@article{fdi:010084247,
  title = {{A}daptive potential of {C}offea canephora from {U}ganda in response to climate change},
  author = {de {A}quino, {S}. {O}. and {K}iwuka, {C}. and {T}ournebize, {R}. and {G}ain, {C}. and {M}arraccini, {P}. and {M}ariac, {C}{\'e}dric and {B}ethune, {K}. and {C}ouderc, {M}arie and {C}ubry, {P}hilippe and {A}ndrade, {A}. {C}. and {L}epelley, {M}. and {D}arracq, {O}. and {C}rouzillat, {D}. and {A}nten, {N}. and {M}usoli, {P}. and {V}igouroux, {Y}ves and {K}ochko, {A}lexandre de and {M}anel, {S}. and {F}rancois, {O}. and {P}oncet, {V}al{\'e}rie},
  editor = {},
  language = {{ENG}},
  abstract = {{U}nderstanding vulnerabilities of plant populations to climate change could help preserve their biodiversity and reveal new elite parents for future breeding programmes. {T}o this end, landscape genomics is a useful approach for assessing putative adaptations to future climatic conditions, especially in long-lived species such as trees. {W}e conducted a population genomics study of 207 {C}offea canephora trees from seven forests along different climate gradients in {U}ganda. {F}or this, we sequenced 323 candidate genes involved in key metabolic and defence pathways in coffee. {S}eventy-one single nucleotide polymorphisms ({SNP}s) were found to be significantly associated with bioclimatic variables, and were thereby considered as putatively adaptive loci. {T}hese {SNP}s 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. {T}hese climate-associated genetic markers were used to compute genetic offsets, predicting population responses to future climatic conditions based on local climate change forecasts. {U}sing 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. {T}he populations from the forests {Z}oka and {B}udongo, in the northernmost zone of {U}ganda, appeared to have the lowest genetic offsets under all predicted climate change patterns, while populations from {K}alangala and {M}abira, in the {L}ake {V}ictoria region, exhibited the highest genetic offsets. {T}he potential of these findings in terms of ex situ conservation strategies are discussed.},
  keywords = {candidate genes ; climate change ; environmental association ; landscape ; genomics ; target capture ; wild coffee ; {OUGANDA}},
  booktitle = {},
  journal = {{M}olecular {E}cology},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[20 ]},
  ISSN = {0962-1083},
  year = {2022},
  DOI = {10.1111/mec.16360},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084247},
}