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1. A rapid and multi-element method for the analysis of major nutrients in grass (Lolium perenne) using energy-dispersive X-ray fluorescence spectroscopy

Author

Daly K. and Fenelon A.

Subjects
calcium, calibration, grass, magnesium, nutrients, phosphorus, potassium, X-ray fluorescence, Agriculture (General), S1-972, Nutrition. Foods and food supply, TX341-641
Abstract

Elemental analysis of grass (Lolium perenne) is essential in agriculture to ensure grass quality and animal health. Energy-dispersive X-ray fluorescence (EDXRF) spectroscopy is a rapid, multi-element alternative to current methods using acid digestion and inductively coupled plasma optical emission spectrometry (ICP-OES). Percentage phosphorus (P), potassium (K), magnesium (Mg) and calcium (Ca), determined from grass samples using EDXRF, were within 0.035, 0.319, 0.025 and 0.061, respectively, of ICP-OES values. Concordance correlation coefficients computed using agreement statistics ranged from 0.4379 to 0.9669 (values close to one indicate excellent agreement); however, the level of agreement for each element depended on the calibrations used in EDXRF. Empirical calibrations gave excellent agreement for percentage P, K and Ca, but moderate agreement for percentage Mg due to a weaker correlation between standards and intensities. Standardless calibration using the fundamental parameters (FP) approach exhibited bias, with consistently lower values reported for percentage P and Mg, when compared with ICP-OES methods. The relationship between the methods was plotted as scatter plots with the line of equality included, and although correlation coefficients indicated strong relationships, these statistics masked the effects of consistent bias in the data for percentage P and Mg. These results highlight the importance of distinguishing agreement from correlation when using statistical methods to compare methods of analysis. Agreement estimates improved when a matching library of grass samples was added to the FP method. EDXRF is a comparable alternative to conventional methods for grass analysis when samples of similar matrix type are used as empirical standards or as a matching library.

Published
2017
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5. A semi-quantitative risk model for dairy farms to pinpoint and break source-pathway connections between nutrient sources and open drainage channel sections.

Author

Opoku, D. G., Healy, M. G., Fenton, O., Daly, K., Condon, T., and Tuohy, P.

Subjects
PHOSPHORUS in water, WATER diversion, DAIRY farms, MEADOWS, NITROGEN in water
Abstract

Introduction: On intensive grassland dairy farms in high rainfall areas with poorly drained soils, networks of open drainage channels linked to in-field drainage systems are needed to enable farm operations. Nitrogen and phosphorus point and diffuse sources may be connected to this open drainage channel network along surface and subsurface pathways, with negative impacts upon delivery to the downstream aquatic system. Methods: This study developed a semi-quantitative risk assessment model by: (1) selecting parameters (categorical or continuous) representing the nutrient transfer continuum and (2) scoring (relative magnitude and impact) the risk of nutrient source connectivity and delivery for every open drainage channel section across seven dairy farms. Results and Discussion: A Risk Index Classification System consisting of low, medium, high, or very high-risk class was developed, with high or above requiring a mitigation plan. Results showed that 23%, 68%, 9% and 0% of all open drainage channels on study farms were identified as low, moderate, high and very highrisk, respectively. A range from 2% to 25% per farm of the open drainage channels was classified as high-risk that potentially needed mitigation, although none was identified as very high-risk. Two-thirds of the high-risk open drainage channels were connected to the farmyards, with potential for high nutrient loss from point sources. A combined approach of source management and targeted breaking of the pathway (e.g., in-channel filters, water diversion bars) may help minimise nutrient losses from high risk open drainage channels on poorly draining soils. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Teneurin-3 regulates the generation of nonimage-forming visual circuitry and responsiveness to light in the suprachiasmatic nucleus.

Author

Hunyara, John L., Daly, K. M., Torres, Katherine, Yurgel, Maria E., Komal, Ruchi, Hattar, Samer, and Kolodkin, Alex L.

Subjects
*SUPRACHIASMATIC nucleus, *RETINAL ganglion cells, *VASOACTIVE intestinal peptide, *VASOPRESSIN, *CIRCADIAN rhythms, *INNERVATION
Abstract

Visual system function depends upon the elaboration of precise connections between retinal ganglion cell (RGC) axons and their central targets in the brain. Though some progress has been made in defining the molecules that regulate RGC connectivity required for the assembly and function of image-forming circuitry, surprisingly little is known about factors required for intrinsically photosensitive RGCs (ipRGCs) to target a principal component of the nonimage-forming circuitry: the suprachiasmatic nucleus (SCN). Furthermore, the molecules required for forming circuits critical for circadian behaviors within the SCN are not known. We observe here that the adhesion molecule teneurin-3 (Tenm3) is highly expressed in vasoactive intestinal peptide (VIP) neurons located in the core region of the SCN. Since Tenm3 is required for other aspects of mammalian visual system development, we investigate roles for Tenm3 in regulating ipRGC-SCN connectivity and function. Our results show that Tenm3 negatively regulates association between VIP and arginine vasopressin (AVP) neurons within the SCN and is essential for M1 ipRGC axon innervation to the SCN. Specifically, in Tenm3-/- mice, we find a reduction in ventro-medial innervation to the SCN. Despite this reduction, Tenm3-/- mice have higher sensitivity to light and faster re-entrainment to phase advances, probably due to the increased association between VIP and AVP neurons. These data show that Tenm3 plays key roles in elaborating nonimage-forming visual system circuitry and that it influences murine responses to phase-advancing light stimuli. What enables intrinsically photosensitive retinal ganglion cells to target the suprachiasmatic nucleus? This study demonstrates that the adhesion molecule teneurin-3 plays a key role in elaborating this circuitry and influences murine responses to phase-advancing light stimuli. [ABSTRACT FROM AUTHOR]

Published
2023
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17. Geographical contrasts of Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions

Author

Nijman, I. J., Rosen, B. D., Bardou, P., Faraut, T., Cumer, T., Daly, K. G., Zheng, Z., Cai, Y., Asadollahpour, H., Kul, B. C., Zhang, W. -Y., Guangxin, E., Ayin, A., Baird, H., Bakhtin, M., Balteanu, V. A., Barfield, D., Berger, B., Blichfeldt, T., Boink, G., Bugiwati, S. R. A., Cai, Z., Carolan, S., Clark, E., Cubric-Curik, V., Dagong, M. I. A., Dorji, T., Drew, L., Guo, J., Hallsson, J., Horvat, S., Kantanen, J., Kawaguchi, F., Kazymbet, P., Khayatzadeh, N., Kim, N., Shah, M. K., Liao, Y., Martinez, A., Masangkay, J., Masaoka, M., Mazza, R., Mcewan, J., Milanesi, M., Omar, F. M., Nomura, Y., Ouchene-Khelifi, N. -A., Pereira, F., Sahana, G., Salavati, M., Sasazaki, S., Da Silva, A., Simcic, M., Solkner, J., Sutherland, A., Tigchelaar, J., Zhang, H., Ajmone-Marsan, P., Bradley, D. G., Colli, L., Drogemuller, C., Jiang, Y., Lei, C., Mannen, H., Pompanon, F., Tosser-Klopp, G., Lenstra, J. A., Kijas, J., Guldbrandtsen, B., Denoyelle, L., Sarry, J., le Talouarn, E., Alberti, A., Orvain, C., Engelen, S., Duby, D., Martin, P., Danchin, C., Duclos, D., Allain, D., Arquet, R., Mandonnet, N., Naves, M., Palhiere, I., Rupp, R., Rezaei, H. R., Foran, M., Stella, A., Del Corvo, M., Crisa, A., Marletta, D., Crepaldi, P., Ottino, M., Randi, E., Mujibi, D. F., Gondwe, T., Benjelloun, B., Taela, M. D. G., Nash, O., Moaeen-ud-Din, M., Visser, C., Goyache, F., Alvarez, I., Amills, M., Sanchez, A., Capote, J., Jordana, J., Pons, A., Balears, I., Molina, A., Mruttu, H. A., Masiga, C. W., Van Tassell, C. P., Reecy, J., Luikart, G., Sikosana, J., Anila, H., Petrit, D., Roswitha, B., Philippe, B., Aziz, F., Christos, P., El-Barody, M. A. A., Pierre, T., Phillip, E., Gordon, L., Albano, B. -P., Stephanie, Z., Michel, T., Georg, E., Horst, B., Eveline, I. -A., Luhken, G., Krugmann, D., Eva-Maria, P., Shirin, L., Katja, G., Christina, P., Jutta, R., Marco, B., Andreas, G., Al Tarrayrah, J., Georgios, K., Olga, K., Katerina, K., Christina, L., Anton, I., Lazlo, F., Gabriele, C., Elisabetta, M., Marco, P., Antonello, C., Tiziana, S., Mario, C., Francesca, F., Stefano, G., Marta, M., Bordonaro, S., Giuseppe, D. U., Fabio, P., Mariasilvia, D. A., Alessio, V., Irene, C., Lorraine, P., Mahamoud, A. -S., Van Cann, L. M., Roman, N., Popielarczyk, D., Ewa, S., Augustin, V., Susana, D., Javier, C., Oscar, C., David, G., Regis, C., Gabriela, O. -R., Glowatzki, M. -L., Okan, E., Inci, T., Evren, K., Mike, B., Trinidad, P., Gabriela, J., Godfrey, H., Stella, D., Louise, W., Martin, T., Sam, J., and Riccardo, S.

Subjects
haplogroup, introgresija, domestication, goat, introgression, migration, phylogeography, Y-chromosome, Evolution, MITOCHONDRIAL-DNA, FLOW, Haplotypes/genetics, divje koze, DNA, Mitochondrial, DNA, Mitochondrial/genetics, Behavior and Systematics, BREEDS, Y Chromosome, Goats/genetics, Genetics, Animals, domače koze, Ecology, Evolution, Behavior and Systematics, Phylogeny, udc:575:636.39, kozorogi, Ecology, 630 Agriculture, Goats, Genetic Variation, NETWORKS, DIFFERENTIATION, genetika, Haplotypes, ORIGINS, GENETIC DIVERSITY, 590 Animals (Zoology), 570 Life sciences, biology, Y Chromosome/genetics
Abstract

By their paternal transmission, Y-chromosomal haplotypes are sensitive markers of population history and male-mediated introgression. Previous studies identified biallelic single-nucleotide variants in the SRY, ZFY and DDX3Y genes, which in domestic goats identified four major Y-chromosomal haplotypes, Y1A, Y1B, Y2A and Y2B, with a marked geographical partitioning. Here, we extracted goat Y-chromosomal variants from whole-genome sequences of 386 domestic goats (75 breeds) and seven wild goat species, which were generated by the VarGoats goat genome project. Phylogenetic analyses indicated domestic haplogroups corresponding to Y1B, Y2A and Y2B, respectively, whereas Y1A is split into Y1AA and Y1AB. All five haplogroups were detected in 26 ancient DNA samples from southeast Europe or Asia. Haplotypes from present-day bezoars are not shared with domestic goats and are attached to deep nodes of the trees and networks. Haplogroup distributions for 186 domestic breeds indicate ancient paternal population bottlenecks and expansions during migrations into northern Europe, eastern and southern Asia, and Africa south of the Sahara. In addition, sharing of haplogroups indicates male-mediated introgressions, most notably an early gene flow from Asian goats into Madagascar and the crossbreeding that in the 19th century resulted in the popular Boer and Anglo-Nubian breeds. More recent introgressions are those from European goats into the native Korean goat population and from Boer goat into Uganda, Kenya, Tanzania, Malawi and Zimbabwe. This study illustrates the power of the Y-chromosomal variants for reconstructing the history of domestic species with a wide geographical range.

Published
2022

19. ECMO for COVID-19 patients in Europe and Israel

Author

Lorusso, R, Combes, A, Coco, V, De Piero, M, Belohlavek, J, Delnoij, T, van der Horst, I, Miranda, D, van der Linden, M, van der Heijden, J, Scholten, E, van Belle-van Haren, N, Lagrand, W, de Jong, S, Candura, D, Maas, J, van den Berg, M, Malfertheiner, M, Dreier, E, Mueller, T, Boeken, U, Akhyari, P, Lichtenberg, A, Saeed, D, Thiele, H, Baumgaertel, M, Schmitto, J, Mariani, S, Thielmann, M, Brenner, T, Benk, C, Czerny, M, Kalbhenn, J, Maier, S, Schibilsky, D, Staudacher, D, Henn, P, Iuliu, T, Muellenbach, R, Reyher, C, Rolfes, C, Zacharowski, K, Lotz, G, Sonntagbauer, M, Kersten, A, Karagiannidis, C, Schafer, S, Fichte, J, Hopf, H, Samalavicius, R, Lorini, L, Ghitti, D, Grazioli, L, Loforte, A, Baiocchi, M, Checco, E, Pacini, D, Meani, P, Cappai, A, Russo, C, Bottiroli, M, Mondino, M, Ranucci, M, Fina, D, Ballotta, A, Scandroglio, A, Zangrillo, A, Pieri, M, Nardelli, P, Fominskiy, E, Landoni, G, Fanelli, V, Brazzi, L, Montrucchio, G, Sales, G, Simonetti, U, Urbino, R, Livigni, S, Degani, A, Raffa, G, Pilato, M, Martucci, G, Arcadipane, A, Chiarini, G, Latronico, N, Cattaneo, S, Puglia, C, Reina, G, Sponga, S, Livi, U, Foti, G, Giani, M, Rona, R, Avalli, L, Bombino, M, Costa, M, Carozza, R, Donati, A, Piciche, M, Favaro, A, Salvador, L, Danzi, V, Zanin, A, Condello, I, Fiore, F, Moscarelli, M, Nasso, G, Speziale, G, Sandrelli, L, Montalto, A, Musumeci, F, Circelli, A, Gamberini, E, Russo, E, Benni, M, Agnoletti, V, Rociola, R, Milano, A, Grasso, S, Civita, A, Murgolo, F, Pilato, E, Comentale, G, Montisci, A, Alessandri, F, Tosi, A, Pugliese, F, Carelli, S, Grieco, D, Antonelli, M, Ramoni, E, Di Nardo, M, Maisano, F, Bettex, D, Weber, A, Grunenfelder, J, Consiglio, J, Hansjoerg, J, Haenggi, M, Agus, G, Doeble, T, Zenklusen, U, Bechtold, X, Stockman, B, De Backer, D, Giglioli, S, Meyns, B, Vercaemst, L, Herman, G, Meersseman, P, Vandenbriele, C, Dauwe, D, Vlasselaers, D, Raes, M, Debeuckelaere, G, Rodrigus, I, Biston, P, Piagnerelli, M, Peperstraete, H, Germay, O, Vandewiele, K, Vandeweghe, D, Witters, I, Havrin, S, Bourgeois, M, Taccone, F, Nobile, L, Lheureux, O, Brasseur, A, Creteur, J, Defraigne, J, Misset, B, Courcelle, R, Timmermans, P, Lehaen, J, Frederik, B, Riera, J, Castro, M, Gallart, E, Martinez-Martinez, M, Argudo, E, Garcia-de-Acilu, M, de Pablo Sanchez, R, Ortiz, A, Cabanes, M, Higa, K, Cassina, A, Berbel, D, Sanchez-Salado, J, Arnau, B, de Gopegui, P, Ricart, P, Sandoval, E, Veganzones, J, Millan, P, de la Sota, P, Santa Teresa, P, Alcantara, S, Alvarez, J, Gonzalez, A, Lopez, M, Gordillo, A, Naranjo-Izurieta, J, Costa, R, Albacete Moreno, C, de Ayala, J, Blanco-Schweizer, P, Andres, N, Boado, V, Martinez, J, Casal, V, Garcia, E, Martin-Villen, L, Climent, J, Pinto, L, Leprince, P, Lebreton, G, Juvin, C, Schmidt, M, Pineton, M, Folliguet, T, Saiydoun, G, Gaudard, P, Colson, P, Obadia, J, Pozzi, M, Fellahi, J, Yonis, H, Richard, J, Parasido, A, Verhoye, J, Flecher, E, Ajrhourh, L, Nesseler, N, Mansour, A, Guinot, P, Zarka, J, Besserve, P, Makhoul, M, Bolotin, G, Kassif, Y, Soufleris, D, Schellongowski, P, Bonaros, N, Krapf, C, Ebert, K, Mair, P, Kothleutner, F, Kowalewsky, M, Christensen, S, Pedersen, F, Balik, M, Blaha, J, Lips, M, Otahal, M, Camporota, L, Daly, K, Agnew, N, Barker, J, Head, L, Garcia, M, Ledot, S, Aquino, V, Lewis, R, Worthy, J, Noor, H, Scott, I, O'Brien, S, Conrick-Martin, I, Carton, E, Gillon, S, Flemming, L, Broman, L, Grins, E, Ketskalo, M, Tsarenko, S, Popugaev, K, Minin, S, Kornilov, I, Skopets, A, Kornelyuk, R, Turchaninov, A, Gorjup, V, Shelukhin, D, Dsouki, Y, Sargin, M, Kaygin, M, Liana, S, Puss, S, Soerensen, G, Magnus, R, Kanetoft, M, Watson, P, Redfors, B, Krenner, N, Velia Antonini, M, Barrett, N, Belliato, M, Davidson, M, Finney, S, Fowles, J, Halbe, M, Hennig, F, Jones, T, Smith, J, Roeleveld, P, Swol, J, Lorusso R., Combes A., Coco V. L., De Piero M. E., Belohlavek J., Delnoij T., van der Horst I., Miranda D. R., van der Linden M., van der Heijden J. J., Scholten E., van Belle-van Haren N., Lagrand W., de Jong S., Candura D., Maas J., van den Berg M. J. G., Malfertheiner M., Dreier E., Mueller T., Boeken U., Akhyari P., Lichtenberg A., Saeed D., Thiele H., Baumgaertel M., Schmitto J. D., Mariani S., Thielmann M., Brenner T., Benk C., Czerny M., Kalbhenn J., Maier S., Schibilsky D., Staudacher D. L., Henn P., Iuliu T., Muellenbach R., Reyher C., Rolfes C., Zacharowski K., Lotz G., Sonntagbauer M., Kersten A., Karagiannidis C., Schafer S., Fichte J., Hopf H. -B., Samalavicius R., Lorini L., Ghitti D., Grazioli L., Loforte A., Baiocchi M., Checco E. D., Pacini D., Meani P., Cappai A., Russo C. F., Bottiroli M., Mondino M., Ranucci M., Fina D., Ballotta A., Scandroglio A. M., Zangrillo A., Pieri M., Nardelli P., Fominskiy E., Landoni G., Fanelli V., Brazzi L., Montrucchio G., Sales G., Simonetti U., Urbino R., Livigni S., Degani A., Raffa G., Pilato M., Martucci G., Arcadipane A., Chiarini G., Latronico N., Cattaneo S., Puglia C., Reina G., Sponga S., Livi U., Foti G., Giani M., Rona R., Avalli L., Bombino M., Costa M. C., Carozza R., Donati A., Piciche M., Favaro A., Salvador L., Danzi V., Zanin A., Condello I., Fiore F., Moscarelli M., Nasso G., Speziale G., Sandrelli L., Montalto A., Musumeci F., Circelli A., Gamberini E., Russo E., Benni M., Agnoletti V., Rociola R., Milano A. D., Grasso S., Civita A., Murgolo F., Pilato E., Comentale G., Montisci A., Alessandri F., Tosi A., Pugliese F., Carelli S., Grieco D. L., Antonelli M., Ramoni E., Di Nardo M., Maisano F., Bettex D., Weber A., Grunenfelder J., Consiglio J., Hansjoerg J., Haenggi M., Agus G., Doeble T., Zenklusen U., Bechtold X., Stockman B., De Backer D., Giglioli S., Meyns B., Vercaemst L., Herman G., Meersseman P., Vandenbriele C., Dauwe D., Vlasselaers D., Raes M., Debeuckelaere G., Rodrigus I., Biston P., Piagnerelli M., Peperstraete H., Germay O., Vandewiele K., Vandeweghe D., Witters I., Havrin S., Bourgeois M., Taccone F. S., Nobile L., Lheureux O., Brasseur A., Creteur J., Defraigne J. -O., Misset B., Courcelle R., Timmermans P. J., Lehaen J., Frederik B., Riera J., Castro M. A., Gallart E., Martinez-Martinez M., Argudo E., Garcia-de-Acilu M., de Pablo Sanchez R., Ortiz A. B., Cabanes M. -P. F., Higa K. O., Cassina A. M., Berbel D. O., Sanchez-Salado J. C., Arnau B. -L., de Gopegui P. R., Ricart P., Sandoval E., Veganzones J., Millan P., de la Sota P., Santa Teresa P., Alcantara S., Alvarez J. D., Gonzalez A. V., Lopez M., Gordillo A., Naranjo-Izurieta J., Costa R. G., Albacete Moreno C. L., de Ayala J. A., Blanco-Schweizer P., Andres N. H., Boado V., Martinez J. M. N., Casal V. G., Garcia E. F., Martin-Villen L., Climent J. C., Pinto L. F., Leprince P., Lebreton G., Juvin C., Schmidt M., Pineton M., Folliguet T., Saiydoun G., Gaudard P., Colson P., Obadia J. -F., Pozzi M., Fellahi J. L., Yonis H., Richard J. C., Parasido A., Verhoye J. -P., Flecher E., Ajrhourh L., Nesseler N., Mansour A., Guinot P. -G., Zarka J., Besserve P., Makhoul M., Bolotin G., Kassif Y., Soufleris D., Schellongowski P., Bonaros N., Krapf C., Ebert K., Mair P., Kothleutner F., Kowalewsky M., Christensen S., Pedersen F. M., Balik M., Blaha J., Lips M., Otahal M., Camporota L., Daly K., Agnew N., Barker J., Head L., Garcia M., Ledot S., Aquino V., Lewis R., Worthy J., Noor H., Scott I., O'Brien S., Conrick-Martin I., Carton E., Gillon S., Flemming L., Broman L. M., Grins E., Ketskalo M., Tsarenko S., Popugaev K., Minin S., Kornilov I., Skopets A., Kornelyuk R., Turchaninov A., Gorjup V., Shelukhin D., Dsouki Y. E., Sargin M., Kaygin M. A., Liana S., Puss S., Soerensen G., Magnus R., Kanetoft M., Watson P., Redfors B., Krenner N., Velia Antonini M., Barrett N. A., Belliato M., Davidson M., Finney S., Fowles J. -A., Halbe M., Hennig F., Jones T., Pinto L., Smith J., Roeleveld P., Swol J., Lorusso, R, Combes, A, Coco, V, De Piero, M, Belohlavek, J, Delnoij, T, van der Horst, I, Miranda, D, van der Linden, M, van der Heijden, J, Scholten, E, van Belle-van Haren, N, Lagrand, W, de Jong, S, Candura, D, Maas, J, van den Berg, M, Malfertheiner, M, Dreier, E, Mueller, T, Boeken, U, Akhyari, P, Lichtenberg, A, Saeed, D, Thiele, H, Baumgaertel, M, Schmitto, J, Mariani, S, Thielmann, M, Brenner, T, Benk, C, Czerny, M, Kalbhenn, J, Maier, S, Schibilsky, D, Staudacher, D, Henn, P, Iuliu, T, Muellenbach, R, Reyher, C, Rolfes, C, Zacharowski, K, Lotz, G, Sonntagbauer, M, Kersten, A, Karagiannidis, C, Schafer, S, Fichte, J, Hopf, H, Samalavicius, R, Lorini, L, Ghitti, D, Grazioli, L, Loforte, A, Baiocchi, M, Checco, E, Pacini, D, Meani, P, Cappai, A, Russo, C, Bottiroli, M, Mondino, M, Ranucci, M, Fina, D, Ballotta, A, Scandroglio, A, Zangrillo, A, Pieri, M, Nardelli, P, Fominskiy, E, Landoni, G, Fanelli, V, Brazzi, L, Montrucchio, G, Sales, G, Simonetti, U, Urbino, R, Livigni, S, Degani, A, Raffa, G, Pilato, M, Martucci, G, Arcadipane, A, Chiarini, G, Latronico, N, Cattaneo, S, Puglia, C, Reina, G, Sponga, S, Livi, U, Foti, G, Giani, M, Rona, R, Avalli, L, Bombino, M, Costa, M, Carozza, R, Donati, A, Piciche, M, Favaro, A, Salvador, L, Danzi, V, Zanin, A, Condello, I, Fiore, F, Moscarelli, M, Nasso, G, Speziale, G, Sandrelli, L, Montalto, A, Musumeci, F, Circelli, A, Gamberini, E, Russo, E, Benni, M, Agnoletti, V, Rociola, R, Milano, A, Grasso, S, Civita, A, Murgolo, F, Pilato, E, Comentale, G, Montisci, A, Alessandri, F, Tosi, A, Pugliese, F, Carelli, S, Grieco, D, Antonelli, M, Ramoni, E, Di Nardo, M, Maisano, F, Bettex, D, Weber, A, Grunenfelder, J, Consiglio, J, Hansjoerg, J, Haenggi, M, Agus, G, Doeble, T, Zenklusen, U, Bechtold, X, Stockman, B, De Backer, D, Giglioli, S, Meyns, B, Vercaemst, L, Herman, G, Meersseman, P, Vandenbriele, C, Dauwe, D, Vlasselaers, D, Raes, M, Debeuckelaere, G, Rodrigus, I, Biston, P, Piagnerelli, M, Peperstraete, H, Germay, O, Vandewiele, K, Vandeweghe, D, Witters, I, Havrin, S, Bourgeois, M, Taccone, F, Nobile, L, Lheureux, O, Brasseur, A, Creteur, J, Defraigne, J, Misset, B, Courcelle, R, Timmermans, P, Lehaen, J, Frederik, B, Riera, J, Castro, M, Gallart, E, Martinez-Martinez, M, Argudo, E, Garcia-de-Acilu, M, de Pablo Sanchez, R, Ortiz, A, Cabanes, M, Higa, K, Cassina, A, Berbel, D, Sanchez-Salado, J, Arnau, B, de Gopegui, P, Ricart, P, Sandoval, E, Veganzones, J, Millan, P, de la Sota, P, Santa Teresa, P, Alcantara, S, Alvarez, J, Gonzalez, A, Lopez, M, Gordillo, A, Naranjo-Izurieta, J, Costa, R, Albacete Moreno, C, de Ayala, J, Blanco-Schweizer, P, Andres, N, Boado, V, Martinez, J, Casal, V, Garcia, E, Martin-Villen, L, Climent, J, Pinto, L, Leprince, P, Lebreton, G, Juvin, C, Schmidt, M, Pineton, M, Folliguet, T, Saiydoun, G, Gaudard, P, Colson, P, Obadia, J, Pozzi, M, Fellahi, J, Yonis, H, Richard, J, Parasido, A, Verhoye, J, Flecher, E, Ajrhourh, L, Nesseler, N, Mansour, A, Guinot, P, Zarka, J, Besserve, P, Makhoul, M, Bolotin, G, Kassif, Y, Soufleris, D, Schellongowski, P, Bonaros, N, Krapf, C, Ebert, K, Mair, P, Kothleutner, F, Kowalewsky, M, Christensen, S, Pedersen, F, Balik, M, Blaha, J, Lips, M, Otahal, M, Camporota, L, Daly, K, Agnew, N, Barker, J, Head, L, Garcia, M, Ledot, S, Aquino, V, Lewis, R, Worthy, J, Noor, H, Scott, I, O'Brien, S, Conrick-Martin, I, Carton, E, Gillon, S, Flemming, L, Broman, L, Grins, E, Ketskalo, M, Tsarenko, S, Popugaev, K, Minin, S, Kornilov, I, Skopets, A, Kornelyuk, R, Turchaninov, A, Gorjup, V, Shelukhin, D, Dsouki, Y, Sargin, M, Kaygin, M, Liana, S, Puss, S, Soerensen, G, Magnus, R, Kanetoft, M, Watson, P, Redfors, B, Krenner, N, Velia Antonini, M, Barrett, N, Belliato, M, Davidson, M, Finney, S, Fowles, J, Halbe, M, Hennig, F, Jones, T, Smith, J, Roeleveld, P, Swol, J, Lorusso R., Combes A., Coco V. L., De Piero M. E., Belohlavek J., Delnoij T., van der Horst I., Miranda D. R., van der Linden M., van der Heijden J. J., Scholten E., van Belle-van Haren N., Lagrand W., de Jong S., Candura D., Maas J., van den Berg M. J. G., Malfertheiner M., Dreier E., Mueller T., Boeken U., Akhyari P., Lichtenberg A., Saeed D., Thiele H., Baumgaertel M., Schmitto J. D., Mariani S., Thielmann M., Brenner T., Benk C., Czerny M., Kalbhenn J., Maier S., Schibilsky D., Staudacher D. L., Henn P., Iuliu T., Muellenbach R., Reyher C., Rolfes C., Zacharowski K., Lotz G., Sonntagbauer M., Kersten A., Karagiannidis C., Schafer S., Fichte J., Hopf H. -B., Samalavicius R., Lorini L., Ghitti D., Grazioli L., Loforte A., Baiocchi M., Checco E. D., Pacini D., Meani P., Cappai A., Russo C. F., Bottiroli M., Mondino M., Ranucci M., Fina D., Ballotta A., Scandroglio A. M., Zangrillo A., Pieri M., Nardelli P., Fominskiy E., Landoni G., Fanelli V., Brazzi L., Montrucchio G., Sales G., Simonetti U., Urbino R., Livigni S., Degani A., Raffa G., Pilato M., Martucci G., Arcadipane A., Chiarini G., Latronico N., Cattaneo S., Puglia C., Reina G., Sponga S., Livi U., Foti G., Giani M., Rona R., Avalli L., Bombino M., Costa M. C., Carozza R., Donati A., Piciche M., Favaro A., Salvador L., Danzi V., Zanin A., Condello I., Fiore F., Moscarelli M., Nasso G., Speziale G., Sandrelli L., Montalto A., Musumeci F., Circelli A., Gamberini E., Russo E., Benni M., Agnoletti V., Rociola R., Milano A. D., Grasso S., Civita A., Murgolo F., Pilato E., Comentale G., Montisci A., Alessandri F., Tosi A., Pugliese F., Carelli S., Grieco D. L., Antonelli M., Ramoni E., Di Nardo M., Maisano F., Bettex D., Weber A., Grunenfelder J., Consiglio J., Hansjoerg J., Haenggi M., Agus G., Doeble T., Zenklusen U., Bechtold X., Stockman B., De Backer D., Giglioli S., Meyns B., Vercaemst L., Herman G., Meersseman P., Vandenbriele C., Dauwe D., Vlasselaers D., Raes M., Debeuckelaere G., Rodrigus I., Biston P., Piagnerelli M., Peperstraete H., Germay O., Vandewiele K., Vandeweghe D., Witters I., Havrin S., Bourgeois M., Taccone F. S., Nobile L., Lheureux O., Brasseur A., Creteur J., Defraigne J. -O., Misset B., Courcelle R., Timmermans P. J., Lehaen J., Frederik B., Riera J., Castro M. A., Gallart E., Martinez-Martinez M., Argudo E., Garcia-de-Acilu M., de Pablo Sanchez R., Ortiz A. B., Cabanes M. -P. F., Higa K. O., Cassina A. M., Berbel D. O., Sanchez-Salado J. C., Arnau B. -L., de Gopegui P. R., Ricart P., Sandoval E., Veganzones J., Millan P., de la Sota P., Santa Teresa P., Alcantara S., Alvarez J. D., Gonzalez A. V., Lopez M., Gordillo A., Naranjo-Izurieta J., Costa R. G., Albacete Moreno C. L., de Ayala J. A., Blanco-Schweizer P., Andres N. H., Boado V., Martinez J. M. N., Casal V. G., Garcia E. F., Martin-Villen L., Climent J. C., Pinto L. F., Leprince P., Lebreton G., Juvin C., Schmidt M., Pineton M., Folliguet T., Saiydoun G., Gaudard P., Colson P., Obadia J. -F., Pozzi M., Fellahi J. L., Yonis H., Richard J. C., Parasido A., Verhoye J. -P., Flecher E., Ajrhourh L., Nesseler N., Mansour A., Guinot P. -G., Zarka J., Besserve P., Makhoul M., Bolotin G., Kassif Y., Soufleris D., Schellongowski P., Bonaros N., Krapf C., Ebert K., Mair P., Kothleutner F., Kowalewsky M., Christensen S., Pedersen F. M., Balik M., Blaha J., Lips M., Otahal M., Camporota L., Daly K., Agnew N., Barker J., Head L., Garcia M., Ledot S., Aquino V., Lewis R., Worthy J., Noor H., Scott I., O'Brien S., Conrick-Martin I., Carton E., Gillon S., Flemming L., Broman L. M., Grins E., Ketskalo M., Tsarenko S., Popugaev K., Minin S., Kornilov I., Skopets A., Kornelyuk R., Turchaninov A., Gorjup V., Shelukhin D., Dsouki Y. E., Sargin M., Kaygin M. A., Liana S., Puss S., Soerensen G., Magnus R., Kanetoft M., Watson P., Redfors B., Krenner N., Velia Antonini M., Barrett N. A., Belliato M., Davidson M., Finney S., Fowles J. -A., Halbe M., Hennig F., Jones T., Pinto L., Smith J., Roeleveld P., and Swol J.

Published
2021

20. Characterizing neural coding performance for populations of sensory neurons: comparing a weighted spike distance metrics to other analytical methods.

Author

Marsat, G., Daly, K. C., and Drew, J. A.

Subjects
NEURAL codes, SENSORY neurons, ARTIFICIAL neural networks, DATA mining, MACHINE learning
Abstract

The identity of sensory stimuli is encoded in the spatio-temporal patterns of responses of the encoding neural population. For stimuli to be discriminated reliably, differences in population responses must be accurately decoded by downstream networks. Several methods to compare patterns of responses have been used by neurophysiologists to characterize the accuracy of the sensory responses studied. Among the most widely used analyses, we note methods based on Euclidean distances or on spike metric distances. Methods based on artificial neural networks and machine learning that recognize and/or classify specific input patterns have also gained popularity. Here, we first compare these three strategies using datasets from three different model systems: the moth olfactory system, the electrosensory system of gymnotids, and leaky-integrate-and-fire (LIF) model responses. We show that the input-weighting procedure inherent to artificial neural networks allows the efficient extraction of information relevant to stimulus discrimination. To combine the convenience of methods such as spike metric distances but leverage the advantages of weighting the inputs, we propose a measure based on geometric distances where each dimension is weighted proportionally to how informative it is. We show that the result of this Weighted Euclidian Distance (WED) analysis performs as well or better than the artificial neural network we tested and outperforms the more traditional spike distance metrics. We applied information theoretic analysis to LIF responses and compared their encoding accuracy with the discrimination accuracy quantified through this WED analysis. We show a high degree of correlation between discrimination accuracy and information content, and that our weighting procedure allowed the efficient use of information present to perform the discrimination task. We argue that our proposed measure provides the flexibility and ease of use sought by neurophysiologists while providing a more powerful way to extract relevant information than more traditional methods. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Status, Change, and Futures of Zooplankton in the Southern Ocean

Author

Johnston, Nadine M., Murphy, Eugene J., Atkinson, A., Constable, Andrew J., Cotte, C., Daly, K. L., Driscoll, Ryan, Flores, Hauke, Halfter, Svenja, Henschke, Natasha, Hill, S.L., Höfer, Juan, Hunt, Brian P. V., Kawaguchi, So, Lindsay, Dhugal, Liszka, Cecilia, Loeb, V., Manno, C., Meyer, Bettina, Pakhomov, E. A., Pinkerton, Matthew H., Reiss, Christian S., Richerson, Kate, Smith, Walker O. Jr., Steinberg, Deborah K., Swadling, Kerrie M., Tarling, Geraint A., Thorpe, Sally E., Veytia, Devi, Ward, Peter, Weldrick, C. K., Yang, Guang, Johnston, Nadine M., Murphy, Eugene J., Atkinson, A., Constable, Andrew J., Cotte, C., Daly, K. L., Driscoll, Ryan, Flores, Hauke, Halfter, Svenja, Henschke, Natasha, Hill, S.L., Höfer, Juan, Hunt, Brian P. V., Kawaguchi, So, Lindsay, Dhugal, Liszka, Cecilia, Loeb, V., Manno, C., Meyer, Bettina, Pakhomov, E. A., Pinkerton, Matthew H., Reiss, Christian S., Richerson, Kate, Smith, Walker O. Jr., Steinberg, Deborah K., Swadling, Kerrie M., Tarling, Geraint A., Thorpe, Sally E., Veytia, Devi, Ward, Peter, Weldrick, C. K., and Yang, Guang

Abstract

In the Southern Ocean, several zooplankton taxonomic groups, euphausiids, copepods, salps and pteropods, are notable because of their biomass and abundance and their roles in maintaining food webs and ecosystem structure and function, including the provision of globally important ecosystem services. These groups are consumers of microbes, primary and secondary producers, and are prey for fishes, cephalopods, seabirds, and marine mammals. In providing the link between microbes, primary production, and higher trophic levels these taxa influence energy flows, biological production and biomass, biogeochemical cycles, carbon flux and food web interactions thereby modulating the structure and functioning of ecosystems. Additionally, Antarctic krill (Euphausia superba) and various fish species are harvested by international fisheries. Global and local drivers of change are expected to affect the dynamics of key zooplankton species, which may have potentially profound and wide-ranging implications for Southern Ocean ecosystems and the services they provide. Here we assess the current understanding of the dominant metazoan zooplankton within the Southern Ocean, including Antarctic krill and other key euphausiid, copepod, salp and pteropod species. We provide an overview of observed and potential future responses of these taxa to a changing Southern Ocean and the functional relationships by which drivers may impact them. To support future ecosystem assessments and conservation and management strategies, we also identify priorities for Southern Ocean zooplankton research.

Published
2022

23. eLearning significantly improves maternity professionals' knowledge of the congenital cytomegalovirus prevention guidelines

Author

Smithers-Sheedy, H, Swinburn, K, Waight, E, King, R, Hui, L, Jones, CA, Daly, K, Rawlinson, W, Mcintyre, S, Webb, A, Badawi, N, Bowen, A, Britton, PN, Palasanthiran, P, Lainchbury, A, Shand, A, Smithers-Sheedy, H, Swinburn, K, Waight, E, King, R, Hui, L, Jones, CA, Daly, K, Rawlinson, W, Mcintyre, S, Webb, A, Badawi, N, Bowen, A, Britton, PN, Palasanthiran, P, Lainchbury, A, and Shand, A

Abstract

AIMS: Cytomegalovirus (CMV) is a preventable cause of neurodevelopmental disability. Australian guidelines recommend that pregnant women are informed about CMV to reduce their risk of infection; however, less than 10% of maternity health professionals routinely provide prevention advice. The aim was to develop and evaluate the effectiveness of an eLearning course for midwives to improve knowledge and confidence about CMV. MATERIALS AND METHODS: Participants undertaking the course between March and November 2020 were invited to complete an evaluation questionnaire: before the course (T1), immediately after (T2) and three months post completion (T3). A linear mixed model was used to evaluate change in participant scores; P < 0.05 was considered statistically significant. RESULTS: Midwives (316/363, 87%), midwifery students (29/363, 8%) and nurses (18/363, 5%) participated. At T1 80% indicated they had not received education about CMV. Total adjusted mean scores for questionnaires completed between T1 (n = 363) and T2 (n = 238) increased significantly (from 17.2 to 22.8, P < 0.001). Limited available T3 scores (n = 27) (-1.7, P < 0.001), while lower than T2, remained higher than at T1 (+3.6, P < 0.001). Participants' awareness of CMV information resources improved from 10 to 97% from T1 to T2. Confidence in providing CMV advice increased from 6 to 95% between T1 and T2 (P < 0.001) and was maintained at T3. Almost all (99%) participants indicated they would recommend the course to colleagues. CONCLUSION: Participants who completed the eLearning course had significantly improved knowledge and confidence in providing advice about CMV. Programs targeting other maternity health professionals should be considered, to further support the implementation of the congenital CMV prevention guidelines.

Published
2022

36. Modern Siberian Dog Ancestry was Shaped by Several Thousand Years of Eurasian-Wide Trade and Human Dispersal

Author

Feuerborn, T. R., Carmagnini, A., Losey, R. J., Nomokonova, T., Askeyev, A., Askeyev, I., Askeyev, O., Antipina, E. E., Appelt, M., Bachura, O. P., Beglane, F., Bradley, D. G., Daly, K. G., Gopalakrishnan, S., Gregersen, K. M., Guo, C., Gusev, A. V., Jones, C., Kosintsev, P. A., Kuzmin, Y. V., Mattiangeli, V., Perri, A. R., Plekhanov, A. V., Ramos-Madrigal, J., Schmidt, A. L., Shaymuratova, D., Smith, O., Yavorskaya, L. V., Zhang, G., Willerslev, E., Meldgaard, M., Gilbert, M. T. P., Larson, G., Dalén, L., Hansen, A. J., Sinding, M. -H. S., Frantz, L., Feuerborn, T. R., Carmagnini, A., Losey, R. J., Nomokonova, T., Askeyev, A., Askeyev, I., Askeyev, O., Antipina, E. E., Appelt, M., Bachura, O. P., Beglane, F., Bradley, D. G., Daly, K. G., Gopalakrishnan, S., Gregersen, K. M., Guo, C., Gusev, A. V., Jones, C., Kosintsev, P. A., Kuzmin, Y. V., Mattiangeli, V., Perri, A. R., Plekhanov, A. V., Ramos-Madrigal, J., Schmidt, A. L., Shaymuratova, D., Smith, O., Yavorskaya, L. V., Zhang, G., Willerslev, E., Meldgaard, M., Gilbert, M. T. P., Larson, G., Dalén, L., Hansen, A. J., Sinding, M. -H. S., and Frantz, L.

Abstract

Dogs have been essential to life in the Siberian Arctic for over 9,500 y, and this tight link between people and dogs continues in Siberian communities. Although Arctic Siberian groups such as the Nenets received limited gene flow from neighboring groups, archaeological evidence suggests that metallurgy and new subsistence strategies emerged in Northwest Siberia around 2,000 y ago. It is unclear if the Siberian Arctic dog population was as continuous as the people of the region or if instead admixture occurred, possibly in relation to the influx of material culture from other parts of Eurasia. To address this question, we sequenced and analyzed the genomes of 20 ancient and historical Siberian and Eurasian Steppe dogs. Our analyses indicate that while Siberian dogs were genetically homogenous between 9,500 to 7,000 y ago, later introduction of dogs from the Eurasian Steppe and Europe led to substantial admixture. This is clearly the case in the Iamal-Nenets region (Northwestern Siberia) where dogs from the Iron Age period (∼2,000 y ago) possess substantially less ancestry related to European and Steppe dogs than dogs from the medieval period (∼1,000 y ago). Combined with findings of nonlocal materials recovered from these archaeological sites, including glass beads and metal items, these results indicate that Northwest Siberian communities were connected to a larger trade network through which they acquired genetically distinctive dogs from other regions. These exchanges were part of a series of major societal changes, including the rise of large-scale reindeer pastoralism ∼800 y ago. © 2021 National Academy of Sciences. All rights reserved.

Published
2021

37. Proximal seminal vesicle displacement and margins for prostate cancer radiotherapy

Author

Lim Joon, D, Chao, M, Piccolo, A, Schneider, M, Anderson, N, Handley, M, Benci, M, Ong, WL, Daly, K, Morrell, R, Wan, K, Lawrentschuk, N, Foroudi, F, Jenkins, T, Angus, D, Wada, M, Sengupta, S, Khoo, V, Lim Joon, D, Chao, M, Piccolo, A, Schneider, M, Anderson, N, Handley, M, Benci, M, Ong, WL, Daly, K, Morrell, R, Wan, K, Lawrentschuk, N, Foroudi, F, Jenkins, T, Angus, D, Wada, M, Sengupta, S, and Khoo, V

Abstract

INTRODUCTION: Guidelines recommend that the proximal seminal vesicles (PrSV) should be included in the clinical target volume for locally advanced prostate cancer patients undergoing radiotherapy. Verification and margins for the prostate may not necessarily account for PrSV displacement. The purpose was to determine the inter-fraction displacement of the PrSV relative to the prostate during radiotherapy. METHODS: Fiducials were inserted into the prostate, and right and left PrSV (RSV and LSV) in 30 prostate cancer patients. Correctional shifts for the prostate, right and left PrSV and pelvic bones were determined from each patient's 39 daily orthogonal portal images relative to reference digitally reconstructed radiographs. RESULTS: There was a significant displacement of the RSV relative to the prostate in all directions: on average 0.38 mm (95% confidence interval (CI) 0.26 to 0.50) to the left, 0.80-0.81 mm (CI 0.68 to 0.93) superiorly and 1.51 mm (CI 1.36 to 1.65) posteriorly. The LSV was significantly displaced superiorly to the prostate 1.09-1.13 mm (CI 0.97 to 1.25) and posteriorly 1.81 mm (CI 1.67 to 1.96), but not laterally (mean 0.06, CI -0.06 to 0.18). The calculated PTV margins (left-right, superior-inferior, posterior-anterior) were 4.9, 5.3-5.6 and 4.8 mm for the prostate, 5.2, 7.1-8.0 and 9.7 mm for the RSV, and 7.2, 7.5-7.6 and 8.6 mm for the LSV. CONCLUSION: There is a significant displacement of the PrSV relative to the prostate during radiotherapy. Greater margins are recommended for the PrSV compared to the prostate.

Published
2021

38. Modern Siberian dog ancestry was shaped by several thousand years of Eurasian-wide trade and human dispersal

Author

Feuerborn, T R, Carmagnini, A, Losey, R J, Nomokonova, T, Askeyev, A, Askeyev, I, Askeyev, O, Antipina, E E, Appelt, M, Bachura, O P, Beglane, F, Bradley, D G, Daly, K G, Gopalakrishnan, S, Gregersen, K M, Guo, C X, Gusev, A V, Jones, C, Kosintsev, P A, Kuzmin, Y V, Mattiangeli, V, Perri, A R, Plekhanov, A V, Ramos-Madrigal, J, Schmidt, A L, Shaymuratova, D, Smith, O, Yavorskaya, L V, Zhang, G J, Willerslev, E, Meldgaard, M, Gilbert, M T P, Larson, G, Dalen, L, Hansen, A J, Sinding, M H S, Frantz, L, Feuerborn, T R, Carmagnini, A, Losey, R J, Nomokonova, T, Askeyev, A, Askeyev, I, Askeyev, O, Antipina, E E, Appelt, M, Bachura, O P, Beglane, F, Bradley, D G, Daly, K G, Gopalakrishnan, S, Gregersen, K M, Guo, C X, Gusev, A V, Jones, C, Kosintsev, P A, Kuzmin, Y V, Mattiangeli, V, Perri, A R, Plekhanov, A V, Ramos-Madrigal, J, Schmidt, A L, Shaymuratova, D, Smith, O, Yavorskaya, L V, Zhang, G J, Willerslev, E, Meldgaard, M, Gilbert, M T P, Larson, G, Dalen, L, Hansen, A J, Sinding, M H S, and Frantz, L

Published
2021
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39. INTERFERON-EPSILON PROMOTES SUSCEPTIBILITY TO INFLUENZA A AND ASSOCIATED DISEASE

Author

Mayall, J, Hsu, A, Horvat, J, Daly, K, Chevalier, A, Gomez, H, Deane, A, Haw, T, Brown, A, Liu, G, Dua, K, Starkey, M, Kim, R, Mangan, N, Wark, P, Hertzog, P, Hansbro, P, Mayall, J, Hsu, A, Horvat, J, Daly, K, Chevalier, A, Gomez, H, Deane, A, Haw, T, Brown, A, Liu, G, Dua, K, Starkey, M, Kim, R, Mangan, N, Wark, P, Hertzog, P, and Hansbro, P

Published
2021

41. Modifying effect of dual antiplatelet therapy on incidence of stent thrombosis according to implanted drug-eluting stent type

Author

Camenzind, Edoardo, Boersma, Eric, Wijns, William, Mauri, Laura, Rademaker-Havinga, Tessa, Ordoubadi, Farzin Fath, Suttorp, Maarten J., Al Kurdi, Mohammad, Steg, Ph Gabriel, Camenzind, E, Mauri, L, OʼNeill, W, Serruys, P W, Steg, PhG, Wijns, W, Verheugt, FWA, Bertrand, ME, Califf, R, DeMets, D, Wallentin, L, Bocksch, W, Bosmans, J, Garcia, H, Garg, S, Hanet, C, Herrman, J-PR, Kelbaek, H, Mc Fadden, E, Radke, PW, Rutsch, W, Tilsted, HH, Wykrzykowska, J, Alvarez, C, Rodriguez, A, Meredith, I, Muller, D, Whitbourn, R, Worthley, S, Whelan, A, Walters, D, Shetty, S, New, G, Cox, S, Batra, R, van Gaal, W, Bellamy, G, Mayr, H, Heigert, M, Huber, K, Leisch, F, Wijns, W, Desmet, W, Boland, J, Schroeder, E, Chenu, P, Legrand, V, Labinaz, M, Teefy, P, Bertrand, O, Gao, R, Ge, J, Kala, P, Cervinka, P, Ureña, P, Hartikainen, J, Steg, G, Fajadet, J, Carrie, D, Gilard, M, Barragan, P, Lablanche, J-M, Koning, R, Eltchaninoff, H, Darremont, O, Leroy, F, Bertrand, B, Robert, G, Schiele, F, Chassaing, S, Bressollette, E, Brunel, P, Quilliet, L, Brunet, J, Pansieri, M, Sideris, G, Stratiev, V, Teiger, E, Lebreton, H, Bonnet, J-L, Karsenty, B, Delarche, N, Lusson, J-R, Cassagnes, J, Brachmann, J, Kurowski, V, Buerke, M, Schieffer, B, Scholtz, W, Wiemer, M, Fichtlscherer, S, Schächinger, V, Kupatt, C, Boekstegers, P, Genth-Zotz, S, Bode, C, Frey, N, Neumann, F-J, Witzenbichler, B, Pels, K, Strasser, R, Kuck, K-H, Hauptmann, K-E, Baldus, S, Heitzer, T, Haude, M, Hoffmann, E, Jung, W, Hoffmann, S, Schmitt, C, Dissmann, M, Pauschinger, M, Werner, G, Braun-Delleus, R, Burkhardt, D, Manz, M, Voudris, V, Sionis, D, Kang-Yin, M-L, Tse, T-S, Merkely, B, Mehta, A, Parikh, K, Kumar, V, Chandra, P, Rath, P, Hiremath, S, Crean, P, Daly, K, Kornowski, R, Kerner, A, Mosseri, M, Jafari, G, Giudice, P, Trani, C, Manari, A, Prati, F, Pangrazi, A, Bolognese, L, Jeong, M-H, Kim, M-Y, Kim, H-S, Park, S-J, Erglis, A, Kalnins, A, Wagner, D, Zambahari, R, Ong, T-K, Sim, K, den Heijer, P, Appelman, Y, Suttorp, M-J, de Smet, B, Koolen, J, Stella, P, Harding, S, Warwick, J, Maslowski, A, Abernethy, M, Devlin, G, Rotevatn, S, Myreng, Y, Ciecwierz, D, Peruga, J, Reczuch, K, Campante Teles, R, Farto, P, Abreu, E, Leitão-Marques, A, Pereira, H, Vinereanu, D, Alkasab, S, Mhish, H, Al Kurdi, M, Al Turki, F, Wong, P, Teo, S-G, Goicolea Ruigomez, F-J, Valdés Chávarri, M, Bethencourt Gonzalez, A, Iñiguez Romo, A, López Minguez, J, Hernández García, J-M, Diaz Fernández, J, Ruiz Salmeron, R, Martinez Elbal, L, Zueco, J, López-Palop, RF, Melgares, R, Diderholm, E, Kåregren, A, Herterich, O, Olivencrona, G, Fröbert, O, Roffi, M, Verin, V, Girod, G, Vuilliomenet, A, Hsieh, I-C, Wu, C-J, Gershlick, A, Densem, C, Doshi, S, Manoharan, G, McCarthy, P, De Belder, M, Mills, J, Fath-Ordoubadi, F, Simpson, I, Greenwood, J, Chamberlain-Webber, R, Khan, Z, Cotton, J, Gunning, M, Smith, D, Talwar, S, Holmberg, S, Purcell, I, Anderson, R, Alamgir, F, Beatt, K, Kelly, P, Moussavian, M, Aji, J, Prashad, R, Zankar, A, Banerjee, S, Lewis, S, McLaurin, B, Douglas, J, Brener, S, Gupta, A, Walters, L, Driesman, M, Aycock, R, Mego, C, Fisher, D, Frankel, R, and Satler, L

Published
2014
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45. The origin of domestication genes in goats

Author

Zheng, Z., Wang, X., Li, M., Li, Y., Yang, Z., Pan, X., Gong, M., Zhang, Y., Guo, Y., Wang, Y., Liu, J., Cai, Y., Chen, Q., Okpeku, M., Colli, Licia, Cai, D., Wang, K., Huang, S., Sonstegard, T. S., Esmailizadeh, A., Zhang, W., Tingting, T., Xu, Y., Xu, N., Yang, Y., Han, J., Chen, L., Lesur, J., Daly, K. G., Bradley, D. G., Heller, R., Zhang, G., Wang, W., Chen, Y., Jiang, Y., Archéozoologie, archéobotanique : sociétés, pratiques et environnements (AASPE), and Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Introgression, Locus (genetics), Biology, Genome, domestication, 03 medical and health sciences, 0302 clinical medicine, whole-genome data, Genetics, Allele, Domestication, ancient DNA, Gene, Research Articles, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Multidisciplinary, Settore AGR/17 - ZOOTECNICA GENERALE E MIGLIORAMENTO GENETICO, goat, Haplotype, SciAdv r-articles, biochemical phenomena, metabolism, and nutrition, Evolutionary biology, [SDE]Environmental Sciences, 030217 neurology & neurosurgery, Research Article, Human mitochondrial DNA haplogroup
Abstract

Goat domestication selection mainly focused on immune and neural genes and involved both standing and introgressed variation., Goat domestication was critical for agriculture and civilization, but its underlying genetic changes and selection regimes remain unclear. Here, we analyze the genomes of worldwide domestic goats, wild caprid species, and historical remains, providing evidence of an ancient introgression event from a West Caucasian tur-like species to the ancestor of domestic goats. One introgressed locus with a strong signature of selection harbors the MUC6 gene, which encodes a gastrointestinally secreted mucin. Experiments revealed that the nearly fixed introgressed haplotype confers enhanced immune resistance to gastrointestinal pathogens. Another locus with a strong signal of selection may be related to behavior. The selected alleles at these two loci emerged in domestic goats at least 7200 and 8100 years ago, respectively, and increased to high frequencies concurrent with the expansion of the ubiquitous modern mitochondrial haplogroup A. Tracking these archaeologically cryptic evolutionary transformations provides new insights into the mechanisms of animal domestication.

Published
2020

46. Organization of intensive cardiac care units in Europe : Results of a multinational survey

Author

Claeys, M. J., Roubille, F., Casella, G., Zukermann, R., Nikolaou, N., De Luca, L., Gierlotkaa, M., Iakobishvili, Z., Thiele, H., Koutouzis, M., Sionis, A., Monteiro, S., Beauloye, C., Held, Claes, Tint, D., Zakke, I, Serpytis, P., Babic, Z., Belohlavev, J., Magdy, A., Rasalingam, M. Sivagowry, Daly, K., Arroyo, D., Vavlukis, M., Radovanovic, N., Trendafilova, E., Marandi, T., Hassenger, C., Lettino, M., Price, S., Bonnefoy, E., Claeys, M. J., Roubille, F., Casella, G., Zukermann, R., Nikolaou, N., De Luca, L., Gierlotkaa, M., Iakobishvili, Z., Thiele, H., Koutouzis, M., Sionis, A., Monteiro, S., Beauloye, C., Held, Claes, Tint, D., Zakke, I, Serpytis, P., Babic, Z., Belohlavev, J., Magdy, A., Rasalingam, M. Sivagowry, Daly, K., Arroyo, D., Vavlukis, M., Radovanovic, N., Trendafilova, E., Marandi, T., Hassenger, C., Lettino, M., Price, S., and Bonnefoy, E.

Abstract

Background: The present survey aims to describe the intensive cardiac care unit organization and admission policies in Europe. Methods: A total of 228 hospitals (61% academic) from 27 countries participated in this survey. In addition to the organizational aspects of the intensive cardiac care units, including classification of the intensive cardiac care unit levels, data on the admission diagnoses were gathered from consecutive patients who were admitted during a two-day period. Admission policies were evaluated by comparing illness severity with the intensive cardiac care unit level. Gross national income was used to differentiate high-income countries (n=13) from middle-income countries (n=14). Results: A total of 98% of the hospitals had an intensive cardiac care unit: 70% had a level 1 intensive cardiac care unit, 76% had a level 2 intensive cardiac care unit, 51% had a level 3 intensive cardiac care unit, and 60% of the hospitals had more than one intensive cardiac care unit level. High-income countries tended to have more level 3 intensive cardiac care units than middle-income countries (55% versus 41%, p=0.07). A total of 5159 admissions were scored on illness severity: 63% were low severity, 24% were intermediate severity, and 12% were high severity. Patients with low illness severity were predominantly admitted to level 1 intensive cardiac care units, whereas patients with high illness severity were predominantly admitted to level 2 and 3 intensive cardiac care units. A policy mismatch was observed in 12% of the patients; some patients with high illness severity were admitted to level 1 intensive cardiac care units, which occurred more often in middle-income countries, whereas some patients with low illness severity were admitted to level 3 intensive cardiac care units, which occurred more frequently in high-income countries. Conclusion: More than one-third of the admitted patients were considered intermediate or high risk. Although patients with higher il

Published
2020
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47. INTERFERON-EPSILON PROMOTES SUSCEPTIBILITY TO INFLUENZA A AND ASSOCIATED DISEASE

Author

Mayall, J, Hsu, A, Horvat, J, Daly, K, Chevalier, A, Gomez, H, Deane, A, Haw, T, Brown, A, Liu, G, Dua, K, Starkey, M, Kim, R, Mangan, N, Wark, P, Hertzog, P, Hansbro, P, Mayall, J, Hsu, A, Horvat, J, Daly, K, Chevalier, A, Gomez, H, Deane, A, Haw, T, Brown, A, Liu, G, Dua, K, Starkey, M, Kim, R, Mangan, N, Wark, P, Hertzog, P, and Hansbro, P

Published
2020

49. The Effect of a JJ Stent on Sexual Function and Satisfaction

Author

Norton, S., primary, Kaur, S., additional, Roche, E., additional, O’Beirn, E., additional, Daly, K., additional, Considine, S., additional, Dowling, C., additional, Jaffry, S., additional, O’Malley, P., additional, Durkan, G., additional, Walsh, K., additional, Rogers, E., additional, and D’Arcy, F., additional

Published
2020
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