3.4.7 - investigating diversity Flashcards
How can comparison of base sequences be used to investigate how closely related organisms are?
patterns in the sequences can be compared
- due to mutations the sequence of bases can change over time
- new species will accumulate more and more differences
- so species that are more closely related will show more similarity in their DNA (more closely related = higher percentage or similarity)
How can comparison of amino acid sequences in proteins be used to investigate the relationship between organisms?
patterns in the amino acid sequences can be compared as the sequence of amino acids is determined by mRNA which is determined by DNA
How are immunological comparisons used to investigate variations in proteins?
- similar proteins will bind to the same antibodies - if antibodies from a human protein are added to isolated samples from another species and they bind, the two species must be similar
How can comparing observable characteristics be used to investigate how closely related organisms are?
each characteristic is determined by a gene and variety of the trait depends on the number andd variety of alleles
What are the limitations of using observable characteristics to group species?
- unreliable - some species are coded for by more than one gene (polygenic)
- environmental influence on phenotype
- convergent evolution
What is variation and give the two types?
difference between individuals
- interspecific (between different species)
- intraspecific (within species)
Causes of variation
- genetic - controlled by alleles of a single gene
- environmental
- Both (eg height)
What is sampling and why is it used?
taking measurements from individuals selected from a population (acts as a model for the whole population)
What two issues can arise when sampling and how is this resolved?
- chance - can be caused by a too small sample size - use a larger sample to ensure it is more reliable and representative - use statistical tests to determine influence of chance
- sampling bias - if samples are not taken at random - use a random sampling method
Random sampling method - divide area into a grid and generate random coodinates
Define normal distribution
values either side of the mean, creating a bell shaped curve (normal distribution is symmetrical about the mean)
What are the issues with using the range and the mean ?
- range only shows the highest and lowest values
- mean fails to consider the variation of values within a sample
What do the mean and standard deviation show on a normal distribution curve?
- mean - maximum height of the curve
- standard deviation - width of curve - range of values either side of the mean
What does a large standard deviation indicate?
- measurements are more spread about the mean
- so the data is not as reliable
The error bars showing the standard deviation do not overlap - what does this indicate ?
there IS a SIGNIFICANT difference between the mean of two or more sets of data and the difference is not due to chance