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.
What was searched
- Routing
- Whole phylum. No curated family covers this lineage, so every family of the genome's phylum was searched. Family labels are less reliable here.
- Families searched
- Ascomycota:MATsc, Ascomycota:MTL
- Genetic code
- 1
- Taxonomy
- local NCBI taxonomy snapshot 2026-10-01
Families searched but not called
| family | reason | best % of genes found | genes found |
|---|---|---|---|
| Ascomycota:MATsc | best cluster carried 1 modelled gene(s), below the 2 required to report a locus; only 1 of its genes could be modelled | 100.0 | MATALPHA1, sla2 |
| Ascomycota:MTL | best cluster carried 1 modelled gene(s), below the 2 required to report a locus; only 1 of its genes could be modelled | 100.0 | MTLalpha1, PIK1 |
Withheld candidate loci 66
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 (63); too few of the family's genes found (3).
Show the 66 withheld loci
Withheld loci (66)
| family | location | idiomorph | genes | modelled | reason |
|---|---|---|---|---|---|
| MATsc | FQNF01000001: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000001: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000004: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000015: | alpha | MTLA2, MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000015: | MATalpha | MATALPHA1, sla2 | 1 | fewer than 2 genes could be modelled |
| MTL | FQNF01000065: | alpha | MTLalpha1, PIK1 | 1 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000065: | MATa | MATALPHA2, MATA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000028: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000028: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000012: | MATalpha | MATALPHA1, MATA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000020: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000020: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000031: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000031: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000036: | MATa | MATA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000036: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000007: | MATa | MATALPHA2, MATA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000007: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000125: | MATa | MATA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000034: | MATa | MATA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000034: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000055: | undetermined | MATA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000013: | undetermined | MATA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000168: | undetermined | MATA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000016: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000019: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000159: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000006: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000115: | MATalpha | MATALPHA1, MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000066: | undetermined | MATALPHA2, MATA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000094: | undetermined | MATALPHA2, MATA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000021: | MATa | MATA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000003: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000003: | MATa | MATA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000076: | MATa | MATA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000010: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000010: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000022: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000025: | undetermined | MATALPHA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000017: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000017: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MATsc | FQNF01000005: | MATalpha | MATALPHA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000005: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000005: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000018: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000002: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000009: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000049: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000041: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000035: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000054: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000069: | A | MTLA1, MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000109: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000085: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000050: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000087: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000106: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000181: | alpha | MTLalpha1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000063: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000129: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000032: | A | MTLA2 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000064: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000040: | A | MTLA1 | 0 | fewer than 2 genes could be modelled |
| MTL | FQNF01000001: | undetermined | PAP1, OBP1 | 2 | too few of the family's genes found |
| MTL | FQNF01000004: | undetermined | PIK1 | 1 | too few of the family's genes found |
| MTL | FQNF01000030: | undetermined | OBP1 | 1 | too few of the family's genes found |
Provenance
- Genome file
- HguilliermondiiUTAD222.genome.fasta
- Assembly
- 208 contigs · 9.0 Mb · N50 91.4 kb
- Genome SHA-256
- d61bf9fdaa3cd9488d3454f9a25aa4e21788f97e286b6376f5ab071eab29aced
- 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': 34365, 'routing_taxid_rank': 'family', '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': 'family taxid 34365', 'routed_by': 'family taxid 34365 (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
- 2026-11-07T02:34:06Z
- Run time
- 21 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
- MATPredict reads an assembly; it is not a mating assay. Two idiomorphs in one assembly can come from a homothallic species, a mixed culture or a merged diploid assembly.
- Fragmented assemblies can split a locus or lose its flanking genes; an uncalled genome is weak evidence of absence.
- Lineages with no curated record are searched with the whole phylum's references; family labels there are less reliable.