DNA Sequencing Techniques & Technologies PDF

Summary

This document provides an overview of DNA sequencing technologies and how they have revolutionized microbiology. The document also discusses different DNA sequencing methods with examples. It delves into subsequent analyses of the DNA, and their applications across diverse biological fields.

Full Transcript

3-3: Genomics Lecture Overview: • DNA sequencing technologies and how they have revolutionized microbiology. “omics” technologies: genomics, metagenomics, transcriptomics & proteomics. • Sections: 10.1, 10.2, 10.7-10.9 DNA sequencing – First complete genome Craig Venter has been a major name in DN...

3-3: Genomics Lecture Overview: • DNA sequencing technologies and how they have revolutionized microbiology. “omics” technologies: genomics, metagenomics, transcriptomics & proteomics. • Sections: 10.1, 10.2, 10.7-10.9 DNA sequencing – First complete genome Craig Venter has been a major name in DNA sequencing. Used “Shotgun sequencing” – sequence random bits of DNA, let computers figure out how it all fits together. Faster/more efficient than more structured approach used originally First genome of a free-living organism – bacterium H. influenzae (pathogen, causes meningitis, pneumonia…but doesn’t cause the flu) Published in Science in 1995 DNA sequencing – a revolution As an example, more than 300,000 Salmonella genomes have been fully sequenced (number out of date) & this data is deposited in sequence databases online. DNA sequencing – right here in Alberta DNA sequencing – now very accessible It’s now $90 to sequence a complete genome (including some annotation/data analysis!!!) Done in 1-2 days Wowzers!! (complete genomes no longer get you a paper in the top journal “Science”) DNA sequencing - Sanger o Developed by Fredrick Sanger in 1970s – Nobel prize (one of his two!) o Based on DNA polymerase building a complementary strand using: (i) mostly normal dNTPs and (ii) rare special dNTPs that lack a 3’OH and therefore cannot be elongated further o Special “ddNTPs” each labelled a different way (different fluorophores) o Build DNAs of different lengths, each terminated with a labelled ddNTP o Determine sequence based on identity of terminating residues (e.g. – 26 nt sequence terminated with a “T”, 27 nt sequence terminated with a “G”, etc.) Sanger sequencing – still used today for smaller sequencing projects DNA sequencing - Sanger Strand to be sequenced! 3’OH missing in ddNTPs! DNA polymerase 5’ P P P T OH-3’ Short DNA primer Template strand Modified from image at www.goldbio.com DNA sequencing: “Next generation” – massively parallel sequencing o Different variations - Illumina sequencing popular o Chips generate millions of “clusters”, each represents (many copies of) a different DNA molecule being sequenced Reversibly terminated dNTPs used: o Insert one labelled residue, take an image (A, C, G, T each a different colour of fluorophore) o Unblock the 3’ end so you can add another residue. Repeat. o Each round, you get an image of what residue is at each cluster for that position (1st nt, 2nd, 3rd…) Illumina image – each dot a different cluster. Next round a new image of the same clusters will be taken to reveal the sequence of the next nt DNA sequencing: annotation o DNA sequencing has limited utility without annotation – identifying the genes, their putative functions, etc. o Largely done automatically (computers)…useful but many mistakes, things missed, incorrect assumptions o Identify genes based on homology to known genes – many “unknown function” or “putative XXXX” o Annotation & analysis lag behind sequencing Textbook Fig 10.6 An example of how computers might identify an ORF (open reading frame – protein-coding sequence) Genome sequencing – what can it tell us? Asgard Archeas What we know about these all from genome Sequencing ... comes genes , metabolism , virulence .... etc. . What genes are present/absent & the sequences of each gene o Metabolic capabilities of an organism things o Virulence genes, antibiotic resistance genes, etc o Unusual mutations that account for unusual phenotypes o Discover new genes that might be of medical/industrial interest o etc… I can * a even tell as bout a we lot already . know ↳ S peci fic resistance Provides DNA blueprint required for many studies/analyses o Genetics approaches (e.g. making mutations to genes) Lygene o Transcriptomics, qPCR, etc – studies of RNA expression o Proteomics – studies of proteins o Genome-wide mutagenesis studies (looking at the effects of many different mutations in parallel) ↳Needs DNA blueprints for .... deletions Antibiotic Genome sequencing – what can it tell us? Functional & metabolic predictions for a Vampirovibrio chlorellavorus strain based on its genome sequence. Metagenomics o Metagenomics is the study of the complete genetic content of an environmental sample o Massive sequencing of DNA purified from environmental samples can provide genomic information (sometimes even complete genomes) for organisms that cannot be cultured in the lab o Can tell us about the composition of microbial communities & how that composition changes o Can also look at gene level. E.g. – how does the frequency of antibiotic resistance genes compare in the microbiomes of animals from different farms? Textbook - Fig 10.17 Transcriptomics: RNA-seq o RNA can be converted to DNA using a process called reverse transcription, which can then be sequenced via next-generation methods o Can get a complete picture of the relative abundance of all of the transcripts in the cell under a given set of conditions o One way this is used is comparing expression under different conditions. E.g. – which genes does a pathogen specifically express during infection? RNA-seq identifies S. aureus genes whose expression goes up (green) or down (red/orange) during infection compared to when grow in the lab Ibberson & Whiteley, mBio, 2019 Proteomics o Another important “omics” technology is proteomics. o Often relies on knowing the genomic DNA sequence, but doesn’t use DNA sequencing. o Instead, uses mass spectrometry to identify proteins/protein levels o Like RNA-seq, can tell you what proteins are present under which conditions. Can also be used in many other creative ways. E.g. which proteins interact with a protein of interest Textbook - Fig 10.23

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