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Inoculum 63(3) - Mycological Society of America

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<strong>of</strong> the New World. Doubts about the accuracy <strong>of</strong> name applications across the<br />

ocean have persisted, but molecular phylogenies now provide a new level <strong>of</strong> resolution.<br />

Our research targets fleshy fungi whose names originated in Europe, but<br />

which bear the same name and superficial form in eastern North <strong>America</strong>. Several<br />

examples can be identified in which DNA sequences reveal differences across<br />

the ocean, including saprophytic (Marasmius rotula; Baeospora myosura;<br />

Sparassis crispa) and ectomycorrhizal (Strobilomyces strobilaceus; Tricholoma<br />

populinum) fungi. In addition, it appears that genes for sexual compatibility and<br />

recognition are more highly conserved than the internally transcribed spacer<br />

(ITS), but morphological differences vary with the individual taxon. Implications<br />

<strong>of</strong> this research include the necessity for new names for heret<strong>of</strong>ore cryptic taxa on<br />

both continents and resultant adjustment <strong>of</strong> biodiversity inventory reports.<br />

Peterson, Stephen W. USDA-ARS NCAUR, 1815 North University Street, Peoria,<br />

IL 61604. Aspergillus section Versicolores: nine new species and multilocus<br />

DNA sequence based phylogeny<br />

ß-tubulin, calmodulin, internal transcribed spacer and partial lsu-rDNA,<br />

RNA polymerase, DNA replication licensing factor Mcm7, and pre-rRNA processing<br />

protein Tsr1 were amplified and sequenced from 62 A. versicolor clade<br />

isolates and analyzed phylogenetically using the concordance model to establish<br />

species boundaries. We used phylogeny to define species and phenotype from 10d<br />

CYA cultures to describe the species. Aspergillus austroafricanus, A. creber, A.<br />

cvjetkovicii, A. fructus, A. jensenii, A. puulaauensis, A. subversicolor, A. tennesseensis<br />

and A. venenatus are described as new species and A. amoenus, A. protuberus,<br />

A. tabacinus and A. versicolor are accepted as distinct species on the<br />

basis <strong>of</strong> molecular and phenotypic differences. PCR primer pairs used to detect A.<br />

versicolor in sick building syndrome studies have a positive reaction for all <strong>of</strong> the<br />

newly described species.<br />

Phookamsak, Rungtiwa 1 , Amy Y Rossman 2 , Ekachai Chukeatirote 1 , and<br />

Kevin D Hyde 1 . 1 School <strong>of</strong> science, Mae Fah Luang University, 57100, Chiang<br />

Rai, Thailand., 2 Mycology & Microbiology Laboratory, USDA-ARS, Beltsville,<br />

MD 20705, USA. Taxonomic and phylogenetic studies <strong>of</strong> Dothideomycetes<br />

on bamboo in Chiang Rai Province, Northern <strong>of</strong> Thailand<br />

Bamboos are fascinating and useful plants that have a wide range <strong>of</strong> uses.<br />

The traditional people in Southeast Asia, China, Japan, India and South <strong>America</strong><br />

have used bamboos in their cultures and survival since ancient times. There are<br />

several studies on endophytic, pathogenic and saprobic fungi on bamboo. However,<br />

phylogenetic information based on molecular data is poorly known for many<br />

bambusicolous fungi. We studied the taxonomy and phylogeny <strong>of</strong> Dothideomycetes<br />

on bamboo in Chiang Rai Province, Northern Thailand. Specimens<br />

were collected from six locations in Chiang Rai. Pure cultures were obtained<br />

using single spore isolation. We identified bitunicate fungi on dead stems or<br />

branches <strong>of</strong> bamboo that belong to the families <strong>of</strong> Aigialaceae, Didymosphaeriaceae,<br />

Lophiostomataceae, Massarinaceae and Melanommataceae. Some fungi<br />

are illustrated and a checklist <strong>of</strong> fungi examined on bamboo is presented. Among<br />

the 33 saprobic fungi on dead materials two isolates <strong>of</strong> Aigialaceae, four <strong>of</strong> Didymosphaeriaceae,<br />

three <strong>of</strong> Lophiostomataceae and Massarinaceae and 11 <strong>of</strong><br />

Melanommataceae were identified. The molecular phylogeny <strong>of</strong> Dothideomycetes<br />

on bamboo is inferred based on combined sequences <strong>of</strong> rDNA, the<br />

internal transcribed spacers (ITS rDNA), small subunit nuclear rDNA (18S,<br />

SSU), large subunit nuclear rDNA (28S, LSU) and partial RNA polymerase second<br />

largest subunit (RPB2).<br />

Picard, Kathryn T 1 , Rowena F Stern 2 , and François Lutzoni 1 . 1 Duke University,<br />

Durham, NC 27708, 2 Sir Alister Hardy Foundation for Ocean Science, Plymouth,<br />

UK. Investigating early-diverging fungi from marine and estuarine<br />

habitats in North <strong>America</strong> and Europe<br />

Despite increasing efforts to characterize and catalog early-diverging<br />

fungi, marine and estuarine habitats remain largely unexplored. Further, traditional<br />

culturing methods commonly employed in taxonomic surveys provide only<br />

limited insight into the breadth <strong>of</strong> zoosporic fungal diversity. However, with the<br />

application <strong>of</strong> culture-independent molecular techniques, including environmental<br />

cloning and, increasingly, high-throughput sequencing, the presence, distribution,<br />

and variety <strong>of</strong> these previously unculturable microbes is being elucidated.<br />

For this study, marine and estuarine habitats in North <strong>America</strong> and Europe were<br />

surveyed for novel fungal phylotypes using next-generation sequencing methods.<br />

North <strong>America</strong>n samples originated from a yearlong sampling effort in coastal<br />

North Carolina. Monthly sediment and plankton samples were collected from<br />

three small estuarine islands located within the Beaufort Inlet in Pamlico Sound.<br />

Quarter-annual collections <strong>of</strong> marine sediments from the shallow waters <strong>of</strong> Cape<br />

Lookout Bight were also made. Using the Ion Torrent platform, the 5’ end <strong>of</strong> the<br />

nuclear large subunit (28S) was sequenced from these samples, resulting in ~200<br />

bp reads. European samples originated from open water collections made across<br />

the English Channel over the course <strong>of</strong> three months. Partial nuclear small subunit<br />

(18S) rDNA sequences (~200-400 bp) were generated from English Channel<br />

38 <strong>Inoculum</strong> <strong>63</strong>(3), June 2012<br />

samples using 454 pyrosequencing. The conserved 18S and 28S markers were<br />

chosen over more variable regions, such as ITS1 and ITS2, based on greater availability<br />

<strong>of</strong> publicly accessible reference sequences. Preliminary analysis <strong>of</strong> both<br />

North <strong>America</strong>n and European sequence data reveals novel fungal phylotypes<br />

from across the fungal tree.<br />

Porras-Alfaro, Andrea 1,4 , Liu Kuan-Liang 3 , Zachary Gossage 1 , Lynnaun<br />

Johnson 1 , Tabitha Williams 1 , Gary Xie 2 , and Cheryl R Kuske 2 . 1 Department <strong>of</strong><br />

Biological Sciences, Western Illinois University, Illinois, USA, 2 Los Alamos National<br />

Laboratory, Bioscience Division, Los Alamos, New Mexico, USA, 3 Institute<br />

<strong>of</strong> Information Management, National Cheng Kung University, Tainan City,<br />

Taiwan, Republic <strong>of</strong> China, 4 Department <strong>of</strong> Biology, University <strong>of</strong> New Mexico,<br />

Albuquerque, USA. ITS and LSU automated classification: the fungal RDP<br />

naïve Bayesian classifier<br />

The introduction <strong>of</strong> next generation sequencing (NGS) in ecological studies<br />

has created a major revolution in fungal ecology. Analyses <strong>of</strong> large fungal<br />

datasets are common but currently limited by the lack <strong>of</strong> databases and reliable<br />

tools that will allow the classification <strong>of</strong> thousands <strong>of</strong> fungal sequences from environmental<br />

samples. The main objective <strong>of</strong> this project was to create curated<br />

databases for the Internal Transcribed Spacer (ITS) region and the large-subunit<br />

rRNA (LSU) gene and to evaluate their performance in the Ribosomal Database<br />

Project (RDP) naïve Bayesian classifier. We created and compared hand-curated<br />

LSU and ITS databases (more than 8 000 fungal sequences per database). Taxonomic<br />

gaps in fungal databases and challenges in the creation and maintenance <strong>of</strong><br />

these databases will be discussed. When compared with the traditional BLASTN<br />

approach, the RDP fungal classifier was more rapid (>460-fold with our system)<br />

with similar or superior accuracy. Performance <strong>of</strong> fungal classifier at different taxonomic<br />

levels, sequence lengths and regions was also evaluated. Classification<br />

was more accurate with 400-bp sequence reads than with 100-bp reads and location<br />

<strong>of</strong> hyper variable regions played an important role in accuracy <strong>of</strong> sequence<br />

classification. The fungal classifier shows to be a highly effective tool to analyze<br />

large NGS datasets from environmental surveys, and to determine target regions<br />

in LSU and ITS sequences that will improve accuracy <strong>of</strong> taxonomic classification<br />

when short sequences are obtained. The LSU training set and tool are publicly<br />

available through the Ribosomal Database Project (http://rdp.cme.msu.edu/classifier/classifier.jsp)<br />

Porter, Teresita M and G Brian Golding. McMaster University, Biology Department,<br />

Life Sciences Building, 1280 Main Street West, Hamilton, ON L8S<br />

4K1 Canada. Assigning ITS and LSU rDNA ‘barcodes’ with confidence<br />

Whereas PCR, cloning and Sanger-based sequencing can generate libraries<br />

comprised <strong>of</strong> thousands <strong>of</strong> sequences up to about 600-1000 bp in length;<br />

current highly parallel sequencers are now generating amplicon libraries comprised<br />

<strong>of</strong> millions <strong>of</strong> relatively short sequences <strong>of</strong> about 200-400 bp in length. We<br />

are interested in how these shorter sequences affect the quality <strong>of</strong> automated taxonomic<br />

assignments. Here we present the results from two simulation studies that<br />

specifically address the accuracy and error rate <strong>of</strong> ITS and LSU rDNA markers<br />

using several tools suitable for automating assignments. We compare the performance<br />

<strong>of</strong> programs using similarity-, phylogeny-, and composition-based<br />

methods. Generally, we find that database completeness is perhaps the biggest<br />

factor determining assignment accuracy, followed by query sequence length, assignment<br />

method, primer choice, and sequence error. Specifically, we find that<br />

MEGAN lowest common ancestor (LCA) parsing produces the lowest error rate<br />

when assigning unknown ITS and LSU rDNA sequences; and, the fungal LSU<br />

naïve Bayesian classifier available through the Ribosomal Database Project website<br />

performs significantly faster than BLAST-based methods.<br />

Powell, Martha J and Peter M Letcher. Department <strong>of</strong> Biological Sciences, The<br />

University <strong>of</strong> Alabama, Tuscaloosa, AL 35487. Using cellular structure and<br />

biochemistry for insights into fungal cell biology and phylogeny<br />

Chytridiomycota (chytrids) are now recognized as highly adaptable fungi,<br />

not limited in geography or habitat by the constraints <strong>of</strong> reproduction with a flagellated,<br />

unwalled-spore (=zoospore). As our examination <strong>of</strong> chytrid zoospore ultrastructure<br />

has expanded, we have discovered tremendous variety in organellar<br />

structures and organization. Molecular-based reconstructions <strong>of</strong> phylogeny have<br />

also revealed great genetic diversity among chytrids. The intersection <strong>of</strong> molecular<br />

phylogenies with analyses <strong>of</strong> organellar function is helping us understand how<br />

zoospore structures have evolved within lineages. Zoospore architectural differences<br />

are good predictors <strong>of</strong> molecular-based phylogenies. Selective pressures associated<br />

with habitat differences may be drivers in the evolution <strong>of</strong> zoospore ultrastructure.<br />

Evolution <strong>of</strong> zoospore architecture in the Chytridiales is discussed as<br />

an example <strong>of</strong> how structures have been modified and lost within evolutionary lineages.<br />

Our challenge now is discovering more about the functional roles <strong>of</strong> architectural<br />

design differences in chytrid zoospores.<br />

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