2022
DOI: 10.1186/s12862-022-01998-8
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Selection and demography drive range-wide patterns of MHC-DRB variation in mule deer

Abstract: Background Standing genetic variation is important especially in immune response-related genes because of threats to wild populations like the emergence of novel pathogens. Genetic variation at the major histocompatibility complex (MHC), which is crucial in activating the adaptive immune response, is influenced by both natural selection and historical population demography, and their relative roles can be difficult to disentangle. To provide insight into the influences of natural selection and … Show more

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Cited by 3 publications
(4 citation statements)
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“…Conversely, both the ω value and selective sweep analysis of HSP90 indicated the probability that Thai indigenous and local chicken breeds, as well as red junglefowls, have experienced balancing selection, consistent with the results of microsatellite analysis. The disparate genetic divergent patterns between the 2 thermotolerance-related genes, HSP70 and HSP90 , are likely driven by different selection modes ( Cook et al, 2022 ). The results of the present study suggest that purifying selection for thermal stress is common in Thai indigenous and local chicken breeds.…”
Section: Resultsmentioning
confidence: 99%
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“…Conversely, both the ω value and selective sweep analysis of HSP90 indicated the probability that Thai indigenous and local chicken breeds, as well as red junglefowls, have experienced balancing selection, consistent with the results of microsatellite analysis. The disparate genetic divergent patterns between the 2 thermotolerance-related genes, HSP70 and HSP90 , are likely driven by different selection modes ( Cook et al, 2022 ). The results of the present study suggest that purifying selection for thermal stress is common in Thai indigenous and local chicken breeds.…”
Section: Resultsmentioning
confidence: 99%
“…The paired-end 250-bp reads on the Illumina NovaSeq 6,000 platform were evaluated using FASTQC version 0.12.0, as described by Cook et al (2022) , to determine the quality of reads with a quality score above 20. The reads were merged using the “interleave” function in Python3 software.…”
Section: Methodsmentioning
confidence: 99%
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