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Assignment of unknown contigs to chicken microchromosome 16 (GGA16)

dataset
posted on 2024-09-29, 05:12 authored by Hagerman Fish Culture Experiment Station, USDA-ARS
Trisomy mapping has long been a powerful means for assigning genes to chicken microchromosome 16 (GGA16). The major histocompatibility complex (MHC-Y, MHC-B) and CD1 genes were previously assigned to GGA16 by trisomy mapping. Here we combined array comparative genomic hybridization (aCGH) with trisomy mapping to investigate unassigned genomic contigs (temporarily assigned to chrUn_random) by the chicken genome sequencing projects for sequences originating from GGA16. We used the Cornell Trisomy chicken line in our study, as this line contains an extra copy of GGA16 and crosses between these individuals generate disomic, trisomic, and tetrasomic GGA16 offspring. Through the analysis of these individuals with aCGH, we compare signal intensities from unknowns to those expected based on copy number, and putatively assign or reject assignment to GGA16 accordingly. Overall design: A three-condition experiment, where individuals (n=8) are classified based on their GGA16 content, with a total of 24 individuals. Each individual is either disomic (2X), trisomic (3X) or tetrasomic (4X) for GGA16. This 'loop' design also incorporates a dye swap.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2013-06-06

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

genetic variation

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA207368

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA207368 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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