Table 3 |
||||
|
Linear regressions of GC content of introns on coding sequences of the same gene for each species.a |
||||
|
Coefb |
p-valuec |
Rsqd |
Ne |
|
|
|
||||
|
mel |
0.2460 |
2.52e-31 |
0.0412 |
3221 |
|
sim |
0.1290 |
2.14e-07 |
0.0114 |
2344 |
|
sec |
0.1570 |
1.62e-10 |
0.0169 |
2399 |
|
yak |
0.1870 |
1.22e-13 |
0.0221 |
2463 |
|
ere |
0.2460 |
1.86e-21 |
0.0364 |
2444 |
|
ana |
0.2700 |
4.03e-26 |
0.0497 |
2195 |
|
pse |
0.4140 |
9.82e-32 |
0.0708 |
1875 |
|
per |
0.4210 |
1.05e-36 |
0.0802 |
1919 |
|
wil |
0.2210 |
1.02e-21 |
0.0426 |
2109 |
|
vir |
0.1780 |
3.58e-10 |
0.0160 |
2447 |
|
moj |
0.1140 |
3.92e-05 |
0.0071 |
2374 |
|
gri |
0.0588 |
2.42e-03 |
0.0034 |
2706 |
|
|
||||
|
aGC content in coding sequences was calculated from the 3rd codon positions of 2- and 4-fold redundant amino acids. bMultiplier coefficient of the linear model. cThe probability that the true coefficient value is different from zero. dThe fraction of total variability explained by the model. eThe number of genes used. Genes were chosen with the following criteria: from the homologous set we chose only genes that had at least one intron between 100 and 2000 bp in length after cleaning, and with at least 100 codons in the coding sequence. |
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|
Vicario et al. BMC Evolutionary Biology 2007 7:226 doi:10.1186/1471-2148-7-226 |
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