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- W2895068772 abstract "Giant-Skippers (Megathymini) are unusual thick-bodied, moth-like butterflies whose caterpillars feed inside Yucca roots and Agave leaves. Giant-Skippers are attributed to the subfamily Hesperiinae and they are endemic to southern and mostly desert regions of the North American continent. To shed light on the genotypic determinants of their unusual phenotypic traits, we sequenced and annotated a draft genome of the largest Giant-Skipper species, the Bear (Megathymus ursus violae). The Bear skipper genome is the least heterozygous among sequenced Lepidoptera genomes, possibly due to much smaller population size and extensive inbreeding. Their lower heterozygosity helped us to obtain a high-quality genome with an N50 of 4.2 Mbp. The ~ 430 Mb genome encodes about 14000 proteins. Phylogenetic analysis supports placement of Giant-Skippers with Grass-Skippers (Hesperiinae). We find that proteins involved in odorant and taste sensing as well as in oxidative reactions have diverged significantly in Megathymus as compared to Lerema, another Grass-Skipper. In addition, the Giant-Skipper has lost several odorant and gustatory receptors and possesses many fewer (1/3-1/2 of other skippers) anti-oxidative enzymes. Such differences may be related to the unusual life style of Giant-Skippers: they do not feed as adults, and their caterpillars feed inside Yuccas and Agaves, which provide a source of antioxidants such as polyphenols." @default.
- W2895068772 created "2018-10-12" @default.
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- W2895068772 date "2018-10-06" @default.
- W2895068772 modified "2023-09-24" @default.
- W2895068772 title "The Bear Giant-Skipper genome suggests genetic adaptations to living inside yucca roots" @default.
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- W2895068772 cites W1943131439 @default.
- W2895068772 cites W1967384938 @default.
- W2895068772 cites W1978164115 @default.
- W2895068772 cites W1978646385 @default.
- W2895068772 cites W1980122276 @default.
- W2895068772 cites W1993204833 @default.
- W2895068772 cites W2008856488 @default.
- W2895068772 cites W2011657487 @default.
- W2895068772 cites W2018437621 @default.
- W2895068772 cites W2021771935 @default.
- W2895068772 cites W2022986961 @default.
- W2895068772 cites W2030795656 @default.
- W2895068772 cites W2033049603 @default.
- W2895068772 cites W2039752368 @default.
- W2895068772 cites W2044992222 @default.
- W2895068772 cites W2051020903 @default.
- W2895068772 cites W2055043387 @default.
- W2895068772 cites W2071501400 @default.
- W2895068772 cites W2076048958 @default.
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- W2895068772 doi "https://doi.org/10.1007/s00438-018-1494-6" @default.
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- W2895068772 hasPublicationYear "2018" @default.
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