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.
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.
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.
| Amino acid | Preferred | Freq | RSCU | Avoided | Freq | RSCU |
|---|---|---|---|---|---|---|
| Alanine A | GCC | 0.447 | 1.79 | GCT | 0.082 | 0.33 |
| Arginine R | CGC | 0.391 | 2.34 | AGA | 0.016 | 0.10 |
| Asparagine N | AAC | 0.786 | 1.57 | AAT | 0.214 | 0.43 |
| Aspartate D | GAC | 0.726 | 1.45 | GAT | 0.274 | 0.55 |
| Cysteine C | TGC | 0.754 | 1.51 | TGT | 0.246 | 0.49 |
| Glutamate E | GAG | 0.654 | 1.31 | GAA | 0.346 | 0.69 |
| Glutamine Q | CAG | 0.745 | 1.49 | CAA | 0.255 | 0.51 |
| Glycine G | GGC | 0.501 | 2.00 | GGA | 0.105 | 0.42 |
| Histidine H | CAC | 0.704 | 1.41 | CAT | 0.296 | 0.59 |
| Isoleucine I | ATC | 0.795 | 2.38 | ATA | 0.051 | 0.15 |
| Leucine L | CTG | 0.518 | 3.11 | TTA | 0.017 | 0.10 |
| Lysine K | AAG | 0.744 | 1.49 | AAA | 0.256 | 0.51 |
| Phenylalanine F | TTC | 0.789 | 1.58 | TTT | 0.211 | 0.42 |
| Proline P | CCG | 0.537 | 2.15 | CCT | 0.063 | 0.25 |
| Serine S | TCG | 0.357 | 2.14 | TCT | 0.042 | 0.25 |
| Threonine T | ACC | 0.592 | 2.37 | ACT | 0.063 | 0.25 |
| Tyrosine Y | TAC | 0.707 | 1.41 | TAT | 0.293 | 0.59 |
| Valine V | GTG | 0.464 | 1.85 | GTA | 0.056 | 0.22 |
| Amino acid | Codon | Frequency | RSCU | Share of family |
|---|---|---|---|---|
| Alanine A | GCC | 0.4470 | 1.788 | |
| GCG | 0.3729 | 1.492 | ||
| GCA | 0.0977 | 0.391 | ||
| GCT | 0.0823 | 0.329 | ||
| Arginine R | CGC | 0.3908 | 2.345 | |
| CGG | 0.3324 | 1.994 | ||
| CGT | 0.1148 | 0.689 | ||
| CGA | 0.0999 | 0.599 | ||
| AGG | 0.0460 | 0.276 | ||
| AGA | 0.0161 | 0.097 | ||
| Asparagine N | AAC | 0.7858 | 1.572 | |
| AAT | 0.2142 | 0.428 | ||
| Aspartate D | GAC | 0.7261 | 1.452 | |
| GAT | 0.2739 | 0.548 | ||
| Cysteine C | TGC | 0.7538 | 1.508 | |
| TGT | 0.2462 | 0.492 | ||
| Glutamate E | GAG | 0.6543 | 1.309 | |
| GAA | 0.3457 | 0.691 | ||
| Glutamine Q | CAG | 0.7449 | 1.490 | |
| CAA | 0.2551 | 0.510 | ||
| Glycine G | GGC | 0.5008 | 2.003 | |
| GGG | 0.2009 | 0.804 | ||
| GGT | 0.1929 | 0.772 | ||
| GGA | 0.1054 | 0.422 | ||
| Histidine H | CAC | 0.7042 | 1.408 | |
| CAT | 0.2958 | 0.592 | ||
| Isoleucine I | ATC | 0.7950 | 2.385 | |
| ATT | 0.1539 | 0.462 | ||
| ATA | 0.0510 | 0.153 | ||
| Leucine L | CTG | 0.5180 | 3.108 | |
| CTC | 0.1793 | 1.076 | ||
| TTG | 0.1787 | 1.072 | ||
| CTT | 0.0598 | 0.359 | ||
| CTA | 0.0471 | 0.283 | ||
| TTA | 0.0171 | 0.103 | ||
| Lysine K | AAG | 0.7437 | 1.487 | |
| AAA | 0.2563 | 0.513 | ||
| Methionine M | ATG | 1.0000 | 1.000 | |
| Phenylalanine F | TTC | 0.7888 | 1.578 | |
| TTT | 0.2112 | 0.422 | ||
| Proline P | CCG | 0.5371 | 2.148 | |
| CCC | 0.2924 | 1.170 | ||
| CCA | 0.1074 | 0.430 | ||
| CCT | 0.0632 | 0.253 | ||
| Serine S | TCG | 0.3566 | 2.140 | |
| AGC | 0.2616 | 1.570 | ||
| TCC | 0.2080 | 1.248 | ||
| AGT | 0.0661 | 0.397 | ||
| TCA | 0.0660 | 0.396 | ||
| TCT | 0.0417 | 0.250 | ||
| Threonine T | ACC | 0.5923 | 2.369 | |
| ACG | 0.2643 | 1.057 | ||
| ACA | 0.0805 | 0.322 | ||
| ACT | 0.0629 | 0.252 | ||
| Tryptophan W | TGG | 1.0000 | 1.000 | |
| Tyrosine Y | TAC | 0.7071 | 1.414 | |
| TAT | 0.2929 | 0.586 | ||
| Valine V | GTG | 0.4637 | 1.855 | |
| GTC | 0.3830 | 1.532 | ||
| GTT | 0.0978 | 0.391 | ||
| GTA | 0.0556 | 0.222 |
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.
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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