Dataset Information

Genome-wide functional annotation of Phomopsis longicolla isolate MSPL 10-6.

ABSTRACT: Phomopsis seed decay of soybean is caused primarily by the seed-borne fungal pathogen Phomopsis longicolla (syn. Diaporthe longicolla). This disease severely decreases soybean seed quality, reduces seedling vigor and stand establishment, and suppresses yield. It is one of the most economically important soybean diseases. In this study we annotated the entire genome of P. longicolla isolate MSPL 10-6, which was isolated from field-grown soybean seed in Mississippi, USA. This study represents the first reported genome-wide functional annotation of a seed borne fungal pathogen in the Diaporthe-Phomopsis complex. The P. longicolla genome annotation will enable research into the genetic basis of fungal infection of soybean seed and provide information for the study of soybean-fungal interactions. The genome annotation will also be a valuable resource for the research and agricultural communities. It will aid in the development of new control strategies for this pathogen. The annotations can be found from: http://bioinformatics.towson.edu/phomopsis_longicolla/download.html. NCBI accession number is: AYRD00000000.

SUBMITTER: Darwish O

PROVIDER: S-EPMC4856852 | biostudies-other | 2016 Jun

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Genome-wide functional annotation of Phomopsis longicolla isolate MSPL 10-6.

Darwish Omar O Li Shuxian S Matthews Benjamin B Alkharouf Nadim N

Genomics data 20160406

Phomopsis seed decay of soybean is caused primarily by the seed-borne fungal pathogen Phomopsis longicolla (syn. Diaporthe longicolla). This disease severely decreases soybean seed quality, reduces seedling vigor and stand establishment, and suppresses yield. It is one of the most economically important soybean diseases. In this study we annotated the entire genome of P. longicolla isolate MSPL 10-6, which was isolated from field-grown soybean seed in Mississippi, USA. This study represents the ...[more]

PMID: 27222801

Similar Datasets

Project description:BackgroundPhloem feeding insects, such as aphids, feed almost continuously on plant phloem sap, a liquid diet that contains high concentrations of sucrose (a disaccharide comprising of glucose and fructose). To access the available carbon, aphids hydrolyze sucrose in the gut lumen and transport its constituent monosaccharides, glucose and fructose. Although sugar transport plays a critical role in aphid nutrition, the molecular basis of sugar transport in aphids, and more generally across all insects, remains poorly characterized. Here, using the latest release of the pea aphid, Acyrthosiphon pisum, genome we provide an updated gene annotation and expression profile of putative sugar transporters. Finally, gut expressed sugar transporters are functionally expressed in yeast and screened for glucose and fructose transport activity.ResultsIn this study, using a de novo approach, we identified 19 sugar porter (SP) family transporters in the A. pisum genome. Gene expression analysis, based on 214, 834 A. pisum expressed sequence tags, supports 17 sugar porter family transporters being actively expressed in adult female aphids. Further analysis, using quantitative PCR identifies 4 transporters, A. pisum sugar transporter 1, 3, 4 and 9 (ApST1, ApST3, ApST4 and ApST9) as highly expressed and/or enriched in gut tissue. When expressed in a Saccharomyces cerevisiae hexose transporter deletion mutant (strain EBY.VW4000), only ApST3 (previously characterized) and ApST4 (reported here) transport glucose and fructose resulting in functional rescue of the yeast mutant. Here we characterize ApST4, a 491 amino acid protein, with 12 predicted transmembrane regions, as a facilitative glucose/fructose transporter. Finally, phylogenetic reconstruction reveals that ApST4, and related, as yet uncharacterized insect transporters are phylogenetically closely related to human GLUT (SLC2A) class I facilitative glucose/fructose transporters.ConclusionsThe gut enhanced expression of ApST4, and the transport specificity of its product is consistent with ApST4 functioning as a gut glucose/fructose transporter. Here, we hypothesize that both ApST3 (reported previously) and ApST4 (reported here) function at the gut interface to import glucose and fructose from the gut lumen.

Project description:BackgroundRecent advances in the field of metabolic engineering have been expedited by the availability of genome sequences and metabolic modelling approaches. The complete sequencing of the C. reinhardtii genome has made this unicellular alga a good candidate for metabolic engineering studies; however, the annotation of the relevant genes has not been validated and the much-needed metabolic ORFeome is currently unavailable. We describe our efforts on the functional annotation of the ORF models released by the Joint Genome Institute (JGI), prediction of their subcellular localizations, and experimental verification of their structural annotation at the genome scale.ResultsWe assigned enzymatic functions to the translated JGI ORF models of C. reinhardtii by reciprocal BLAST searches of the putative proteome against the UniProt and AraCyc enzyme databases. The best match for each translated ORF was identified and the EC numbers were transferred onto the ORF models. Enzymatic functional assignment was extended to the paralogs of the ORFs by clustering ORFs using BLASTCLUST. In total, we assigned 911 enzymatic functions, including 886 EC numbers, to 1,427 transcripts. We further annotated the enzymatic ORFs by prediction of their subcellular localization. The majority of the ORFs are predicted to be compartmentalized in the cytosol and chloroplast. We verified the structure of the metabolism-related ORF models by reverse transcription-PCR of the functionally annotated ORFs. Following amplification and cloning, we carried out 454FLX and Sanger sequencing of the ORFs. Based on alignment of the 454FLX reads to the ORF predicted sequences, we obtained more than 90% coverage for more than 80% of the ORFs. In total, 1,087 ORF models were verified by 454 and Sanger sequencing methods. We obtained expression evidence for 98% of the metabolic ORFs in the algal cells grown under constant light in the presence of acetate.ConclusionsWe functionally annotated approximately 1,400 JGI predicted metabolic ORFs that can facilitate the reconstruction and refinement of a genome-scale metabolic network. The unveiling of the metabolic potential of this organism, along with structural verification of the relevant ORFs, facilitates the selection of metabolic engineering targets with applications in bioenergy and biopharmaceuticals. The ORF clones are a resource for downstream studies.

Dataset Information

Genome-wide functional annotation of Phomopsis longicolla isolate MSPL 10-6.

Publications

Genome-wide functional annotation of Phomopsis longicolla isolate MSPL 10-6.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets