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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
04/03/2011 |
Data da última atualização: |
04/04/2019 |
Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
Autoria: |
SIDER, L. H.; BRITO, R. L. L. de; VERAS, A. K. A.; RODRIGUES, A. S.; SOUZA, K. C. de; OLIVEIRA, E. L. de; ANDRIOLI, A.; PINHEIRO, R. R. |
Afiliação: |
LUCIA HELENA SIDER, CNPC; Roberta Lomonte Lemos de Brito; Ana Kamila Andrade Veras; Apoliana S Rodrigues; Kelma Costa de Souza; EDUARDO LUIZ DE OLIVEIRA, CNPC; ALICE ANDRIOLI, CNPC; RAYMUNDO RIZALDO PINHEIRO, CNPC. |
Título: |
Processamento de liquido cefalo-raquidiano para extração de RNA genômico do vírus da artrite-encefalite caprina e diagnóstico molecular por RT-nested PCR. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Sobral: Embrapa Caprinos e Ovinos, 2010. |
Páginas: |
6 p. |
Série: |
(Embrapa Caprinos e Ovinos. Comunicado Técnico, 114). |
Idioma: |
Português |
Notas: |
Metodologia Científica. |
Conteúdo: |
Este comunicado descreve os procedimentos de coleta, processamento do líquido céfalo-raquidiano, para a extração de RNA genômico viral, e de detecção do vírus através da técnica de RT-nested PCR, potencial método de diagnóstico molecular da CAE. |
Palavras-Chave: |
Artrite-encefalite caprina; CAE; Diagnóstico molecular; Genetic techniques; PCR. |
Thesagro: |
Caprino; Doença animal. |
Thesaurus Nal: |
Goats. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/31691/1/UMT-Cot-114.pdf
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Marc: |
LEADER 01275nam a2200325 a 4500 001 1880093 005 2019-04-04 008 2010 bl uuuu u0uu1 u #d 100 1 $aSIDER, L. H. 245 $aProcessamento de liquido cefalo-raquidiano para extração de RNA genômico do vírus da artrite-encefalite caprina e diagnóstico molecular por RT-nested PCR.$h[electronic resource] 260 $aSobral: Embrapa Caprinos e Ovinos$c2010 300 $a6 p. 490 $a(Embrapa Caprinos e Ovinos. Comunicado Técnico, 114). 500 $aMetodologia Científica. 520 $aEste comunicado descreve os procedimentos de coleta, processamento do líquido céfalo-raquidiano, para a extração de RNA genômico viral, e de detecção do vírus através da técnica de RT-nested PCR, potencial método de diagnóstico molecular da CAE. 650 $aGoats 650 $aCaprino 650 $aDoença animal 653 $aArtrite-encefalite caprina 653 $aCAE 653 $aDiagnóstico molecular 653 $aGenetic techniques 653 $aPCR 700 1 $aBRITO, R. L. L. de 700 1 $aVERAS, A. K. A. 700 1 $aRODRIGUES, A. S. 700 1 $aSOUZA, K. C. de 700 1 $aOLIVEIRA, E. L. de 700 1 $aANDRIOLI, A. 700 1 $aPINHEIRO, R. R.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
16/11/2022 |
Data da última atualização: |
16/11/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
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. |
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. |
Título: |
Adaptive potential of Coffea canephora from Uganda in response to climate change. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Molecular ecology, v. 31, n. 6, p. 180-1819, Jan. 2022. |
DOI: |
https://doi.org/10.1111/mec.16360 |
Idioma: |
Inglês |
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 |
Thesaurus NAL: |
Climate change; Coffea canephora var. ugandae; Genomics; Landscapes; Plant breeding. |
Categoria do assunto: |
-- |
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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