Literature DB >> 29103934

Genome-Based Sexing Provides Clues about Behavior and Social Structure in the Woolly Mammoth.

Patrícia Pečnerová1, David Díez-Del-Molino2, Nicolas Dussex2, Tatiana Feuerborn3, Johanna von Seth4, Johannes van der Plicht5, Pavel Nikolskiy6, Alexei Tikhonov7, Sergey Vartanyan8, Love Dalén9.   

Abstract

While present-day taxa are valuable proxies for understanding the biology of extinct species, it is also crucial to examine physical remains in order to obtain a more comprehensive view of their behavior, social structure, and life histories [1, 2]. For example, information on demographic parameters such as age distribution and sex ratios in fossil assemblages can be used to accurately infer socioecological patterns (e.g., [3]). Here we use genomic data to determine the sex of 98 woolly mammoth (Mammuthus primigenius) specimens in order to infer social and behavioral patterns in the last 60,000 years of the species' existence. We report a significant excess of males among the identified samples (69% versus 31%; p < 0.0002). We argue that this male bias among mammoth remains is best explained by males more often being caught in natural traps that favor preservation. We hypothesize that this is a consequence of social structure in proboscideans, which is characterized by matriarchal hierarchy and sex segregation. Without the experience associated with living in a matriarchal family group, or a bachelor group with an experienced bull, young or solitary males may have been more prone to die in natural traps where good preservation is more likely.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mammuthus primigenius; ancient DNA; behaviour; mortality; paleogenetics; sex bias; sex ratio

Mesh:

Year:  2017        PMID: 29103934     DOI: 10.1016/j.cub.2017.09.064

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  12 in total

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4.  Inference of natural selection from ancient DNA.

Authors:  Marianne Dehasque; María C Ávila-Arcos; David Díez-Del-Molino; Matteo Fumagalli; Katerina Guschanski; Eline D Lorenzen; Anna-Sapfo Malaspinas; Tomas Marques-Bonet; Michael D Martin; Gemma G R Murray; Alexander S T Papadopulos; Nina Overgaard Therkildsen; Daniel Wegmann; Love Dalén; Andrew D Foote
Journal:  Evol Lett       Date:  2020-03-18

5.  Competitive mapping allows for the identification and exclusion of human DNA contamination in ancient faunal genomic datasets.

Authors:  Tatiana R Feuerborn; Eleftheria Palkopoulou; Tom van der Valk; Johanna von Seth; Arielle R Munters; Patrícia Pečnerová; Marianne Dehasque; Irene Ureña; Erik Ersmark; Vendela Kempe Lagerholm; Maja Krzewińska; Ricardo Rodríguez-Varela; Anders Götherström; Love Dalén; David Díez-Del-Molino
Journal:  BMC Genomics       Date:  2020-11-30       Impact factor: 3.969

6.  Molecular sexing of degraded DNA from elephants and mammoths: a genotyping assay relevant both to conservation biology and to paleogenetics.

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8.  Development and Optimization of a Silica Column-Based Extraction Protocol for Ancient DNA.

Authors:  Marianne Dehasque; Patrícia Pečnerová; Vendela Kempe Lagerholm; Erik Ersmark; Gleb K Danilov; Peter Mortensen; Sergey Vartanyan; Love Dalén
Journal:  Genes (Basel)       Date:  2022-04-13       Impact factor: 4.141

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Authors:  David Díez-Del-Molino; Johanna von Seth; Niclas Gyllenstrand; Fredrik Widemo; Niklas Liljebäck; Mikael Svensson; Per Sjögren-Gulve; Love Dalén
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.379

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