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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
09/06/2021 |
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Actualizado : |
28/07/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CASTELLI L.; BRANCHICCELA, B.; ROMERO H.; ZUNINO P.; ANTUNEZ, K. |
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Afiliación : |
LORELEY CASTELLI, Laboratorio de Microbiología Y Salud de Las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Avda. Italia 3318, Montevideo, Uruguay.; MARIA BELEN BRANCHICCELA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; HÉCTOR ROMERO, Departamento de Ecología Y Evolución, Facultad de Ciencias, Laboratorio de Organización Y Evolución del Genoma, Montevideo, Uruguay,; PABLO ZUNINO, Laboratorio de Microbiología Y Salud de Las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Avda. Italia 3318, Montevideo, Uruguay.; KARINA ANTUNEZ, Laboratorio de Microbiología Y Salud de Las Abejas, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Avda. Italia 3318, Montevideo, Uruguay. |
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Título : |
Seasonal Dynamics of the Honey Bee Gut Microbiota in Colonies Under Subtropical Climate: Seasonal Dynamics of Honey Bee Gut Microbiota. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Microbial Ecology, 2022, volume 83, issue 2, p. 492-500. https://doi.org/10.1007/s00248-021-01756-1 |
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ISSN : |
0095-3628. |
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DOI : |
10.1007/s00248-021-01756-1 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 20 October 2020 / Accepted: 15 April 2021 / Published online: 11 May 2021. -- Partial fnancial support was received from ANII (POS_NAC_2013_1_12228) and PEDECIBA (Uruguay). |
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Contenido : |
Abstract:Honey bees (Apis mellifera) provide invaluable benefts for food production and maintenance of biodiversity of natural environments through pollination. They are widely spread across the world, being adapted to diferent climatic conditions. To survive the winter in cold temperate regions, honey bees developed diferent strategies including storage of honey and pollen, confnement of individuals during the winter, and an annual cycle of colony growth and reproduction. Under these conditions, winter honey bees experience physiological changes, including changes in immunity and the composition of honey
bee gut microbiota. However, under tropical or subtropical climates, the life cycle can experience alterations, i.e., queens lay eggs during almost all the year and new honey bees emerge constantly. In the present study, we characterized nurses? honey bee gut microbiota in colonies under subtropical region through a year, combining qPCR, PCR-DGGE, and 16S rDNA highthroughput sequencing. We also identifed environmental variables involved in those changes. Our results showed that under the mentioned conditions, the number of bacteria is stable throughout the year. Diversity of gut microbiota is higher in spring
and lower in summer and winter. Gradual changes in compositions occur between seasons: Lactobacillus spp. predominate in spring while Gilliamella apicola and Snodgrasella alvi predominate in summer and winter. Environmental variables (mainly precipitations) afected the composition of the honey bee gut microbiota. Our fndings provide new insights into the dynamics of honey bee gut microbiota and may be useful to understand the adaptation of bees to diferent environmental conditions. MenosAbstract:Honey bees (Apis mellifera) provide invaluable benefts for food production and maintenance of biodiversity of natural environments through pollination. They are widely spread across the world, being adapted to diferent climatic conditions. To survive the winter in cold temperate regions, honey bees developed diferent strategies including storage of honey and pollen, confnement of individuals during the winter, and an annual cycle of colony growth and reproduction. Under these conditions, winter honey bees experience physiological changes, including changes in immunity and the composition of honey
bee gut microbiota. However, under tropical or subtropical climates, the life cycle can experience alterations, i.e., queens lay eggs during almost all the year and new honey bees emerge constantly. In the present study, we characterized nurses? honey bee gut microbiota in colonies under subtropical region through a year, combining qPCR, PCR-DGGE, and 16S rDNA highthroughput sequencing. We also identifed environmental variables involved in those changes. Our results showed that under the mentioned conditions, the number of bacteria is stable throughout the year. Diversity of gut microbiota is higher in spring
and lower in summer and winter. Gradual changes in compositions occur between seasons: Lactobacillus spp. predominate in spring while Gilliamella apicola and Snodgrasella alvi predominate in summer and winter. Environmental variables (mainly precipitations) afected t... Presentar Todo |
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Palabras claves : |
High-throughput sequencing; Honey bee gut microbiota; HONEY BEES; PCR-DGGE. |
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Thesagro : |
ABEJA MELIFERA; APICULTURA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02796naa a2200277 a 4500
001 1062119
005 2023-07-28
008 2022 bl uuuu u00u1 u #d
022 $a0095-3628.
024 7 $a10.1007/s00248-021-01756-1$2DOI
100 1 $aCASTELLI L.
245 $aSeasonal Dynamics of the Honey Bee Gut Microbiota in Colonies Under Subtropical Climate$bSeasonal Dynamics of Honey Bee Gut Microbiota.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 20 October 2020 / Accepted: 15 April 2021 / Published online: 11 May 2021. -- Partial fnancial support was received from ANII (POS_NAC_2013_1_12228) and PEDECIBA (Uruguay).
520 $aAbstract:Honey bees (Apis mellifera) provide invaluable benefts for food production and maintenance of biodiversity of natural environments through pollination. They are widely spread across the world, being adapted to diferent climatic conditions. To survive the winter in cold temperate regions, honey bees developed diferent strategies including storage of honey and pollen, confnement of individuals during the winter, and an annual cycle of colony growth and reproduction. Under these conditions, winter honey bees experience physiological changes, including changes in immunity and the composition of honey bee gut microbiota. However, under tropical or subtropical climates, the life cycle can experience alterations, i.e., queens lay eggs during almost all the year and new honey bees emerge constantly. In the present study, we characterized nurses? honey bee gut microbiota in colonies under subtropical region through a year, combining qPCR, PCR-DGGE, and 16S rDNA highthroughput sequencing. We also identifed environmental variables involved in those changes. Our results showed that under the mentioned conditions, the number of bacteria is stable throughout the year. Diversity of gut microbiota is higher in spring and lower in summer and winter. Gradual changes in compositions occur between seasons: Lactobacillus spp. predominate in spring while Gilliamella apicola and Snodgrasella alvi predominate in summer and winter. Environmental variables (mainly precipitations) afected the composition of the honey bee gut microbiota. Our fndings provide new insights into the dynamics of honey bee gut microbiota and may be useful to understand the adaptation of bees to diferent environmental conditions.
650 $aABEJA MELIFERA
650 $aAPICULTURA
653 $aHigh-throughput sequencing
653 $aHoney bee gut microbiota
653 $aHONEY BEES
653 $aPCR-DGGE
700 1 $aBRANCHICCELA, B.
700 1 $aROMERO H.
700 1 $aZUNINO P.
700 1 $aANTUNEZ, K.
773 $tMicrobial Ecology, 2022, volume 83, issue 2, p. 492-500. https://doi.org/10.1007/s00248-021-01756-1
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Registro original : |
INIA La Estanzuela (LE) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
25/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
COZZOLINO, D.; VADELL, A.; BALLESTEROS, F; GALIETTA, G.; BARLOCCO, N. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. VADELL, Cátedra de Suinos, Centro Regional Sur, Facultad de AgronomíaUniversidad de la República, UDELARMontevideoUruguay; F BALLESTEROS, Unidad Tecnología de los Alimentos, Facultad de Agronomía.Universidad de la República, UDELAR.Montevideo.Uruguay.; GIOVANNI GALIETTA, Unidad Tecnología de los Alimentos, Facultad de Agronomía.Universidad de la República, UDELAR.Montevideo.Uruguay.; N BARLOCCO, Cátedra de Suinos, Centro Regional Sur, Facultad de Agronomía Universidad de la República, UDELAR Montevideo Uruguay. |
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Título : |
Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Analytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936. |
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DOI : |
10.1007/s00216-006-0483-5 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006. |
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Contenido : |
Abstract
Visible (Vis) and near-infrared reflectance (NIR) spectroscopy combined with chemometrics was explored as a tool to trace muscles from autochthonous and crossbreed pigs from Uruguay. Muscles were sourced from two breeds, namely, the Pampa-Rocha (PR) and the Pampa-Rocha x Duroc (PRxD) crossbreed. Minced muscles were scanned in the Vis and NIR regions (400?2,500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), discriminant partial least square regression (DPLS), linear discriminant analysis (LDA) based on PCA scores and soft independent modelling of class analogy (SIMCA) were used to identify the origin of the muscles based on Vis and NIR data. Full cross validation was used as validation method when classification models were developed. DPLS correctly classified 87% of PR and 78% of PRxD muscle samples. LDA calibration models correctly classified 87 and 67% of muscles as PR and PRxD, respectively. SIMCA correctly classified 100% of PR muscles. The results demonstrated the usefulness of Vis and NIR spectra combined with chemometrics as rapid method for authentication and identification of muscles according to the breed of pig. |
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Palabras claves : |
LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PIG MUSCLES; PRINCIPAL COMPONENT ANALYSIS; TRACEABILITY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02152naa a2200253 a 4500
001 1049590
005 2019-09-25
008 2006 bl uuuu u00u1 u #d
024 7 $a10.1007/s00216-006-0483-5$2DOI
100 1 $aCOZZOLINO, D.
245 $aCombining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay$bA feasibility study.
260 $c2006
500 $aArticle history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006.
520 $aAbstract Visible (Vis) and near-infrared reflectance (NIR) spectroscopy combined with chemometrics was explored as a tool to trace muscles from autochthonous and crossbreed pigs from Uruguay. Muscles were sourced from two breeds, namely, the Pampa-Rocha (PR) and the Pampa-Rocha x Duroc (PRxD) crossbreed. Minced muscles were scanned in the Vis and NIR regions (400?2,500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), discriminant partial least square regression (DPLS), linear discriminant analysis (LDA) based on PCA scores and soft independent modelling of class analogy (SIMCA) were used to identify the origin of the muscles based on Vis and NIR data. Full cross validation was used as validation method when classification models were developed. DPLS correctly classified 87% of PR and 78% of PRxD muscle samples. LDA calibration models correctly classified 87 and 67% of muscles as PR and PRxD, respectively. SIMCA correctly classified 100% of PR muscles. The results demonstrated the usefulness of Vis and NIR spectra combined with chemometrics as rapid method for authentication and identification of muscles according to the breed of pig.
653 $aLINEAR DISCRIMINANT ANALYSIS
653 $aNEAR-INFRARED SPECTROSCOPY
653 $aPIG MUSCLES
653 $aPRINCIPAL COMPONENT ANALYSIS
653 $aTRACEABILITY
700 1 $aVADELL, A.
700 1 $aBALLESTEROS, F
700 1 $aGALIETTA, G.
700 1 $aBARLOCCO, N.
773 $tAnalytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936.
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