MATPredict · mating-type report

YlipolyticaCLIB89W29

MAT locus above the FungiDB annotation (gene by gene)

Ascomycota

Run by MATPredict 0.8.1 (v0.8.1, 3a62e6302b) · database 86f18d232e4f · local NCBI taxonomy snapshot 2026-10-01 · rendered 2026-11-07 02:44 UTC by MATPredict 0.8.1

Result

No MAT locus called

No family reached the evidence bar. That is weak evidence that the locus is absent: a fragmented assembly, or a lineage far from every reference, often explains it.

Next: check the withheld candidate loci below against a known locus, or type the strain from its reads.

Withheld candidate loci 94

Places with some MAT-gene evidence that did not pass a quality gate. Most genomes have several. They are listed so a known locus can be checked against them, not because they are likely calls.

Reasons: fewer than 2 genes could be modelled (88); too few of the family's genes found (6).

Show the 94 withheld loci
familylocationidiomorph genesmodelledreason
MTLCP017553:255,152–255,316alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017553:283,366–297,034AMTLA1, OBP11fewer than 2 genes could be modelled
MATscCP017553:1,174,478–1,174,573MATalphaMATALPHA10fewer than 2 genes could be modelled
MTLCP017553:1,427,322–1,427,444AMTLA10fewer than 2 genes could be modelled
MATscCP017553:1,570,382–1,570,666undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017553:1,921,775–1,921,930MATaMATA10fewer than 2 genes could be modelled
MTLCP017553:2,007,084–2,007,182AMTLA20fewer than 2 genes could be modelled
MTLCP017553:2,120,377–2,120,472AMTLA10fewer than 2 genes could be modelled
MATscCP017553:2,204,713–2,204,805MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017554:339,688–371,916MATalphaMATALPHA1, MATA20fewer than 2 genes could be modelled
MTLCP017554:339,688–371,916AMTLA2, PIK11fewer than 2 genes could be modelled
MTLCP017554:1,134,713–1,134,802AMTLA10fewer than 2 genes could be modelled
MATscCP017554:1,575,129–1,575,218undeterminedMATALPHA20fewer than 2 genes could be modelled
MTLCP017554:1,697,577–1,697,690AMTLA20fewer than 2 genes could be modelled
MTLCP017554:1,760,895–1,760,993AMTLA20fewer than 2 genes could be modelled
MTLCP017554:2,059,829–2,059,942AMTLA10fewer than 2 genes could be modelled
MTLCP017554:2,730,197–2,730,295alphaMTLalpha10fewer than 2 genes could be modelled
MATscCP017554:2,949,585–2,949,698undeterminedMATA20fewer than 2 genes could be modelled
MATscCP017555:124,789–124,980undeterminedMATALPHA20fewer than 2 genes could be modelled
MTLCP017555:389,585–389,797AMTLA20fewer than 2 genes could be modelled
MATscCP017555:745,440–745,553MATalphaMATALPHA10fewer than 2 genes could be modelled
MTLCP017555:987,409–992,384AMTLA1, MTLalpha11fewer than 2 genes could be modelled
MATscCP017555:987,409–992,384MATaMATA1, sla21fewer than 2 genes could be modelled
MATscCP017555:1,045,980–1,046,189MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017555:1,401,759–1,401,863undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017555:1,509,163–1,509,366undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017555:2,060,255–2,060,368undeterminedMATALPHA20fewer than 2 genes could be modelled
MTLCP017555:2,274,575–2,274,841AMTLA20fewer than 2 genes could be modelled
MATscCP017555:2,469,728–2,469,922undeterminedMATA20fewer than 2 genes could be modelled
MTLCP017555:2,534,596–2,534,787AMTLA10fewer than 2 genes could be modelled
MTLCP017555:2,614,429–2,614,551AMTLA20fewer than 2 genes could be modelled
MTLCP017555:2,864,696–2,864,881alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017555:3,310,910–3,311,005AMTLA10fewer than 2 genes could be modelled
MTLCP017557:5,914–6,024alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017557:287,614–287,775alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017557:579,504–579,620AMTLA20fewer than 2 genes could be modelled
MTLCP017557:887,494–887,622AMTLA10fewer than 2 genes could be modelled
MTLCP017557:1,058,703–1,058,801AMTLA10fewer than 2 genes could be modelled
MTLCP017557:1,118,471–1,118,746alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017557:1,240,905–1,241,159alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017557:1,411,816–1,411,908alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017557:1,620,327–1,620,440AMTLA10fewer than 2 genes could be modelled
MATscCP017557:1,861,769–1,862,074MATaMATA10fewer than 2 genes could be modelled
MTLCP017557:1,861,769–1,862,074AMTLA10fewer than 2 genes could be modelled
MATscCP017557:2,037,209–2,037,391MATaMATA10fewer than 2 genes could be modelled
MTLCP017557:2,171,827–2,171,943AMTLA10fewer than 2 genes could be modelled
MATscCP017557:2,366,577–2,366,750MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017557:2,429,231–2,429,380MATaMATA10fewer than 2 genes could be modelled
MTLCP017557:2,429,231–2,429,380AMTLA10fewer than 2 genes could be modelled
MATscCP017557:2,536,050–2,536,346undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017557:2,832,008–2,832,127MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017557:2,972,908–2,973,024undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017557:3,200,861–3,201,004MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017557:3,459,822–3,460,064undeterminedMATALPHA20fewer than 2 genes could be modelled
MTLCP017557:3,459,822–3,460,064AMTLA10fewer than 2 genes could be modelled
MATscCP017557:3,605,759–3,605,884MATalphaMATALPHA10fewer than 2 genes could be modelled
MTLCP017557:3,683,150–3,693,986AMTLA1, MTLalpha10fewer than 2 genes could be modelled
MATscCP017557:3,987,021–3,987,212undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017557:4,160,040–4,160,210MATalphaMATALPHA10fewer than 2 genes could be modelled
MTLCP017558:83,501–95,757AMTLA1, MTLA20fewer than 2 genes could be modelled
MTLCP017558:183,871–194,323alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017558:983,338–997,253alphaMTLA2, MTLalpha10fewer than 2 genes could be modelled
MTLCP017558:1,368,700–1,382,226alphaMTLalpha10fewer than 2 genes could be modelled
MATscCP017558:1,368,700–1,382,226MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017558:1,429,755–1,429,892MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017558:1,581,815–1,581,991undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017558:1,627,980–1,628,105undeterminedMATALPHA20fewer than 2 genes could be modelled
MTLCP017558:1,833,892–1,851,742alphaMTLalpha10fewer than 2 genes could be modelled
MATscCP017558:1,833,892–1,851,742undeterminedMATA20fewer than 2 genes could be modelled
MATscCP017558:2,238,871–2,247,401MATaMATALPHA2, MATA1, MATA20fewer than 2 genes could be modelled
MTLCP017558:2,238,871–2,247,401AMTLA10fewer than 2 genes could be modelled
MTLCP017558:2,912,359–2,912,595AMTLA10fewer than 2 genes could be modelled
MATscCP017558:2,988,599–2,988,751undeterminedMATALPHA20fewer than 2 genes could be modelled
MATscCP017558:3,067,460–3,067,549MATalphaMATALPHA10fewer than 2 genes could be modelled
MATscCP017558:3,677,196–3,677,303MATaMATA10fewer than 2 genes could be modelled
MTLCP017556:148,302–148,496AMTLA20fewer than 2 genes could be modelled
MATscCP017556:895,257–895,370undeterminedMATA20fewer than 2 genes could be modelled
MTLCP017556:1,423,983–1,424,192alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017556:1,862,961–1,863,050AMTLA20fewer than 2 genes could be modelled
MTLCP017556:1,952,440–1,952,613alphaMTLalpha10fewer than 2 genes could be modelled
MATscCP017556:2,002,554–2,002,706undeterminedMATA20fewer than 2 genes could be modelled
MATscCP017556:2,092,321–2,092,440MATaMATA10fewer than 2 genes could be modelled
MTLCP017556:2,146,964–2,147,197alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017556:2,281,027–2,281,119alphaMTLalpha10fewer than 2 genes could be modelled
MTLCP017556:2,492,820–2,492,948AMTLA20fewer than 2 genes could be modelled
MTLCP017556:3,018,825–3,018,914AMTLA10fewer than 2 genes could be modelled
MATscCP017556:3,327,055–3,327,183MATaMATA10fewer than 2 genes could be modelled
MATscCP017556:3,504,636–3,513,504MATalphaMATALPHA10fewer than 2 genes could be modelled
MTLCP017557:2,693,032–2,695,422undeterminedOBP11too few of the family's genes found
MTLCP017557:3,315,055–3,320,751undeterminedPIK11too few of the family's genes found
MTLCP017558:1,038,527–1,046,074undeterminedPIK11too few of the family's genes found
MTLCP017558:1,309,724–1,312,238undeterminedPIK11too few of the family's genes found
MTLCP017558:2,741,068–2,746,661undeterminedPIK11too few of the family's genes found
MTLCP017558:3,571,438–3,573,158undeterminedPAP11too few of the family's genes found

Provenance

Genome file
YlipolyticaCLIB89W29.genome.fasta
Assembly
7 contigs · 20.5 Mb · N50 3.6 Mb
Genome SHA-256
1c3ea748fffe9e05038727ed30463591916c0bb29153b8e50d4dea8806ac30e8
MATPredict
0.8.1 (v0.8.1, 3a62e6302b)
Database
86f18d232e4fe95d · 185 records
Taxonomy
local NCBI taxonomy snapshot 2026-10-01
Parameters
phylum=Ascomycota, phylum_guess={'requested': 'auto', 'status': 'ok', 'usable': True, 'reason': None, 'phylum': 'Ascomycota', 'phylum_taxid': 4890, 'deepest_rank': 'species', 'routing_taxid': 3243772, 'routing_taxid_rank': 'order', 'flags': [], 'gmg_version': 'gmg 0.3.2 (66055154a)', 'index': 'bfd-reps-2026.10.5-s20000.gmgi', 'index_sha256': '0f319567f1cab17643e1daf7ffdc0e3b312bd43913e351568108d67a4a19702c', 'index_spec': 'bfd-reps-2026.10.5-s20000.gmgi', 'note': 'GmG called phylum Ascomycota', 'action': 'routed', 'weak_call_accepted': False, 'genetic_code': 1, 'genetic_code_from': 'order taxid 3243772', 'routed_by': 'order taxid 3243772 (phylum_fallback)'}, genetic_code=1, min_hits=2, require_core_role=True, max_polished_clusters_per_family=6, polish_strong_identity=50.0, polish_core_pair=True, partial_core_policy=off, homothallic_policy=off, confidence_cap_policy=off, cross_family_policy=off, fallback_after_withheld_policy=off, strong_single_gene_policy=off, scoped_roster_policy=off, supported_min_bitscore=33.0
Run started
2026-11-07T02:43:30Z
Run time
31 s
Files
detection_report.yaml, detected_loci.gff3

Cite MATPredict as given in CITATION.cff at github.com/stajichlab/MATPredict. The reference records named in the gene tables are curated database entries; each record's metadata cites its source publication.

How to read this report

Idiomorph
The form of the mating-type locus a strain carries (for example MAT1-1 or MAT1-2, Plus or Minus). Basidiomycota HD and PR alleles are named after the reference they match.

Limits