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The Chihuahuan Desert includes many endemic angiosperm species, some having very restricted geographic ranges. One of these species is Oreocarya crassipes (I. M. Johnst.) Hasenstab & M. G. Simpson, an endangered distylous gypsophile from the Trans-Pecos region in southern Brewster County, Texas, USA. The species is known from 10 populations, and this small number of populations, human development in the area, a distylous breeding system, and edaphic requirements threaten the long-term viability of the species. Using both hundreds of single nucleotide polymorphisms identified via tunable genotyping-by-sequencing (tGBS) and 10 microsatellite loci, patterns of genetic diversity, demography, selection, and migration were examined for 192 individuals from four populations of O. crassipes. From the sampled individuals, two populations (clusters) were identified via multiple methodologies and with both types of data. With SNP data, population substructure was further resolved among one of these populations to identify two distinct groups of individuals. Multiple individuals recognized as having mixed ancestry, along with Fst values and AMOVA results, provide evidence of genetic exchange among populations, which is less common for gypsophiles than non-gypsophiles, and the rate of migration among populations has been increasing recently. The Fst values for O. crassipes are more similar to those of other rare species than to other gypsophiles. Additionally, while distyly specifically does not necessarily impact the population genetics of the species, allogamy, which is facilitated by distyly, seems to have played a role in the genetic structure of O. crassipes.
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Integrating Linguistics, Social Structure, and Geography to Model Genetic Diversity within India
Abstract India represents an intricate tapestry of population substructure shaped by geography, language, culture, and social stratification. Although geography closely correlates with genetic structure in other parts of the world, the strict endogamy imposed by the Indian caste system and the large number of spoken languages add further levels of complexity to understand Indian population structure. To date, no study has attempted to model and evaluate how these factors have interacted to shape the patterns of genetic diversity within India. We merged all publicly available data from the Indian subcontinent into a data set of 891 individuals from 90 well-defined groups. Bringing together geography, genetics, and demographic factors, we developed Correlation Optimization of Genetics and Geodemographics to build a model that explains the observed population genetic substructure. We show that shared language along with social structure have been the most powerful forces in creating paths of gene flow in the subcontinent. Furthermore, we discover the ethnic groups that best capture the diverse genetic substructure using a ridge leverage score statistic. Integrating data from India with a data set of additional 1,323 individuals from 50 Eurasian populations, we find that Indo-European and Dravidian speakers of India show shared genetic drift with Europeans, whereas the Tibeto-Burman speaking tribal groups have maximum shared genetic drift with East Asians.
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- PAR ID:
- 10248338
- Editor(s):
- Heyer, Evelyne
- Date Published:
- Journal Name:
- Molecular Biology and Evolution
- Volume:
- 38
- Issue:
- 5
- ISSN:
- 1537-1719
- Page Range / eLocation ID:
- 1809 to 1819
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1093/molbev/msaa321
