Russula spp 2 claims

Interactor role: symbiont

Literal values, not normalised. 183,098 distinct spellings cover 1,706,259 claims; only letter case and spacing are merged, so “maize”, “corn” and “Zea mays L.” are three separate entries here. The By interacting organism view merges spellings of one organism through NCBI Taxonomy.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Russula spp. mycorrhizal fungi were detected by PCR in the soil and in Limodorum abortivum orchid roots.

Taxon
Limodorum abortivumLimodorum abortivume0
Organ / stage
rootse0
Interactor
Russula sppRussulae0symbiont
Outcome
presencee0

Verbatim

e0

“we detected the presence in the soil and Limodorum abortivum orchid roots of the mycorrhizal fungi Russula spp”

✓ located verbatim in the source · abstract, characters 828–938

Title

A PCR based method to detect Russula spp. in soil samples and Limodorum abortivum roots in Mediterranean environments

Eduardo Larriba; Antonio Belda; Luis Vicente López-Llorca Forest Systems 2015. doi:10.5424/fs/2015241-06249

Other claims from this paper (2)
Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

The PCR-based tool was presented as useful for detecting Russula spp. in natural environments.

Taxon
Limodorum abortivumLimodorum abortivume0
Interactor
Russula sppRussulae2symbiont
Outcome
detect the presencee2

Not reportedComparatorValue

Schema note from the model: method performance stated only qualitatively; no comparator or value reported

Verbatim

e0

“we detected the presence in the soil and Limodorum abortivum orchid roots of the mycorrhizal fungi Russula spp”

✓ located verbatim in the source · abstract, characters 828–938
e2

“We present a useful tool based on PCR to detect the presence of Russula spp. in a natural environment”

✓ located verbatim in the source · abstract, characters 1058–1159

Title

A PCR based method to detect Russula spp. in soil samples and Limodorum abortivum roots in Mediterranean environments

Eduardo Larriba; Antonio Belda; Luis Vicente López-Llorca Forest Systems 2015. doi:10.5424/fs/2015241-06249

Other claims from this paper (2)