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A pangenome graph reference of 30 chicken genomes allows genotyping of large and complex structural variants.

Publication ,  Journal Article
Rice, ES; Alberdi, A; Alfieri, J; Athrey, G; Balacco, JR; Bardou, P; Blackmon, H; Charles, M; Cheng, HH; Fedrigo, O; Fiddaman, SR; Formenti, G ...
Published in: BMC Biol
November 22, 2023

BACKGROUND: The red junglefowl, the wild outgroup of domestic chickens, has historically served as a reference for genomic studies of domestic chickens. These studies have provided insight into the etiology of traits of commercial importance. However, the use of a single reference genome does not capture diversity present among modern breeds, many of which have accumulated molecular changes due to drift and selection. While reference-based resequencing is well-suited to cataloging simple variants such as single-nucleotide changes and short insertions and deletions, it is mostly inadequate to discover more complex structural variation in the genome. METHODS: We present a pangenome for the domestic chicken consisting of thirty assemblies of chickens from different breeds and research lines. RESULTS: We demonstrate how this pangenome can be used to catalog structural variants present in modern breeds and untangle complex nested variation. We show that alignment of short reads from 100 diverse wild and domestic chickens to this pangenome reduces reference bias by 38%, which affects downstream genotyping results. This approach also allows for the accurate genotyping of a large and complex pair of structural variants at the K feathering locus using short reads, which would not be possible using a linear reference. CONCLUSIONS: We expect that this new paradigm of genomic reference will allow better pinpointing of exact mutations responsible for specific phenotypes, which will in turn be necessary for breeding chickens that meet new sustainability criteria and are resilient to quickly evolving pathogen threats.

Duke Scholars

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Published In

BMC Biol

DOI

EISSN

1741-7007

Publication Date

November 22, 2023

Volume

21

Issue

1

Start / End Page

267

Location

England

Related Subject Headings

  • Sequence Analysis, DNA
  • Genotype
  • Genomics
  • Genome
  • Developmental Biology
  • Chickens
  • Animals
  • 31 Biological sciences
  • 06 Biological Sciences
 

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Rice, E. S., Alberdi, A., Alfieri, J., Athrey, G., Balacco, J. R., Bardou, P., … Warren, W. C. (2023). A pangenome graph reference of 30 chicken genomes allows genotyping of large and complex structural variants. BMC Biol, 21(1), 267. https://doi.org/10.1186/s12915-023-01758-0
Rice, Edward S., Antton Alberdi, James Alfieri, Giridhar Athrey, Jennifer R. Balacco, Philippe Bardou, Heath Blackmon, et al. “A pangenome graph reference of 30 chicken genomes allows genotyping of large and complex structural variants.BMC Biol 21, no. 1 (November 22, 2023): 267. https://doi.org/10.1186/s12915-023-01758-0.
Rice ES, Alberdi A, Alfieri J, Athrey G, Balacco JR, Bardou P, et al. A pangenome graph reference of 30 chicken genomes allows genotyping of large and complex structural variants. BMC Biol. 2023 Nov 22;21(1):267.
Rice, Edward S., et al. “A pangenome graph reference of 30 chicken genomes allows genotyping of large and complex structural variants.BMC Biol, vol. 21, no. 1, Nov. 2023, p. 267. Pubmed, doi:10.1186/s12915-023-01758-0.
Rice ES, Alberdi A, Alfieri J, Athrey G, Balacco JR, Bardou P, Blackmon H, Charles M, Cheng HH, Fedrigo O, Fiddaman SR, Formenti G, Frantz LAF, Gilbert MTP, Hearn CJ, Jarvis ED, Klopp C, Marcos S, Mason AS, Velez-Irizarry D, Xu L, Warren WC. A pangenome graph reference of 30 chicken genomes allows genotyping of large and complex structural variants. BMC Biol. 2023 Nov 22;21(1):267.
Journal cover image

Published In

BMC Biol

DOI

EISSN

1741-7007

Publication Date

November 22, 2023

Volume

21

Issue

1

Start / End Page

267

Location

England

Related Subject Headings

  • Sequence Analysis, DNA
  • Genotype
  • Genomics
  • Genome
  • Developmental Biology
  • Chickens
  • Animals
  • 31 Biological sciences
  • 06 Biological Sciences