Development of a 17-plex STR typing system for the identification of individuals and parentage testing in cattle

Accurate identification of animals and the verification of their parentage can be used to pedigree populations and support selective breeding. The International Society for Animal Genetics recommended 16 cattle STRs for individual identification and parentage testing in cattle, but no multiplex STR typing system contains these 16 STRs. Here, we develop an efficient 17-plex multiplex typing system for cattle that contains the 16 ISAG recommend STRs and a sex-determining marker. Compared to the Bovine Parenting Typing Kit (containing 11 of the 16 ISAG recommend STRs), our new typing system not only increases the number of molecular markers, but also simplifies the PCR operation and shortens the time for the typing procedure (from 4.5 h to 1 h 37 min). Profile can be generated from a single PCR reaction using as little as 1 ng of DNA. The combined probabilities of paternity exclusion CPE<sub>duo</sub> and CPE<sub>trio</sub> were 0.999804697 and 0.999999260, respectively. These results indicate that our 17-plex typing system is a fast, sensitive and species-specific method for the identification of individuals and their parentage for cattle. The application of this system will improve the efficiency of the identification of cattle individuals and their paternity, supporting population genetic research and the selective breeding of cattle.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-10-23
DOI
https://doi.org/10.1038/s41598-024-76547-y
Citations
2
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.47

Funders

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

Development of a 17-plex STR typing system for the identification of individuals and parentage testing in cattle

Ruolan Jiang, Gang Zhao, Runhong Luo, Songyang Shang et al.
2 citations
Scientific Reports
Molecular Biology Techniques and Applications
0.47
article

Development of a 17-plex STR typing system for the identification of individuals and parentage testing in cattle

Ruolan Jiang, Gang Zhao, Runhong Luo, Songyang Shang, Shuyi Zhang, J Zhang, Xuehai Du, David M. Irwin, Xiu-Juan Yu, Yutong Wang, Defu Zhang, Zhe Wang
article en
2 citations

Abstract

Accurate identification of animals and the verification of their parentage can be used to pedigree populations and support selective breeding. The International Society for Animal Genetics recommended 16 cattle STRs for individual identification and parentage testing in cattle, but no multiplex STR typing system contains these 16 STRs. Here, we develop an efficient 17-plex multiplex typing system for cattle that contains the 16 ISAG recommend STRs and a sex-determining marker. Compared to the Bovine Parenting Typing Kit (containing 11 of the 16 ISAG recommend STRs), our new typing system not only increases the number of molecular markers, but also simplifies the PCR operation and shortens the time for the typing procedure (from 4.5 h to 1 h 37 min). Profile can be generated from a single PCR reaction using as little as 1 ng of DNA. The combined probabilities of paternity exclusion CPE<sub>duo</sub> and CPE<sub>trio</sub> were 0.999804697 and 0.999999260, respectively. These results indicate that our 17-plex typing system is a fast, sensitive and species-specific method for the identification of individuals and their parentage for cattle. The application of this system will improve the efficiency of the identification of cattle individuals and their paternity, supporting population genetic research and the selective breeding of cattle.

Scientific ReportsVol. 14(1)
Shenyang Agricultural University (CN), University of Toronto (CA), Liaoning Academy of Agricultural Sciences (CN)
Department of Education of Liaoning Province
Gender equality
Openalex Percentile: Top 34%
Molecular Biology Techniques and Applications
0.47
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.