ReviewThe Journal of reproduction and development2026
Biobanking biodiversity: recent strategies, challenges, and opportunities.
Review in The Journal of reproduction and development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Earth is undergoing accelerated loss of biodiversity. As wild animal populations decline, the resulting erosion of genetic diversity threatens species' adaptive potential and long-term survival. Wildlife biobanking, defined as the systematic collection, preservation, and use of biological materials and their associated metadata, has emerged as a critical conservation strategy. Importantly, building on decades of progress in cryobiology and reproductive biotechnologies, gonadal and somatic tissues and cells from thousands of wild species have been preserved worldwide. These biobanks serve as genetic insurance policies, supporting animal care and management, research, assisted reproduction, and eventual population recovery. This review discusses current strategies, challenges, and future opportunities in wildlife biobanking. Cryopreservation approaches for different sample types and taxa also are reviewed, emphasizing the challenges of sample availability and species-specific cryotolerance. The objective is also to integrate increasingly large amount of data associated with biological samples (digital biobanking) into conservation efforts. New frontiers in biobanking include innovative ambient-temperature preservation, precision biobanking informed by omics technologies, data interpretation using artificial intelligence, and establishment of global networks. These promising developments provide more opportunities to enhance and expand wildlife biobanking more quickly and broadly.
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