Background: Austronesian is a linguistic family spread in most areas of the Southeast Asia, the Pacific Ocean, and the Indian Ocean. Based on their linguistic similarity, this linguistic family included Malayo-Polynesians and Taiwan aborigines. The linguistic similarity also led to the controversial hypothesis that Taiwan is the homeland of all the Malayo-Polynesians, a hypothesis that has been debated by ethnologists, linguists, archaeologists, and geneticists. It is well accepted that the Eastern Austronesians (Micronesians and Polynesians) derived from the Western Austronesians (Island Southeast Asians and Taiwanese), and that the Daic populations on the mainland are supposed to be the headstream of all the Austronesian populations.
Results: In this report, we studied 20 SNPs and 7 STRs in the non-recombining region of the 1,509 Y chromosomes from 30 China Daic populations, 23 Indonesian and Vietnam Malayo-Polynesian populations, and 11 Taiwan aboriginal populations. These three groups show many resemblances in paternal lineages. Admixture analyses demonstrated that the Daic populations are hardly influenced by Han Chinese genetically, and that they make up the largest proportion of Indonesians. Most of the population samples contain a high frequency of haplogroup O1a-M119, which is nearly absent in other ethnic families. The STR network of haplogroup O1a* illustrated that Indonesian lineages did not derive from Taiwan aborigines as linguistic studies suggest, but from Daic populations.
Conclusion: We show that, in contrast to the Taiwan homeland hypothesis, the Island Southeast Asians do not have a Taiwan origin based on their paternal lineages. Furthermore, we show that both Taiwan aborigines and Indonesians likely derived from the Daic populations based on their paternal lineages. These two populations seem to have evolved independently of each other. Our results indicate that a super-phylum, which includes Taiwan aborigines, Daic, and Malayo-Polynesians, is genetically educible.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2408594 | PMC |
| http://dx.doi.org/10.1186/1471-2148-8-146 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Manifestation of depression in speech overlaps with characteristics used to represent and recognize speaker identity.
Sci Rep
July 2023
Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.
The sound of a person's voice is commonly used to identify the speaker. The sound of speech is also starting to be used to detect medical conditions, such as depression. It is not known whether the manifestations of depression in speech overlap with those used to identify the speaker.
View Article and Find Full Text PDFPrivacy-preserving Speech-based Depression Diagnosis via Federated Learning.
Annu Int Conf IEEE Eng Med Biol Soc
July 2022
Mental health disorders, such as depression, affect a large and growing number of populations worldwide, and they may cause severe emotional, behavioral and physical health problems if left untreated. As depression affects a patient's speech characteristics, recent studies have proposed to leverage deep-learning-powered speech analysis models for depression diagnosis, which often require centralized learning on the collected voice data. However, this centralized training requiring data to be stored at a server raises the risks of severe voice data breaches, and people may not be willing to share their speech data with third parties due to privacy concerns.
View Article and Find Full Text PDFA deep tensor-based approach for automatic depression recognition from speech utterances.
PLoS One
August 2022
Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States of America.
Depression is one of the significant mental health issues affecting all age groups globally. While it has been widely recognized to be one of the major disease burdens in populations, complexities in definitive diagnosis present a major challenge. Usually, trained psychologists utilize conventional methods including individualized interview assessment and manually administered PHQ-8 scoring.
View Article and Find Full Text PDFPaternal gene pool of Malays in Southeast Asia and its applications for the early expansion of Austronesians.
Am J Hum Biol
May 2021
B&R International Joint Laboratory for Eurasian Anthropology, Fudan University, Shanghai, China.
Article Synopsis
- This study investigates the origins and differentiation of Austronesian populations and their languages, focusing on the paternal lineage of Malays in Southeast Asia and their separation from related Asian groups like the Daic and Austro-Asiatic populations.
- Researchers analyzed Y-chromosome sequences from 50 Malays and 200 other related individuals, discovering six major paternal lineages with a similar expansion timeline dating back 5,000 to 6,000 years ago.
- The findings support theories by prior researchers about the common ancestry of Austronesians, showing that the emerging paternal lineages likely coincide with the early differentiation of modern Austronesian populations.
Uniparental Genetic Analyses Reveal the Major Origin of Fujian Tanka from Ancient Indigenous Daic Populations.
Hum Biol
August 2020
MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, 200438 Shanghai, China,
The Fujian Tanka people are officially classified as a southern Han ethnic group, whereas they have customs similar to Daic and Austronesion people. Whether they originated in Han or Daic people, there is no consensus. Three hypotheses have been proposed to explain the origin of this group: (1) the Han Chinese origin, (2) the ancient Daic origin, (3) and the admixture between Daic and Han.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!