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How structural variants shape avian phenotypes: Lessons from model systems.

María Recuerda1, Leonardo Campagna1,2

  • 1Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Ithaca, New York, USA.

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|April 23, 2024
PubMed
Summary
This summary is machine-generated.

Structural variations (SVs) significantly impact avian traits, with short indels in chickens affecting body weight and plumage. Advances in sequencing technologies will further reveal SVs

Keywords:
Avian model systemschromosomal rearrangementsgenotype/phenotype associationspangenomesstructural variants

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Area of Science:

  • Genomics
  • Evolutionary Biology
  • Animal Science

Background:

  • Structural variations (SVs) are increasingly recognized for their role in phenotypic diversity.
  • Recent advancements in long-read sequencing and bioinformatics have improved SV detection.
  • The impact of SVs on phenotypes, particularly in avian systems, remains an area of active research.

Purpose of the Study:

  • To review the role of SVs in shaping phenotypes within avian model systems.
  • To identify general patterns in SV types, lengths, and their associated traits.
  • To highlight the implications of SVs for understanding phenotypic variation and evolution.

Main Methods:

  • Literature review of studies on structural variations in avian species.
  • Analysis of identified SVs, focusing on type, length, genomic location, and associated traits.
  • Synthesis of findings to identify common patterns and examples of SV-mediated phenotypic effects.

Main Results:

  • Most identified avian SVs are short indels in chickens, often linked to body weight and plumage color.
  • Shorter SVs are more frequently detected due to prevalence and short-read sequencing biases.
  • SVs commonly occur in non-coding regions (introns) and are often associated with dominant traits; complex rearrangements can have pleiotropic effects.

Conclusions:

  • SVs are crucial drivers of phenotypic diversity in avian species.
  • The increasing implementation of long-read technologies is expected to accelerate SV discovery and characterization.
  • A comprehensive understanding of phenotypic traits requires considering SVs alongside other genetic variations like SNPs.