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LESSON 9: Analyzing DNA Sequences and DNA Barcoding

LESSON 9: Analyzing DNA Sequences and DNA Barcoding. PowerPoint slides to accompany Using Bioinformatics : Genetic Research. How DNA Sequence Data is Obtained for Genetic Research. Obtain Samples: Blood , Saliva, Hair Follicles, Feathers, Scales. Genetic Data. Compare

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LESSON 9: Analyzing DNA Sequences and DNA Barcoding

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  1. LESSON 9: Analyzing DNA Sequences and DNA Barcoding PowerPoint slides to accompany Using Bioinformatics: Genetic Research

  2. How DNA Sequence Data is Obtained for Genetic Research Obtain Samples: Blood , Saliva, Hair Follicles, Feathers, Scales Genetic Data Compare DNA Sequences to One Another Extract DNA from Cells …TTCACCAACAGGCCCACA… Sequence DNA TTCAACAACAGGCCCAC TTCACCAACAGGCCCAC TTCATCAACAGGCCCAC • GOALS: • Identify the organism from which the DNA was obtained. • Compare DNA sequences to each other. Image Source: Wikimedia Commons

  3. Overview of DNA Sequencing Mix with primers Perform sequencing reaction DNA Sample …T T C A C C A A C T G G C C C A C A… DNA Sequence Chromatogram

  4. Sequence Both Strands of DNA Sequence #1: Top Strand AT G AC G GATCA G C Sequence #2: Bottom Strand Sequence #1: Top Strand T A CTGC CT A GTCG Sequence #2: Bottom Strand Image Source: Wikimedia Commons

  5. Compare the Two Sequences Sequence #1: Top Strand Sequence #1: Top (“F”) Sequence #2: Bottom Strand 5’- AT G AC G G ATCA G C – 3’ Sequence #2: Bottom (“R”) 3’- T A CTGC C T A GTCG – 5’ Bioinformatics tools like BLAST can be used to compare the sequences from the two strands. Image Source: Wikimedia Commons

  6. Viewing DNA Sequences with FinchTV Image Source: FinchTV

  7. DNA Peaks Can Vary in Height and Width Image Source: FinchTV

  8. Quality Values Represent the Accuracy of Each Base Call Quality values represent the ability of the DNA sequencing software to identify the base at a given position. Quality Value (Q) = log10 of the error probability * -10. Q10 means the base has a one in ten chance (probability) of being misidentified. Q20 = probability of 1 in 100 of being misidentified. Q30 = probability of 1 in 1,000 of being misidentified. Q40 = probability of 1 in 10,000 of being misidentified.

  9. Quality Values Are Used When Comparing Sequences Quality values represent the ability of the DNA sequencing software to identify the base at a given position. Image Source: FinchTV

  10. Background “Noise” May Be Present Image Source: FinchTV

  11. The Beginning and Ends of Sequences Are Likely To Be Poor Quality Image Source: FinchTV

  12. Examples of Chromatogram Data #1 #2 #3 Circle #1:Example of a series of the same nucleotide (many T’s in a row). Notice the highest peaks are visible at each position. Circle #2: Example of an ambiguous base call. Notice the T (Red)at position 57 (highlighted in blue) is just below a green peak (A) at the same position. Look at the poor quality score on bottom left of screen (Q12). AnAmay be the actual nucleotide at this position. Circle #3: Example of two A’s together. The peaks look different, but are the highest peaks at these positions. Image Source: FinchTV

  13. Transcription and Translation Begin at the Start Codon Reading Frame +1 M T D Q 5’- AT G AC G G ATGA G C – 3’ Sequence #1: 3’- T A CTGC CT A CTCG – 5’ Sequence #2:

  14. There Are Six Potential Reading Frames in DNA Reading Frame +3 Reading Frame +2 Reading Frame +1 M T D Q 5’- AT G AC G G ATGA G C – 3’ Sequence #1: 3’- T A CTGC CT A CTCG – 5’ Sequence #2: Reading Frame -1 Reading Frame -2 Reading Frame -3

  15. Frame-Shifts, Amino Acid Changes, and Stop Codons M D G STOP Reading Frame +2 5’- AT G G AC G G ATGA G– 3’ Accidental insertion of an extra “G” when editing Reading Frame +1 M T G E 5’- AT G AC G G ATGA G C – 3’ Sequence #1: 3’- T A CTGC CT A CTCG – 5’ Sequence #2:

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