Comparing diversity of fungi from living leaves using culturing and high-throughput environmental sequencing.

about

Comparing diversity of fungi from living leaves using culturing and high-throughput environmental sequencing.

Item

http://www.wikidata.org/entity/Q46261026

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh

2017年學術文章

@zh-hant

name

Comparing diversity of fungi f ...... hput environmental sequencing.

@en

Comparing diversity of fungi f ...... hput environmental sequencing.

@nl

type

Item

label

Comparing diversity of fungi f ...... hput environmental sequencing.

@en

Comparing diversity of fungi f ...... hput environmental sequencing.

@nl

prefLabel

Comparing diversity of fungi f ...... hput environmental sequencing.

@en

Comparing diversity of fungi f ...... hput environmental sequencing.

@nl

P1476

Comparing diversity of fungi f ...... ghput environmental sequencing

@en

P2093

Rob D Smissen

http://www.w3.org/2001/XMLSchema#string

P2860

Ion Torrent PGM as tool for fungal community analysis: a case study of endophytes in Eucalyptus grandis reveals high taxonomic diversity

Relaxed molecular clock provides evidence for long-distance dispersal of Nothofagus (southern beech)

Revised circumscription of Nothofagus and recognition of the segregate genera Fuscospora, Lophozonia, and Trisyngyne (Nothofagaceae)

MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform

A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood

The Colletotrichum gloeosporioides species complex

Distance-based tests for homogeneity of multivariate dispersions.

High-throughput culturing of fungi from plant litter by a dilution-to-extinction technique.

Massively parallel 454 sequencing indicates hyperdiverse fungal communities in temperate Quercus macrocarpa phyllosphere.

ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases.

P304

643-654

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1080/00275514.2017.1384712

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

109

http://www.w3.org/2001/XMLSchema#string

P50

Peter R. Johnston

Duckchul Park

Rob David Smissen

P577

2017-07-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29140754

http://www.w3.org/2001/XMLSchema#string