How can there be so few functional genes? Flashcards
So few functional genes
How do we explain the fact that there are ~10,000 – 30,000 genes in vertebrate genomes (each ~1,000 bp or so, in a genome that may be 2 billion bp long – so 1.97 billion bp = not genes), and so much phenotypic diversity both within and among species?
Simplest and rarest: one gene coding one phenotype
Famous example: sickle-cell anaemia. This is where a single-base mutation in the gene coding for hemoglobin changes the morphology of the red blood cells, and results in the disease.
Remember mendelian genetics can tell us if a trait is behaving as a single locus e.g. pea colour
The molecular genetic cause of Mendels pea colour:
the colour gene sgr or ‘stay green’
(Armstead et al. 2007)
Staygreen inhibits the opening of the chlorophyll ring which results in chlorophyll breakdown
So in the wildtype in the dark the green fades but knocking out this gene slows the process
Domestication often provides useful information on the genetics of phenotypic traits
Another example: the ‘mirror’ phenotype in the carp
(Rohner et al. 2009 Curr Biol 19, 1642–1647)
Known from breeding to be a single-locus effect, the details were found to entail mutations at fibroblast growth factor receptor 1 (fgfr1).
Exon 11 was truncated from 111bp to just 33bp in the mutant in addition to a point mutation
fgfr1 is an important developmental gene, but the loss of function is compensated for by a duplicate copy – a ‘paralog’ (present due to the whole genome duplication events in teleost fish
that led to modern fish see ‘genome evolution’ end)
this paralog is redundant in early development, but divergent function in the adult fish.
So fish develops normal physical form but lacks scales due to the mutation on the repeat
Another example: Coat colour variation in old field mice (Hoekstra et al. (2007) PLoS Biol. 5(9): e219)
3 genes were identified that affected phenotypic colour – Agouti, Mc1r and Corin
Much of the variation in coat colour is explained by differences in two genes (Agouti & Mc1r):
Infact Mc1r affects coat colouration in many species
Another example: test to see if flies learn which test tubes are electrified and then avoid them
Wild-type would learn which tubes were electrified and retain this knowledge for ~24hrs
Mutations in genes – especially in Dunce gene affected learning
Pathways can be very complex
involving scores of loci, and a small change can affect many aspects of the process.
e.g. ‘knocking out’ the hypoxanthine-guanine phosphoribosyltransferase (HPRT) locus changes expression at a range of loci (Song & Friedman 2007 Mol. Ther. 15, 1432–1443). [left of blocks wildtype, right – HPRT deficient]
The expression of a gene can be controlled
Either by determining the level of transcription
or just turning the gene on or off
– this is mediated by e.g. ‘transcription factors’ and the micro-RNA ‘switches’
Example of gene expression control: Sticklebacks
(Jones et al 2012)
Stickleback adaptation to marine or freshwater environment is dominated by regulatory changes probably including micro-RNA switches
Pleiotropy
Means one gene with many functions i.e. it codes for many traits e.g. EPO:
Erythropoietin is a cytokine (immune system gene) involved in inhibiting programmed cell death (apoptosis) but actually has multiple pleiotropic effects
‘Quantitative Traits’ are ‘polygenic’
This means that multiple genes interact to generate the phenotype, and they can interact with each other in different ways:
Epistasis – the interaction between two or more genes to control a single phenotype (e.g. when the genotype at one locus masks the effects of genotype at another locus).
Additive – each relevant gene has an independent effect on the phenotype and work together
Heritability
Phenotype (P) is determined by genotype (G) and Environment (E; especially developmental environment)
If we consider the variance of the distribution of values:
VP (phenotype) = VG (genotype) + VE (environment)
But ‘VG’ can be broken down into components of additive (A), dominance (D) and interaction (I) variance, so:
VP = VA + VD + VI + VE
(Where VD and VI are non-additive)
Heritability can be quantified in two ways:
broad and narrow sense heritability
Broad sense heritability:
H = VG / VP
Or, because additive genetic variance explains much of the differences among phenotypic traits;
‘Narrow sense heritability’:
H squared = VA (additive) / VP (phenotypic)
Example of attempt to assess heritability:
Galapagos ground finch (Geospiza fortis; Boag 1983 Evol. 37, 877-894
Weight is highly heritable whereas bill length appears to be more environmentally influenced
(on the graph the two lines show before/ after a selective event see paper)
Summary so far
1)Most often genes function as part of a pathway or through interactions among genes (e.g. transcription factors, epistasis), meaning that traits tend to be polygenic.
2)Changes in the genes in a pathway can alter the outcome in a variety of ways, meaning that the same set of genes can lead to a diversity of functions.
3)Individual genes may affect multiple traits (pleiotropy), often as part of one or more complex pathways.
4)Not all aspects of a trait are predictable based on genotype, since environmental factors also influence the heritability of a trait.