genetics for natural resources

DNA Amplification and Sequencing

  • DNA can be found in two main locations: the nucleus and mitochondria.

  • Amplification methods:

    • PCR (Polymerase Chain Reaction): A technique to create copies of DNA segments.

    • Gel electrophoresis: Used to separate DNA fragments by size after amplification.

    • Genome-wide sequencing: Screens the entire genome to analyze variations across sequences.

Genetic Engineering

  • Genetic sequence variations occur in various forms and locations within the genome.

  • Genetic engineering explores these variations for several applications.

Gene Modification

  • Gene splicing: Involves altering a gene to influence function.

  • Transcription process includes the need for a promoter (start) and terminator (end).

  • Example:

    • A gene with two specific nucleotide sequences (e.g., two T's) can make a protein that glows green; variations like AT or AA do not result in fluorescence.

Applications in Organisms

  • Genes can be inserted into different organisms to study their functions.

  • Example of application:

    • Transgenic salmon: Growth hormones from one species are introduced into another.

  • Some fish possess unique genes that can be used for research and application in genetic modification.

Conservation Genetics

  • Although less common, genetic engineering practices are present in conservation genetics.

  • Aquaculture: Selective breeding aims to create new lineages for sustainable fish populations.

  • Gene therapies in medicine involve adding DNA to a patient’s cells, often using

    • Adeno-associated viral vectors to deliver the genetic material.

Gene Expression Vectors

  • Expression vectors facilitate the expression of genetic traits.

  • Example uses include yeast fermentation in cheese production and insulin production.

  • Green Fluorescent Protein (GFP): Commonly utilized as a marker to indicate gene expression across various organisms such as mice and fish.

Agricultural Biotechnology

  • Genetic variation in plants is exploited for agricultural benefits, such as:

    • Pesticide resistance: Altered sequences in crop plants that resist pest attacks.

    • Herbicide tolerance: Creating crops resilient to herbicides.

  • An extension of traditional selective breeding practices aimed at improving crop quality and yield.

DNA Sequencing Technologies

  • Importance of understanding advancements in DNA sequencing technology.

  • Sanger Sequencing:

    • Procedure established in the early 2000s for reading nucleotide sequences.

    • Capable of sequencing 600-800 base pairs at a time.

    • Used in the first human genome sequences, noted for lower data throughput compared to newer methods.

Next-Generation Sequencing (NGS)

  • Also termed high-throughput sequencing.

  • Utilizes massively parallel processing for data generation.

    • Example:

    • Recent project outputting 1.5 billion sequences from fish research in under two weeks at a cost of $1,500.

  • Sequencing by synthesis: No need for electrophoresis; uses fluorescence to monitor sequences.

  • Key process:

    • Utilize a flow cell where DNA folds and primers create complementary strands.

    • Automated imaging captures the fluorescence to generate data.

Error Prediction in Sequencing

  • Statistical models are required to manage errors in sequencing.

  • Common error rates are around 1-2% across sequences, which can have significant implications concerning data quality.

Bioinformatics and Environmental Applications

  • Bioinformatics combines genetics, computational science, and statistical modeling.

  • New technologies such as Nanopore sequencing enable field-based sequencing without the need to transport biological samples.

    • Useful in remote conservation genetics applications.

  • Allowing for end-to-end molecular reads enhances data quality and precision.

Gene Expression and Transcriptomics

  • Gene expression studies examine which genes are active in certain environmental conditions.

  • RNA sequencing (RNA-seq) and microarrays are two methods for analyzing gene expression:

    • RNA-seq measures gene expression levels across the genome.

    • Microarrays provide a visual representation of gene on-off scenarios via fluorescence.

Current Trends in Conservation Genetics Data

  • Shifts in methodologies over time indicate a move towards sequencing rather than traditional SNP panels.

  • Comparative analysis: Genetics across populations can reveal genetic diversity metrics, which provide insights into species adaptation and conservation needs.

Upcoming Reading Assignments

  • Assigned reading: Open Genetics Chapter 5.

  • Course readings are made available online, strengthening the understanding of genetic concepts relevant to the material discussed.