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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
Fecha : |
16/03/2020 |
Actualizado : |
21/04/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
MACHADO, D.N.; COSTA, E.C.; GUEDES, J.V.C.; BARBOSA, L.R.; MARTÍNEZ, G.; MAYORGA, S.I.; RAMOS, S.O.; BRANCO, M.; GARCÍA, A.; VANEGAS-RICO, J.M.; JIMÉNEZ-QUIROZ, E.; LAUDONIA, S.; NOVOSELSKY, T.; HODEL, D.R.; ARAKLIAN, G.; SILVA, H.; PERINI, C.R.; VALMORBIDA, I.; UGALDE, G.A.; ARNEMANN, J.A. |
Afiliación : |
DAYANNA DO N. MACHADO, Doutoranda pelo Programa de Pós-Graduação em Engenharia Florestal, Universidade Federal de Santa Maria, Santa Maria, Brazil; Departamento de Defesa Fitossanitária, Santa Maria, Rio Grande do Sul, Brazil; ERVANDIL C. COSTA, Departamento de Defesa Fitossanitária, Santa Maria, Rio Grande do Sul, Brazil; JERSON V. C. GUEDES, Departamento de Defesa Fitossanitária, Santa Maria, Rio Grande do Sul, Brazil; LEONARDO R. BARBOSA, Empresa Brasileira de Pesquisa Agropecuária – Embrapa Florestas, Colombo, Paraná, Brazil; GONZALO ANIBAL MARTINEZ CROSA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANDRA I. MAYORGA, Servicio Agrícola y Ganadero (SAG), Santiago, Chile; SERGIO O. RAMOS, Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Yuquerí, Concordia, Entre Ríos, Argentina; MANUELA BRANCO, Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal; ANDRÉ GARCIA, Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal; JUAN MANUEL VANEGAS-RICO, Laboratorio de Control de Plagas, Unidad de Morfología y Función (UMF), Facultad de Estudios Superiores Iztacala, UNAM. Tlalnepantla de Baz, Mexico; EDUARDO JIMÉNEZ-QUIROZ, Laboratorio de Análisis y Referencia en Sanidad Forestal, Ciudad de México, Coyoacán, Mexico; STEFANIA LAUDONIA, Dipartimento di Agraria, Università degli Studi di Napoli Federico II, Portici, Italy; TANIA NOVOSELSKY, The Steinhardt Museum of Natural History, Israel National Center for Biodiversity Studies, Tel Aviv University, Tel Aviv, Israel; DONALD R. HODEL, University of California, Cooperative Extension, Alhambra, CA, United States; GEVORK ARAKELIAN, Entomologist, Los Angeles County Agricultural Commissioner, South Gate, CA, United States; HORACIO SILVA, Facultad de Agronomía Universidad de la República Uruguay, Paysandú, Uruguay; CLÉRISON R. PERINI, Departamento de Defesa Fitossanitária, Santa Maria, Rio Grande do Sul, Brazil; IVAIR VALMORBIDA, Department of Entomology, Iowa State University, Ames, IA, United States; GUSTAVO A. UGALDE, Departamento de Defesa Fitossanitária, Santa Maria, Rio Grande do Sul, Brazil; JONAS A. ARNEMANN, Departamento de Defesa Fitossanitária, Santa Maria, Rio Grande do Sul, Brazil. |
Título : |
One maternal lineage leads the expansion of Thaumastocoris peregrinus (Hemiptera: Thaumastocoridae) in the New and Old Worlds. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Scientific Reports, 1 December 2020, Volume 10, Issue 1, Article number 3487. OPEN ACCESS. Doi: https://doi.org/10.1038/s41598-020-60236-7 |
ISSN : |
2045-2322 |
DOI : |
10.1038/s41598-020-60236-7 |
Idioma : |
Inglés |
Notas : |
Article history: Received 11 July 2019 / Accepted 05 February 2020 / Published 26 February 2020.
Corresponding author: Machado, D.N. - email:dayanasmac@gmail.com |
Contenido : |
ABSTRACT.
The bronze bug, Thaumastocoris peregrinus, an Australian native insect, has become a nearly worldwide invasive pest in the last 16 years and has been causing significant damage to eucalypts (Myrtaceae), including Eucalyptus spp. and Corymbia spp. Its rapid expansion leads to new questions about pathways and routes that T. peregrinus used to invade other continents and countries. We used mtDNA to characterize specimens of T. peregrinus collected from 10 countries where this species has become established, including six recently invaded countries: Chile, Israel, Mexico, Paraguay, Portugal, and the United States of America. We then combined our mtDNA data with previous data available from South Africa, Australia, and Europe to construct a world mtDNA network of haplotypes. Haplotype A was the most common present in all specimens of sites sampled in the New World, Europe, and Israel, however from Australia second more frequently. Haplotype D was the most common one from native populations in Australia. Haplotype A differs from the two major haplotypes found in South Africa (D and G), confirming that at least two independent invasions occurred, one from Australia to South Africa, and the other one from Australia to South America (A). In conclusion, Haplotype A has an invasion success over many countries in the World. Additionally, analyzing data from our work and previous reports, it is possible to suggest some invasive routes of T. peregrinus to predict such events and support preventive control measures. © 2020, The Author(s). MenosABSTRACT.
The bronze bug, Thaumastocoris peregrinus, an Australian native insect, has become a nearly worldwide invasive pest in the last 16 years and has been causing significant damage to eucalypts (Myrtaceae), including Eucalyptus spp. and Corymbia spp. Its rapid expansion leads to new questions about pathways and routes that T. peregrinus used to invade other continents and countries. We used mtDNA to characterize specimens of T. peregrinus collected from 10 countries where this species has become established, including six recently invaded countries: Chile, Israel, Mexico, Paraguay, Portugal, and the United States of America. We then combined our mtDNA data with previous data available from South Africa, Australia, and Europe to construct a world mtDNA network of haplotypes. Haplotype A was the most common present in all specimens of sites sampled in the New World, Europe, and Israel, however from Australia second more frequently. Haplotype D was the most common one from native populations in Australia. Haplotype A differs from the two major haplotypes found in South Africa (D and G), confirming that at least two independent invasions occurred, one from Australia to South Africa, and the other one from Australia to South America (A). In conclusion, Haplotype A has an invasion success over many countries in the World. Additionally, analyzing data from our work and previous reports, it is possible to suggest some invasive routes of T. peregrinus to predict such events and... Presentar Todo |
Palabras claves : |
Thaumastocoris peregrinus. |
Asunto categoría : |
K01 Ciencias forestales - Aspectos generales |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14304/1/s41598-020-60236-7.pdf
https://www.nature.com/articles/s41598-020-60236-7.pdf
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Marc : |
LEADER 02932naa a2200397 a 4500 001 1060919 005 2020-04-21 008 2020 bl uuuu u00u1 u #d 022 $a2045-2322 024 7 $a10.1038/s41598-020-60236-7$2DOI 100 1 $aMACHADO, D.N. 245 $aOne maternal lineage leads the expansion of Thaumastocoris peregrinus (Hemiptera$bThaumastocoridae) in the New and Old Worlds.$h[electronic resource] 260 $c2020 500 $aArticle history: Received 11 July 2019 / Accepted 05 February 2020 / Published 26 February 2020. Corresponding author: Machado, D.N. - email:dayanasmac@gmail.com 520 $aABSTRACT. The bronze bug, Thaumastocoris peregrinus, an Australian native insect, has become a nearly worldwide invasive pest in the last 16 years and has been causing significant damage to eucalypts (Myrtaceae), including Eucalyptus spp. and Corymbia spp. Its rapid expansion leads to new questions about pathways and routes that T. peregrinus used to invade other continents and countries. We used mtDNA to characterize specimens of T. peregrinus collected from 10 countries where this species has become established, including six recently invaded countries: Chile, Israel, Mexico, Paraguay, Portugal, and the United States of America. We then combined our mtDNA data with previous data available from South Africa, Australia, and Europe to construct a world mtDNA network of haplotypes. Haplotype A was the most common present in all specimens of sites sampled in the New World, Europe, and Israel, however from Australia second more frequently. Haplotype D was the most common one from native populations in Australia. Haplotype A differs from the two major haplotypes found in South Africa (D and G), confirming that at least two independent invasions occurred, one from Australia to South Africa, and the other one from Australia to South America (A). In conclusion, Haplotype A has an invasion success over many countries in the World. Additionally, analyzing data from our work and previous reports, it is possible to suggest some invasive routes of T. peregrinus to predict such events and support preventive control measures. © 2020, The Author(s). 653 $aThaumastocoris peregrinus 700 1 $aCOSTA, E.C. 700 1 $aGUEDES, J.V.C. 700 1 $aBARBOSA, L.R. 700 1 $aMARTÍNEZ, G. 700 1 $aMAYORGA, S.I. 700 1 $aRAMOS, S.O. 700 1 $aBRANCO, M. 700 1 $aGARCÍA, A. 700 1 $aVANEGAS-RICO, J.M. 700 1 $aJIMÉNEZ-QUIROZ, E. 700 1 $aLAUDONIA, S. 700 1 $aNOVOSELSKY, T. 700 1 $aHODEL, D.R. 700 1 $aARAKLIAN, G. 700 1 $aSILVA, H. 700 1 $aPERINI, C.R. 700 1 $aVALMORBIDA, I. 700 1 $aUGALDE, G.A. 700 1 $aARNEMANN, J.A. 773 $tScientific Reports, 1 December 2020, Volume 10, Issue 1, Article number 3487. OPEN ACCESS. Doi: https://doi.org/10.1038/s41598-020-60236-7
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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 : |
04/07/2019 |
Actualizado : |
04/07/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
AGUILAR, I.; LEGARRA, A.; CARDOSO, F.; MASUDA, Y.; LOURENCO, D.; MISZTAL, I. |
Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, INRA (Institut National de la Recherche Agronomique); FERNANDO CARDOSO, Department of Animal Science, Federal University of Pelotas, Brazil; Embrapa Pecuária Sul, Brazil; YUTAKA MASUDA, Department of Animal and Dairy Science, University of Georgia, United States; DANIELA LOURENCO, Department of Animal and Dairy Science, University of Georgia, United States; IGNACY MISZTAL, Department of Animal and Dairy Science, University of Georgia, United States. |
Título : |
Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. (Short Communication) |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Genetics Selection Evolution, 20 June 2019, v. 51, Issue 1, Article number 28. OPEN ACCESS. |
ISSN : |
0999-193X |
DOI : |
10.1186/s12711-019-0469-3 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 3 January 2019 // Accepted: 27 May 2019 // Published Online: 20 June 2019.
Funding text: This study was partially funded by the American Angus Association (St. Joseph, MO) and by Agriculture and Food Research Initiative Competitive Grants No. 2015-67015-22936 from the US Department of Agriculture?s National Institute of Food and Agriculture.
Availability of data and materials: The data that support the fndings of this study were provided from the American Angus Association but restrictions apply to the availability of these data, which were used under license for the current study, and thus are not publicly available. The methods described here are included using ?OPTION snp_p_value? in the parameter fle in software blupf90 (factorization of the mixed model equations and solving of the SSGBLUP equations) and postGSf90
(backsolving of snp efects and computation of p-values), available at http://nce.ads.uga.edu/software/. |
Contenido : |
ABSTRACT.
Background: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies (GWAS) without a formal framework of hypothesis testing. Our objective was to implement p-values for single-marker GWAS studies within the single-step GWAS (SSGWAS) framework by deriving computational algorithms and procedures, and by applying these to a large beef cattle population. Methods: P-values were obtained based on the prediction error (co)variances for single nucleotide polymorphisms (SNPs), which were obtained from the prediction error (co)variances of genomic predictions based on the inverse of the coefficient matrix and formulas to estimate SNP effects. Results: Computation of p-values took a negligible time for a dataset with almost 2 million animals in the pedigree and 1424 genotyped sires, and no inflation of statistics was observed. The SNPs that passed the Bonferroni threshold of 10-5.9 were the same as those that explained the highest proportion of additive genetic variance, but even at the same significance levels and effects, some of them explained less genetic variance due to lower allele frequency. Conclusions: The use of a p-value for SSGWAS is a very general and efficient strategy to identify quantitative trait loci (QTL). It can be used for complex datasets such as those used in animal breeding, where only a proportion of the pedigreed animals are genotyped.
© 2019 The Author(s). MenosABSTRACT.
Background: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies (GWAS) without a formal framework of hypothesis testing. Our objective was to implement p-values for single-marker GWAS studies within the single-step GWAS (SSGWAS) framework by deriving computational algorithms and procedures, and by applying these to a large beef cattle population. Methods: P-values were obtained based on the prediction error (co)variances for single nucleotide polymorphisms (SNPs), which were obtained from the prediction error (co)variances of genomic predictions based on the inverse of the coefficient matrix and formulas to estimate SNP effects. Results: Computation of p-values took a negligible time for a dataset with almost 2 million animals in the pedigree and 1424 genotyped sires, and no inflation of statistics was observed. The SNPs that passed the Bonferroni threshold of 10-5.9 were the same as those that explained the highest proportion of additive genetic variance, but even at the same significance levels and effects, some of them explained less genetic variance due to lower allele frequency. Conclusions: The use of a p-value for SSGWAS is a very general and efficient strategy to identify quantitative trait loci (QTL). It can be used for complex datasets such as those used in animal breeding, where only a proportion of... Presentar Todo |
Palabras claves : |
ANIMALIA. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12994/1/s12711-019-0469-3.pdf
https://gsejournal.biomedcentral.com/track/pdf/10.1186/s12711-019-0469-3
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Marc : |
LEADER 03268naa a2200229 a 4500 001 1059927 005 2019-07-04 008 2019 bl uuuu u00u1 u #d 022 $a0999-193X 024 7 $a10.1186/s12711-019-0469-3$2DOI 100 1 $aAGUILAR, I. 245 $aFrequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle. (Short Communication)$h[electronic resource] 260 $c2019 500 $aArticle history: Received: 3 January 2019 // Accepted: 27 May 2019 // Published Online: 20 June 2019. Funding text: This study was partially funded by the American Angus Association (St. Joseph, MO) and by Agriculture and Food Research Initiative Competitive Grants No. 2015-67015-22936 from the US Department of Agriculture?s National Institute of Food and Agriculture. Availability of data and materials: The data that support the fndings of this study were provided from the American Angus Association but restrictions apply to the availability of these data, which were used under license for the current study, and thus are not publicly available. The methods described here are included using ?OPTION snp_p_value? in the parameter fle in software blupf90 (factorization of the mixed model equations and solving of the SSGBLUP equations) and postGSf90 (backsolving of snp efects and computation of p-values), available at http://nce.ads.uga.edu/software/. 520 $aABSTRACT. Background: Single-step genomic best linear unbiased prediction (SSGBLUP) is a comprehensive method for genomic prediction. Point estimates of marker effects from SSGBLUP are often used for genome-wide association studies (GWAS) without a formal framework of hypothesis testing. Our objective was to implement p-values for single-marker GWAS studies within the single-step GWAS (SSGWAS) framework by deriving computational algorithms and procedures, and by applying these to a large beef cattle population. Methods: P-values were obtained based on the prediction error (co)variances for single nucleotide polymorphisms (SNPs), which were obtained from the prediction error (co)variances of genomic predictions based on the inverse of the coefficient matrix and formulas to estimate SNP effects. Results: Computation of p-values took a negligible time for a dataset with almost 2 million animals in the pedigree and 1424 genotyped sires, and no inflation of statistics was observed. The SNPs that passed the Bonferroni threshold of 10-5.9 were the same as those that explained the highest proportion of additive genetic variance, but even at the same significance levels and effects, some of them explained less genetic variance due to lower allele frequency. Conclusions: The use of a p-value for SSGWAS is a very general and efficient strategy to identify quantitative trait loci (QTL). It can be used for complex datasets such as those used in animal breeding, where only a proportion of the pedigreed animals are genotyped. © 2019 The Author(s). 653 $aANIMALIA 700 1 $aLEGARRA, A. 700 1 $aCARDOSO, F. 700 1 $aMASUDA, Y. 700 1 $aLOURENCO, D. 700 1 $aMISZTAL, I. 773 $tGenetics Selection Evolution, 20 June 2019$gv. 51, Issue 1, Article number 28. OPEN ACCESS.
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