Lecture 05 Flashcards
The biosphere
a. What other factors contribute to extinction?
b. Give 3 examples of the good and the bad(3)
Extinctions…continued!
a. Other forces
- climate change, species translocations, environmental pollution and indirect effects due to species interdependence
b. Examples – the good and the bad
- extinction of the thylacine (Thylacinus cynocephalus) - 1936
- Northern white rhino – functionally extinct; IVF embryos
- survival of Pere David’s deer (Elaphurus davidianus);
The biosphere
a. Is extinction reversible?(1)
- What approaches are possible?(2)
b. CRISPR
- Discuss how CRISPR is used to reverse extinction.(3)
The biosphere
a. Is extinction reversible?
- Two basic approaches are possible – selective breeding and CRISPR/Cas
Box 1.10 – CRISPRs and their application to genetic engineering
b.Clustered regularly interspaced short palindromic repeats (CRISPR)
- prokaryotic genome regions – defence against viral infection; similar to vertebrate immune systems in that they are responsive and heritable
- loci contain repeats separated by spacers; linked to genes encoding CRISPR-associated (Cas) proteins
* Cas proteins -> nucleases
* repeats -> copies of viral sequence segments (store a
memory of previous infection events)
- upon reinfection, the cell detects DNA matching a CRISPR sequence and triggers Cas nucleases to cleave it
CRISPRs and their application
to genetic engineering
a. List the 3 mechanisms of viral defence(3)
a. Mechanism of viral defence
- phage infects bacterium cell;regions of phage DNA are clipped out, replicated and integrated into a new CRISPR locus, with spacer in between
- transcription of regions produce CRISPR RNAs
(crRNAs) that bind to Cas proteins - using bound RNAs as some kind probe, Cas proteins will clip viral DNA when a match against a region of DNA from an invading virus is detected, thus, defence has been effected
List 2 other applications(2) of CRISPRs to genetic engineering and explain each. (1)(2)
Gene knockout and editing
- knockout – silence gene expression; editing – replace/insert DNA sequences
into endogenous gene
Gene drive
- use CRISPR/Cas to accelerate the dispersal of a chosen gene throughout a
population
- possible weapon against Aedes aegyptii, a vector that carries the Zika virus
Genome projects and our current library
of genome information
a. Discuss the evolution of DNA sequencing
a. The evolution of DNA sequencing
- first genome: bacteriophage X-174 in 1977 (F. Sanger et al.)
- single-stranded DNA of 5,386 bases
- recognition of importance of sequencing stimulated efforts to improve and automate sequencing
- major breakthrough: Leroy Hood et al replaced autoradiographic gels
(four lanes) with capillary electrophoresis (one lane)
- fluorescently-labelled nucleotides and better DNA polymerase
- next-generation sequencing (NGS); ‘third generation sequencing
Discuss High-throughput sequencing(HTS)-(4)
High-Throughput Sequencing (HTS)
* human genome – 10 years; US$3 x 109 (~3.2 Gbp)
* modern-day instruments -> 250 Gbp per week
* for example, BGI has >200 sequencing instruments; each capable of 25
x 109 bp per day – corresponds to one human genome at 8x coverage
* at full capacity, up to 10,000 human genomes per yea
List the two important aspects of high throughput sequencing(2)
-Discuss the second aspect of it(2)
Two important aspects
1. generation of raw sequence data – DNA fragmentation, then sequence
2. sequence assembly – gather all sequences, search for overlapping regions
among individual sequences and assemble
- affected by read length, thus, the typical length of the individual
short sequences
- computer programs
De novo sequencing
a. What does it do?(1)
b. What are the 2 types of de novo sequencing(2)
c. What is generated?(2)
d. What does it require?(1)
e. What is the coverage?(1)
f. Is genome assembly easy or hard?(1)
De novo sequencing
a.determine the complete sequence of the first genome from a species
b. single-end (SE) or paired-end (PE) sequencing – either way, bases produced
are ‘read length’ (Fig. 1.14); unknown bases inbetween sequenced regions
c.assembly generates contigs, then assemble contigs into ‘super-contigs’ (aka
‘scaffolds’)
d. requires sufficient number of reads to cover entire genome (i.e.
coverage) and replicates to detect sequence errors
e. coverage – ratio of total number of sequenced bases (during a project)
over genome length; for novel genomes target 30x – 50x coverage
f. genome assembly is computational challenging, esp. in eukaryotes