A New Omics Data Resource of Pleurocybellaporrigens for Gene Discovery

نویسندگان

  • Tomohiro Suzuki
  • Kaori Igarashi
  • Hideo Dohra
  • Takumi Someya
  • Tomoyuki Takano
  • Kiyonori Harada
  • Saori Omae
  • Hirofumi Hirai
  • Kentaro Yano
  • Hirokazu Kawagishi
چکیده

BACKGROUND Pleurocybellaporrigens is a mushroom-forming fungus, which has been consumed as a traditional food in Japan. In 2004, 55 people were poisoned by eating the mushroom and 17 people among them died of acute encephalopathy. Since then, the Japanese government has been alerting Japanese people to take precautions against eating the P. porrigens mushroom. Unfortunately, despite efforts, the molecular mechanism of the encephalopathy remains elusive. The genome and transcriptome sequence data of P. porrigens and the related species, however, are not stored in the public database. To gain the omics data in P. porrigens, we sequenced genome and transcriptome of its fruiting bodies and mycelia by next generation sequencing. METHODOLOGY/PRINCIPAL FINDINGS Short read sequences of genomic DNAs and mRNAs in P. porrigens were generated by Illumina Genome Analyzer. Genome short reads were de novo assembled into scaffolds using Velvet. Comparisons of genome signatures among Agaricales showed that P. porrigens has a unique genome signature. Transcriptome sequences were assembled into contigs (unigenes). Biological functions of unigenes were predicted by Gene Ontology and KEGG pathway analyses. The majority of unigenes would be novel genes without significant counterparts in the public omics databases. CONCLUSIONS Functional analyses of unigenes present the existence of numerous novel genes in the basidiomycetes division. The results mean that the omics information such as genome, transcriptome and metabolome in basidiomycetes is short in the current databases. The large-scale omics information on P. porrigens, provided from this research, will give a new data resource for gene discovery in basidiomycetes.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Weighted-HR: An Improved Hierarchical Grid Resource Discovery

Grid computing environments include heterogeneous resources shared by a large number of computers to handle the data and process intensive applications. In these environments, the required resources must be accessible for Grid applications on demand, which makes the resource discovery as a critical service. In recent years, various techniques are proposed to index and discover the Grid resource...

متن کامل

نقش امیکس ها در تحقیقات بالینی- دارویی

Completion of the human genome project revealed that the molecular mechanisms of cellular responses to different situations cannot be predicted from the sequence of their genes. Hence, most biological researches are focused on the roles of proteins which are much more challenging tasks. Omics technologies, instead of analyzing individual components of an organism by conventional biochemical met...

متن کامل

Precision Medicine: A New Revolution in Healthcare System

Every human being is different based on genetics, lifestyle, and environmental factors. Novel medical technologies have become more precise owing to molecular information, including genomics, transcriptomics, proteomics, metabolomics, etc. The “omics” technologies have opened up new horizons for healthcare systems, enabling them to prevent and/or diagnose diseases more precisel...

متن کامل

Integrated bioinformatics analysis for cancer target identification.

The exponential growth of high-throughput Omics data has provided an unprecedented opportunity for new target identification to fuel the dried-up drug discovery pipeline. However, the bioinformatics analysis of large amount and heterogeneous Omics data has posed a great deal of technical challenges for experimentalists who lack statistical skills. Moreover, due to the complexity of human diseas...

متن کامل

Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli

A significant obstacle in training predictive cell models is the lack of integrated data sources. We develop semi-supervised normalization pipelines and perform experimental characterization (growth, transcriptional, proteome) to create Ecomics, a consistent, quality-controlled multi-omics compendium for Escherichia coli with cohesive meta-data information. We then use this resource to train a ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013