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1. Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range

Author

Henderson, G., Cox, F., Ganesh, S., Jonker, A., Young, W., Janssen, P. H., Abecia, Leticia, Angarita, E., Aravena, P., Arenas, G. N., Ariza, C., Kelly, W. J., Guan, L. L., Miri, V. H., Hernandez-Sanabria, E., Gomez, A. X. I., Isah, O. A., Ishaq, S., Kim, S.-H., Klieve, A., Kobayashi, Y., Parra, D., Koike, S., Kopecny, J., Kristensen, T. N., O'Neill, B., Krizsan, S. J., LaChance, H., Lachman, M., Lamberson, W. R., Lambie, S., Lassen, J., Muñoz, C., Leahy, S. C., Lee, S. S., Leiber, F., Lewis, E., Ospina, S., Lin, B., Lira, R., Lund, P., Macipe, E., Mamuad, L. L., Murovec, B., Mantovani, H. C., Marcoppido, G. A., Márquez, C., Martin, C., Martínez-Fernández, Gonzalo, Ouwerkerk, D., Martínez, M. E., Mayorga, O. L., McAllister, T. A., McSweeney, C., Newbold, C. Jamie, Mestre, L., Minnee, E., Mitsumori, M., Mizrahi, I., Molina, I., Muenger, A., Nsereko, V., O'Donovan, M., Okunade, S., Pereira, L. G. R., Pinares-Patino, C., Pope, P. B., Bannink, A., Poulsen, M., Rodehutscord, M., Rodriguez, T., Attwood, G. T., Saito, K., Sales, F., Sauer, C., Shingfield, K. J., Shoji, N., Simunek, J., Zambrano, R., Stojanović -Radić, Z., Stres, B., Sun, X., Swartz, J., Ávila, J. M., Tan, Z. L., Tapio, I., Taxis, T. M., Tomkins, N., Ungerfeld, E., Zeitz, J., Valizadeh, R., Van Adrichem, P., van Hamme, J., Van Hoven, W., Waghorn, G., Avila-Stagno, J., Wallace, R. J., Wang, M., Waters, S. M., Keogh, K., Zhou, M., Witzig, M., Wright, A.-D. G., Yamano, H., Yan, T., Yáñez Ruiz, David R., Yeoman, C. J., Zhou, H. W., Zou, C. X., Zunino, P., Barahona, R., Batistotti, M., Bertelsen, M. F., Jami, E., Brown-Kav, A., Carvajal, A. M., Cersosimo, L., Chaves, A. V., Church, J., Clipson, N., Cobos-Peralta, M. A., Cookson, A. L., Cravero, S., Carballo, O. C., Jelincic, J., Crosley, K., Cruz, Gustavo, Cucchi, M. C., De La Barra, R., De Menezes, A. B., Detmann, E., Dieho, K., Dijkstra, J., Dos Reis, W. L. S., Dugan, M. E. R., Kantanen, J., Ebrahimi, S. H., Eythórsdóttir, E., Fon, F. N., Fraga, M., Franco, F., Friedeman, C., Fukuma, N., Gagić , D., Gangnat, I., Grilli, D. J., European Commission, and De Menezes, AB

Subjects
DNA, Bacterial, Rumen, animal structures, Animal Nutrition, Microorganism, Article, 03 medical and health sciences, Species Specificity, Ruminant, Butyrivibrio, Animals, DNA Barcoding, Taxonomic, Life Science, Microbiome, Phylogeny, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, Multidisciplinary, Bacteria, Geography, biology, 030306 microbiology, Host (biology), Ecology, Genetic Variation, Ruminants, Sequence Analysis, DNA, DNA, Protozoan, 15. Life on land, biology.organism_classification, Archaea, Diervoeding, Diet, Gastrointestinal Microbiome, DNA, Archaeal, Microbial population biology, 13. Climate action, Host-Pathogen Interactions, WIAS, Erratum
Abstract

© 2015 Macmillan Publishers Limited. Ruminant livestock are important sources of human food and global greenhouse gas emissions. Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. Rumen and camelid foregut microbial community composition was determined in 742 samples from 32 animal species and 35 countries, to estimate if this was influenced by diet, host species, or geography. Similar bacteria and archaea dominated in nearly all samples, while protozoal communities were more variable. The dominant bacteria are poorly characterised, but the methanogenic archaea are better known and highly conserved across the world. This universality and limited diversity could make it possible to mitigate methane emissions by developing strategies that target the few dominant methanogens. Differences in microbial community compositions were predominantly attributable to diet, with the host being less influential. There were few strong co-occurrence patterns between microbes, suggesting that major metabolic interactions are non-selective rather than specific., We thank Ron Ronimus, Paul Newton, and Christina Moon for reading and commenting on the manuscript. We thank all who provided assistance that allowed Global Rumen Census collaborators to supply samples and metadata (Supplemental Text 1). AgResearch was funded by the New Zealand Government as part of its support for the Global Research Alliance on Agricultural Greenhouse Gases. The following funding sources allowed Global Rumen Census collaborators to supply samples and metadata, listed with the primary contact(s) for each funding source: Agencia Nacional de Investigación e Innovación, Martín Fraga; Alberta Livestock and Meat Agency, Canada, Tim A. McAllister; Area de Ciencia y Técnica, Universidad Juan A Maza (Resolución Proy. N° 508/2012), Diego Javier Grilli; Canada British Columbia Ranching Task Force Funding Initiative, John Church; CNPq, Hilário Cuquetto Mantovani, Luiz Gustavo Ribeiro Pereira; FAPEMIG, Hilário Cuquetto Mantovani; FAPEMIG, PECUS RumenGases, Luiz Gustavo Ribeiro Pereira; Cooperative Research Program for Agriculture Science & Technology Development (project number PJ010906), Rural Development Administration, Republic of Korea, Sang-Suk Lee; Dutch Dairy Board & Product Board Animal Feed, André Bannink, Kasper Dieho, Jan Dijkstra; Ferdowsi University of Mashhad, Vahideh Heidarian Miri; Finnish Ministry of Agriculture and Forestry, Ilma Tapio; Instituto Nacional de Tecnología Agropecuaria, Argentina (Project PNBIO1431044), Silvio Cravero, María Cerón Cucchi; Irish Department of Agriculture, Fisheries and Food, Alexandre B. De Menezes; Meat & Livestock Australia; and Department of Agriculture, Fisheries & Forestry (Australian Government), Chris McSweeney; Ministerio de Agricultura y desarrollo sostenible (Colombia), Olga Lucía Mayorga; Montana Agricultural Experiment Station project (MONB00113), Carl Yeoman; Multistate project W-3177 Enhancing the competitiveness of US beef (MONB00195), Carl Yeoman; NSW Stud Merino Breeders’ Association, Alexandre Vieira Chaves; Queensland Enteric Methane Hub, Diane Ouwerkerk; RuminOmics, Jan Kopecny, Ilma Tapio; Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government and the Technology Strategy Board, UK, R. John Wallace; Science Foundation Ireland (09/RFP/GEN2447), Sinead Waters; Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación, Mario A. Cobos-Peralta; Slovenian Research Agency (project number J1-6732 and P4-0097), Blaz Stres; Strategic Priority Research Program, Climate Change: Carbon Budget and Relevant Issues (Grant No.XDA05020700), ZhiLiang Tan; The European Research Commission Starting Grant Fellowship (336355—MicroDE), Phil B. Pope; The Independent Danish Research Council (project number 4002-00036), Torsten Nygaard Kristensen; and The Independent Danish Research Council (Technology and Production, project number 11-105913), Jan Lassen. These funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Published
2015
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2. Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range

Author

European Commission, Henderson, G., Cox, F., Ganesh, S., Jonker, A., Young, W., Janssen, P. H., Abecia, Leticia, Angarita, E., Aravena, P., Arenas, G. N., Ariza, C., Zhou, M., Witzig, M., Wright, A.-D. G., Yamano, H., Yan, T., Yáñez Ruiz, David R., Yeoman, C. J., Zhou, H. W., Zou, C. X., Zunino, P., Kelly, W. J., Barahona, R., Batistotti, M., Bertelsen, M. F., Jami, E., Brown-Kav, A., Carvajal, A. M., Cersosimo, L., Chaves, A. V., Church, J., Clipson, N., Guan, L. L., Cobos-Peralta, M. A., Cookson, A. L., Cravero, S., Carballo, O. C., Jelincic, J., Crosley, K., Cruz, Gustavo, Cucchi, M. C., De La Barra, R., De Menezes, A. B., Miri, V. H., Detmann, E., Dieho, K., Dijkstra, J., Dos Reis, W. L. S., Dugan, M. E. R., Kantanen, J., Ebrahimi, S. H., Eythórsdóttir, E., Fon, F. N., Fraga, M., Hernandez-Sanabria, E., Franco, F., Friedeman, C., Fukuma, N., Gagić , D., Gangnat, I., Grilli, D. J., Gomez, A. X. I., Isah, O. A., Ishaq, S., Kim, S.-H., Klieve, A., Kobayashi, Y., Parra, D., Koike, S., Kopecny, J., Kristensen, T. N., O'Neill, B., Krizsan, S. J., LaChance, H., Lachman, M., Lamberson, W. R., Lambie, S., Lassen, J., Muñoz, C., Leahy, S. C., Lee, S. S., Leiber, F., Lewis, E., Ospina, S., Lin, B., Lira, R., Lund, P., Macipe, E., Mamuad, L. L., Murovec, B., Mantovani, H. C., Marcoppido, G. A., Márquez, C., Martín, C., Martínez-Fernández, Gonzalo, Ouwerkerk, D., Martínez, M. E., Mayorga, O. L., McAllister, T. A., McSweeney, C., Newbold, C. Jamie, Mestre, L., Minnee, E., Mitsumori, M., Mizrahi, I., Molina, I., Muenger, A., Nsereko, V., O'Donovan, M., Okunade, S., Pereira, L. G. R., Pinares-Patino, C., Pope, P. B., Bannink, A., Poulsen, M., Rodehutscord, M., Rodríguez, T., Attwood, G. T., Saito, K., Sales, F., Sauer, C., Shingfield, K. J., Shoji, N., Simunek, J., Zambrano, R., Stojanović -Radić, Z., Stres, B., Sun, X., Swartz, J., Ávila, J. M., Tan, Z. L., Tapio, I., Taxis, T. M., Tomkins, N., Ungerfeld, E., Zeitz, J., Valizadeh, R., Van Adrichem, P., van Hamme, J., Van Hoven, W., Waghorn, G., Avila-Stagno, J., Wallace, R. J., Wang, M., Waters, S. M., Keogh, K., European Commission, Henderson, G., Cox, F., Ganesh, S., Jonker, A., Young, W., Janssen, P. H., Abecia, Leticia, Angarita, E., Aravena, P., Arenas, G. N., Ariza, C., Zhou, M., Witzig, M., Wright, A.-D. G., Yamano, H., Yan, T., Yáñez Ruiz, David R., Yeoman, C. J., Zhou, H. W., Zou, C. X., Zunino, P., Kelly, W. J., Barahona, R., Batistotti, M., Bertelsen, M. F., Jami, E., Brown-Kav, A., Carvajal, A. M., Cersosimo, L., Chaves, A. V., Church, J., Clipson, N., Guan, L. L., Cobos-Peralta, M. A., Cookson, A. L., Cravero, S., Carballo, O. C., Jelincic, J., Crosley, K., Cruz, Gustavo, Cucchi, M. C., De La Barra, R., De Menezes, A. B., Miri, V. H., Detmann, E., Dieho, K., Dijkstra, J., Dos Reis, W. L. S., Dugan, M. E. R., Kantanen, J., Ebrahimi, S. H., Eythórsdóttir, E., Fon, F. N., Fraga, M., Hernandez-Sanabria, E., Franco, F., Friedeman, C., Fukuma, N., Gagić , D., Gangnat, I., Grilli, D. J., Gomez, A. X. I., Isah, O. A., Ishaq, S., Kim, S.-H., Klieve, A., Kobayashi, Y., Parra, D., Koike, S., Kopecny, J., Kristensen, T. N., O'Neill, B., Krizsan, S. J., LaChance, H., Lachman, M., Lamberson, W. R., Lambie, S., Lassen, J., Muñoz, C., Leahy, S. C., Lee, S. S., Leiber, F., Lewis, E., Ospina, S., Lin, B., Lira, R., Lund, P., Macipe, E., Mamuad, L. L., Murovec, B., Mantovani, H. C., Marcoppido, G. A., Márquez, C., Martín, C., Martínez-Fernández, Gonzalo, Ouwerkerk, D., Martínez, M. E., Mayorga, O. L., McAllister, T. A., McSweeney, C., Newbold, C. Jamie, Mestre, L., Minnee, E., Mitsumori, M., Mizrahi, I., Molina, I., Muenger, A., Nsereko, V., O'Donovan, M., Okunade, S., Pereira, L. G. R., Pinares-Patino, C., Pope, P. B., Bannink, A., Poulsen, M., Rodehutscord, M., Rodríguez, T., Attwood, G. T., Saito, K., Sales, F., Sauer, C., Shingfield, K. J., Shoji, N., Simunek, J., Zambrano, R., Stojanović -Radić, Z., Stres, B., Sun, X., Swartz, J., Ávila, J. M., Tan, Z. L., Tapio, I., Taxis, T. M., Tomkins, N., Ungerfeld, E., Zeitz, J., Valizadeh, R., Van Adrichem, P., van Hamme, J., Van Hoven, W., Waghorn, G., Avila-Stagno, J., Wallace, R. J., Wang, M., Waters, S. M., and Keogh, K.

Abstract

© 2015 Macmillan Publishers Limited. Ruminant livestock are important sources of human food and global greenhouse gas emissions. Feed degradation and methane formation by ruminants rely on metabolic interactions between rumen microbes and affect ruminant productivity. Rumen and camelid foregut microbial community composition was determined in 742 samples from 32 animal species and 35 countries, to estimate if this was influenced by diet, host species, or geography. Similar bacteria and archaea dominated in nearly all samples, while protozoal communities were more variable. The dominant bacteria are poorly characterised, but the methanogenic archaea are better known and highly conserved across the world. This universality and limited diversity could make it possible to mitigate methane emissions by developing strategies that target the few dominant methanogens. Differences in microbial community compositions were predominantly attributable to diet, with the host being less influential. There were few strong co-occurrence patterns between microbes, suggesting that major metabolic interactions are non-selective rather than specific.

Published
2015

4. Variation in adrenal and thyroid hormones with life-history stage in juvenile northern elephant seals (Mirounga angustirostris).

Author

Jelincic JA, Tift MS, Houser DS, and Crocker DE

Subjects
Animals, Fasting blood, Female, Hydrocortisone blood, Male, Triiodothyronine blood, Adrenal Cortex Hormones blood, Life Cycle Stages, Seals, Earless blood, Seals, Earless growth & development, Thyroid Hormones blood
Abstract

The classical approach to quantifying the impact of stressors on wildlife is through characterization of hormones associated with the generalized stress response. However, interpretation of hormone data can be difficult due to the range of natural variation within a species and potential confounds of individual and life-history variables. Blood adrenal and thyroid hormones were measured in 144 chemically immobilized yearling northern elephant seals (Mirounga angustirostris) to characterize variation between sexes and across semiannual haul-outs. There was no relationship between hormone concentrations and time needed for collecting blood nor evidence of diel patterns, suggesting that collection of samples for baseline values can be accomplished without bias due to handling artifacts or time of day. Serum cortisol concentrations did not vary with gender or across haul-out fasts but increased dramatically during molting. Cortisol was correlated with aldosterone across all measured life-history stages. Thyroid hormone levels were lower in females and decreased with fasting in both sexes during the fall haul-out. Cortisol concentrations were inversely associated with total triiodothyronine (T3) and positively associated with reverse T3 concentrations across all measured life-history stages suggesting an important impact of cortisol on deiodinase enzymes and thyroid function. Epinephrine concentrations increased across fasts and norepinephrine concentrations were higher in males than in females. Significant variation in stress hormone concentrations with gender and life-history stage emphasizes the importance of contextual variables when interpreting serum hormone concentrations., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Published
2017
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5. [Blessed Ottone of Pola: an Istrian charismatic].

Author

Jelincic J

Subjects
Croatia, History, Medieval, Humans, Italy, Catholicism history, Religion and Medicine
Abstract

This article follows in the footsteps of oral tradition and literary sources, Blessed Ottone of Pola by O. Zvonko Zlodi in particular. It presents in broad lines the hagiography of an Istrian charismatic and Franciscan friar Ottone of Pola, one of the early disciples of St Francis of Assisi to arrive in Istria. Scarce sources about his origin and life evidence that he lived in Pola (Pula) in the first half of the 13th century, where he was buried in the Church of St Francis. Tradition has it that in addition to exceptional goodness and absolute virtue he also performed fourteen healing miracles that have been described in detail by several church chroniclers. Even though he was not officially beatified, the Church approved of his worship.

Published
2011

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