Yabin^1,2 Hu^1,2 , Wenfang^1,2 Wang^1,2

1 Biotechnology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
2 Institute of Life Sciences, Jiyang Colloge of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
International Journal of Molecular Ecology and Conservation, 2024, Vol. 14, No. 2   
Received: 08 Mar., 2024    Accepted: 16 Apr., 2024    Published: 30 Apr., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Genomic tools have been shown to provide precise estimates of effective population size, inbreeding levels, demographic history, and population structure, which are critical for conservation efforts. Next-generation sequencing (NGS) and other genomic techniques have enabled more robust studies of adaptive variation and fitness, aiding in the management of threatened species. The integration of genomics into wildlife conservation has the potential to revolutionize the field by providing more detailed and accurate data for managing and preserving biodiversity. However, challenges such as computational constraints and the need for bioinformatic support must be addressed to fully realize the benefits of these advanced techniques. Continued collaboration between scientists, conservation managers, and policymakers is essential to bridge the gap between research and practical applications. This study aims to explore advanced techniques in wildlife conservation, focusing on the integration of genomics and field applications and evaluate how genomic tools can enhance traditional conservation methods and provide new insights into the management and preservation of wildlife species.

Conservation genomics; Wildlife management; Next-generation sequencing; Adaptive variation; Assisted migration