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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
16/11/2022 |
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Data da última atualização: |
16/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
AQUINO, S. O. de; KIWUKA, C.; TOURNEBIZE, R.; GAIN, C.; MARRACCINI, P.; MARIAC, C.; BETHUNE, K.; COUDERC, M.; CUBRY, P.; ANDRADE, A. C.; LEPELLEY, M.; DARRACQ, O.; CROUZILLAT, D.; ANTEN, N.; MUSOLI, P.; VIGOUROUX, Y.; KOCHKO, A. de; MANEL, S.; FRANÇOIS, O.; PONCET, V. |
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Afiliação: |
SINARA OLIVEIRA DE AQUINO, UNIVERSITY OF MONTPELLIER; CATHERINE KIWUKA, WAGENINGEN UNIVERSITY; RÉMI TOURNEBIZE, UNIVERSITY OF MONTPELLIER; CLÉMENT GAIN, U. GRENOBLE-ALPES; PIERRE MARRACCINI, UNIVERSITY OF MONTPELLIER; CÉDRIC MARIAC, UNIVERSITY OF MONTPELLIER; KÉVIN BETHUNE, UNIVERSITY OF MONTPELLIER; MARIE COUDERC, UNIVERSITY OF MONTPELLIER; PHILIPPE CUBRY, UNIVERSITY OF MONTPELLIER; ALAN CARVALHO ANDRADE, CNPCa; MAUD LEPELLEY, NESTLE; OLIVIER DARRACQ, NESTLE; DOMINIQUE CROUZILLAT, NESTLE; NIELS ANTEN, WAGENINGEN UNIVERSITY; PASCAL MUSOLI, NARO; YVES VIGOUROUX, UNIVERSITY OF MONTPELLIER; ALEXANDRE DE KOCHKO, UNIVERSITY OF MONTPELLIER; STÉPHANIE MANEL, UNIVERSITY OF MONTPELLIER; OLIVIER FRANÇOIS, U. GRENOBLE-ALPES; VALÉRIE PONCET, UNIVERSITY OF MONTPELLIER. |
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Título: |
Adaptive potential of Coffea canephora from Uganda in response to climate change. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Molecular ecology, v. 31, n. 6, p. 180-1819, Jan. 2022. |
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DOI: |
https://doi.org/10.1111/mec.16360 |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosUnderstanding 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 nort... Mostrar Tudo |
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Thesaurus NAL: |
Climate change; Coffea canephora var. ugandae; Genomics; Landscapes; Plant breeding. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1148279/1/Molecular-Ecology-2022-Aquino-Adaptive-potential-of-Coffea-canephora-from-Uganda-in-response-to-climate-change.pdf
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Marc: |
LEADER 02955naa a2200421 a 4500
001 2148279
005 2022-11-16
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/mec.16360$2DOI
100 1 $aAQUINO, S. O. de
245 $aAdaptive potential of Coffea canephora from Uganda in response to climate change.$h[electronic resource]
260 $c2022
520 $aUnderstanding 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.
650 $aClimate change
650 $aCoffea canephora var. ugandae
650 $aGenomics
650 $aLandscapes
650 $aPlant breeding
700 1 $aKIWUKA, C.
700 1 $aTOURNEBIZE, R.
700 1 $aGAIN, C.
700 1 $aMARRACCINI, P.
700 1 $aMARIAC, C.
700 1 $aBETHUNE, K.
700 1 $aCOUDERC, M.
700 1 $aCUBRY, P.
700 1 $aANDRADE, A. C.
700 1 $aLEPELLEY, M.
700 1 $aDARRACQ, O.
700 1 $aCROUZILLAT, D.
700 1 $aANTEN, N.
700 1 $aMUSOLI, P.
700 1 $aVIGOUROUX, Y.
700 1 $aKOCHKO, A. de
700 1 $aMANEL, S.
700 1 $aFRANÇOIS, O.
700 1 $aPONCET, V.
773 $tMolecular ecology$gv. 31, n. 6, p. 180-1819, Jan. 2022.
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Embrapa Café (CNPCa) |
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