Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Genomic adaptations to cereal-based diets contribute to mitigate metabolic risk in some human populations of East Asian ancestry

Landini, A., Yu, S., Gnecchi-Ruscone, G. A., Abondio, P., Ojeda-Granados, C., Sarno, S., et al. (2020). Genomic adaptations to cereal-based diets contribute to mitigate metabolic risk in some human populations of East Asian ancestry. Evolutionary Applications, 00: 13090, pp. 1-17. doi:10.1111/eva.13090.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
shh2682.pdf (Verlagsversion), 2MB
Name:
shh2682.pdf
Beschreibung:
OA
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
:
shh2682pre.pdf (Preprint), 8MB
Name:
shh2682pre.pdf
Beschreibung:
OA . - Accepted manuscript
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
Supplementary info (Ergänzendes Material)
Beschreibung:
docx. - (last seen: Feb. 2021)
OA-Status:
externe Referenz:
Table S1‐S2 (Ergänzendes Material)
Beschreibung:
xlsx. - (last seen: Feb. 2021)
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Landini, Arianna, Autor
Yu, Shaobo, Autor
Gnecchi-Ruscone, Guido Alberto1, Autor           
Abondio, Paolo, Autor
Ojeda-Granados, Claudia, Autor
Sarno, Stefania, Autor
De Fanti, Sara, Autor
Gentilini, Davide, Autor
Blasio, Di, Autor
M., Anna, Autor
Jin, Hanjun, Autor
Nguyen, Thanh Tin, Autor
Romeo, Giovanni, Autor
Prata, Cecilia, Autor
Bortolini, Eugenio, Autor
Luiselli, Donata, Autor
Pettener, Davide, Autor
Sazzini, Marco, Autor
Affiliations:
1MHAAM, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2541699              

Inhalt

einblenden:
ausblenden:
Schlagwörter: dietary selective pressures, evolutionary medicine, genomic adaptation, human Asian populations, metabolic risk
 Zusammenfassung: Abstract Adoption of diets based on some cereals, especially on rice, signified an iconic change in nutritional habits for many Asian populations and a relevant challenge for their capability to maintain glucose homeostasis. Indeed, rice shows the highest carbohydrates content and glycaemic index among the domesticated cereals and its usual ingestion represents a potential risk factor for developing insulin resistance and related metabolic diseases. Nevertheless, type 2 diabetes and obesity epidemiological patterns differ among Asian populations that rely on rice as a staple food, with higher diabetes prevalence and increased levels of central adiposity observed in people of South Asian ancestry rather than in East Asians. This may be at least partly due to the fact that populations from East Asian regions where wild rice or other cereals such as millet have been already consumed before their cultivation and/or were early domesticated have relied on these nutritional resources for a period long enough to have possibly evolved biological adaptations that counteract their detrimental side effects. To test such a hypothesis, we compared adaptive evolution of these populations with that of control groups from regions where the adoption of cereal-based diets occurred many thousand years later and which were identified from a genome-wide dataset including 2,379 individuals from 124 East Asian and South Asian populations. This revealed selective sweeps and polygenic adaptive mechanisms affecting functional pathways involved in fatty acids metabolism, cholesterol/triglycerides biosynthesis from carbohydrates, regulation of glucose homeostasis and production of retinoic acid in Chinese Han and Tujia ethnic groups, as well as in people of Korean and Japanese ancestry. Accordingly, long-standing rice- and/or millet-based diets have possibly contributed to trigger the evolution of such biological adaptations, which might represent one of the factors that play a role in mitigating the metabolic risk of these East Asian populations.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2020-08-08
 Publikationsstatus: Online veröffentlicht
 Seiten: 17
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: 1 Introduction

2 Methods
2.1 Samples collection and genotyping
2.2 Data curation and assembly of a Pan-Asian dataset
2.3 Population structure analyses
2.4 Selection scans on the identified population clusters
2.5 Shortlisting of the most informative candidate adaptive genes
2.6 Gene network analyses aimed at testing for polygenic adaptation

3 Results
3.1 Exploring population structure in the assembled Pan-Asian dataset
3.2 Identification of genetically homogeneous population clusters
3.3 Detection of genomic regions enriched for selective sweeps in each population cluster
3.4 Fine mapping of the most informative candidate adaptive genes
3.5 Investigation of polygenic adaptive events in the Han-Tujia and Japanese clusters

4 Discussion
4.1 Population clusters within the South Asianand East Asian genomic landscapes
4.2 Distinctive patterns of adaptive evolution in candidate and control population clusters
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1111/eva.13090
Anderer: shh2682
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Evolutionary Applications
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Wiley-Blackwell
Seiten: - Band / Heft: 00 Artikelnummer: 13090 Start- / Endseite: 1 - 17 Identifikator: Anderer: 1752-4563
Anderer: 1752-4571
CoNE: https://pure.mpg.de/cone/journals/resource/1752-4563