Studies on bacterial community composition are affected by the time and storage method of the rumen content
The objective of this study was to investigate three storage methods and four storage times for rumen sampling in terms of quality and yield of extracted metagenomic DNA as well as the composition of the rumen bacterial community. One Nellore steer fitted with a ruminal silicone- type cannula was us...
- Autores:
-
Granja-Salcedo, Yury Tatiana
Ramirez-Uscategui, Ricardo Andrés
Machado, Elwi Guillermo
Duarte Messana, Juliana
Takeshi Kishi, Luciano
Lino Dias, Ana Veronica
Berchielli, Telma Teresinha
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/1604
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/1604
- Palabra clave:
- Microbioma ruminal
Acidosis ruminal subagudo
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
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dc.title.spa.fl_str_mv |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
title |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
spellingShingle |
Studies on bacterial community composition are affected by the time and storage method of the rumen content Microbioma ruminal Acidosis ruminal subagudo |
title_short |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
title_full |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
title_fullStr |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
title_full_unstemmed |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
title_sort |
Studies on bacterial community composition are affected by the time and storage method of the rumen content |
dc.creator.fl_str_mv |
Granja-Salcedo, Yury Tatiana Ramirez-Uscategui, Ricardo Andrés Machado, Elwi Guillermo Duarte Messana, Juliana Takeshi Kishi, Luciano Lino Dias, Ana Veronica Berchielli, Telma Teresinha |
dc.contributor.author.none.fl_str_mv |
Granja-Salcedo, Yury Tatiana Ramirez-Uscategui, Ricardo Andrés Machado, Elwi Guillermo Duarte Messana, Juliana Takeshi Kishi, Luciano Lino Dias, Ana Veronica Berchielli, Telma Teresinha |
dc.subject.spa.fl_str_mv |
Microbioma ruminal Acidosis ruminal subagudo |
topic |
Microbioma ruminal Acidosis ruminal subagudo |
description |
The objective of this study was to investigate three storage methods and four storage times for rumen sampling in terms of quality and yield of extracted metagenomic DNA as well as the composition of the rumen bacterial community. One Nellore steer fitted with a ruminal silicone- type cannula was used as a donor of ruminal contents. The experiment comprised 11 experimental groups: pellet control (PC), lyophilized control (LC), P-20: pellet stored frozen at -20ÊC for a period of 3, 6, and 12 months, P-80: pellet stored frozen at -80ÊC for a period of 3, 6, and 12 months, and L-20: lyophilized sample stored frozen at -20ÊC for a period of 3, 6, and 12 months. Metagenomic DNA concentrations were measured spectrophotometrically and fluorometrically and ion torrent sequencing was used to assess the bacterial community composition. The L-20 method could not maintain the yield of DNA during storage. In addition, the P-80 group showed a greater yield of metagenomic DNA than the other groups after 6 months of storage. Rumen samples stored as pellets (P-20 and P-80) resulted in lower richness Chao 1, ACE, and Shannon Wiener indices when compared to PC, while LC and PC were only different in richness ACE. The storage method and storage time influenced the proportions of 14 of 17 phyla identified by sequencing. In the P-20 group, the proportion of Cyanobacteria, Elusimicrobia, Fibrobacteres, Lentisphaerae, Proteobacteria, and Spirochaetes phyla identified was lower than 1%. In the P-80 group, there was an increase in the proportion of the Bacteroidetes phylum (p = 0.010); however, the proportion of Actinobacteria, Chloroflexi, SR1, Synergistetes, TM7, and WPS.2 phyla were unchanged compared to the PC group (p > 0.05). The class Clostridium was the most abundant in all stored groups and increased in its proportion, especially in the L-20 group. The rumen sample storage time significantly reduced the yield of metagenomic DNA extracted. Therefore, the storage method can influence the abundance of phyla, classes, and bacterial families studied in rumen samples and affect the richness and diversity index. |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017-04-28 |
dc.date.accessioned.none.fl_str_mv |
2018-02-05T21:18:49Z |
dc.date.available.none.fl_str_mv |
2018-02-05T21:18:49Z |
dc.type.spa.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.none.fl_str_mv |
19326203 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12442/1604 |
identifier_str_mv |
19326203 |
url |
http://hdl.handle.net/20.500.12442/1604 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
rights_invalid_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
dc.publisher.spa.fl_str_mv |
Public Library of Science |
dc.source.spa.fl_str_mv |
Revista PLos One Vol. 12, No.4 (2017) |
institution |
Universidad Simón Bolívar |
dc.source.uri.eng.fl_str_mv |
https://doi.org/10.1371/journal.pone.0176701 |
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Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Granja-Salcedo, Yury Tatianaeaec94ba-6b05-4b67-9f90-0ca6f452c1ba-1Ramirez-Uscategui, Ricardo Andrés358f624b-6cbf-4108-8d38-23c3384ff4f4-1Machado, Elwi Guillermof13e29bf-3002-42d3-955c-d798876be965-1Duarte Messana, Juliana8d3e408b-d48d-4a80-a1ef-e19410186975-1Takeshi Kishi, Luciano4a378835-817a-4a88-abd3-42b9b70f392b-1Lino Dias, Ana Veronica71712777-6e86-4762-be3f-e8e12da0fa30-1Berchielli, Telma Teresinha15ac05d9-a23b-46ea-a052-e9860096e07f-12018-02-05T21:18:49Z2018-02-05T21:18:49Z2017-04-2819326203http://hdl.handle.net/20.500.12442/1604The objective of this study was to investigate three storage methods and four storage times for rumen sampling in terms of quality and yield of extracted metagenomic DNA as well as the composition of the rumen bacterial community. One Nellore steer fitted with a ruminal silicone- type cannula was used as a donor of ruminal contents. The experiment comprised 11 experimental groups: pellet control (PC), lyophilized control (LC), P-20: pellet stored frozen at -20ÊC for a period of 3, 6, and 12 months, P-80: pellet stored frozen at -80ÊC for a period of 3, 6, and 12 months, and L-20: lyophilized sample stored frozen at -20ÊC for a period of 3, 6, and 12 months. Metagenomic DNA concentrations were measured spectrophotometrically and fluorometrically and ion torrent sequencing was used to assess the bacterial community composition. The L-20 method could not maintain the yield of DNA during storage. In addition, the P-80 group showed a greater yield of metagenomic DNA than the other groups after 6 months of storage. Rumen samples stored as pellets (P-20 and P-80) resulted in lower richness Chao 1, ACE, and Shannon Wiener indices when compared to PC, while LC and PC were only different in richness ACE. The storage method and storage time influenced the proportions of 14 of 17 phyla identified by sequencing. In the P-20 group, the proportion of Cyanobacteria, Elusimicrobia, Fibrobacteres, Lentisphaerae, Proteobacteria, and Spirochaetes phyla identified was lower than 1%. In the P-80 group, there was an increase in the proportion of the Bacteroidetes phylum (p = 0.010); however, the proportion of Actinobacteria, Chloroflexi, SR1, Synergistetes, TM7, and WPS.2 phyla were unchanged compared to the PC group (p > 0.05). The class Clostridium was the most abundant in all stored groups and increased in its proportion, especially in the L-20 group. The rumen sample storage time significantly reduced the yield of metagenomic DNA extracted. Therefore, the storage method can influence the abundance of phyla, classes, and bacterial families studied in rumen samples and affect the richness and diversity index.engPublic Library of ScienceRevista PLos OneVol. 12, No.4 (2017)https://doi.org/10.1371/journal.pone.0176701Microbioma ruminalAcidosis ruminal subagudoStudies on bacterial community composition are affected by the time and storage method of the rumen contentarticlehttp://purl.org/coar/resource_type/c_6501Zilber-Rosenberg I, Rosenberg E. Role of microorganisms in the evolution of animals and plants: the hologenome theory of evolution. FEMS Microbiol Rev. 2008; 32(5):723±35. https://doi.org/10.1111/j. 1574-6976.2008.00123.x PMID: 18549407Petri RM, Schwaiger T, Penner GB, Beauchemin KA, Forster RJ, McKinnon JJ, McAllister TA. Characterization of the core rumen microbiome in cattle during transition from forage to concentrate as well as during and after an acidotic challenge. PLoS ONE. 2013; 31: 8(12):e83424. https://doi.org/10.1371/ journal.pone.0083424 PMID: 24391765Makkar HPS, McSweeney CS. Methods in Gut Microbial Ecology for Ruminants. 1st ed. Dordrecht: Springer: 2005.Deng W, Xi D, Mao H, Wanapat M. The use of molecular techniques based on ribosomal RNA and DNA for rumen microbial ecosystem studies: a review. Mol Biol Rep. 2008; 35(2):265±74. https://doi.org/10. 1007/s11033-007-9079-1 PMID: 17484038Yu Z, Morrison M. Improved extraction of PCR-quality community DNA from digesta and fecal samples. Biotechniques. 2004; 36(5):808±12. PMID: 15152600Henderson G, Cox F, Kittelmann S, Miri VH, Zethof M, Noel SJ, et al. Effect of DNA extraction methods and sampling techniques on the apparent structure of cow and sheep rumen microbial communities. PLoS One. 2013; 11: 8(9):e74787. https://doi.org/10.1371/journal.pone.0074787 PMID: 24040342Villegas-Rivera G, Vargas-Cabrera Y, GonzaÂlez-Silva N, Aguilera-GarcõÂa F, GutieÂrrez-VaÂzquez E, Bravo-Patiño A, et al. 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Relationship between the rumen microbiome and residual feed intake-efficiency of Brahman bulls stocked on bermudagrass pastures. PLoS One. 2014; 9 (3): e91864. https://doi.org/10.1371/journal.pone.0091864 PMID: 24642871Singh KM, Jakhesara SJ, Koringa PG, Rank DN, Joshi CG. Metagenomic analysis of virulence-associated and antibiotic resistance genes of microbes in rumen of Indian buffalo (Bubalus bubalis). Gene. 2012; 507 (2): 146-151. https://doi.org/10.1016/j.gene.2012.07.037 PMID: 22850272Singh KM, Reddy B, Patel AK, Panchasara H, Parmar N, Patel AB, et al., Metagenomic analysis of buffalo rumen microbiome: Effect of roughage diet on Dormancy and Sporulation genes. Meta Gene. 2014; 1 (2): 252-268.Jalanka-Tuovinen J, Salonen A, Nikkila J, Immonen O, Kekkonen R, Lahti L, et al. Intestinal Microbiota in Healthy Adults: Temporal Analysis Reveals Individual and Common Core and Relation to Intestinal Symptoms. PLoS One. 2011; 6(7): e23035. https://doi.org/10.1371/journal.pone.0023035 PMID: 21829582Biddle A, Stewart L, Blanchard J, Leschine S. Untangling the genetic basis of fibrolytic specialization by lachnospiraceae and ruminococcaceae in diverse gut communities. Diversity. 2013; 5: 627-640.Kobayashi Y, Shinkai T, Koike S.Ecological and physiological characterization shows that Fibrobacter succinogenes is important in rumen fiber digestionÐreview. Folia Microbiol (Praha). 2008; 53(3):195-200.Ransom-Jones E, Jones DL, McCarthy AJ, McDonald JE. The Fibrobacteres: an important phylum of cellulose-degrading bacteria. Microb Ecol. 2012; 63(2):267-281. https://doi.org/10.1007/s00248-011- 9998-1 PMID: 22213055Mesapogu S, Jillepalli MC, Arora DK. 2012. Microbial DNA Extraction, Purification, and Quantitation. In: Arora DK, Das S, SukumarM (eds). Analyzing Microbes. 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