Ocular Microbiome in a Group of Clinically Healthy Horses

The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the meta...
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Autor*in:	Rodrigo Santibáñez [verfasserIn] Felipe Lara [verfasserIn] Teresa M. Barros [verfasserIn] Elizabeth Mardones [verfasserIn] Françoise Cuadra [verfasserIn] Pamela Thomson [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	16S rRNA gene horses microbiome ocular surface

Übergeordnetes Werk:	In: Animals - MDPI AG, 2011, 12(2022), 8, p 943
Übergeordnetes Werk:	volume:12 ; year:2022 ; number:8, p 943

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ani12080943

Katalog-ID:	DOAJ029683130

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allfields	10.3390/ani12080943 doi (DE-627)DOAJ029683130 (DE-599)DOAJ7e96c21eb405498f8312374d3d0fbab2 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Rodrigo Santibáñez verfasserin aut Ocular Microbiome in a Group of Clinically Healthy Horses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis. 16S rRNA gene horses microbiome ocular surface Veterinary medicine Zoology Felipe Lara verfasserin aut Teresa M. Barros verfasserin aut Elizabeth Mardones verfasserin aut Françoise Cuadra verfasserin aut Pamela Thomson verfasserin aut In Animals MDPI AG, 2011 12(2022), 8, p 943 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:12 year:2022 number:8, p 943 https://doi.org/10.3390/ani12080943 kostenfrei https://doaj.org/article/7e96c21eb405498f8312374d3d0fbab2 kostenfrei https://www.mdpi.com/2076-2615/12/8/943 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 8, p 943
spelling	10.3390/ani12080943 doi (DE-627)DOAJ029683130 (DE-599)DOAJ7e96c21eb405498f8312374d3d0fbab2 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Rodrigo Santibáñez verfasserin aut Ocular Microbiome in a Group of Clinically Healthy Horses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis. 16S rRNA gene horses microbiome ocular surface Veterinary medicine Zoology Felipe Lara verfasserin aut Teresa M. Barros verfasserin aut Elizabeth Mardones verfasserin aut Françoise Cuadra verfasserin aut Pamela Thomson verfasserin aut In Animals MDPI AG, 2011 12(2022), 8, p 943 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:12 year:2022 number:8, p 943 https://doi.org/10.3390/ani12080943 kostenfrei https://doaj.org/article/7e96c21eb405498f8312374d3d0fbab2 kostenfrei https://www.mdpi.com/2076-2615/12/8/943 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 8, p 943
allfields_unstemmed	10.3390/ani12080943 doi (DE-627)DOAJ029683130 (DE-599)DOAJ7e96c21eb405498f8312374d3d0fbab2 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Rodrigo Santibáñez verfasserin aut Ocular Microbiome in a Group of Clinically Healthy Horses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis. 16S rRNA gene horses microbiome ocular surface Veterinary medicine Zoology Felipe Lara verfasserin aut Teresa M. Barros verfasserin aut Elizabeth Mardones verfasserin aut Françoise Cuadra verfasserin aut Pamela Thomson verfasserin aut In Animals MDPI AG, 2011 12(2022), 8, p 943 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:12 year:2022 number:8, p 943 https://doi.org/10.3390/ani12080943 kostenfrei https://doaj.org/article/7e96c21eb405498f8312374d3d0fbab2 kostenfrei https://www.mdpi.com/2076-2615/12/8/943 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 8, p 943
allfieldsGer	10.3390/ani12080943 doi (DE-627)DOAJ029683130 (DE-599)DOAJ7e96c21eb405498f8312374d3d0fbab2 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Rodrigo Santibáñez verfasserin aut Ocular Microbiome in a Group of Clinically Healthy Horses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis. 16S rRNA gene horses microbiome ocular surface Veterinary medicine Zoology Felipe Lara verfasserin aut Teresa M. Barros verfasserin aut Elizabeth Mardones verfasserin aut Françoise Cuadra verfasserin aut Pamela Thomson verfasserin aut In Animals MDPI AG, 2011 12(2022), 8, p 943 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:12 year:2022 number:8, p 943 https://doi.org/10.3390/ani12080943 kostenfrei https://doaj.org/article/7e96c21eb405498f8312374d3d0fbab2 kostenfrei https://www.mdpi.com/2076-2615/12/8/943 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 8, p 943
allfieldsSound	10.3390/ani12080943 doi (DE-627)DOAJ029683130 (DE-599)DOAJ7e96c21eb405498f8312374d3d0fbab2 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Rodrigo Santibáñez verfasserin aut Ocular Microbiome in a Group of Clinically Healthy Horses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis. 16S rRNA gene horses microbiome ocular surface Veterinary medicine Zoology Felipe Lara verfasserin aut Teresa M. Barros verfasserin aut Elizabeth Mardones verfasserin aut Françoise Cuadra verfasserin aut Pamela Thomson verfasserin aut In Animals MDPI AG, 2011 12(2022), 8, p 943 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:12 year:2022 number:8, p 943 https://doi.org/10.3390/ani12080943 kostenfrei https://doaj.org/article/7e96c21eb405498f8312374d3d0fbab2 kostenfrei https://www.mdpi.com/2076-2615/12/8/943 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 8, p 943
language	English
source	In Animals 12(2022), 8, p 943 volume:12 year:2022 number:8, p 943
sourceStr	In Animals 12(2022), 8, p 943 volume:12 year:2022 number:8, p 943
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	16S rRNA gene horses microbiome ocular surface Veterinary medicine Zoology
isfreeaccess_bool	true
container_title	Animals
authorswithroles_txt_mv	Rodrigo Santibáñez @@aut@@ Felipe Lara @@aut@@ Teresa M. Barros @@aut@@ Elizabeth Mardones @@aut@@ Françoise Cuadra @@aut@@ Pamela Thomson @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	657589306
id	DOAJ029683130
language_de	englisch
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callnumber-first	S - Agriculture
author	Rodrigo Santibáñez
spellingShingle	Rodrigo Santibáñez misc SF600-1100 misc QL1-991 misc 16S rRNA gene misc horses misc microbiome misc ocular surface misc Veterinary medicine misc Zoology Ocular Microbiome in a Group of Clinically Healthy Horses
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topic_title	SF600-1100 QL1-991 Ocular Microbiome in a Group of Clinically Healthy Horses 16S rRNA gene horses microbiome ocular surface
topic	misc SF600-1100 misc QL1-991 misc 16S rRNA gene misc horses misc microbiome misc ocular surface misc Veterinary medicine misc Zoology
topic_unstemmed	misc SF600-1100 misc QL1-991 misc 16S rRNA gene misc horses misc microbiome misc ocular surface misc Veterinary medicine misc Zoology
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title	Ocular Microbiome in a Group of Clinically Healthy Horses
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title_full	Ocular Microbiome in a Group of Clinically Healthy Horses
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author_browse	Rodrigo Santibáñez Felipe Lara Teresa M. Barros Elizabeth Mardones Françoise Cuadra Pamela Thomson
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title_sort	ocular microbiome in a group of clinically healthy horses
callnumber	SF600-1100
title_auth	Ocular Microbiome in a Group of Clinically Healthy Horses
abstract	The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis.
abstractGer	The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis.
abstract_unstemmed	The ocular microbiome in horses is poorly described compared to other species, and most of the information available in the literature is based on traditional techniques, which has limited the depth of the knowledge on the subject. The objective of this study was to characterize and predict the metabolic pathways of the ocular microbiome of a group of healthy horses. Conjunctival swabs were obtained from both eyes of 14 horses, and DNA extraction was performed from the swabs, followed by next generation sequencing and bioinformatics analyses employing DADA2 and PICRUSt2. A total of 17 phyla were identified, of which <i<Pseudomonadota</i< (<i<Proteobacteria</i<) was the most abundant (59.88%), followed by <i<Actinomycetota</i< (<i<Actinobacteria</i<) (22.44%) and <i<Bacteroidota</i< (<i<Bacteroidetes</i<) (16.39%), totaling an average of 98.72% of the communities. Similarly, of the 278 genera identified, <i<Massilia</i<, <i<Pedobacter</i<, <i<Pseudomonas</i<, <i<Sphingomonas</i<, <i<Suttonella</i< and <i<Verticia</i< were present in more than 5% of the samples analyzed. Both <i<Actinobacteria</i< and <i<Bacteroides</i< showed great heterogeneity within the samples. The most abundant inferred metabolic functions were related to vital functions for bacteria such as aerobic respiration, amino acid, and lipid biosynthesis.
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title_short	Ocular Microbiome in a Group of Clinically Healthy Horses
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Nicht das Richtige dabei?