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DNA mini-barcoding: An innovative solution for degraded DNA and its multidisciplinary application landscape.

Junrong Wang¹, Jianping Han¹, Xiaohui Pang¹

¹State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.

Biotechnology Advances

|July 6, 2026

Summary

DNA mini-barcoding amplifies short DNA fragments, overcoming limitations of conventional methods. This robust technology offers broad applications in forensics, food safety, and biodiversity assessment, even with degraded DNA.

Keywords:

DNA degradation DNA mini-barcoding Food authentication Forensic science Multidisciplinary applications Species identification

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Area of Science:

Molecular Biology
Genetics
Forensic Science

Background:

Conventional DNA barcoding struggles with degraded DNA samples.
DNA mini-barcoding targets shorter DNA fragments, enhancing success rates.
This technique is valuable for complex matrices and fragmented DNA.

Purpose of the Study:

To review current advances in DNA mini-barcoding technology.
To delineate its expanding application landscape across various disciplines.
To provide methodological references for its implementation.

Main Methods:

Amplification of short DNA fragments (mini-barcoding).
Application in forensic evidence tracing.
Use in identifying fossils, archaeological remains, and verifying food authenticity.

Main Results:

Successful application in forensic science for biological evidence tracing.
Enabled identification of ancient DNA from fossils and archaeological samples.
Facilitated food authenticity verification and detection of adulteration in traditional Chinese medicine.

Conclusions:

DNA mini-barcoding is a robust approach for analyzing degraded and complex DNA.
Its applications span forensics, biomonitoring, biodiversity assessment, and wildlife trade regulation.
Future work should focus on primer optimization, reference library construction, and integration with quantitative methods.