Next-Generation Sequencing (NGS): new technologies to access microbial communities
DOI:
https://doi.org/10.35642/rm.v8i1.1248Keywords:
Sequencing, Technologies, Microorganisms, Diversity, DataAbstract
Next-Generation Sequencing (NGS) are platforms capable of generating millions of DNA or RNA sequence data in a single round through in vitro cloning, a technique used to amplify the number of molecules for analysis. However, it is necessary to gather information that enables researchers to determine the best methodology for their work. Therefore, the objective of this article is to conduct a literature review on NGS technologies, comparing them with each other and with more traditional methods, highlighting their importance in agricultural and environmental microbiology. The Sanger method is currently the most well-known sequencing technique. However, NGS platforms employ methodologies that streamline sequencing and the advancement in these techniques have significantly reduced sequencing costs. To carry out the studies, data from articles and platforms developed by companies that own these technologies were used to perform comparisons and analyses on the topic. Therefore, this manuscript is a bibliographic research and characterized as review article. While several second-generation sequencing platforms are available on the market, most are expensive and restricted to a few countries. There is still difficulty in finding suitable algorithms to analyze the amount of data generated. Nevertheless, NGS methods have generated good expectations and promise important advancements in studies aimed at accessing and identifying the groups that make up the microbial community structure in environmental research.
Downloads
References
ALDERBORN, A.; KRISTOFFERSON, A.; HAMMERLING, U. Determination of Single-Nucleotide Polymorphisms by Real-time Pyrophosphate DNA Sequencing. Genome research, v.10, p.1249–1258, 2000. DOI: https://doi.org/10.1101/gr.10.8.1249. DOI: https://doi.org/10.1101/gr.10.8.1249
ALLEN, R. A.; WILLIAMS, C. L.; PENROD, Y.; MCCLOSKEY, C.; CARPENTER‐AZEVEDO, K.; HUARD, R. C.; KING, E.; DUNN, S. T. A pyrosequencing protocol for rapid identification of SARS‐CoV‐2 variants. Journal of Medical Virology, v. 94, n. 8, p. 3661-3668, 2022. DOI: https://doi.org/10.1002/jmv.27770. DOI: https://doi.org/10.1002/jmv.27770
ANDREOTO, F.D. Análise genômica e transcriptômica de Methylobacterium mesophilicum SR1.6/6 em interação com a planta hospedeira. 2011. 80f. Dissertação (Mestrado) - Escola Superior de Agricultura "Luiz de Queiroz", Piracicaba-SP, 2011.
ANJOS, L. M. Diversidade genética de Plasmopara viticola e mapeamento de QTLs de resistência ao míldio em videira (Vitis spp.). Brasília, Novembro 2013.277p. : il. Tese (Doutorado). Programa de Pós-graduação em Fitopatologia, Universidade de Brasília, Brasília. 227p. 2013.
ANSORGE, Wilhelm J. Next-generation DNA sequencing techniques. New biotechnology, v. 25, n. 4, p. 195-203, 2009. DOI: https://doi.org/10.1016/j.nbt.2008.12.009 DOI: https://doi.org/10.1016/j.nbt.2008.12.009
ATHANASOPOULOU, K.; BOTI, M. A.; ADAMOPOULOS, P. G.; SKOUROU, P. C.; SCORILAS, A. Third-generation sequencing: the spearhead towards the radical transformation of modern genomics. Life, v. 12, n. 1, p. 30, 2021. DOI: https://doi.org/10.3390/life12010030. DOI: https://doi.org/10.3390/life12010030
BARBA, M.; CZOSNEK, H.; HADIDI, A. Historical perspective, development and applications of next-generation sequencing in plant virology. Virus, v.6, p.106-136, 2014. DOI: https://doi.org/10.3390/v6010106 DOI: https://doi.org/10.3390/v6010106
BOISVERT, S.; LAVIOLETTE, F.; CORBEIL, J. Ray: simultaneous assembly of reads from a mix of high-throughput sequencing technologies. Journal of computational biology, v.17, p.1519–1533, 2010. DOI: https://doi.org/10.1089/cmb.2009.0238 DOI: https://doi.org/10.1089/cmb.2009.0238
BOKULICH, N. A. et al. Next-Generation Sequencing Reveals Significant Bacterial Diversity of Botrytized Wine. Plos one, v.8, n. 10, p.1-10, 2012. DOI: https://doi.org/10.1371/journal.pone.0036357 DOI: https://doi.org/10.1371/annotation/4d347090-bca1-4184-a5d5-bc2d38baec7d
BROWN, S. P.; CALLAHAM JR, M. C.; OLIVER, A. K.; JUMPPONEN, A. Deep Ion Torrent sequencing identifies soil fungal community shifts after frequent prescribed fires in a southeastern US forest ecosystem. FEMS Microbiology Ecology, v. 86, p.557–566, 2013. DOI: https://doi.org/10.1111/1574-6941.12181. DOI: https://doi.org/10.1111/1574-6941.12181
BUTLER, J.; MACCALLUM, I.; KLEBER, M.; SHLYAKHTER, I. A.; BELMONTE, M. K.; LANDER,E. S.; NUSBAUM, C. ; JAFFE, D. B. Allpaths: de novo assembly of wholegenome shotgun microreads. Genome Research, v.18, p. 810–820, 2008. DOI: https://doi.org/10.1101/gr.7337908 DOI: https://doi.org/10.1101/gr.7337908
CAPORASO, J. G. et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. The ISME journal, v.6, n. 8, p.1621–1624, 2012. DOI: https://doi.org/10.1038/ismej.2012.8. DOI: https://doi.org/10.1038/ismej.2012.8
CHEVREUX, B. MIRA: an automated genome and EST assembler. 2007. Disponível em: https://archiv.ub.uni-heidelberg.de/volltextserver/7871/1/thesis_zusammenfassung.pdf. Acesso em: 01 jul. 2016.
CHEVREUX, B.; WETTER, T.; SUHAI, S. Genome sequence assembly using trace signals and additional sequence information. Journal of Computer Science & Systems Biology, v.99, p. 45–56, 1999. Disponível em: https://xueshu.baidu.com/usercenter/paper/show?paperid=871ec78542a2b2c43b1a3ce337066be1. Acesso em: 01 jul. 2016.
COLLINS, M. D.; HUTSON, R. A.; FALSEN. E.; SJÖDÉN, B. Facklamia tabacinasalis sp. nov., from powdered tobacco. International journal of systematic bacteriology, v.49, p.1247-1250, 1999. DOI: https://doi.org/10.1099/00207713-49-3-1247. DOI: https://doi.org/10.1099/00207713-49-3-1247
CONWAY, T. C.; BROMAGE, A. J. Succinct data structures for assembling large genomes. Bioinformatics, v.27, p.479–486, 2011. DOI: https://doi.org/10.1093/bioinformatics/btq697 DOI: https://doi.org/10.1093/bioinformatics/btq697
COUTO, A. D.; CERQUEIRA, F. R.; GUERRA, R. L.; GONÇALVES, L. B.; GOULART, C. C.; SIQUEIRA-BATISTA, R.; FERREIRA, R. S.; OLIVEIRA, A. P. Theoretical basis of a new method for dna fragment assembly in k-mer graphs. 31st International Conference of the Chilean Computer Science Society, 2012. DOI: https://doi.org/10.1109/SCCC.2012.16 DOI: https://doi.org/10.1109/SCCC.2012.16
DI MAIUTA, N. et al. Microbial population dynamics in the faeces of wood-eating loricariid catfishes. Letters in applied microbiology, v.56, n. 6, p.401-407, 2013. DOI: https://doi.org/10.1111/lam.12061. DOI: https://doi.org/10.1111/lam.12061
DURBIN, R. M. et al. A map of human genome variation from population-scale sequencing. Nature, v. 467, p.1061-1073, 2010. DOI: https://doi.org/10.1038/nature09534. DOI: https://doi.org/10.1038/nature09534
FELSKE, A.; AKKERMANS, A. D. L.; VOS, W. M. In situ detection of an uncultured predominant bacillus in Dutch grassland soils. Applied and environmental microbiology, v.64, p.4588–4590, 1998. DOI: https://doi.org/10.1128/AEM.64.11.4588-4590.1998 DOI: https://doi.org/10.1128/AEM.64.11.4588-4590.1998
HALL, N. Advantages sequencing technologies and their wider impact in microbiology. The journal of experimental biology, v. 209, p.1518-1525, 2007. DOI: https://doi.org/10.1242/jeb.001370 DOI: https://doi.org/10.1242/jeb.001370
HU, T.; CHITNIS, N.; MONOS, D.; DINH, A. Next-generation sequencing technologies: An overview. Human Immunology, v. 82, n. 11, p. 801-811, 2021. DOI: https://doi.org/10.1016/j.humimm.2021.02.012. DOI: https://doi.org/10.1016/j.humimm.2021.02.012
HUSE, S. M.; HUBER, J. A.; MORRISON, H. G.; SOGIN, M. L.; WELCH, D. M. Accuracy and quality of massively parallel DNA pyrossequencing. Genome biology, v.8, p.1-9, 2007. DOI: https://doi.org/10.1186/gb-2007-8-7-r143 DOI: https://doi.org/10.1186/gb-2007-8-7-r143
KOCHE, J. C. Fundamentos de metodologia científica: teoria da ciência e iniciação à pesquisa. 34. ed. Petrópolis, RJ: Vozes, 2015.
LANDER, E.S. et al. Initial sequencing and analysing of the human genome. Nature, v. 409, p.860-921, 2001. DOI: https://doi.org/10.1038/35057062. DOI: https://doi.org/10.1038/35057062
LEMOS, L. N.; FULTHORPE, R. R.; TRIPLETT, E. W.; ROESCH, L. F.. Rethinking microbial diversity analysis in the high throughput sequencing era. Journal of microbiological methods, v.86, p.42–51, 2011. DOI: https://doi.org/10.1016/j.mimet.2011.03.014 DOI: https://doi.org/10.1016/j.mimet.2011.03.014
LI, R.; ZHU, H.; RUAN, J.; QIAN, W.; FANG, X.; SHI, Z.; LI, Y.; LI, S. et al. De novo assembly of human genomes with massively parallel short read sequencing. Genome research, v.20, p.265–272, 2010. DOI: https://doi.org/10.1101/gr.097261.109 DOI: https://doi.org/10.1101/gr.097261.109
LIFE TECHNOLOGIES CORPORATION. Longer read lengths improve bacterial identification using 16s rRNA Gene Sequencing on Theion PGM™ System. Your Innovative Research, p.1-6, 2013. Disponível em: https://assets.thermofisher.com/TFS-Assets/LSG/brochures/16S-rRNA-Gene-Sequencing-App-Note.pdf. Acesso em: 20 mar. 2016.
LIMA, Milena Tavares. Análise funcional de um consórcio microbiano de solo e prospecção de genes envolvidos na desconstrução da biomassa. 2014. iii, 45 p. Dissertação (mestrado) - Universidade Estadual Paulista Júlio de Mesquita Filho, Faculdade de Ciências Agrárias e Veterinárias de Jaboticabal, 2014. Disponível em: http://hdl.handle.net/11449/121846. Acesso em: 20 mar. 2016.
LIU, L.; LI, Y.; LI, S.; HU, N.; HE, Y.; PONG, R.; LIN, D.; LU, L.; LAW, M. Comparison of Next-Generation Sequencing Systems. Journal of biomedicine and biotechnology, p.1-12, 2012. DOI: https://doi.org/10.1155/2012/251364. DOI: https://doi.org/10.1155/2012/251364
LOMAN, N. J.; MISRA, R. V.; DALLMAN, T. J.; CONSTANTINIDOU, C.; GHARBIA, S. E.; WAIN, J.; PALLEN, M. J. Performance comparison of benchtop high-throughput sequencing platforms. Nature biotechnology, v.30, n.5, p.434-562, 2012. DOI: https://doi.org/10.1038/nbt.2198. DOI: https://doi.org/10.1038/nbt.2198
MA, J.; WANG, Z.; ZOU, X.; FENG, J.; WU, Z.Microbial communities in an anaerobic dynamic membrane bioreactor (AnDMBR) for municipal wastewater treatment: Comparison of bulk sludge and cake layer. Process biochemistry, v.48, n. 3, p.510–516, 2013. DOI: https://doi.org/10.1016/j.procbio.2013.02.003 DOI: https://doi.org/10.1016/j.procbio.2013.02.003
MADROÑERO, L. J. Análise trancriptômica da interação mamoeiro-Papaya Meleira Virus. 2014. 76 f. : il. Dissertação (Mestrado em Biotecnologia) – Universidade Federal do Espírito Santo, Centro de Ciências da Saúde.
MADSEN, A.M.; ZERVAS, A.; TENDAL, K.; NIELSEN, J. L. Microbial diversity in bioaerosol samples causing ODTS compared to reference bioaerosol samples as measured using Illuminas equencing and MALDI TOF. Environmental research, v.140, p.255–267, 2015. DOI: https://doi.org/10.1016/j.envres.2015.03.027 DOI: https://doi.org/10.1016/j.envres.2015.03.027
MARGULIES, M. et al. Genome Sequencing in Open Microfabricated High Density Picoliter Reactors. Nature, v. 437, p. 376–380. 2005. DOI: https://doi.org/10.1038/nature03959. DOI: https://doi.org/10.1038/nature03959
MILLER, J. R.; KOREN, S.; SUTTON, G. Assembly algorithms for next-generation sequencing data. Genomics, v.95, p. 315-327, 2010. DOI: https://doi.org/10.1016/j.ygeno.2010.03.001. DOI: https://doi.org/10.1016/j.ygeno.2010.03.001
MYERS, E. W. et al. A whole-genome assembly of drosophila. Science, v.287, p.2196–2204, 2000. DOI: https://doi.org/10.1126/science.287.5461.2196 DOI: https://doi.org/10.1126/science.287.5461.2196
NAGARAJAN, N.; POP, M. Sequence assembly demystified. Nature Review Genetics, v.14, p.157–167, 2013. DOI: https://doi.org/10.1038/nrg3367 DOI: https://doi.org/10.1038/nrg3367
NIKOLAKI, S.; TSIAMIS, G. Microbial diversity in the era of omic technologies. BioMed Research International, v.2013, p.1-15, 2013. DOI: http://dx.doi.org/10.1155/2013/958719 DOI: https://doi.org/10.1155/2013/958719
OLSON, M. V. The human genome project. Proceedings of the National Academy of Sciences, v. 90, n. 10, p. 4338-4344, 1993. DOI: https://doi.org/10.1073/pnas.90.10.4338. DOI: https://doi.org/10.1073/pnas.90.10.4338
ORLANDO, L. et al. True single-molecule DNA sequencing of a pleistocene horse bone. Genome Research, v. 21, p. 1705–1719. DOI: https://doi.org/10.1101/gr.122747.111 DOI: https://doi.org/10.1101/gr.122747.111
OXFORD NANOPORE TECHNOLOGIES. Disponível em: www.nanoporetech.com. Acesso em: 01 jul. 2016.
PETTERSSON, E.; LUNDEBERG, J.; AHMADIAN, A. Generations of sequencing technologies. Genomics, v. 93, n. 2, p. 105-111, 2009. DOI: https://doi.org/10.1016/j.ygeno.2008.10.003. DOI: https://doi.org/10.1016/j.ygeno.2008.10.003
PYLRO, V. S.; ROESCH, L. F. W.; MORAIS, D. K.; CLARK, I. M.; HIRSCH, P. R.; TÓTOLA, M. R. Data analysis for 16S microbial profiling from different benchtop sequencing platforms. Journal of Microbiological Methods, v.107, p.30–37, 2014. DOI: https://doi.org/10.1016/j.mimet.2014.08.018 DOI: https://doi.org/10.1016/j.mimet.2014.08.018
PEVZNER, P.A.; TANG, H., WATERMAN, M.S. An Eulerian path approach to DNA fragment assembly. Proceedings of the National Academy of Sciences, vol. 98, no. 17, 9748-9753, 2001. DOI: https://doi.org/10.1073/pnas.171285098. DOI: https://doi.org/10.1073/pnas.171285098
QUICK, J.; QUINLAN, A.R.; LOMAN, N.J. A reference bacterial genome dataset generated on the MinION™ portable single-molecule nanopore sequencer. GigaScience, v.3, n.22, p.1-6, 2014. DOI: https://doi.org/10.1186/2047-217X-3-22 DOI: https://doi.org/10.1186/2047-217X-3-22
RAMACHANDRAN, A.; LIU, Y.; ASQHAR, W.; IQBAL, S. M. Characterization of DNA-nanopore INteretions by Molecular Dynamics. American journal of biomedical sciences, v.1, p.344-351, 2009. DOI: https://doi.org/10.5099/aj090400344. DOI: https://doi.org/10.5099/aj090400344
RAUEN, F. J. Roteiros de investigação científica. 2. ed. Tubarão: Unisul, 2018.
RAVIN, N. V. Modern Methods of Genome Sequencing and Their Application for Deciphering Genomes of Microorganisms. Applied Biochemistry and Microbiology, V.46, p.663–670, 2010. DOI: http://dx.doi.org/10.1134/S000368381007001X. DOI: https://doi.org/10.1134/S000368381007001X
RHOADS, A.; AU, K. F. PacBio sequencing and its applications. Genomics proteomics bioinformatics, v.13, p.278–289, 2015. DOI: http://dx.doi.org/10.1016/j.gpb.2015.08.002. DOI: https://doi.org/10.1016/j.gpb.2015.08.002
ROBERTS, R.J.; CARNEIRO, M.O.; SCHARTZ, M.C. The advantages of SMRT sequencing. Genome biology, v.14, n.405, p.1-4, 2013. DOI: http://doi.org/10.1186/gb-2013-14-7-405. DOI: https://doi.org/10.1186/gb-2013-14-6-405
ROESCH, L.F.W. et al. Pyrosequencing enumerates and contrasts soil microbial diversity. The ISME journal, v.1, n. 4, p.283–290, 2007. DOI: http://doi.org/10.1038/ismej.2007.53 DOI: https://doi.org/10.1038/ismej.2007.53
RONAGHI, M. Pyrosequencing Sheds Light on DNA Sequencing. Genome research, v.11, p.3-11, 2001. DOI: http://doi.org/10.1101/gr.11.1.3. DOI: https://doi.org/10.1101/gr.11.1.3
RONAGHI, M.; KARAMOHAMED, S.; PETTERSON, B.; UHLÉN, M.; NYRÉN, P. Real-Time DNA Sequencing Using Detection of Pyrophosphate Release. Analytical Biochemistry, v.242, p.84-89, 1996. DOI: http://dx.doi.org/10.1006/abio.1996.0432. DOI: https://doi.org/10.1006/abio.1996.0432
SANGER, F.; COULSON, A. R.; BARREL, B. G.; SMITH, A. J. H.; ROE, B. A. Cloning in Single-stranded Bacteriophage as an Aid to Rapid DNA Sequencing. J. Mol. Biol. v.143, p.161-178, 1980. DOI: https://doi.org/10.1016/0022-2836(80)90196-5. DOI: https://doi.org/10.1016/0022-2836(80)90196-5
SANGER, F.; COULSON, A. R.; FRIEDMANN, T.; AIR, G. M.; BARRELL, B. G.; BROWN, N. L.; FIDDES, J. C.; HUTCHISON, C. A.; SLOCOMBE, P. M.; SMITH, M. The Nucleotide Sequence of Bacteriophage ØX174. Journal of molecular biology, v.125, p.225-246, 1978. DOI: https://doi.org/10.1016/0022-2836(78)90346-7. DOI: https://doi.org/10.1016/0022-2836(78)90346-7
SANGER, F.; NICKLEN, S.; COULSON, A.R. DNA sequencing with chain-terminating inhibitors. Procedings of the national academy of sciences USA, v.74, p.5463-5467, 1977. DOI: https://doi.org/10.1073/pnas.74.12.5463. DOI: https://doi.org/10.1073/pnas.74.12.5463
SATAM, H.; JOSHI, K.; MANGROLIA, U.; WAGHOO, S.; ZAIDI, G.; RAWOOL, S.; TRAKARE, R. P.; BANDAY, S.; MISHRA, A. K.; DAS, G; MALONIA, S. K. Next-generation sequencing technology: current trends and advancements. Biology, v. 12, n. 7, p. 997, 2023. DOI: https://doi.org/10.3390/biology12070997. DOI: https://doi.org/10.3390/biology12070997
SCHADT, E. E.; TURNER, S.; KASARSKIS, A. A window into third-generation sequencing. Human Molecular Genetics, v.19, p.227–240, 2010. DOI: https://doi.org/10.1093/hmg/ddq416. DOI: https://doi.org/10.1093/hmg/ddq416
SCHATZ, M. C.; DELCHER, A. L.; SALZBERG, S. L. Assembly of large genomes using second-generation sequencing. Genome research, v.20, pp.1165–1173, 2010. DOI: https://doi.org/10.1101/gr.101360.109 DOI: https://doi.org/10.1101/gr.101360.109
SEQUENCING PLATFORMS. Disponível em: http://www.illumina.com. Acesso em: 20 dez. 2014.
SHENDURE, J.; JI, H. Next-generation DNA sequencing. Nature Biotecnologie, v.26, p.1135-1145, 2008. DOI: https://doi.org/10.1038/nbt1486 DOI: https://doi.org/10.1038/nbt1486
SHOKRALLA, S.; SPALL,J. L.; GIBSON, J. F.; HAJIBABAEI, M. Next-generation sequencing technologies for environmental DNA research. Molecular Ecology, v.21, p.1794–1805, 2012. DOI: https://doi.org/10.1111/j.1365-294X.2012.05538.x. DOI: https://doi.org/10.1111/j.1365-294X.2012.05538.x
SILVA, K. N. Caracterização molecular de Johnsongrass mosaic virus em plantas forrageiras dos gêneros Brachiaria, Panicum e Pennisetum. Brasília, 2015.p.111. Dissertação (Mestrado). Programa de Pós-graduação em Fitopatologia, Universidade de Brasília, Brasília.
SIMPSON, J. T.; WONG, K.; JACKMAN, S. D.; SCHEIN, J. E.; JONES, S. J.; BIROL,N. Abyss: A parallel assembler for short read sequence data. Genome research, v.19, p. 1117–1123, 2009. DOI: https://doi.org/10.1101/gr.089532.108 DOI: https://doi.org/10.1101/gr.089532.108
SOMMER, D.; DELCHER, A.; SALZBERG, S. ; POP, M. Minimus: a fast, lightweight genome assembler. BMC bioinformatics, v.8, p.1-11, 2007. DOI: https://doi.org/10.1186/1471-2105-8-64 DOI: https://doi.org/10.1186/1471-2105-8-64
STADEN, R. A Strategy of DNA sequencing employing computer programs. Nucelic Acids Research, v.6, n.7, p.1-10, 1979. DOI: https://doi.org/10.1093/nar/6.7.2601 DOI: https://doi.org/10.1093/nar/6.7.2601
SUMINDA, G. G. D.; GHOSH, M.; SON, Y. The innovative informatics approaches of high-throughput technologies in livestock: spearheading the sustainability and resiliency of agrigenomics research. Life, v. 12, n. 11, p. 1893, 2022. DOI: https://doi.org/10.3390/life12111893. DOI: https://doi.org/10.3390/life12111893
TREFFER, R.; DECKER, V. Recent advances in single-molecule sequencing. Current Opinion in Biotechnology, v.21, n. 1, p.4–11, 2010. DOI: https://doi.org/10.1016/j.copbio.2010.02.009 DOI: https://doi.org/10.1016/j.copbio.2010.02.009
WANG, Y.; ZHAO, Y.; BOLLAS, A.; WANG, Y.; AU, K. F. Nanopore sequencing technology, bioinformatics and applications. Nature biotechnology, v. 39, n. 11, p. 1348-1365, 2021. DOI: https://doi.org/10.1038/s41587-021-01108-x. DOI: https://doi.org/10.1038/s41587-021-01108-x
YERGEAU, E.; LAWRENCE, J. R.; SANSCHAGRIN, S.; WAISER, M. J.; KORBER, D. R.; GREER, C. W. Next-Generation Sequencing of Microbial Communities in the Athabasca River and Its Tributaries in Relation to Oil Sands Mining Activities. Applied and environmental microbiology, v.78, n.21, p.7626–7637, 2012. DOI: https://doi.org/10.1128/AEM.02036-12 DOI: https://doi.org/10.1128/AEM.02036-12
ZERBINO, D. R.; BIRNEY, E. Velvet: Algorithms for de novo short read assembly using de bruijin graphs. Genome Research, v.18, p. 821–829, 2008. DOI: https://doi.org/10.1101/gr.074492.107 DOI: https://doi.org/10.1101/gr.074492.107
ZHANG, J.; CHIODINI, R.; BADR, A.; ZHANG, G. The impact of next-generation sequencing on genomics. Journal of genetics and genômics, v. 38, n. 3, p.96-109, 2011. DOI: https://doi.org/10.1016/j.jgg.2011.02.003. DOI: https://doi.org/10.1016/j.jgg.2011.02.003
ZHANG, L. et al. Advances in metagenomics and its application in environmental microorganisms. Frontiers in microbiology, v. 12, p. 766364, 2021. DOI: https://doi.org/10.3389/fmicb.2021.766364. DOI: https://doi.org/10.3389/fmicb.2021.766364
ZHANG,H.; SUN, Z.; LIU, B.; XUAN, Y.; JIANG, M.; PAN, Y.; ZHANG, Y.; GONG, Y.; LU, X.; YU, D.; KUMAR, D.; HU, X.; CAO, G.; XUE, R.; GONG, C. Dynamic changes of microbial communities in Litopenaeus vannamei cultures and the effects of environmental factors. Aquaculture, v.455, p.97-108, 2016. DOI: https://doi.org/10.1016/j.aquaculture.2016.01.011. DOI: https://doi.org/10.1016/j.aquaculture.2016.01.011
ZIMMER, A.; DURAND, C.; LOIRA, N.; DURRENS, P.; SHERMAN, D. J.; MARULLO, P. QTL. Dissection of Lag Phase in Wine Fermentation Reveals a New Translocation Responsible for Saccharomyces cerevisiae adaptation to sulfite. Plos One, v.9, 2014. DOI: https://doi.org/10.1371/journal.pone.0086298 DOI: https://doi.org/10.1371/journal.pone.0086298
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Revista Macambira

This work is licensed under a Creative Commons Attribution 4.0 International License.

