Matches in SemOpenAlex for { <https://semopenalex.org/work/W3093832031> ?p ?o ?g. }
- W3093832031 endingPage "13021" @default.
- W3093832031 startingPage "13011" @default.
- W3093832031 abstract "Abstract While genetic diversity of threatened species is a major concern of conservation biologists, historic patterns of genetic variation are often unknown. A powerful approach to assess patterns and processes of genetic erosion is via ancient DNA techniques. Herein, we analyzed mtDNA from historical samples (1800s to present) of Andean Condors ( Vultur gryphus ) to investigate whether contemporary low genetic variability is the result of recent human expansion and persecution, and compared this genetic history to that of California condors ( Gymnogyps californianus ).We then explored historic demographies for both species via coalescent simulations. We found that Andean condors have lost at least 17% of their genetic variation in the early 20th century. Unlike California condors, however, low mtDNA diversity in the Andean condor was mostly ancient, before European arrival. However, we found that both condor species shared similar demographies in that population bottlenecks were recent and co‐occurred with the introduction of livestock to the Americas and the global collapse of marine mammals. Given the combined information on genetic and demographic processes, we suggest that the protection of key habitats should be targeted for conserving extant genetic diversity and facilitate the natural recolonization of lost territories, while nuclear genomic data should be used to inform translocation plans." @default.
- W3093832031 created "2020-10-29" @default.
- W3093832031 creator A5020598208 @default.
- W3093832031 creator A5021689907 @default.
- W3093832031 creator A5065576094 @default.
- W3093832031 creator A5079105431 @default.
- W3093832031 date "2020-10-21" @default.
- W3093832031 modified "2023-10-09" @default.
- W3093832031 title "Andean and California condors possess dissimilar genetic composition but exhibit similar demographic histories" @default.
- W3093832031 cites W1497905613 @default.
- W3093832031 cites W1550267570 @default.
- W3093832031 cites W1592325997 @default.
- W3093832031 cites W1793793548 @default.
- W3093832031 cites W1849332773 @default.
- W3093832031 cites W1964293099 @default.
- W3093832031 cites W1969042907 @default.
- W3093832031 cites W1980041208 @default.
- W3093832031 cites W1982972392 @default.
- W3093832031 cites W1990074132 @default.
- W3093832031 cites W2001255206 @default.
- W3093832031 cites W2004805145 @default.
- W3093832031 cites W2005078025 @default.
- W3093832031 cites W2031856012 @default.
- W3093832031 cites W2035479771 @default.
- W3093832031 cites W2054579209 @default.
- W3093832031 cites W2056798056 @default.
- W3093832031 cites W2084939985 @default.
- W3093832031 cites W2087283342 @default.
- W3093832031 cites W2088238164 @default.
- W3093832031 cites W2090638041 @default.
- W3093832031 cites W2096420865 @default.
- W3093832031 cites W2114396533 @default.
- W3093832031 cites W2116585889 @default.
- W3093832031 cites W2118805524 @default.
- W3093832031 cites W2120730409 @default.
- W3093832031 cites W2123488456 @default.
- W3093832031 cites W2124014047 @default.
- W3093832031 cites W2130071048 @default.
- W3093832031 cites W2139949866 @default.
- W3093832031 cites W2143359955 @default.
- W3093832031 cites W2144231501 @default.
- W3093832031 cites W2145919149 @default.
- W3093832031 cites W2151798416 @default.
- W3093832031 cites W2154733178 @default.
- W3093832031 cites W2169776506 @default.
- W3093832031 cites W2170147742 @default.
- W3093832031 cites W2185843358 @default.
- W3093832031 cites W2248208530 @default.
- W3093832031 cites W2298837106 @default.
- W3093832031 cites W2301264036 @default.
- W3093832031 cites W2308875928 @default.
- W3093832031 cites W2331183246 @default.
- W3093832031 cites W2332996573 @default.
- W3093832031 cites W2410016023 @default.
- W3093832031 cites W2504151558 @default.
- W3093832031 cites W2521398366 @default.
- W3093832031 cites W2525234416 @default.
- W3093832031 cites W2532468620 @default.
- W3093832031 cites W2542736851 @default.
- W3093832031 cites W2755331695 @default.
- W3093832031 cites W2758576893 @default.
- W3093832031 cites W2799524357 @default.
- W3093832031 cites W2800522591 @default.
- W3093832031 cites W2805420879 @default.
- W3093832031 cites W2806736659 @default.
- W3093832031 cites W2808613321 @default.
- W3093832031 cites W2886427804 @default.
- W3093832031 cites W2895139631 @default.
- W3093832031 cites W2953610756 @default.
- W3093832031 cites W2955534930 @default.
- W3093832031 cites W3003001495 @default.
- W3093832031 cites W3012062953 @default.
- W3093832031 cites W3015648376 @default.
- W3093832031 cites W3035387489 @default.
- W3093832031 cites W3093549836 @default.
- W3093832031 cites W4234716030 @default.
- W3093832031 cites W4235253304 @default.
- W3093832031 doi "https://doi.org/10.1002/ece3.6887" @default.
- W3093832031 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7713948" @default.
- W3093832031 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33304512" @default.
- W3093832031 hasPublicationYear "2020" @default.
- W3093832031 type Work @default.
- W3093832031 sameAs 3093832031 @default.
- W3093832031 citedByCount "5" @default.
- W3093832031 countsByYear W30938320312020 @default.
- W3093832031 countsByYear W30938320312021 @default.
- W3093832031 countsByYear W30938320312022 @default.
- W3093832031 countsByYear W30938320312023 @default.
- W3093832031 crossrefType "journal-article" @default.
- W3093832031 hasAuthorship W3093832031A5020598208 @default.
- W3093832031 hasAuthorship W3093832031A5021689907 @default.
- W3093832031 hasAuthorship W3093832031A5065576094 @default.
- W3093832031 hasAuthorship W3093832031A5079105431 @default.
- W3093832031 hasBestOaLocation W30938320311 @default.
- W3093832031 hasConcept C104317684 @default.
- W3093832031 hasConcept C144024400 @default.
- W3093832031 hasConcept C149923435 @default.
- W3093832031 hasConcept C180754005 @default.