Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890872080> ?p ?o ?g. }
- W2890872080 endingPage "99" @default.
- W2890872080 startingPage "63" @default.
- W2890872080 abstract "Recent advances in DNA sequencing and genotyping technologies are rapidly building our capacity to address ecological, evolutionary, and conservation questions for wildlife species. However, a large portion of wildlife genetic research relies on samples containing low quantities and quality of DNA, such as non-invasive, archival, and environmental DNA (eDNA) samples. These samples present unique methodological challenges that are largely responsible for a lag in the adoption of new genetic technologies for many areas of wildlife research. Nonetheless, steady progress is being made as researchers test and refine laboratory protocols and bioinformatic methods tailored to low-quality samples. Here we provide an overview of the progress toward low-quality sample applications for amplicon sequencing, single nucleotide polymorphism (SNP) genotyping, DNA capture, mitogenome sequencing, restriction site-associated DNA sequencing (RADseq), and whole-genome sequencing. We also review methods for generating DNA sequence data from samples comprised of multiple individuals and species, such as eDNA or fecal samples, including metagenome sequencing, metabarcoding, metagenome skimming, and metatranscriptomics. The implementation of these approaches has provided insight into a wide range of questions such as modern and historic population genetic structure and diversity, adaptation, inbreeding, ancient hybridization, occupancy, diet composition, microbiome composition, and many more. As the development of methods tailored for low-quality DNA sources continues to advance over the coming years, we expect these samples to provide unprecedented insight into the ecology, evolution, and conservation of wildlife species." @default.
- W2890872080 created "2018-09-27" @default.
- W2890872080 creator A5062440774 @default.
- W2890872080 creator A5075959097 @default.
- W2890872080 creator A5079506486 @default.
- W2890872080 creator A5088744110 @default.
- W2890872080 date "2018-01-01" @default.
- W2890872080 modified "2023-09-30" @default.
- W2890872080 title "Advances in Using Non-invasive, Archival, and Environmental Samples for Population Genomic Studies" @default.
- W2890872080 cites W1501319480 @default.
- W2890872080 cites W1522470713 @default.
- W2890872080 cites W1524320030 @default.
- W2890872080 cites W1552342091 @default.
- W2890872080 cites W1576934797 @default.
- W2890872080 cites W1594938633 @default.
- W2890872080 cites W1739789680 @default.
- W2890872080 cites W1755221728 @default.
- W2890872080 cites W1850051053 @default.
- W2890872080 cites W1888532353 @default.
- W2890872080 cites W1933894152 @default.
- W2890872080 cites W1938962610 @default.
- W2890872080 cites W1964350334 @default.
- W2890872080 cites W1965541769 @default.
- W2890872080 cites W1965783575 @default.
- W2890872080 cites W1966762468 @default.
- W2890872080 cites W1967816932 @default.
- W2890872080 cites W1973592274 @default.
- W2890872080 cites W1974851910 @default.
- W2890872080 cites W1976393717 @default.
- W2890872080 cites W1977483949 @default.
- W2890872080 cites W1978732934 @default.
- W2890872080 cites W1979060637 @default.
- W2890872080 cites W1980416000 @default.
- W2890872080 cites W1987253891 @default.
- W2890872080 cites W1987648496 @default.
- W2890872080 cites W1990811118 @default.
- W2890872080 cites W1990817490 @default.
- W2890872080 cites W1991909065 @default.
- W2890872080 cites W1994283123 @default.
- W2890872080 cites W1996746964 @default.
- W2890872080 cites W1999057382 @default.
- W2890872080 cites W2000131964 @default.
- W2890872080 cites W2001237645 @default.
- W2890872080 cites W2001526641 @default.
- W2890872080 cites W2002133468 @default.
- W2890872080 cites W2006465310 @default.
- W2890872080 cites W2010935238 @default.
- W2890872080 cites W2012313205 @default.
- W2890872080 cites W2012818552 @default.
- W2890872080 cites W2014650099 @default.
- W2890872080 cites W2017815194 @default.
- W2890872080 cites W2019391367 @default.
- W2890872080 cites W2022318945 @default.
- W2890872080 cites W2023025638 @default.
- W2890872080 cites W2028256931 @default.
- W2890872080 cites W2034134936 @default.
- W2890872080 cites W2037412015 @default.
- W2890872080 cites W2037878144 @default.
- W2890872080 cites W2039133821 @default.
- W2890872080 cites W2044062766 @default.
- W2890872080 cites W2044879785 @default.
- W2890872080 cites W2047998066 @default.
- W2890872080 cites W2054560851 @default.
- W2890872080 cites W2055987794 @default.
- W2890872080 cites W2060128834 @default.
- W2890872080 cites W2061680337 @default.
- W2890872080 cites W2062772087 @default.
- W2890872080 cites W2063580733 @default.
- W2890872080 cites W2065363036 @default.
- W2890872080 cites W2067218923 @default.
- W2890872080 cites W2069567328 @default.
- W2890872080 cites W2070721758 @default.
- W2890872080 cites W2074171475 @default.
- W2890872080 cites W2074941805 @default.
- W2890872080 cites W2076552407 @default.
- W2890872080 cites W2076848049 @default.
- W2890872080 cites W2077663320 @default.
- W2890872080 cites W2078797793 @default.
- W2890872080 cites W2080243459 @default.
- W2890872080 cites W2080419284 @default.
- W2890872080 cites W2082193063 @default.
- W2890872080 cites W2084458837 @default.
- W2890872080 cites W2085315239 @default.
- W2890872080 cites W2088238164 @default.
- W2890872080 cites W2088695664 @default.
- W2890872080 cites W2089212356 @default.
- W2890872080 cites W2090443474 @default.
- W2890872080 cites W2090684975 @default.
- W2890872080 cites W2091077157 @default.
- W2890872080 cites W2095829542 @default.
- W2890872080 cites W2096283688 @default.
- W2890872080 cites W2096557606 @default.
- W2890872080 cites W2096648902 @default.
- W2890872080 cites W2096917893 @default.
- W2890872080 cites W2098264076 @default.
- W2890872080 cites W2098869000 @default.
- W2890872080 cites W2099162696 @default.
- W2890872080 cites W2099221601 @default.