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  4. Molecular Sexing of Birds Using Quantitative PCR (qPCR) of Sex-Linked Genes and Logistic Models

Molecular Sexing of Birds Using Quantitative PCR (qPCR) of Sex-Linked Genes and Logistic Models

Dates

Publication Date
Time Period
2023

Citation

McKeeman, C.M., Petrou, E.L., Scott, L.C., and Ramey, A.M., 2024, Molecular sexing of birds using quantitative PCR (qPCR) of sex-linked genes and logistic models: U.S. Geological Survey data release, https://doi.org/10.5066/P9YVCG6U.

Summary

This dataset provides cycle threshold (Ct) values achieved during qPCR for 6 sex-linked genes, and two autosomal genes, for individuals from 60 species and across 13 orders of birds.

Contacts

Point of Contact :
Alaska Science Center
Originator :
Cherie M Mckeeman, Eleni L Petrou, Laura C Scott, Andy M Ramey
Metadata Contact :
Alaska Science Center
Publisher :
Alaska Science Center
Distributor :
USGS ScienceBase Team
SDC Data Owner :
Alaska Science Center
USGS Mission Area :
Ecosystems

Attached Files

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bird_geneIDs_mckeeman.csv 473 Bytes text/csv
bird_qPCRmolecularSexing_mckeeman.csv 66.67 KB text/csv
bird_taxonomy_mckeeman.csv 6.25 KB text/csv
bird_qPCRmolecularSexing_mckeeman_metadata.html 56.67 KB text/html
bird_qPCRmolecularSexing_mckeeman_metadata.xml
Original FGDC Metadata
View 		25.6 KB application/fgdc+xml

Purpose

These data were collected using quantitative PCR (qPCR), enabling the direct estimation of sex-linked gene copies from DNA extracted from the blood of 60 birds species representing 13 orders. With these data, we built predictive models to assign sex using logistic regression. The appropriate use of this data includes building additional predictive models for sexing bird species not included in our models, and sexing bird species that are included in our models.

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  • Alaska Science Center (ASC)

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9YVCG6U

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