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Updated: Jan 14, 2026

Dissection and Downstream Analysis of Zebra Finch Embryos at Early Stages of Development
Published on: June 21, 2014
Evolution of Large Polymorphic Inversions in a Panmictic Songbird
Yifan Pei1,2,3,4, Wolfgang Forstmeier3, Alexander Suh1,2,4
1Department of Organismal Biology-Systematic Biology, Evolutionary Biology Centre, Science for Life Laboratory, Uppsala University, Norbyv. 18D, Uppsala 75236, Sweden.
Large chromosomal inversions are key to genetic diversity and adaptation. This study identified new inversions in zebra finches, revealing they are often complex and maintained by weak heterosis, influencing fitness.
Area of Science:
- Evolutionary genetics
- Population genomics
- Animal models
Background:
- Chromosomal inversions significantly contribute to genetic diversity, local adaptation, and speciation.
- The selection pressures maintaining polymorphic inversions at high frequencies are not well understood.
Purpose of the Study:
- To systematically identify large polymorphic inversions segregating at high frequencies in the zebra finch genome.
- To investigate the evolutionary dynamics and maintenance mechanisms of these inversions.
Main Methods:
- Genome-wide SNP markers and linked-read sequencing from wild and captive zebra finches.
- Systematic scanning of a high-quality zebra finch reference genome.
- Population genomic analyses and fitness-related measures in a large captive population.
Main Results:
- Identified six bona fide large polymorphic inversions, including two on microchromosomes, and eight putative inversions.
- Most identified inversions are complex, containing nested inversions, and emerged 0.6-2.2 million years ago.
- Three inversions (Tgu11, Tgu27, TguZ) may be maintained by net heterosis; Tgu13 shows weak positive additive effects on fitness.
Conclusions:
- Microchromosomes are likely hotspots for inversion polymorphisms.
- Inversions are often structurally complex with nested elements.
- Weak heterosis with small fitness effects appears to be the primary mechanism maintaining inversions, necessitating large sample sizes for detection.
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