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...

Full description

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
id USIMONBOL2_be7bf3d31474389d49f6c9f4014373ea
oai_identifier_str oai:bonga.unisimon.edu.co:20.500.12442/1604
network_acronym_str USIMONBOL2
network_name_str Repositorio Digital USB
repository_id_str
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
bitstream.url.fl_str_mv https://bonga.unisimon.edu.co/bitstreams/96342f4b-44f3-4c8e-bc35-43debf44c939/download
https://bonga.unisimon.edu.co/bitstreams/8f28d089-f788-434b-a0d1-48bc10fbfe30/download
https://bonga.unisimon.edu.co/bitstreams/d68d5775-b96b-4566-aa62-5f3d54f18b50/download
https://bonga.unisimon.edu.co/bitstreams/2901a175-587c-4a24-aa05-d4cb64983a72/download
https://bonga.unisimon.edu.co/bitstreams/38b07e64-d436-469f-99eb-d3f2e963a185/download
https://bonga.unisimon.edu.co/bitstreams/0755be6f-bd9d-4d86-8e82-852b70d1950f/download
bitstream.checksum.fl_str_mv 2a41aabe2ef944a8d90fe1d27697c1f3
8a4605be74aa9ea9d79846c1fba20a33
1fdd2e2e97e1de80053892ef8541bbc9
91c0b076acf2244ebcc0d7b188edf6e8
40284a32cfe91a7503bdfb2a2de60108
393a8447878b10bb96b5f3e7b3393300
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Digital Universidad Simón Bolívar
repository.mail.fl_str_mv repositorio.digital@unisimon.edu.co
_version_ 1812100478069112832
spelling 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. Evaluation of DNA extraction methods of rumen microbial populations. World J Microbiol Biotechnol. 2013; 29(2):301±7. https://doi.org/10.1007/s11274-012-1183-2 PMID: 23054703Geishauser T., Gitzel A. A comparison of rumen fluid sampled by oro-ruminal probe versus rumen fistula. Small Rumin Res. 1996; 21 (1): 63±69.Pitta DW, Pinchak E, Dowd SE, Osterstock J, Gontcharova V, Youn E, et al. Rumen bacterial diversity dynamics associated with changing from bermudagrass hay to grazed winter wheat diets. Microb Ecol. 2010; 59(3):511±22. https://doi.org/10.1007/s00248-009-9609-6 PMID: 20037795Fouts DE, Szpakowski S, Purushe J, Torralba M, Waterman RC, MacNeil MD, et al. Next generation sequencing to define prokaryotic and fungal diversity in the bovine rumen. PLoS One. 2012; 7(11): e48289. https://doi.org/10.1371/journal.pone.0048289 PMID: 23144861Saro C, Ranilla MJ, Carro MD. Postprandial changes of fiber-degrading microbes in the rumen of sheep fed diets varying in type of forage as monitored by real-time PCR and automated ribosomal intergenic spacer analysis. J Anim Sci. 2012; 90(12):4487±94. https://doi.org/10.2527/jas.2012-5265 PMID: 23100580Fliegerova K, Tapio I, Bonin A, Mrazek J, Callegari ML, Bani P, et al.Effect of DNA extraction and sample preservation method on rumen bacterial population. Anaerobe. 2014; 29:80±4. https://doi.org/10. 1016/j.anaerobe.2013.09.015 PMID: 24125910Petri RM, Mapiye C, Dugan ME, McAllister TA. Subcutaneous adipose fatty acid profiles and related rumen bacterial populations of steers fed red clover or grass hay diets containing flax or sunflowerseed. PLoS One. 2015; 9(8): e104167.Jiang SZ, Yang ZB, Yang WR, Li Z, Zhang CY, Liu XM, et al. Diets of differentially processed wheat alter ruminal fermentation parameters and microbial populations in beef cattle. J Anim Sci. 2015; 93 (11):5378±85. https://doi.org/10.2527/jas.2015-9547 PMID: 26641057Shingfield KJ, Kairenius P, AroÈ laÈ A, Paillard D, Muetzel S, AhvenjaÈ rvi S, et al. Dietary fish oil supplements modify ruminal biohydrogenation, alter the flow of fatty acids at the omasum, and induce changes in the ruminal Butyrivibrio population in lactating cows. J Nutr. 2012; 142(8):1437±48. https://doi.org/10. 3945/jn.112.158576 PMID: 22739367Zhou YW, McSweeney CS, Wang JK, Liu JX. Effects of disodium fumarate on ruminal fermentation and microbial communities in sheep fed on high-forage diets. Animal. 2012; 6(5):815±23. https://doi.org/10. 1017/S1751731111002102 PMID: 22558929Zhao L, Meng Q, Ren L, Liu W, Zhang X, Huo Y, et al. Effects of Nitrate Addition on Rumen Fermentation, Bacterial Biodiversity and Abundance. Asian-Australas J Anim Sci. 2015; 28(10):1433±41. https:// doi.org/10.5713/ajas.15.0091 PMID: 26194220Ma T, Chen DD, Tu Y, Zhang NF, Si BW, Deng KD, et al. Effect of dietary supplementation with resveratrol on nutrient digestibility, methanogenesis and ruminal microbial flora in sheep. J Anim Physiol Anim Nutr (Berl). 2015; 99(4):676±83.Yang SL, Bu DP, Wang JQ, Hu ZY, Li D, Wei HY, et al. Soybean oil and linseed oil supplementation affect profiles of ruminal microorganisms in dairy cows. Animal. 2009; 3(11):1562±9. https://doi.org/10. 1017/S1751731109990462 PMID: 22444989Fernando SC, Purvis HT 2nd, Najar FZ, Sukharnikov LO, Krehbiel CR, Nagaraja TG, et al. Rumen microbial population dynamics during adaptation to a high-grain diet. Appl Environ Microbiol. 2010; 76 (22): 7482±90. https://doi.org/10.1128/AEM.00388-10 PMID: 20851965Cherdthong A, Wanapat M, Saenkamsorn A, Supapong C, Anantasook N, Gunun P. Improving rumen ecology and microbial population by dried rumen digesta in beef cattle. Trop Anim Health Prod. 2015; 47(5): 921±6. https://doi.org/10.1007/s11250-015-0809-4 PMID: 25851930Vargas-Bello-PeÂrez E, Cancino-Padilla N, Romero J, Garnsworthy PC. Quantitative analysis of ruminal bacterial populations involved in lipid metabolism in dairy cows fed different vegetable oils. Animal. 2016; 5:1±8.Patel DD, Patel AK, Parmar NR, Shah TM, Patel JB, Pandya PR, et al. Microbial and Carbohydrate Active Enzyme profile of buffalo rumen metagenome and their alteration in response to variation in the diet. Gene. 2014; 545(1):88±94. https://doi.org/10.1016/j.gene.2014.05.003 PMID: 24797613Ribeiro CS, Granja-Salcedo YT, Messana JD, Neto AJ, Canesin RC, Fiorentini G, et al. Feeding increasing concentrate to Tifton 85 hay ratios modulated rumen fermentation and microbiota in Nellore feedlot steers. J Agric Sci. 2015; 153:1116±1127.Ribeiro JuÂnior CS, Messana JD, Granja-Salcedo YT, Canesin RC, Fiorentini G, San Vito E, et al. Parameters of fermentation and rumen microbiota of Nellore steers fed with different proportions of concentrate in fresh sugarcane containing diets. Arch Anim Nutr. 2016; 70(5):402±15. https://doi.org/10. 1080/1745039X.2016.1206737 PMID: 27415825Granja-Salcedo YT, Ribeiro JuÂnior CS, de Jesus RB, Gomez-Insuasti AS, Rivera AR, Messana JD, et al. Effect of different levels of concentrate on ruminal microorganisms and rumen fermentation in Nellore steers. Arch Anim Nutr. 2016; 70(1): 17±32. https://doi.org/10.1080/1745039X.2015.1117562 PMID: 26654381Messana JD, Carvalho ALGF, Ribeiro AF, Fiorentini G, Castagnino PS, Granja-Salcedo YT, et al. Effects of different sources of forage in high-concentrate diets on fermentation parameters, ruminal biohydrogenation and microbiota in Nellore feedlot steers. J Agric Sci. 2016; 154: 928±941.San Vito E, Messana JD, Castagnino PS, Granja-Salcedo YT, Dallantoina EE, Berchielli TT. Effect of crude glycerin in supplement on the intake, rumen fermentation, and microbial profile of Nellore steers grazing tropical grass. Liv Sci. 2016;Caporaso JG, Lauber CL, Walters WA, Berg-Lyons D, Lozupone CA et al. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. PNAS. 2011; 108: supl. 1 4516±4522.Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal. 2011; 17(1), 10±12.Schmieder R, Edwards R. Quality control and preprocessing of metagenomic datasets. Bioinformatics. 2011; 27 (6): 863±864. https://doi.org/10.1093/bioinformatics/btr026 PMID: 21278185Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD et al. QIIME allows analysis of highthroughput community sequencing data. Nat Methods. 2010; 7: 335±336. https://doi.org/10.1038/ nmeth.f.303 PMID: 20383131Cole JR, Wang Q, Fish JA, Chai B, McGarrel DM et al. Ribosomal Database Project: data and tools for high throughput rRNA analysis. Nucleic Acids Res. 2014; 42(Database issue): D633±D642. https://doi. org/10.1093/nar/gkt1244 PMID: 24288368Lozupone C, Hamady M, Knight R. UniFrac±an online tool for comparing microbial community diversity in a phylogenetic context. BMC Bioinformatics. 2006; 7: 371. https://doi.org/10.1186/1471-2105-7-371 PMID: 16893466R version 3.2.2, The R Foundation for Statistical Computing, Austria.Minato H, Endo A, Ootomo Y, Uemura T. Ecological treatise of the rumen fermentation. II. The amylolytic and cellulolytic activities of the fractionated bacterial portions attached to the rumen solids. J Gen Appl Microbiol. 1966; 12:53-69McAllister TA, Bae HD, Jones GA, Cheng KJ. Microbial attachment and feed digestion in the rumen. J Anim Sci. 1994; 72(11): 3004-3018. PMID: 7730196Morgan CA, Herman N, White PA, Vesey G. Preservation of microorganisms by dryingÐa review. J Microbiol Methods. 2006; 66(2): 183-193. https://doi.org/10.1016/j.mimet.2006.02.017 PMID: 16632005Kumar S, Kashyap PL, Singh R, Srivastava AK. Preservation and Maintenance of Microbial Cultures. In: Arora DK, Das S, Sukumar M, editors. Analyzing Microbes. Berlin Heidelberg: Springer-Verlag, 2012.Kirsop BE, Doyle A. Maintenance of microorganisms and culture cells: a manual of laboratory methods, 2nd ed. London: Academic, 1991.Chen YB, Lan DL, Tang C, Yang XN, Li J. Effect of DNA Extraction Methods on the Apparent Structure of Yak Rumen Microbial Communities as Revealed by 16S rDNA Sequencing. Pol J Microbiol. 2015; 64(1): 29-36. PMID: 26094313de Oliveira MN, Jewell KA, Freitas FS, Benjamin LA, ToÂtola MR, Borges AC, et al. Characterizing the microbiota across the gastrointestinal tract of a Brazilian Nelore steer. Vet Microbiol. 2013; 28; 164(3± 4):307-314. https://doi.org/10.1016/j.vetmic.2013.02.013 PMID: 23490556McCann JC, Wiley LM, Forbes TD, Rouquette FM Jr, Tedeschi LO. 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. Springer-Verlag Berlin Heidelberg 2013. pp 1-16.ORIGINALPDF.pdfPDF.pdfFormato Pdf texto completoapplication/pdf3235900https://bonga.unisimon.edu.co/bitstreams/96342f4b-44f3-4c8e-bc35-43debf44c939/download2a41aabe2ef944a8d90fe1d27697c1f3MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bonga.unisimon.edu.co/bitstreams/8f28d089-f788-434b-a0d1-48bc10fbfe30/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTStudies on bacterial community composition (1).pdf.txtStudies on bacterial community composition (1).pdf.txtExtracted texttext/plain50765https://bonga.unisimon.edu.co/bitstreams/d68d5775-b96b-4566-aa62-5f3d54f18b50/download1fdd2e2e97e1de80053892ef8541bbc9MD53PDF.pdf.txtPDF.pdf.txtExtracted texttext/plain56713https://bonga.unisimon.edu.co/bitstreams/2901a175-587c-4a24-aa05-d4cb64983a72/download91c0b076acf2244ebcc0d7b188edf6e8MD55THUMBNAILStudies on bacterial community composition (1).pdf.jpgStudies on bacterial community composition (1).pdf.jpgGenerated Thumbnailimage/jpeg1781https://bonga.unisimon.edu.co/bitstreams/38b07e64-d436-469f-99eb-d3f2e963a185/download40284a32cfe91a7503bdfb2a2de60108MD54PDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg6059https://bonga.unisimon.edu.co/bitstreams/0755be6f-bd9d-4d86-8e82-852b70d1950f/download393a8447878b10bb96b5f3e7b3393300MD5620.500.12442/1604oai:bonga.unisimon.edu.co:20.500.12442/16042024-07-26 03:04:19.507open.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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