Genomics reveals the origins of ancient specimens
Cong, Q.; Shen, J.; Zhang, J.; Kinch, L. N.; Calhoun, J. V.; Warren, A. D.; Grishin, N. V.
Show abstract
Centuries of zoological studies amassed billions of specimens in collections worldwide. Genomics of these specimens promises to rejuvenate biodiversity research. The obstacles stem from DNA degradation with specimen age. Overcoming this challenge, we set out to resolve a series of long-standing controversies involving a group of butterflies. We deduced geographical origins of several ancient specimens of uncertain provenance that are at the heart of these debates. Here, genomics tackles one of the greatest problems in zoology: countless old, poorly documented specimens that serve as irreplaceable embodiments of species concepts. The ability to figure out where they were collected will resolve many on-going disputes. More broadly, we show the utility of genomics applied to ancient museum specimens to delineate the boundaries of species and populations, and to hypothesize about genotypic determinants of phenotypic traits.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Evolutionary and phylogenetic insights from a nuclear genome sequence of the extinct, giant subfossil koala lemur Megaladapis edwardsi 94%
- The genetic structure and adaptation of Andean highlanders and Amazonian dwellers is influenced by the interplay between geography and culture 94%
- The importance of small island populations for the long term survival of endangered large-bodied insular mammals 94%
Similar papers in this journal
Similar papers in this journal
- Ecological specialisation and evolutionary reticulation in extant Hyaenidae 95%
- Genomic analyses capture the human-induced demographic collapse and recovery in a wide-ranging cervid 94%
- Y-linked copy number polymorphism of target of rapamycin(TOR) is associated with sexual size dimorphism in seed beetles 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.