natsel_neutral – a test for selective neutrality

We employ codon models to test hypotheses regarding the mode of natural selection that has operated on a gene.

Noting that ω (omega) is the ratio of nonsynonymous substitutions to synonymous substitutions, ω=1 is indicative a gene is evolving neutrally. (Note I’m setting optimise_motif_probs=False to speed up execution of the examples, not because it’s a good idea!)

from cogent3.app import io, evo

loader = io.load_aligned(format="fasta", moltype="dna")
aln = loader("../data/primate_brca1.fasta")

omega_eq_1 = evo.natsel_neutral("GNC",
                                tree="../data/primate_brca1.tree",
                                optimise_motif_probs=False)
result = omega_eq_1(aln)
type(result)

cogent3.app.result.hypothesis_result

result

Statistics

LR	df	pvalue
4.5034	1	0.0338

hypothesis	key	lnL	nfp	DLC	unique_Q
null	'GNC-null'	-6715.5250	22	True
alt	'GNC-alt'	-6713.2733	23	True

result.alt.lf

GNC-alt

log-likelihood = -6713.2733

number of free parameters = 23

Global params

A>C	A>G	A>T	C>A	C>G	C>T	G>A	G>C	G>T	T>A
0.8614	3.5373	0.9792	1.6667	2.2042	6.2565	7.9195	1.2253	0.8014	1.2911

T>C	omega
3.0723	0.8204

Edge params

edge	parent	length
Galago	root	0.5232
HowlerMon	root	0.1338
Rhesus	edge.3	0.0640
Orangutan	edge.2	0.0233
Gorilla	edge.1	0.0075
Human	edge.0	0.0182
Chimpanzee	edge.0	0.0085
edge.0	edge.1	0.0000
edge.1	edge.2	0.0100
edge.2	edge.3	0.0366
edge.3	root	0.0238

Motif params

AAA	AAC	AAG	AAT	ACA	ACC	ACG	ACT	AGA	AGC
0.0556	0.0235	0.0344	0.0556	0.0228	0.0046	0.0008	0.0289	0.0231	0.0286

AGG	AGT	ATA	ATC	ATG	ATT	CAA	CAC	CAG	CAT
0.0140	0.0381	0.0186	0.0070	0.0128	0.0192	0.0196	0.0052	0.0238	0.0221

CCA	CCC	CCG	CCT	CGA	CGC	CGG	CGT	CTA	CTC
0.0195	0.0062	0.0006	0.0263	0.0011	0.0009	0.0023	0.0032	0.0137	0.0078

CTG	CTT	GAA	GAC	GAG	GAT	GCA	GCC	GCG	GCT
0.0125	0.0105	0.0755	0.0105	0.0303	0.0315	0.0158	0.0096	0.0014	0.0137

GGA	GGC	GGG	GGT	GTA	GTC	GTG	GTT	TAC	TAT
0.0161	0.0090	0.0067	0.0133	0.0148	0.0070	0.0069	0.0213	0.0023	0.0101

TCA	TCC	TCG	TCT	TGC	TGG	TGT	TTA	TTC	TTG
0.0221	0.0082	0.0015	0.0251	0.0018	0.0040	0.0201	0.0212	0.0078	0.0108

TTT
0.0187