
57 papers in training set
Top 0.4%
2.4%
12
Advanced Science
286 papers in training set
Top 3%
2.4%
13
Molecular Biology and Evolution
542 papers in training set
Top 3%
2.4%
14
Communications Biology
993 papers in training set
Top 15%
1.7%
15
Briefings in Bioinformatics
354 papers in training set
Top 5%
1.7%
16
Science
477 papers in training set
Top 6%
1.3%
17
PLOS Genetics
862 papers in training set
Top 8%
1.3%
18
iScience
1154 papers in training set
Top 26%
1.1%
19
Human Genetics
28 papers in training set
Top 0.4%
1.1%
20
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 35%
1.1%
21
Nucleic Acids Research
1281 papers in training set
Top 13%
0.8%
22
Cell Reports
1498 papers in training set
Top 27%
0.8%
23
Cell Research
51 papers in training set
Top 2%
0.6%
24
Journal of Systematics and Evolution
11 papers in training set
Top 0.2%
0.6%
25
Genome Research
468 papers in training set
Top 7%
0.6%