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Registros recuperados : 85 | |
41. | | BERGER, A.; BONNECARRERE, V.; BORSANI, O.; CASARETTO, E.; CASTILLO, A.; CASTRO, A.; CERETTA, S.; FLEITAS, L.; GALLINO, J.P.; GARAYCOCHEA, S.; IRIARTE, W.; KAVANOVÁ, M.; QUERO, G.; REY, E.; RUIBAL, C.; SIMONDI, S.; VIDAL, S. Aproximaciones genómicas, fisiológicas y de mejoramiento para incrementar la tolerancia a sequía en soja. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, X. Encuentro Nacional de REDBIO, II. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2017. (Serie Actividades de Difusión; 780)Biblioteca(s): INIA Las Brujas. |
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42. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GERMAN, S.; JANNINK, J.L.; GUTIÉRREZ, L. Evaluación de nuevos métodos de selección para resistencia a enfermedades del tallo y la vaina en arroz. In: Zorrilla, G.; Martínez, S.; Saravia, H. (Eds.) Arroz 2017. Montevideo (UY): INIA, 2017. p. 31-34. (INIA Serie Técnica; 233)Biblioteca(s): INIA Treinta y Tres. |
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43. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GERMAN, S.; JANNINK, J.L.; GUTIÉRREZ, L. Herramientas bioestadísticas para mejoramiento de la resistencia genética a enfermedades del tallo en arroz. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA Las Brujas; Biotecnología. Jornada de Agrobiotecnología, X. Encuentro Nacional de REDBIO, II. Jornada técnica. Las Brujas, Canelones (UY): INIA, 2017. p. 9-12. (Serie Actividades de Difusión; 780)Biblioteca(s): INIA Las Brujas. |
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44. | | RAFFO, M.A.; PRITSCH, C.; AZZIMONTI, G.; PEREYRA, S.; QUINCKE, M.; BONNECARRERE, V.; SILVA, P.; CASTRO, A.; LADO, B.; BARAIBAR, S.; PEREYRA, S.; GERMAN, S. Introducción de Fhb1 en germoplasma elite de trigo para incrementar la resistencia a fusariosis de espiga en Uruguay. [p24]. Bloque 2: Mejoramiento por resistencia a enfermedades. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 4., Jornada Uruguaya de Protección Vegetal, 2., 1° setiembre, 2017, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2017. p. 44. Financiamiento: Agencia Nacional de Investigación e Innovación (POS_NAC_2016_1_129877).Biblioteca(s): INIA Las Brujas. |
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45. | | SPINDEL, J.E.; MONTEVERDE, E.; BEGUM, H.; AKDEMIR, D.; COLLARD, B.; REDOÑA, E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; BONNECARRERE, V.; GUTIÉRREZ, L.; ROSAS, J.E.; QUERO, G.; BERBERIÁN, N.; GARAYCOCHEA, S.; FERNANDEZ, S.; JANNINK, J.L.; MCCOUCH, S. GS + de novo GWAS in Tropical and Temperate Irrigated Rice Breeding Programs. [W809] In: International Plant & Animal Genome, Conference PAG XXIV, "The largest Ag-genomics Meeting in the World San Diego, CA, USA; January 9-13, 2016. [Abstract] .Biblioteca(s): INIA Las Brujas. |
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46. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIÉRREZ, L. GWAS for resistance to stem rot and aggregated sheath spot in advanced temperate rice (Oryza sativa L.) germplasm. [Poster]. In: International Conference on Quantitative Genetics, (5o., 2016, Madison)Biblioteca(s): INIA Treinta y Tres. |
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47. | | ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; PÉREZ DE VIDA, F.; BLANCO, P.H.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.L.; GUTIERREZ, L. GWAS for resistance to stem rot and aggregated sheath spot of rice advanced breeding lines. [Poster]. In: International Symposium on Rice Functional Genomics, (14o., 2016, Montpellier),Biblioteca(s): INIA Treinta y Tres. |
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48. | | QUERO, G.; GUTIÉRREZ, L.; FERNANDEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GARAYCOCHEA, S.; MONTEVERDE, E.; MCCOUCH, M.; ROSAS, J.E.; BERBERIAN, N.; SIMONDIS, S.; BONNECARRERE, V. Genome wide association (GWAS) discovers rice granin quality genes in the starch metabolism, grain size and cell wall synthesis pathways. MV 24 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 292Biblioteca(s): INIA Las Brujas. |
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49. | | ROSAS, J.E.; BONNECARRERE, V.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; QUERO, G.; FERNANDEZ, S.; GARAYCOCHEA, S.; JANNINK, J.; GUTIERREZ, L. Mapeo asociativo de la resistencia a enfermedades del tallo y la vaina en germoplasma avanzado de arroz. 2 - SIMPOSIOS "MEJORAMIENTO GENÉTICO POR RESISTENCIA A ENFERMEDADES E INTERACCIONES PLANTA-PATÓGENO" In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 61Biblioteca(s): INIA Las Brujas. |
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50. | | MONTEVERDE, E.; BLANCO, P.H.; BONNECARRERE, V.; GUTIÉRREZ, L.; ROSAS, J.E.; QUERO, G.; BARBERIÁN, N.; GARAYCOCHEA, S.; FERNANDEZ, S.; MCCOUCH, S. Implementing Genomic Selection in a temperate Rice Breeding Program. [P0716] In: International Plant & Animal Genome, Conference PAG XXIV, "The largest Ag-genomics Meeting in the World San Diego, CA, USA; January 9-13, 2016. [Abstract]Biblioteca(s): INIA Las Brujas. |
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51. | | BONNECARRERE, V.; IRIARTE, W.; SALDAIN, N.E. La resistencia que expresa el biotipo de capín E3CL al Kifix. ¿A qué mecanismos es debida? ln: JORNADA ANUAL ARROZ, 2016, INIA TREINTA Y TRES, TREINTA Y TRES, UY. Arroz: resultados experimentales 2015-2016. Treinta y Tres, (Uruguay): INIA, 2016. cap. 2, p. 18-20. (INIA Serie Actividades de Difusión; 765)Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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52. | | BONNECARRERE, V.; QUERO, G.; MONTEVERDE, E.; ROSAS, J.E.; PÉREZ DE VIDA, F.; CRUZ, M.; CORREDOR, E.; GARAYCOCHEA, S.; MONZA, J.; BORSANI, O. Candidate gene markers associated with cold tolerance in vegetative stage of rice (Oryza sativa L.). Euphytica, 2015, v. 203 no. 2, p. 385-398. p. 385-398. Received: 17 June 2014 / Accepted: 23 October 2014 / Published online: 2 November 2014Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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53. | | PORTA, B.; CONDON, F.; BONNECARRERE, V.; GUTIÉRREZ, L.; FRANCO, J.; GALVÁN, G. Diversidad y estructura genética del germoplasma de maíz blanco dentad de Uruguay mediante microsatélites. [Resumen]. In: SIMPÓSIO DE RECURSOS GENÉTICOS PARA A AMÉRICA LATINA E CARIBE, 10., 2015, Bento Gonçalves. Recursos genéticos no século 21: de Vavilov a Svalbard. Anais... [s.l.]: Sociedade Brasileira de Recursos Genéticos, 2015. p.65. Agradecimientos: Comisión Sectorial de Investigación Científica, CSIC - UdelaR, Uruguay.Biblioteca(s): INIA Las Brujas. |
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54. | | ROSAS, J.E.; MARTÍNEZ, S.; BLANCO, P.H.; PÉREZ DE VIDA, F.; GARAYCOCHEA, S.; FERNANDEZ, S.; IRIARTE, W.; MONTEVERDE, E.; BERBERIÁN, N.; BONNECARRERE, V.; GUTIERREZ, L.; MCCOUCH, S.; JANNINK, J.L. Mapeo asociativo de resistencia a enfermedades del tallo y la vaina en arroz.[Poster]. In: Jornadas de Agrobiotecnologìa, (9a., 2015, Montevideo)Biblioteca(s): INIA Treinta y Tres. |
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55. | | BONNECARRERE, V.; QUERO, G.; ROSAS, J.; FERNÁNDEZ, S.; GARAYCOCHEA, S.; MARTINEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H.; BERDERIAN, N.; GUTIERREZ, L. Marcadores moleculares identificados en el proyecto mapeo asociativo para asistir el mejoramiento por calidad del grano. En: INIA TREINTA Y TRES. Arroz-Soja:Resultados Experimentales 2013-2014. Treinta y Tres (UY): INIA Treinta y Tres. cap. 6. p. 24-26 (INIA Serie Actividades de Difusión; 735)Biblioteca(s): INIA Treinta y Tres. |
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56. | | MARTÍNEZ, C.P.; TORRES, E.A.; CHATEL, M.; MOSQUERA, G.; DUITAMA, J.; ISHITANI, M.; SELVARAJ, M.; DEDICOVA, B.; TOHME, J.; GRENIER, C.; LORIEUX, M.; CRUZ, M.; BERRÍO, L.; CORREDOR, E.; ZORRILLA DE SAN MARTÍN, G.; BRESEGHELLO, F.; PEIXOTO, O.; COLOMBARI FILHO, J.M.; CASTRO, A. PEREIRA DE; LOPES, S.I. GINDRI; BARBOSA, M.; FUNCK, G.R. DALTROZZO; BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; CARRACELAS, G.; MARIN, A.; CORREA-VICTORIA, F.; CAMARGO, I.; BRUZZONE, C.B . Rice breeding in Latin America. Plant Breeding Reviews, 2014 v.38, p. 187-277., 2014Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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57. | | BONNECARRERE, V.; GARAYCOCHEA, S.; GUTIERREZ, L.; ROSAS, J.E.; BERBERIAN, N.; FERNÁNDEZ, S.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; BLANCO, P.H. Avances de resultados del proyecto mapeo asociativo para la identificación de marcadores asociados a rendimiento, calidad y resistencia a enfermedades In: PROGRAMA NACIONAL PRODUCCIÓN DE ARROZ; JORNADA ANUAL ARROZ-SOJA, 2013, INIA TREINTA Y TRES, UY. Arroz-soja: resultados experimentales 2012-2013. Treinta y Tres: INIA, 2013. "cap. 6; p. 22-24" (INIA Serie Actividades de Difusión ; 713)Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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Registros recuperados : 85 | |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
04/09/2019 |
Actualizado : |
16/03/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
-- - -- |
Autor : |
ROVIRA, P.J.; MCALLISTER, T.; LAKIN, S.M.; COOK, S.R.; DOSTER, E.; NOYES, N. R.; WEINROTH, M.D.; YANG, X.; PARKER, J. K.; BOUCHER, C.; BOOKER, C. W.; WOENER, D. R.; BELK, K. E.; MORLEY, P. S. |
Afiliación : |
PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; TIM MCALLISTER, Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada.; STEVEN M. LAKIN, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, USA.; SHAUN R. COOK, Alberta Agricultural and forestry, Lethbridge, Canada.; ENRIQUE DOSTER, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, USA.; NOELLE R. NOYES, Veterinary Population Medicine Department, University of Minnesota, USA.; MAGGIE D. WEINROTH, Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; XIANG YANG, Department of Animal Science, University of California, Davis, USA.; JENNIFER K. PARKER, Deparment of Molecular Biosciences, University of Florida, Gainesville, FL, USA.; CHRISTINA BOUCHER, Deparment of Computer and Information Science and Engineering, University of Florida, Gainessville, FL, USA.; CALVIN W. BOOKER, Feedlot Health Management Services, Okotoks, AB, Canada.; DALE R. WOEMER, Deparment of Animal and Food Sciences, College of Agricultural Sciences & Natural Resources, Texas University, TX, USA.; KEITH E. BELK, Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; PAUL S. MORLEY, VERO, Veterinary Education, Research , and Outreach Program, Texas A&M University and West Texas A&M University, Canyon, TX, USA. |
Título : |
Characterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Frontier in Microbiology, September 2019. v. 10, article 1980, 11 p. OPEN ACCESS. |
DOI : |
10.3389/fmicb.2019.01980 |
Idioma : |
Inglés |
Notas : |
Received 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019. |
Contenido : |
Metagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance.
Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes. MenosMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle sour... Presentar Todo |
Palabras claves : |
ANTIBIOTIC RESISTANCE; CATTLE; CATTLE BEEF; DAIRY CATTLE; METAGENOMICA; METAGENOMICS; MICROBIOMA; MICROBIOME; RESISTENCIA A ANTIBIÓTICOS; RESISTOME. |
Thesagro : |
BOVINOS; BOVINOS DE CARNE; GANADO LECHERO. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13237/1/Rovira-Front-microb-2019.pdf
|
Marc : |
LEADER 03681naa a2200457 a 4500 001 1060137 005 2021-03-16 008 2019 bl uuuu u00u1 u #d 024 7 $a10.3389/fmicb.2019.01980$2DOI 100 1 $aROVIRA, P.J. 245 $aCharacterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems.$h[electronic resource] 260 $c2019 500 $aReceived 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019. 520 $aMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance. Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes. 650 $aBOVINOS 650 $aBOVINOS DE CARNE 650 $aGANADO LECHERO 653 $aANTIBIOTIC RESISTANCE 653 $aCATTLE 653 $aCATTLE BEEF 653 $aDAIRY CATTLE 653 $aMETAGENOMICA 653 $aMETAGENOMICS 653 $aMICROBIOMA 653 $aMICROBIOME 653 $aRESISTENCIA A ANTIBIÓTICOS 653 $aRESISTOME 700 1 $aMCALLISTER, T. 700 1 $aLAKIN, S.M. 700 1 $aCOOK, S.R. 700 1 $aDOSTER, E. 700 1 $aNOYES, N. R. 700 1 $aWEINROTH, M.D. 700 1 $aYANG, X. 700 1 $aPARKER, J. K. 700 1 $aBOUCHER, C. 700 1 $aBOOKER, C. W. 700 1 $aWOENER, D. R. 700 1 $aBELK, K. E. 700 1 $aMORLEY, P. S. 773 $tFrontier in Microbiology, September 2019.$gv. 10, article 1980, 11 p. OPEN ACCESS.
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