Table 2 Patterns of genome-wide codon usage in Myotis davidii
UUU15.7 (141141)UCU14.4 (128939)UAU10.7 (96582)UGU9.7 (87355)
UUC20.5 (183882)UCC19.1 (171243)UAC15.5 (139000)UGC12.6 (112906)
UUA7.2 (64716)UCA11.3 (101170)UAA0.6 (5059)UGA1.2 (10439)
UUG12.5 (112218)UCG5.0 (45139)UAG0.5 (4775)UGG12.4 (111457)
CUU12.1 (108263)CCU16.9 (151920)CAU10.0 (90245)CGU4.2 (37777)
CUC20.4 (183451)CCC21.6 (194040)CAC16.6 (148955)CGC9.9 (89098)
CUA6.4 (57262)CCA15.9 (143248)CAA11.8 (106136)CGA6.0 (54257)
CUG41.3 (371130)CCG7.6 (68087)CAG36.1 (323855)CGG12.0 (108187)
AUU14.6 (131554)ACU12.0 (108140)AAU15.5 (139605)AGU12.1 (108595)
AUC21.5 (193277)ACC19.8 (177653)AAC20.0 (179409)AGC20.5 (183722)
AUA6.9 (62193)ACA13.9 (125180)AAA23.6 (211742)AGA11.5 (103418)
AUG22.1 (198262)ACG7.2 (65088)AAG33.3 (298847)AGG12.9 (115789)
GUU10.3 (92630)GCU17.9 (161068)GAU20.8 (186580)GGU9.9 (89712)
GUC15.4 (137894)GCC29.3 (263071)GAC27.4 (246001)GGC22.2 (199804)
GUA6.4 (57396)GCA15.2 (136268)GAA28.7 (25792)GGA15.5 (138999)
GUG29.2 (261930)GCG7.6 (68234)GAG41.6 (374083)GGG17.3 (155758)
  • These data help set the expectation for whether a given M. davidii codon is preferred or nonpreferred. Observed bias in any particular gene can therefore be interpreted as likely to increase or decrease the cost and efficiency of translation