. Author manuscript; available in PMC: 2024 Oct 9.

Published in final edited form as: Curr Biol. 2023 Sep 11;33(19):4098–4110.e3. doi: 10.1016/j.cub.2023.08.039

Table 1:

Computational filters identify pheromone candidates in analyzed yeast genomes

Major clade	Species count	Avg. genome size (Mbp)^*	Avg. protein models^*	Avg. CAAX candidates^*	Avg. [N-CAAX] candidates^*	Avg. distinct [N-CAAX] candidates^*

Alloascoideaceae	1	24.82	9631	1011	574	445
CUG-Ala	5	12.88	5944.4	691.2	359.8	248.8
CUG-Ser1	94	13.71	5636.81	940.88	413.36	282.51
CUG-Ser2	4	18.09	6718.25	855.75	369	265.5
Dipodascaceae/Trichomonascaceae	37	14.84	6284.49	1047.32	410.49	284.43
Lipomycetaceae	9	16.53	7218.33	1427.33	603.78	401.56
Phaffomycetaceae	34	12.26	5913.21	861.15	383.29	260.29
Pichiaceae	61	12.71	5722.87	782.11	359.23	251.72
Saccharomycetaceae	71	11.34	5107.11	687.3	320.55	230.65
Saccharomycodaceae	8	10.23	4679.88	589.38	284.5	195.75
Sporopachydermia clade	2	16.56	6086	962	442	313.5
Trigonopsidaceae	6	11.68	6127.17	619.67	253.33	184.5

All metrics (genome size, number of protein models, and number of candidates) are calculated by averaging across species within the major clades of the Saccharomycotina yeasts