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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
Fecha : |
20/05/2022 |
Actualizado : |
30/11/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
BERTON, M. P.; DA SILVA, ROSIANE PEREIRA; BANCHERO, G.; MOURÃO, G. B.; FERRAZ, J. B. S.; SCHENKEL, F. S.; BALDI, F. |
Afiliación : |
MARIANA PIATTO BERTON, Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil; ROSIANE PEREIRA DA SILVA, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, Brazil; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERSON BARRETO MOURÃO, Departamento de Zootecnia, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo/ESALQ, Piracicaba, Brazil; JOSE BENTO STERMAN FERRAZ, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, Brazil; FLAVIO SCHRAMM SCHENKEL, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada; FERNANDO BALDI, Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil. |
Título : |
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2022, Volume 139, Issue 5, pages 502-516. doi: https://doi.org/10.1111/jbg.12682 |
ISSN : |
0931-2668 |
DOI : |
10.1111/jbg.12682 |
Idioma : |
Inglés |
Notas : |
Article history: Received 14 June 2021; Accepted 21 April 2022; First published 09 May 2022; Publisched online September 2022. -- Corresponding author: Berton, M.P.; Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil; email:mapberton@gmail.com -- |
Contenido : |
ABSTRACT.- This study aimed to integrate GWAS and structural variants to propose possible molecular biomarkers related to gastrointestinal nematode resistance traits in Santa Inês sheep. The phenotypic records FAMACHA, haematocrit, white blood cell count, red blood cell count, haemoglobin, platelets and egg counts per gram of faeces were collected from 700 naturally infected animals, belonging to four Brazilian flocks. A total of 576 animals were genotyped using the Ovine SNP12k BeadChip and were imputed using a reference population with Ovine SNP50 BeadChip. The GWAS approaches were based on SNPs, haplotypes, CNVs and ROH. The overlapping between the significant genomic regions detected from all approaches was investigated, and the results were integrated using a network analysis. Genes related to the immune system were found, such as ABCB1, IL6, WNT5A and IRF5. Genomic regions containing candidate genes and metabolic pathways involved in immune responses, inflammatory processes and immune cells affecting parasite resistance traits were identified. The genomic regions, biological processes and candidate genes uncovered could lead to biomarkers for selecting more resilient sheep and improving herd welfare and productivity. The results obtained are the start point to identify molecular biomarkers related to indicator traits of gastrointestinal nematode resistance in Santa Inês sheep. © 2022 Wiley-VCH GmbH. |
Palabras claves : |
Copy number variant; GWAS; GWAS - Genome-wide association study; Haplotype; Integration analyses; Run of homozygosity; System biology. |
Thesagro : |
OVEJA. |
Asunto categoría : |
-- L10 Genética y mejoramiento animal |
Marc : |
LEADER 02796naa a2200325 a 4500 001 1063154 005 2022-11-30 008 2022 bl uuuu u00u1 u #d 022 $a0931-2668 024 7 $a10.1111/jbg.12682$2DOI 100 1 $aBERTON, M. P. 245 $aGenomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep.$h[electronic resource] 260 $c2022 500 $aArticle history: Received 14 June 2021; Accepted 21 April 2022; First published 09 May 2022; Publisched online September 2022. -- Corresponding author: Berton, M.P.; Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil; email:mapberton@gmail.com -- 520 $aABSTRACT.- This study aimed to integrate GWAS and structural variants to propose possible molecular biomarkers related to gastrointestinal nematode resistance traits in Santa Inês sheep. The phenotypic records FAMACHA, haematocrit, white blood cell count, red blood cell count, haemoglobin, platelets and egg counts per gram of faeces were collected from 700 naturally infected animals, belonging to four Brazilian flocks. A total of 576 animals were genotyped using the Ovine SNP12k BeadChip and were imputed using a reference population with Ovine SNP50 BeadChip. The GWAS approaches were based on SNPs, haplotypes, CNVs and ROH. The overlapping between the significant genomic regions detected from all approaches was investigated, and the results were integrated using a network analysis. Genes related to the immune system were found, such as ABCB1, IL6, WNT5A and IRF5. Genomic regions containing candidate genes and metabolic pathways involved in immune responses, inflammatory processes and immune cells affecting parasite resistance traits were identified. The genomic regions, biological processes and candidate genes uncovered could lead to biomarkers for selecting more resilient sheep and improving herd welfare and productivity. The results obtained are the start point to identify molecular biomarkers related to indicator traits of gastrointestinal nematode resistance in Santa Inês sheep. © 2022 Wiley-VCH GmbH. 650 $aOVEJA 653 $aCopy number variant 653 $aGWAS 653 $aGWAS - Genome-wide association study 653 $aHaplotype 653 $aIntegration analyses 653 $aRun of homozygosity 653 $aSystem biology 700 1 $aDA SILVA, ROSIANE PEREIRA 700 1 $aBANCHERO, G. 700 1 $aMOURÃO, G. B. 700 1 $aFERRAZ, J. B. S. 700 1 $aSCHENKEL, F. S. 700 1 $aBALDI, F. 773 $tJournal of Animal Breeding and Genetics, 2022, Volume 139, Issue 5, pages 502-516. doi: https://doi.org/10.1111/jbg.12682
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/02/2014 |
Actualizado : |
25/01/2016 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
GALVÁN, G.; BARRETTO, M.; DEL CAMPO, F.; ARIAS, M.; CURBELO, N. |
Afiliación : |
GUILLERMO GALVÁN, Facultad de Agronomía (UdelaR); MARCELA BARRETTO, Facultad de Agronomía (UdelaR); FRANCISCO DEL CAMPO, Facultad de Agronomía (UDELAR); MARIANA ARIAS, Facultad de Agronomía (UdelaR); NATALIA CURBELO, Facultad de Agronomía (UdelaR). |
Título : |
Evaluación de variedades locales de chícharo (2do año). Visita a campo |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
ln: DIA DE CAMPO PLAN DE NEGOCIOS DE CHÍCHARO. INIA LAS BRUJAS, 30 DE NOV. DE 2012. PROGRAMA NACIONAL DE INVESTIGACIÓN HORTÍCOLA; FAGRO, DIGEGRA; SFR SANTA ROSA |
Páginas : |
p.15-20 |
Serie : |
(INIA Serie Actividades de Difusión; 701) |
ISSN : |
1688-9258 |
Idioma : |
Español |
Notas : |
"INIA Las Brujas, Programa Nacional de Investigación en Producción Hortícola); Facultad de Agronomía (UdelaR); DIGEGRA-MGAP; SFR Santa Rosa" |
Thesagro : |
CHICHARO; VARIEDADES. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/2429/1/18429191112105720.pdf
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Marc : |
LEADER 00876naa a2200229 a 4500 001 1012514 005 2016-01-25 008 2012 bl uuuu u00u1 u #d 022 $a1688-9258 100 1 $aGALVÁN, G. 245 $aEvaluación de variedades locales de chícharo (2do año). Visita a campo 260 $c2012 300 $ap.15-20 490 $a(INIA Serie Actividades de Difusión; 701) 500 $a"INIA Las Brujas, Programa Nacional de Investigación en Producción Hortícola); Facultad de Agronomía (UdelaR); DIGEGRA-MGAP; SFR Santa Rosa" 650 $aCHICHARO 650 $aVARIEDADES 700 1 $aBARRETTO, M. 700 1 $aDEL CAMPO, F. 700 1 $aARIAS, M. 700 1 $aCURBELO, N. 773 $tln: DIA DE CAMPO PLAN DE NEGOCIOS DE CHÍCHARO. INIA LAS BRUJAS, 30 DE NOV. DE 2012. PROGRAMA NACIONAL DE INVESTIGACIÓN HORTÍCOLA; FAGRO, DIGEGRA; SFR SANTA ROSA
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