Adaptive potential of Coffea canephora from Uganda in response to climate change

Oliveira de Aquino Sinara, Kiwuka Catherine, Tournebize Rémi, Gain Clément, Marraccini Pierre, Mariac Cédric, Bethume Kévin, Couderc Marie, Cubry Philippe, Andrade Alan Carvalho, Lepelley Maud, Darracq Olivier, Crouzillat Dominique, Anten Niels P.R., Musoli Pascal, Vigouroux Yves, De Kochko Alexandre, Manel Stéphanie, François Olivier, Poncet Valérie. 2022. Adaptive potential of Coffea canephora from Uganda in response to climate change. Molecular Ecology, 31 (6) : 1800-1819.

https://doi.org/10.1111/mec.16360

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - jeu de données - Entrepôt autre : https://doi.org/10.5061/dryad.6t1g1jx0m

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Résumé : Understanding vulnerabilities of plant populations to climate change could help preserve their biodiversity and reveal new elite parents for future breeding programmes. To this end, landscape genomics is a useful approach for assessing putative adaptations to future climatic conditions, especially in long-lived species such as trees. We conducted a population genomics study of 207 Coffea canephora trees from seven forests along different climate gradients in Uganda. For this, we sequenced 323 candidate genes involved in key metabolic and defence pathways in coffee. Seventy-one single nucleotide polymorphisms (SNPs) were found to be significantly associated with bioclimatic variables, and were thereby considered as putatively adaptive loci. These SNPs were linked to key candidate genes, including transcription factors, like DREB-like and MYB family genes controlling plant responses to abiotic stresses, as well as other genes of organoleptic interest, such as the DXMT gene involved in caffeine biosynthesis and a putative pest repellent. These climate-associated genetic markers were used to compute genetic offsets, predicting population responses to future climatic conditions based on local climate change forecasts. Using these measures of maladaptation to future conditions, substantial levels of genetic differentiation between present and future diversity were estimated for all populations and scenarios considered. The populations from the forests Zoka and Budongo, in the northernmost zone of Uganda, appeared to have the lowest genetic offsets under all predicted climate change patterns, while populations from Kalangala and Mabira, in the Lake Victoria region, exhibited the highest genetic offsets. The potential of these findings in terms of ex situ conservation strategies are discussed.

Mots-clés Agrovoc : adaptation aux changements climatiques, changement climatique, Coffea canephora, adaptation physiologique, génomique, phytogénétique, réponse de la plante

Mots-clés géographiques Agrovoc : Ouganda

Mots-clés libres : Coffea canephora, Climate Change, Uganda, Candidate genes

Classification Agris : P40 - Météorologie et climatologie
F30 - Génétique et amélioration des plantes
F60 - Physiologie et biochimie végétale

Champ stratégique Cirad : CTS 6 (2019-) - Changement climatique

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