Inoculum 63(3) - Mycological Society of America
Inoculum 63(3) - Mycological Society of America
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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