Developmental validation of a novel multiple genotyping assay with 23 pigeon STR loci

Pigeons (<i>Columba livia</i>) occupy an important place in pigeon racing due to their extraordinary flying and nesting abilities. In order to maintain fairness in these races through accurate individual identification of pigeons using forensic techniques, we developed a novel multiple genotyping system containing 23 pigeon short tandem repeat (STR) polymorphisms and a chromo-helicase DNA binding gene (CHD). This system underwent rigorous validation in accordance with the guidelines set by the Scientific Working Group on DNA Analysis Methods, including species specificity, sensitivity, repeatability, reproducibility, size precision, and a population study of 219 unrelated individual pigeons. The results demonstrated that the novel pigeon STR system was specific, reproducible, accurate and consistent. Complete profiles were obtained with 62.5 pg of pigeon DNA input. Furthermore, the combined discrimination power of the 23 STR loci reached 1-3.666 4 × 10<sup>-19</sup>, while the combined exclusion power was 1-6.596 8 × 10<sup>-5</sup>. These findings underscore the high polymorphism and informativeness of pigeon STR genetic markers, making them ideal for pigeon individual identification and parentage testing.

Authors

Institutions

Publication Details

Journal
Forensic Sciences Research
Published
2025-10-27
DOI
https://doi.org/10.1093/fsr/owaf037
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developmental validation of a novel multiple genotyping assay with 23 pigeon STR loci

Rongxing Wei, Jingqing Le, Yangyang Zheng, Ling Chen et al.
Forensic Sciences Research
Genetic diversity and population structure
article

Developmental validation of a novel multiple genotyping assay with 23 pigeon STR loci

Rongxing Wei, Jingqing Le, Yangyang Zheng, Ling Chen, Xueyuan Liu, Chengliang Yang, Weibin Wu, Shiying Deng, Weian Du, Rufeng Bai
article en

Abstract

Pigeons (<i>Columba livia</i>) occupy an important place in pigeon racing due to their extraordinary flying and nesting abilities. In order to maintain fairness in these races through accurate individual identification of pigeons using forensic techniques, we developed a novel multiple genotyping system containing 23 pigeon short tandem repeat (STR) polymorphisms and a chromo-helicase DNA binding gene (CHD). This system underwent rigorous validation in accordance with the guidelines set by the Scientific Working Group on DNA Analysis Methods, including species specificity, sensitivity, repeatability, reproducibility, size precision, and a population study of 219 unrelated individual pigeons. The results demonstrated that the novel pigeon STR system was specific, reproducible, accurate and consistent. Complete profiles were obtained with 62.5 pg of pigeon DNA input. Furthermore, the combined discrimination power of the 23 STR loci reached 1-3.666 4 × 10<sup>-19</sup>, while the combined exclusion power was 1-6.596 8 × 10<sup>-5</sup>. These findings underscore the high polymorphism and informativeness of pigeon STR genetic markers, making them ideal for pigeon individual identification and parentage testing.

Forensic Sciences ResearchVol. 10(4)
Ministry of Public Security of the People's Republic of China (CN), Foshan University (CN), China University of Political Science and Law (CN), Zhaoqing University (CN), Ji Hua Laboratory (CN), Southern Medical University (CN), Jiangxi Agricultural University (CN)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 67%
Genetic diversity and population structure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.