M. bovis (bovine/elephant TB) codon usage

Mycobacterium bovis

Synonymous codon usage in M. bovis (bovine/elephant TB) (Mycobacterium bovis), computed from 1,229 RefSeq coding sequences. Third positions are 77.4% G or C, above the median across the 26 organisms catalogued on this site, making it 2th of 26 by that measure. An effective number of codons of 41.7 indicates strong bias: the closer that value sits to 61, the more evenly an organism spreads its synonymous choices.

77.4%GC3 content
41.7Effective codons (Nc)
1,229Coding sequences
2/26GC3 rank here

Genetic code

NCBI table 11 (Bacterial, Archaeal and Plant Plastid), covering chromosomal coding sequences. Sense-codon assignments match the standard code; initiation differs. Which code applies where.

What distinguishes this table

The most constrained choice in M. bovis (bovine/elephant TB) is isoleucine: of its 3 synonymous codons, ATC takes 80% of the family. Glutamate sits at the other end, spread almost evenly across its options (evenness 0.93 against 0.57 for isoleucine). Those two families are where a codon-optimizer has the most and the least room to move.

Measured across all 59 sense codons, this table correlates most closely with M. tuberculosis (r = 1.000) and least with Ferret (r = 0.450). A sequence tuned for the first would need little adjustment to move here; one tuned for the second would need a great deal.

Relative to the average across the 26 organisms on this site, M. bovis (bovine/elephant TB) leans hardest on CCG (+0.380 against the mean) and avoids AAT most (-0.248). Those two are the codons that most distinguish this table from the others.

Preferred and avoided codons

Amino acid PreferredFreqRSCU AvoidedFreqRSCU
Alanine AGCC0.4471.79GCT0.0820.33
Arginine RCGC0.3912.34AGA0.0160.10
Asparagine NAAC0.7861.57AAT0.2140.43
Aspartate DGAC0.7261.45GAT0.2740.55
Cysteine CTGC0.7541.51TGT0.2460.49
Glutamate EGAG0.6541.31GAA0.3460.69
Glutamine QCAG0.7451.49CAA0.2550.51
Glycine GGGC0.5012.00GGA0.1050.42
Histidine HCAC0.7041.41CAT0.2960.59
Isoleucine IATC0.7952.38ATA0.0510.15
Leucine LCTG0.5183.11TTA0.0170.10
Lysine KAAG0.7441.49AAA0.2560.51
Phenylalanine FTTC0.7891.58TTT0.2110.42
Proline PCCG0.5372.15CCT0.0630.25
Serine STCG0.3572.14TCT0.0420.25
Threonine TACC0.5922.37ACT0.0630.25
Tyrosine YTAC0.7071.41TAT0.2930.59
Valine VGTG0.4641.85GTA0.0560.22

Full codon usage table

Amino acidCodonFrequencyRSCUShare of family
Alanine AGCC0.44701.788
GCG0.37291.492
GCA0.09770.391
GCT0.08230.329
Arginine RCGC0.39082.345
CGG0.33241.994
CGT0.11480.689
CGA0.09990.599
AGG0.04600.276
AGA0.01610.097
Asparagine NAAC0.78581.572
AAT0.21420.428
Aspartate DGAC0.72611.452
GAT0.27390.548
Cysteine CTGC0.75381.508
TGT0.24620.492
Glutamate EGAG0.65431.309
GAA0.34570.691
Glutamine QCAG0.74491.490
CAA0.25510.510
Glycine GGGC0.50082.003
GGG0.20090.804
GGT0.19290.772
GGA0.10540.422
Histidine HCAC0.70421.408
CAT0.29580.592
Isoleucine IATC0.79502.385
ATT0.15390.462
ATA0.05100.153
Leucine LCTG0.51803.108
CTC0.17931.076
TTG0.17871.072
CTT0.05980.359
CTA0.04710.283
TTA0.01710.103
Lysine KAAG0.74371.487
AAA0.25630.513
Methionine MATG1.00001.000
Phenylalanine FTTC0.78881.578
TTT0.21120.422
Proline PCCG0.53712.148
CCC0.29241.170
CCA0.10740.430
CCT0.06320.253
Serine STCG0.35662.140
AGC0.26161.570
TCC0.20801.248
AGT0.06610.397
TCA0.06600.396
TCT0.04170.250
Threonine TACC0.59232.369
ACG0.26431.057
ACA0.08050.322
ACT0.06290.252
Tryptophan WTGG1.00001.000
Tyrosine YTAC0.70711.414
TAT0.29290.586
Valine VGTG0.46371.855
GTC0.38301.532
GTT0.09780.391
GTA0.05560.222

Provenance

Computed from 1,229 RefSeq coding sequences for Mycobacterium bovis, sampled and counted codon by codon. Frequencies are relative within each amino acid family. Page generated 2026-08-09.

The full derivation of GC3, RSCU and the effective number of codons, along with the limits of each, is set out once in the methods note rather than repeated on every page.

Use this table

Nucleora codon-optimizes a coding sequence against this table directly, then folds the result and reports where structure would interfere with expression.

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