Range-wide differential adaptation and genomic offset in critically endangered Asian rosewoods

Author:

Hung Tin Hang1ORCID,So Thea2,Thammavong Bansa3,Chamchumroon Voradol4ORCID,Theilade Ida5ORCID,Phourin Chhang2,Bouamanivong Somsanith6,Hartvig Ida78,Gaisberger Hannes910ORCID,Jalonen Riina11ORCID,Boshier David H.1,MacKay John J.1

Affiliation:

1. Department of Biology, University of Oxford, Oxford OX1 3RB, United Kingdom

2. Institute of Forest and Wildlife Research and Development, Phnom Penh, Cambodia

3. National Agriculture and Forestry Research Institute, Forestry Research Center, Vientiane, Laos

4. The Forest Herbarium, Department of National Park, Wildlife and Plant Conservation, Ministry of Natural Resources and Environment, Bangkok 10900, Thailand

5. Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark

6. National Herbarium of Laos, Biotechnology and Ecology Institute, Ministry of Science and Technology, Vientiane, Laos

7. Forest Genetics and Diversity, Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark

8. Center for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen K, Denmark

9. Bioversity International, I-00057 Rome, Italy

10. Department of Geoinformatics, Paris Lodron University, 5020 Salzburg, Austria

11. Bioversity International, 43400 UPM Serdang, Malaysia

Abstract

In the billion-dollar global illegal wildlife trade, rosewoods have been the world’s most trafficked wild product since 2005. Dalbergia cochinchinensis and Dalbergia oliveri are the most sought-after rosewoods in the Greater Mekong Subregion. They are exposed to significant genetic risks and the lack of knowledge on their adaptability limits the effectiveness of conservation efforts. Here, we present genome assemblies and range-wide genomic scans of adaptive variation, together with predictions of genomic offset to climate change. Adaptive genomic variation was differentially associated with temperature and precipitation-related variables between the species, although their natural ranges overlap. The findings are consistent with differences in pioneering ability and in drought tolerance. We predict their genomic offsets will increase over time and with increasing carbon emission pathway but at a faster pace in D. cochinchinensis than in D. oliveri . These results and the distinct gene–environment association in the eastern coastal edge of Vietnam suggest species-specific conservation actions: germplasm representation across the range in D. cochinchinensis and focused on hotspots of genomic offset in D. oliveri . We translated our genomic models into a seed source matching application, seedeR , to rapidly inform restoration efforts. Our ecological genomic research uncovering contrasting selection forces acting in sympatric rosewoods is of relevance to conserving tropical trees globally and combating risks from climate change.

Funder

Biotechnology and Biological Sciences Research Council

Google Cloud Academic Grant

UK Darwin Initiative

CGIAR Fund Donors

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference100 articles.

1. UNODC World Wildlife Crime Report: Trafficking in Protected Species (United Nations Office on Drugs and Crime 2020).

2. United Nations Environment Programme The Rise of Environmental Crime: A Growing Threat to Natural Resources Peace Development and Security (United Nations Environment Programme 2016).

3. UNODC, World Wildlife Crime Report: Trafficking in Protected Species (United Nations Publication, 2016).

4. Tropical and subtropical Asia's valued tree species under threat

5. K. Winfield, M. Scott, C. Graysn, “Global status of Dalbergia and Pterocarpus rosewood producing species in trade” in Convention on International Trade in Endangered Species 17th Conference of Parties (Convention on International Trade in Endangered Species, Johannesburg, 2016).

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