Enhanced Recovery of Microbial Genes and Genomes From a Marine Water Column Using Long-Read Metagenomics
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作者:
Haro-Moreno, Jose M.
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Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, SpainUniv Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain
Haro-Moreno, Jose M.
[1
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Lopez-Perez, Mario
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Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, SpainUniv Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain
Lopez-Perez, Mario
[1
]
Rodriguez-Valera, Francisco
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Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain
Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Age Related Dis, Dolgoprudnyi, RussiaUniv Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain
Rodriguez-Valera, Francisco
[1
,2
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机构:
[1] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain
[2] Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Age Related Dis, Dolgoprudnyi, Russia
Third-generation sequencing has penetrated little in metagenomics due to the high error rate and dependence for assembly on short-read designed bioinformatics. However, second-generation sequencing metagenomics (mostly Illumina) suffers from limitations, particularly in the assembly of microbes with high microdiversity and retrieval of the flexible (adaptive) fraction of prokaryotic genomes. Here, we have used a third-generation technique to study the metagenome of a well-known marine sample from the mixed epipelagic water column of the winter Mediterranean. We have compared PacBio Sequel II with the classical approach using Illumina Nextseq short reads followed by assembly to study the metagenome. Long reads allow for efficient direct retrieval of complete genes avoiding the bias of the assembly step. Besides, the application of long reads on metagenomic assembly allows for the reconstruction of much more complete metagenome-assembled genomes (MAGs), particularly from microbes with high microdiversity such as Pelagibacterales. The flexible genome of reconstructed MAGs was much more complete containing many adaptive genes (some with biotechnological potential). PacBio Sequel II CCS appears particularly suitable for cellular metagenomics due to its low error rate. For most applications of metagenomics, from community structure analysis to ecosystem functioning, long reads should be applied whenever possible. Specifically, for in silico screening of biotechnologically useful genes, or population genomics, long-read metagenomics appears presently as a very fruitful approach and can be analyzed from raw reads before a computationally demanding (and potentially artifactual) assembly step.
机构:
Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, SpainUniv Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, Spain
Haro-Moreno, Jose M.
Cabello-Yeves, Pedro J.
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Univ Valencia, Cavanilles Inst Biodivers & Evolutionary Biol, Valencia 46980, SpainUniv Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, Spain
Cabello-Yeves, Pedro J.
Garcillan-Barcia, M. Pilar
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Univ Cantabria, Consejo Super Invest Cient, Inst Biomed & Biotecnol Cantabria IBBTEC, Santander, SpainUniv Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, Spain
Garcillan-Barcia, M. Pilar
Zakharenko, Alexandra
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Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk, RussiaUniv Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, Spain
Zakharenko, Alexandra
Zemskaya, Tamara I.
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Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk, RussiaUniv Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, Spain
Zemskaya, Tamara I.
Rodriguez-Valera, Francisco
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Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, SpainUniv Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, San Juan Alicante, Alicante 03550, Spain