Open Access
Open access

Recovering signals of ghost archaic introgression in African populations

Тип публикацииPosted Content
Дата публикации2018-03-21
SJR
CiteScore
Impact factor
ISSN26928205
Краткое описание

While introgression from Neanderthals and Denisovans has been well-documented in modern humans outside Africa, the contribution of archaic hominins to the genetic variation of present-day Africans remains poorly understood. Using 405 whole-genome sequences from four sub-Saharan African populations, we provide complementary lines of evidence for archaic introgression into these populations. Our analyses of site frequency spectra indicate that these populations derive 2-19% of their genetic ancestry from an archaic population that diverged prior to the split of Neanderthals and modern humans. Using a method that can identify segments of archaic ancestry without the need for reference archaic genomes, we built genome-wide maps of archaic ancestry in the Yoruba and the Mende populations that recover about 482 and 502 megabases of archaic sequence, respectively. Analyses of these maps reveal segments of archaic ancestry at high frequency in these populations that represent potential targets of adaptive introgression. Our results reveal the substantial contribution of archaic ancestry in shaping the gene pool of present-day African populations.

One sentence summary

Multiple present-day African populations inherited genes from an unknown archaic population that diverged before modern humans and Neanderthals split.

Для доступа к списку цитирований публикации необходимо авторизоваться.

Топ-30

Журналы

1
2
3
4
5
6
bioRxiv
6 публикаций, 42.86%
Genome Biology
1 публикация, 7.14%
Nature
1 публикация, 7.14%
PLoS Genetics
1 публикация, 7.14%
American Journal of Physical Anthropology
1 публикация, 7.14%
Annals of Human Biology
1 публикация, 7.14%
Genetics
1 публикация, 7.14%
eLife
1 публикация, 7.14%
Lobachevskii Journal of Mathematics
1 публикация, 7.14%
1
2
3
4
5
6

Издатели

1
2
3
4
5
6
openRxiv
6 публикаций, 42.86%
Springer Nature
2 публикации, 14.29%
Public Library of Science (PLoS)
1 публикация, 7.14%
Wiley
1 публикация, 7.14%
Taylor & Francis
1 публикация, 7.14%
Oxford University Press
1 публикация, 7.14%
eLife Sciences Publications
1 публикация, 7.14%
Pleiades Publishing
1 публикация, 7.14%
1
2
3
4
5
6
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
 Войти с ORCID
Метрики
14
Поделиться
Цитировать
ГОСТ |
Цитировать
Durvasula A., Sankararaman S. Recovering signals of ghost archaic introgression in African populations // bioRxiv. 2018.
ГОСТ со всеми авторами (до 50) Скопировать
Durvasula A., Sankararaman S. Recovering signals of ghost archaic introgression in African populations // bioRxiv. 2018.
RIS |
Цитировать
TY - GENERIC
DO - 10.1101/285734
UR - http://biorxiv.org/lookup/doi/10.1101/285734
TI - Recovering signals of ghost archaic introgression in African populations
T2 - bioRxiv
AU - Durvasula, Arun
AU - Sankararaman, Sriram
PY - 2018
DA - 2018/03/21
PB - openRxiv
SN - 2692-8205
ER -
BibTex
Цитировать
BibTex (до 50 авторов) Скопировать
@article{2018_Durvasula,
author = {Arun Durvasula and Sriram Sankararaman},
title = {Recovering signals of ghost archaic introgression in African populations},
journal = {bioRxiv},
year = {2018},
publisher = {openRxiv},
month = {mar},
url = {http://biorxiv.org/lookup/doi/10.1101/285734},
doi = {10.1101/285734}
}
Ошибка в публикации?