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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
23/11/2022 |
Data da última atualização: |
28/11/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FERREIRA-NETO, R, C.; ARAÚJO, F. C. de; SILVA, R. L. de O.; MELO, N. F. de; PANDOLF, V.; FROSI, G.; MORAIS, D. A. de L.; SILVA, M. D. da; RIVAS, R.; SANTOS, M. G.; AIDAR, S. de T.; MORGANTE, C. V.; BENKO-ISEPPON, A. M. |
Afiliação: |
RIBAMAR COSTA FERREIRA-NETO, UFPE; FLÁVIA CZEKALSKI DE ARAÚJO, UFPE; ROBERTA LANE DE OLIVEIRA SILVA, UFPE; NATONIEL FRANKLIN DE MELO, CPATSA; VALESCA PANDOLF, UFPE; GABRIELLA FROSI, Université de Sherbrooke,Sherbrooke, Québec, Canada; DAVID ANDERSON DE LIMA MORAIS, Université deSherbrooke, Sherbrooke, Québec, Canada; MANASSÉS DANIEL DA SILVA, UFPE; REBECA RIVAS, UFPE; MAURO GUIDA SANTOS, UFPE; SAULO DE TARSO AIDAR, CPATSA; CAROLINA VIANNA MORGANTE, CPATSA; ANA MARIA BENKO-ISEPPON, UFPE. |
Título: |
Dehydration response in Stylosanthesscabra: transcriptional, biochemical, and physiological modulations. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Physiologia Plantarum, 174, e13821. 2022. |
ISSN: |
0031-9317 eISSN 1399-3054 |
DOI: |
https://doi.org/10.1111/ppl.13821 |
Idioma: |
Português |
Conteúdo: |
tylosanthes scabra, popularly known as stylo, is native to the Brazilian Caatinga semi-arid region and stands out as a drought-tolerant shrub forage crop. This work pro-vides information about the plant response during the first 48 h of water deficit,followed by a rehydration treatment. Besides root transcriptomics data, 13 physiolog-ical or biochemical parameters were scrutinized. Additionally, RNA-Seq annotatedtranscripts not associated with the?Viridiplantae?clade were taxonomically catego-rized. It was found thatS. scabraquickly perceives and recovers from the oscillationsof the imposed water regime. Physiologically, mechanisms that minimize evapotrans-piration or protect the photosynthetic apparatus stood out. Biochemically, it wasfound that the root tissue invests in synthesizing compounds that can act as osmo-lytes (proline and sugars), emphasizing the importance of osmoregulation to waterdeficit acclimation. Consistently, transcriptome and qPCR analyses showed that a setof enriched biological processes with upregulated (UR) transcripts were involved inprotective functions against reactive oxygen species or encoding enzymes of impor-tant metabolic pathways, which might contribute toS. scabraresponse to water defi-cit. Additionally, several UR kinases and transcription factors were identified. Finally,in an innovative approach, some naturally occurring microbial groups (such asSchizo-saccharomyces,Bradyrhizobium, etc.) were identified in theS. scabraroots. This studyreveals insights into the physiological, biochemical, and molecular mechanisms under-lying theS. scabraresponse to water deficit and provides candidate genes that maybe useful in developing drought-tolerant crop varieties through biotechnologicalapplications Menostylosanthes scabra, popularly known as stylo, is native to the Brazilian Caatinga semi-arid region and stands out as a drought-tolerant shrub forage crop. This work pro-vides information about the plant response during the first 48 h of water deficit,followed by a rehydration treatment. Besides root transcriptomics data, 13 physiolog-ical or biochemical parameters were scrutinized. Additionally, RNA-Seq annotatedtranscripts not associated with the?Viridiplantae?clade were taxonomically catego-rized. It was found thatS. scabraquickly perceives and recovers from the oscillationsof the imposed water regime. Physiologically, mechanisms that minimize evapotrans-piration or protect the photosynthetic apparatus stood out. Biochemically, it wasfound that the root tissue invests in synthesizing compounds that can act as osmo-lytes (proline and sugars), emphasizing the importance of osmoregulation to waterdeficit acclimation. Consistently, transcriptome and qPCR analyses showed that a setof enriched biological processes with upregulated (UR) transcripts were involved inprotective functions against reactive oxygen species or encoding enzymes of impor-tant metabolic pathways, which might contribute toS. scabraresponse to water defi-cit. Additionally, several UR kinases and transcription factors were identified. Finally,in an innovative approach, some naturally occurring microbial groups (such asSchizo-saccharomyces,Bradyrhizobium, etc.) were identified in theS. scabraroots. This studyre... Mostrar Tudo |
Palavras-Chave: |
Deficit hídrico; Forrageira nativa; Planta resistente a seca. |
Thesagro: |
Caatinga; Deficiência Hídrica; Desidratação Química; Fisiologia Vegetal; Hidratação; Resistência a Seca; Vegetação Nativa. |
Thesaurus Nal: |
Alternative crops; Drought tolerance; Stylosanthes. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1148636/1/Physiologia-Plantarun.Dehydration-response-in-Stylosanthes.2022.pdf
|
Marc: |
LEADER 03073naa a2200445 a 4500 001 2148636 005 2022-11-28 008 2022 bl uuuu u00u1 u #d 022 $a0031-9317 eISSN 1399-3054 024 7 $ahttps://doi.org/10.1111/ppl.13821$2DOI 100 1 $aFERREIRA-NETO, R, C. 245 $aDehydration response in Stylosanthesscabra$btranscriptional, biochemical, and physiological modulations.$h[electronic resource] 260 $c2022 520 $atylosanthes scabra, popularly known as stylo, is native to the Brazilian Caatinga semi-arid region and stands out as a drought-tolerant shrub forage crop. This work pro-vides information about the plant response during the first 48 h of water deficit,followed by a rehydration treatment. Besides root transcriptomics data, 13 physiolog-ical or biochemical parameters were scrutinized. Additionally, RNA-Seq annotatedtranscripts not associated with the?Viridiplantae?clade were taxonomically catego-rized. It was found thatS. scabraquickly perceives and recovers from the oscillationsof the imposed water regime. Physiologically, mechanisms that minimize evapotrans-piration or protect the photosynthetic apparatus stood out. Biochemically, it wasfound that the root tissue invests in synthesizing compounds that can act as osmo-lytes (proline and sugars), emphasizing the importance of osmoregulation to waterdeficit acclimation. Consistently, transcriptome and qPCR analyses showed that a setof enriched biological processes with upregulated (UR) transcripts were involved inprotective functions against reactive oxygen species or encoding enzymes of impor-tant metabolic pathways, which might contribute toS. scabraresponse to water defi-cit. Additionally, several UR kinases and transcription factors were identified. Finally,in an innovative approach, some naturally occurring microbial groups (such asSchizo-saccharomyces,Bradyrhizobium, etc.) were identified in theS. scabraroots. This studyreveals insights into the physiological, biochemical, and molecular mechanisms under-lying theS. scabraresponse to water deficit and provides candidate genes that maybe useful in developing drought-tolerant crop varieties through biotechnologicalapplications 650 $aAlternative crops 650 $aDrought tolerance 650 $aStylosanthes 650 $aCaatinga 650 $aDeficiência Hídrica 650 $aDesidratação Química 650 $aFisiologia Vegetal 650 $aHidratação 650 $aResistência a Seca 650 $aVegetação Nativa 653 $aDeficit hídrico 653 $aForrageira nativa 653 $aPlanta resistente a seca 700 1 $aARAÚJO, F. C. de 700 1 $aSILVA, R. L. de O. 700 1 $aMELO, N. F. de 700 1 $aPANDOLF, V. 700 1 $aFROSI, G. 700 1 $aMORAIS, D. A. de L. 700 1 $aSILVA, M. D. da 700 1 $aRIVAS, R. 700 1 $aSANTOS, M. G. 700 1 $aAIDAR, S. de T. 700 1 $aMORGANTE, C. V. 700 1 $aBENKO-ISEPPON, A. M. 773 $tPhysiologia Plantarum, 174, e13821. 2022.
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Embrapa Semiárido (CPATSA) |
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Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
13/07/2018 |
Data da última atualização: |
13/07/2018 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MOREIRA, G. C. M.; GODOY, T. F.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; LEDUR, M. C.; GARRICK, D.; SILVA, V. H. da; CROOIJAMANS, R. P.; GROENEN, M. A. M.; COUTINHO, L. L. |
Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, ESALQ; THAÍS FERNANDA GODOY, ESALQ; CLARISSA BOSCHIERO, ESALQ; ALINE SILVA MELLO CESAR, ESALQ; JAMES M. REECY, Iowa State University; MONICA CORREA LEDUR, CNPSA; DORIAN GARRICK, Massey University/New Zealand; VINICIUS H. da SILVA, Wageningen University/Swedish University of Agricultural Sciences; RICHAR P. CROOIJAMANS, Wageningen University; MARTIEN A. M. GROENEN, Wageningen University; LUIZ LEHMMAN COUTINHO, ESALQ. |
Título: |
Integration of GWAS, CNV and sele ction signature reveals candidate genes for abdominal fat regulation in chickens. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Carcass fat content is an economically important trait in commercial chickens. The use of genome-wide high density SNPs may improve the power and resolution to identify QTLs, putative candidate genes and copy number variations (CNVs), for selection programs. The main goal of this study was to identify genomic windows and putative candidate genes for carcass fat content. We checked the overlap of QTL with regions demonstrating signatures of selection and inherited CNVs identified in the same population. A total of 497 42 day-old chickens from the EMBRAPA F2 Chicken Resource Population developed for QTL studies were genotyped with the 600K SNP genotyping array (Affymetrix®), and phenotyped for carcass fat content weight (CFCW) and carcass fat content on a dry matter basis (CFCDM). After quality control, a total of 480 samples and 371,557 SNPs annotated in autosomal chromosomes (GGA1-28) based on Gallus_gallus-5.0 (NCBI) were kept for further analysis. GWAS analyses were performed with GenSel software using BayesB method (π=0.9988) to identify genomic windows associated with CFCW or CFC%. We identified 15 genomic windows associated with CFC% on GGA1, 7, 15, 20 and 28, and from those, we identified two adjacent windows on GGA7 considered as the same QTL explaining 1.31 and 2.18% of the genetic variance for CFCW and CFC%, respectively. This QTL overlapped with one regions previsiouly know to regulate abdominal fat in chickens and the QTL region encompassed two putative candidate genes overlapping with signatures of selection and inherited CNVs. Our findings are helpful to better understand the genetic regulation of fatness in chickens. Resumo: O teor de gordura na carcaça é uma característica economicamente importante em frangos comerciais. O uso de SNPs de alta densidade em todo o genoma pode melhorar o poder e a resolução para identificar QTLs, genes candidatos putativos e variações no número de cópias (CNVs), para programas de seleção. O principal objetivo deste estudo foi identificar janelas genômicas e possíveis genes candidatos para o conteúdo de gordura na carcaça. Verificamos a sobreposição de QTL com regiões demonstrando assinaturas de seleção e CNVs herdadas identificadas na mesma população. Um total de 497 galinhas com 42 dias de idade da EMBRAPA F2 Chicken Resource Population desenvolvidas para estudos QTL foram genotipadas com o arranjo de genótipos SNP 600K (Affymetrix®) e fenotipadas para peso de gordura na carcaça (CFCW) e teor de gordura na carcaça seca. matéria básica (CFCDM). Após o controle de qualidade, um total de 480 amostras e 371.557 SNPs anotados em cromossomos autossômicos (GGA1-28) baseados em Gallus_gallus-5.0 (NCBI) foram mantidos para análise posterior. As análises de GWAS foram realizadas com o software GenSel usando o método de BayesB (π = 0,9988) para identificar janelas genômicas associadas ao CFCW ou CFC%. Foram identificadas 15 janelas genômicas associadas a% CFC em GGA1, 7, 15, 20 e 28 e, a partir delas, identificamos duas janelas adjacentes em GGA7 consideradas como os mesmos QTLs explicando 1,31 e 2,18% da variância genética para CFCW e CFC% , respectivamente. Este QTL se sobrepunha a uma das regiões previsamente conhecidas para regular a gordura abdominal em frangos e a região QTL englobava dois supostos genes candidatos que se sobrepunham com assinaturas de seleção e CNVs herdadas. Nossas descobertas são úteis para entender melhor a regulação genética da gordura em frangos. MenosAbstract: Carcass fat content is an economically important trait in commercial chickens. The use of genome-wide high density SNPs may improve the power and resolution to identify QTLs, putative candidate genes and copy number variations (CNVs), for selection programs. The main goal of this study was to identify genomic windows and putative candidate genes for carcass fat content. We checked the overlap of QTL with regions demonstrating signatures of selection and inherited CNVs identified in the same population. A total of 497 42 day-old chickens from the EMBRAPA F2 Chicken Resource Population developed for QTL studies were genotyped with the 600K SNP genotyping array (Affymetrix®), and phenotyped for carcass fat content weight (CFCW) and carcass fat content on a dry matter basis (CFCDM). After quality control, a total of 480 samples and 371,557 SNPs annotated in autosomal chromosomes (GGA1-28) based on Gallus_gallus-5.0 (NCBI) were kept for further analysis. GWAS analyses were performed with GenSel software using BayesB method (π=0.9988) to identify genomic windows associated with CFCW or CFC%. We identified 15 genomic windows associated with CFC% on GGA1, 7, 15, 20 and 28, and from those, we identified two adjacent windows on GGA7 considered as the same QTL explaining 1.31 and 2.18% of the genetic variance for CFCW and CFC%, respectively. This QTL overlapped with one regions previsiouly know to regulate abdominal fat in chickens and the QTL region encompassed two puta... Mostrar Tudo |
Palavras-Chave: |
600k snp genotyping array; Analyses were performed with GenSel; Genotyping by sequencing; Selection signatures. |
Thesagro: |
Carcaça; Frango de Corte; Genoma; Gordura; Melhoramento Genético Animal; Polimorfismo Genético. |
Thesaurus NAL: |
Abdominal fat; Animal genetic resources; Broiler chickens; Carcass characteristics; Genetic polymorphism; Single nucleotide polymorphism. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/179774/1/final8887.pdf
|
Marc: |
LEADER 04944nam a2200421 a 4500 001 2093261 005 2018-07-13 008 2018 bl uuuu u00u1 u #d 100 1 $aMOREIRA, G. C. M. 245 $aIntegration of GWAS, CNV and sele ction signature reveals candidate genes for abdominal fat regulation in chickens.$h[electronic resource] 260 $aIn: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.$c2018 520 $aAbstract: Carcass fat content is an economically important trait in commercial chickens. The use of genome-wide high density SNPs may improve the power and resolution to identify QTLs, putative candidate genes and copy number variations (CNVs), for selection programs. The main goal of this study was to identify genomic windows and putative candidate genes for carcass fat content. We checked the overlap of QTL with regions demonstrating signatures of selection and inherited CNVs identified in the same population. A total of 497 42 day-old chickens from the EMBRAPA F2 Chicken Resource Population developed for QTL studies were genotyped with the 600K SNP genotyping array (Affymetrix®), and phenotyped for carcass fat content weight (CFCW) and carcass fat content on a dry matter basis (CFCDM). After quality control, a total of 480 samples and 371,557 SNPs annotated in autosomal chromosomes (GGA1-28) based on Gallus_gallus-5.0 (NCBI) were kept for further analysis. GWAS analyses were performed with GenSel software using BayesB method (π=0.9988) to identify genomic windows associated with CFCW or CFC%. We identified 15 genomic windows associated with CFC% on GGA1, 7, 15, 20 and 28, and from those, we identified two adjacent windows on GGA7 considered as the same QTL explaining 1.31 and 2.18% of the genetic variance for CFCW and CFC%, respectively. This QTL overlapped with one regions previsiouly know to regulate abdominal fat in chickens and the QTL region encompassed two putative candidate genes overlapping with signatures of selection and inherited CNVs. Our findings are helpful to better understand the genetic regulation of fatness in chickens. Resumo: O teor de gordura na carcaça é uma característica economicamente importante em frangos comerciais. O uso de SNPs de alta densidade em todo o genoma pode melhorar o poder e a resolução para identificar QTLs, genes candidatos putativos e variações no número de cópias (CNVs), para programas de seleção. O principal objetivo deste estudo foi identificar janelas genômicas e possíveis genes candidatos para o conteúdo de gordura na carcaça. Verificamos a sobreposição de QTL com regiões demonstrando assinaturas de seleção e CNVs herdadas identificadas na mesma população. Um total de 497 galinhas com 42 dias de idade da EMBRAPA F2 Chicken Resource Population desenvolvidas para estudos QTL foram genotipadas com o arranjo de genótipos SNP 600K (Affymetrix®) e fenotipadas para peso de gordura na carcaça (CFCW) e teor de gordura na carcaça seca. matéria básica (CFCDM). Após o controle de qualidade, um total de 480 amostras e 371.557 SNPs anotados em cromossomos autossômicos (GGA1-28) baseados em Gallus_gallus-5.0 (NCBI) foram mantidos para análise posterior. As análises de GWAS foram realizadas com o software GenSel usando o método de BayesB (π = 0,9988) para identificar janelas genômicas associadas ao CFCW ou CFC%. Foram identificadas 15 janelas genômicas associadas a% CFC em GGA1, 7, 15, 20 e 28 e, a partir delas, identificamos duas janelas adjacentes em GGA7 consideradas como os mesmos QTLs explicando 1,31 e 2,18% da variância genética para CFCW e CFC% , respectivamente. Este QTL se sobrepunha a uma das regiões previsamente conhecidas para regular a gordura abdominal em frangos e a região QTL englobava dois supostos genes candidatos que se sobrepunham com assinaturas de seleção e CNVs herdadas. Nossas descobertas são úteis para entender melhor a regulação genética da gordura em frangos. 650 $aAbdominal fat 650 $aAnimal genetic resources 650 $aBroiler chickens 650 $aCarcass characteristics 650 $aGenetic polymorphism 650 $aSingle nucleotide polymorphism 650 $aCarcaça 650 $aFrango de Corte 650 $aGenoma 650 $aGordura 650 $aMelhoramento Genético Animal 650 $aPolimorfismo Genético 653 $a600k snp genotyping array 653 $aAnalyses were performed with GenSel 653 $aGenotyping by sequencing 653 $aSelection signatures 700 1 $aGODOY, T. F. 700 1 $aBOSCHIERO, C. 700 1 $aCESAR, A. S. M. 700 1 $aREECY, J. M. 700 1 $aLEDUR, M. C. 700 1 $aGARRICK, D. 700 1 $aSILVA, V. H. da 700 1 $aCROOIJAMANS, R. P. 700 1 $aGROENEN, M. A. M. 700 1 $aCOUTINHO, L. L.
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