Exploring the Ocean's Microbial World: Techniques and Protocols for Microbiome Research.
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| Autori principali: | , , , , |
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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Methods in molecular biology (Clifton, N.J.)
2026
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| _version_ | 1868266046452924417 |
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| author | Rangamaran, Vijaya Raghavan Sushmitha, T J Tamilmani, Karthikeyan Kathan Murugesan, Hinduja Gopal, Dharani |
| author_facet | Rangamaran, Vijaya Raghavan Sushmitha, T J Tamilmani, Karthikeyan Kathan Murugesan, Hinduja Gopal, Dharani Rangamaran, Vijaya Raghavan Sushmitha, T J Tamilmani, Karthikeyan Kathan Murugesan, Hinduja Gopal, Dharani |
| collection | PubMed - marine biology |
| contents | Exploring the Ocean's Microbial World: Techniques and Protocols for Microbiome Research. Rangamaran, Vijaya Raghavan Sushmitha, T J Tamilmani, Karthikeyan Kathan Murugesan, Hinduja Gopal, Dharani Microbiota Metagenomics High-Throughput Nucleotide Sequencing RNA, Ribosomal, 16S Oceans and Seas Seawater Computational Biology Marine microbiomes play a crucial role in oceanic ecosystems, influencing biogeochemical cycles, climate regulation, and marine biodiversity. Accurate characterization of these microbial communities requires standardized protocols for sample collection, processing, sequencing and data analysis. This chapter provides a comprehensive guide to essential methodologies for marine microbiome research including field sampling strategies, DNA and RNA extraction techniques, high-throughput sequencing approaches (such as 16S rRNA amplicon sequencing and metagenomics) and bioinformatics pipelines for data interpretation. Additionally, we discuss quality control measures, best practices for reproducibility, and challenges associated with marine microbiome profiling. By adopting standardized methodologies, researchers can generate reliable, comparable datasets that enhance our understanding of marine microbial ecology and its broader environmental implications. |
| format | Artículo científico |
| id | pubmed_42156649 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Methods in molecular biology (Clifton, N.J.) |
| record_format | pubmed |
| spellingShingle | Exploring the Ocean's Microbial World: Techniques and Protocols for Microbiome Research. Rangamaran, Vijaya Raghavan Sushmitha, T J Tamilmani, Karthikeyan Kathan Murugesan, Hinduja Gopal, Dharani Microbiota Metagenomics High-Throughput Nucleotide Sequencing RNA, Ribosomal, 16S Oceans and Seas Seawater Computational Biology Exploring the Ocean's Microbial World: Techniques and Protocols for Microbiome Research. Rangamaran, Vijaya Raghavan Sushmitha, T J Tamilmani, Karthikeyan Kathan Murugesan, Hinduja Gopal, Dharani Microbiota Metagenomics High-Throughput Nucleotide Sequencing RNA, Ribosomal, 16S Oceans and Seas Seawater Computational Biology Marine microbiomes play a crucial role in oceanic ecosystems, influencing biogeochemical cycles, climate regulation, and marine biodiversity. Accurate characterization of these microbial communities requires standardized protocols for sample collection, processing, sequencing and data analysis. This chapter provides a comprehensive guide to essential methodologies for marine microbiome research including field sampling strategies, DNA and RNA extraction techniques, high-throughput sequencing approaches (such as 16S rRNA amplicon sequencing and metagenomics) and bioinformatics pipelines for data interpretation. Additionally, we discuss quality control measures, best practices for reproducibility, and challenges associated with marine microbiome profiling. By adopting standardized methodologies, researchers can generate reliable, comparable datasets that enhance our understanding of marine microbial ecology and its broader environmental implications. |
| title | Exploring the Ocean's Microbial World: Techniques and Protocols for Microbiome Research. |
| topic | Microbiota Metagenomics High-Throughput Nucleotide Sequencing RNA, Ribosomal, 16S Oceans and Seas Seawater Computational Biology |
| url | https://pubmed.ncbi.nlm.nih.gov/42156649/ |