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Experimentation

QuestionAnswer
Taking The Measure of a Microbial Ecosystem: has to take into account the structures and functions. Diversities of microorganisms in nature and how different guilds interact. Activities and their effects on ecosystems.
Culture-Dependent Analyses of Microbial Communities: include Enrichment Culture Microbiology, Classical Procedures for Isolating Microbes, and Selective Single-Cell Isolation.
Enrichment Culture Microbiology: Uses selective growth conditions to favor the proliferation of specific microbes from a mixed community.
Classical Procedures for Isolating Microbes: Obtains pure microbial cultures using techniques like streak plating, dilution, and colony selection.
Selective Single-Cell Isolation: Separates individual microbial cells using micromanipulation, flow cytometry, or microfluidics for targeted study.
Inoculum: the sample from which microorganisms will be isolated.
Enrichment: select for desired organisms through manipulation of medium and incubation conditions. This means favoring the growth of target organisms while inhibiting the growth of non-target organisms.
Isolation: the separation of individual populations from the mixed community.
Enrichment Culture Outcomes: Successful enrichment cultures provide the necessary nutrients and conditions for target organisms to grow and indicate their presence, while failure does not prove the organism is absent from the environment.
Winogradsky Column: A layered microbial ecosystem used to study diversity, nutrient cycling, and growth of phototrophic and chemotrophic microbes under light, oxygen, and nutrient gradients. Provides a long-term source of Bacteria and Archaea.
Pure Cultures: contain a single kind of microorganism, can then be used for molecular and physiological experiments.
Streak Plate (Classical Procedures for Isolating Microbes): a well-isolated colony is selected and restreaked several successive times in order to obtain a pure culture.
Serial Dilution (Classical Procedures for Isolating Microbes): most probable number technique, serial 10x dilutions of inoculum in a liquid medium. Used to estimate the number of microorganisms in food, wastewater, and other samples.
Enrichment Bias Problem: Traditional cultivation methods create enrichment bias that limits understanding of microbes in nature, as lab conditions favor fast-growing organisms over those adapted to natural environments.
Realized vs. Fundamental Niche: Fundamental niche indicates where an organism could live based on its physiological capabilities; realized niche is where an organism actually lives, constrained by resource limitations, competition, and environmental factors.
Culturomics: High-throughput cultivation method that systematically tests diverse growth conditions to culture previously unculturable microbes, reducing enrichment bias and better capturing microbial diversity from natural environments.
Selective Single-Cell Isolation: New techniques developed to isolate microbes from nature based on their realized niches, addressing enrichment bias by targeting specific organisms in their natural context rather than selecting for fast growth in standard lab media.
Laser Tweezers (Selective Single-Cell Isolation): isolating slow-growing bacteria from mixed cultures. Physically separating individual cells for culture.
Flow Cytometry (Selective Single-Cell Isolation): technique for counting and examining a mixture of cells by suspending them in a stream of fluid and passing through an electronic detector. Sorts by cell size, shape, or fluorescent properties.
High-Throughput Culture (Selective Single-Cell Isolation): physically separates individual cells for culture in a microfilter plate.
Microfilter Wells (Selective Single-Cell Isolation): Enable researchers to adjust culture conditions (pH, nutrients, osmotic balance) and isolate single cells per well, preventing competition. Useful for slow-growing species that thrive in nutrient-poor environments.
Microfluidic Devices for Cultivation (Selective Single-Cell Isolation): microfluidic devices used microfabrication techniques to construct 3200 tiny individual wells.
Measuring Microbial Activities in Nature: can be accomplished by 1) chemical assays, radioisotopic methods, and microsensors, 2) stable isotope fractionation, 3) stable isotope probing.
Chemical Assays for Microbial Activity: Directly measure metabolites like lactate, sulfate, or H₂S to quantify microbial activity, using killed-cell controls to distinguish biological from abiotic processes.
Radioisotopic Methods: Track microbial metabolic rates with radioactive tracers (e.g., ³⁵S, ¹⁴C) for sensitive detection of processes like sulfate reduction, photosynthesis, or respiration, with killed controls to rule out abiotic reactions.
Microsensors: Tiny glass electrodes measure chemical gradients (pH, O₂, CO₂) at fine spatial scales in situ, revealing microbial activity and transitions between oxic and anoxic zones in environments like sediments or mats.
Stable Isotopes: nonradioactive isotopes of an element. Used to study microbial transformations in nature.
Isotope Fractionation: carbon and sulfur are commonly used. Lighter isotope is incorporated preferentially over heavy isotope, indicative of biotic processes, isotopic composition reveals its past biology (ex: carbon in plants and petroleum).
Carbon Isotope Fractionation: Carbon isotope fractionation is the process by which chemical or biological reactions preferentially use the lighter ^12C isotope over ^13C, causing measurable differences in their relative abundances.
Stable Isotope Fractionation: Preferential partitioning of stable isotopes (e.g., ¹²C/¹³C, ¹⁶O/¹⁸O, ¹⁴N/¹⁵N) due to mass differences, creating measurable isotope ratio variations. Used to detect sulfate-reducing bacteria via sulfur fractionation in sulfides.
Stable Isotope Probing (SIP): Tracks microbial activity by following the incorporation of a stable isotope (e.g., ¹³C) into biomolecules.
General Staining Methods: Techniques that apply dyes or stains to cells or tissues to enhance contrast and visualize structures under a microscope. Examples include Gram staining, acid-fast staining, and simple staining.
Fluorescence In Situ Hybridization (FISH): A technique using fluorescently labeled DNA or RNA probes to bind specific sequences in cells or tissues, allowing detection and localization of particular genes or microorganisms under a fluorescence microscope.
Fluorescent Staining: General staining, nonspecific technique using fluorescent dyes (DAPI, acridine orange, or SYBR Green I) that bind to nucleic acids and fluoresce under UV light; used for enumeration of microorganisms in samples.
DAPI (4',6-diamidino-2-phenylindole): Fluorescent stain that produces bright blue fluorescence when bound to DNA in cells.
Acridine Orange (AO): Fluorescent stain that produces orange or greenish-orange fluorescence when bound to nucleic acids in cells.
SYBR Green I (SYBR): Fluorescent stain that produces green fluorescence when bound to double-stranded DNA; like all these stains, it is nonspecific and cannot differentiate between live and dead cells.
Viability Staining: Fluorescent staining method using two dyes that differentiate live from dead cells based on cell membrane integrity; live cells fluoresce green while dead cells fluoresce red.
Green Fluorescent Protein (GFP): green fluorescent proteins can be genetically engineered into cells to make them autofluorescent. Can be used to track live bacteria and bacterial processes (ex: infection). Can act as a reporter gene to identify when any given promoter is active.
Small Subunit Ribosomal RNA (SSU rRNA): 16S rRNA in prokaryotes, 18S rRNA in eukaryotes. A molecular chronometer present in all cells, with conserved regions for comparison and variable regions to distinguish species. Easily sequenced to study microbial evolution.
Phylogenetic Probes: Fluorescent oligonucleotides that bind SSU rRNA sequences to identify specific microbes. Target different taxonomic levels, enabling detection and distinction in complex samples via FISH.
FISH (Fluorescence In Situ Hybridization) Meaning: Uses fluorescent nucleic acid probes complementary to specific rRNA sequences to identify and quantify microbes in their natural communities. Allows visualization in situ without culturing.
FISH Applications and Capabilities: Uses multiple phylogenetic probes with different fluorescent colors to identify and distinguish microbes. Applied in microbial ecology, food quality control, and clinical diagnostics to study communities and detect pathogens.
Culture-Independent Genetic Analyses: Study microbial communities directly from environmental samples without cultivation, bypassing the fact that most microbes cannot be grown in the lab. Examples include single-gene biodiversity analysis, metagenomics, and environmental multi-omics.
Single-Gene Biodiversity Analysis: Analyzes a single conserved gene (usually 16S rRNA for prokaryotes or 18S rRNA for eukaryotes) from a community sample to identify species and assess phylogenetic diversity.
Metagenomics (Shotgun Genomics): Sequences all DNA from an environmental sample without targeting specific genes, revealing both phylogenetic diversity (who is there) and functional potential (what they can do) of the microbial community.
Environmental Multi-omics: Combines metagenomics, metatranscriptomics (gene expression), metaproteomics (proteins), and metabolomics (metabolites) to provide a comprehensive view of both the identity and activity of microorganisms in their natural environment.
Variable Regions (V1–V9): Nine hypervariable regions in the 16S rRNA gene that differ between bacterial species, interspersed among conserved regions. These sequence differences allow taxonomic identification.
V4 Region Sequencing (iSeq 100): Targets only the V4 region using 300 bp paired-end reads (~292 bp after trimming). Each read covers 150 bp from opposite ends. Provides sufficient taxonomic resolution for many microbiome studies and is cost-effective.
V3–V4 Region Sequencing (MiSeq): Covers two adjacent hypervariable regions (V3 and V4) using 250 bp paired-end reads (~468 bp total after assembly). Sequencing multiple regions improves taxonomic resolution and identification accuracy.
Primer Design for Variable Regions: Universal PCR primers bind conserved regions flanking variable regions, allowing amplification of V4 or V3–V4 from diverse bacterial communities. Forward (F) and reverse (R) primers indicate positions in the 16S gene.
Single-Gene Biodiversity Analysis: A method that assesses microbial diversity by examining variations in a specific gene across all organisms in a community.
Phylotype: A taxonomic unit defined by sequence similarity of a marker gene (often 16S rRNA), used to group microbes when full taxonomy isn’t available.
Evolutionary Marker Gene: A gene conserved across organisms that is used to infer evolutionary relationships (e.g., rRNA genes).
rRNA Gene (16S/23S): Highly conserved ribosomal RNA genes used as universal barcodes to identify and compare microbial taxa.
Conserved Functional Gene: A gene involved in essential metabolic functions that is preserved across many organisms (e.g., amoA, used to study ammonia-oxidizing microbes).
DNA Isolation: Extraction of total community DNA from an environmental sample.
PCR Amplification: Selective copying of a target gene (e.g., 16S rRNA) using primers so the gene can be analyzed.
Fluorescently Tagged Primers: PCR primers labeled with fluorescent markers that allow detection and sizing of DNA fragments after electrophoresis.
Restriction Enzyme Digestion (T-RFLP): Cutting PCR products with restriction enzymes to generate terminal fragment patterns used to infer diversity.
ARISA: A method amplifying the region between 16S and 23S rRNA genes; differences in fragment length correspond to different microbial taxa.
Electrophoresis (e.g., DGGE): A technique that separates DNA fragments by size or sequence differences, producing banding patterns that represent different microbial phylotypes.
DGGE (Denaturing Gradient Gel Electrophoresis): Fingerprints equal-length PCR fragments by sequence. Fragments migrate through a denaturant gradient until reaching their melting point, forming band patterns that represent phylotypes and enable community comparisons.
Band Excision: Cutting specific DGGE bands from the gel to isolate their DNA for further sequencing.
DNA Sequencing: Determining the nucleotide sequence of amplified fragments (individual bands or entire pools).
Next-Generation Sequencing (NGS): High-throughput sequencing technology that generates millions of gene sequences, revealing fine-scale microbial diversity.
Phylogenetic Analysis: Computational comparison of DNA sequences to determine evolutionary relationships and identify taxa in the community.
Urine Metabolites–Gut Bacteria Correlation Analysis: A multi-omics study linking gut microbes to metabolites. Families provided fecal and urine samples; gut bacteria were identified via clone libraries and DGGE, metabolites by NMR, and chemometric analysis revealed correlations across generations and sexes.
Metagenomics (Environmental Genomics): A culture-independent method sequencing total DNA from microbial communities to capture all genes. Reveals phylogenetic diversity (who is there, via marker genes like 16S rRNA) and functional diversity (what they can do, via metabolic genes).
Community Sampling Approach (Single-Gene Analysis): Amplifies and sequences one conserved or functional gene (e.g., 16S, amoA) to build phylogenies and profile specific groups; shows “who is there” for that gene but offers limited functional insight.
Environmental Genomics Approach (Metagenomics): Sequences all community DNA to recover many genes or genomes, revealing both phylogeny and functional potential, including novel genes.
Key Difference Between Single Gene & Metagenomics: Single-gene = targeted identity of specific groups; metagenomics = broad view of both identity and function.
Metagenomics: Sequencing all DNA from a microbial community to identify which organisms and genes are present.
Metatranscriptomics: Sequencing all RNA from a community to determine which genes are actively expressed.
Metaproteomics: Profiling all proteins in a community to assess functional gene products and their activities.
Metabolomics: Measuring all small-molecule metabolites produced by a community to understand biochemical activity and metabolic output.
DNA-Based (Potential Activity): Targeted gene sequencing (e.g., 16S, amoA) or metagenomics reveals which organisms and genes are present and their potential functions, but not current activity.
RNA-Based (Gene Expression): Metatranscriptomics sequences community RNA to show which genes are actively transcribed, indicating which pathways may be active.
Protein-Based (Functional Activity): Metaproteomics identifies proteins present, revealing which functions are actually being carried out.
Metabolite-Based (Biochemical Products): Metabolomics detects small molecules and metabolites, showing the actual biochemical products and interactions within the community.
Stable Isotope Methods (Single-Cell & Community Activity): Use heavy isotopes (e.g., ¹³C, ¹⁵N) with SIP, MAR, or NanoSIMS to trace substrate uptake and link identity to activity at single-cell or community scale.
Probe-Based Single-Cell Methods (Cell Identity & Function): Techniques like FISH, BONCAT, FACS, and single-cell genomics connect individual cell identity to metabolic activity within complex communities.
Created by: smurtab
 

 



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