Genome Sequence of the Bile Salt-Degrading Bacterium Novosphingobium sp. Strain Chol11, a Model Organism for Bacterial Steroid Catabolism

ABSTRACT Many bacteria from different phylogenetic groups are able to degrade eukaryotic steroid compounds, but the underlying metabolic pathways are still not well understood. Novosphingobium sp. strain Chol11 is a steroid-degrading alphaproteobacterium. Its genome sequence reveals that it lacks several genes for steroid degradation known to exist in other model organisms.

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RACS: rapid analysis of ChIP-Seq data for contig based genomes

BMC Bioinformatics ◽

10.1186/s12859-019-3100-2 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 1

Author(s):

Alejandro Saettone ◽

Marcelo Ponce ◽

Syed Nabeel-Shah ◽

Jeffrey Fillingham

Keyword(s):

Open Source ◽

Genome Sequence ◽

Dna Sequences ◽

Model Organism ◽

Rapid Analysis ◽

Model Organisms ◽

Published Data ◽

Computational Pipeline ◽

Data Set ◽

Link Type

Abstract Background Chromatin immunoprecipitation coupled to next generation sequencing (ChIP-Seq) is a widely-used molecular method to investigate the function of chromatin-related proteins by identifying their associated DNA sequences on a genomic scale. ChIP-Seq generates large quantities of data that is difficult to process and analyze, particularly for organisms with a contig-based sequenced genomes that typically have minimal annotation on their associated set of genes other than their associated coordinates primarily predicted by gene finding programs. Poorly annotated genome sequence makes comprehensive analysis of ChIP-Seq data difficult and as such standardized analysis pipelines are lacking. Results We present a one-stop computational pipeline, “Rapid Analysis of ChIP-Seq data” (RACS), that utilizes traditional High-Performance Computing (HPC) techniques in association with open source tools for processing and analyzing raw ChIP-Seq data. RACS is an open source computational pipeline available from any of the following repositories https://bitbucket.org/mjponce/RACS or https://gitrepos.scinet.utoronto.ca/public/?a=summary&p=RACS. RACS is particularly useful for ChIP-Seq in organisms with contig-based genomes that have poor gene annotation to aid protein function discovery.To test the performance and efficiency of RACS, we analyzed ChIP-Seq data previously published in a model organism Tetrahymena thermophila which has a contig-based genome. We assessed the generality of RACS by analyzing a previously published data set generated using the model organism Oxytricha trifallax, whose genome sequence is also contig-based with poor annotation. Conclusions The RACS computational pipeline presented in this report is an efficient and reliable tool to analyze genome-wide raw ChIP-Seq data generated in model organisms with poorly annotated contig-based genome sequence. Because RACS segregates the found read accumulations between genic and intergenic regions, it is particularly efficient for rapid downstream analyses of proteins involved in gene expression.

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In Search of Species-Specific SNPs in a Non-Model Animal (European Bison (Bison bonasus))—Comparison of De Novo and Reference-Based Integrated Pipeline of STACKS Using Genotyping-by-Sequencing (GBS) Data

Animals ◽

10.3390/ani11082226 ◽

2021 ◽

Vol 11 (8) ◽

pp. 2226

Author(s):

Sazia Kunvar ◽

Sylwia Czarnomska ◽

Cino Pertoldi ◽

Małgorzata Tokarska

Keyword(s):

Reference Genome ◽

De Novo ◽

Bos Taurus ◽

Model Organism ◽

Genotyping By Sequencing ◽

Model Organisms ◽

European Bison ◽

Model Animal ◽

Pcr Duplicates ◽

Species Specific

The European bison is a non-model organism; thus, most of its genetic and genomic analyses have been performed using cattle-specific resources, such as BovineSNP50 BeadChip or Illumina Bovine 800 K HD Bead Chip. The problem with non-specific tools is the potential loss of evolutionary diversified information (ascertainment bias) and species-specific markers. Here, we have used a genotyping-by-sequencing (GBS) approach for genotyping 256 samples from the European bison population in Bialowieza Forest (Poland) and performed an analysis using two integrated pipelines of the STACKS software: one is de novo (without reference genome) and the other is a reference pipeline (with reference genome). Moreover, we used a reference pipeline with two different genomes, i.e., Bos taurus and European bison. Genotyping by sequencing (GBS) is a useful tool for SNP genotyping in non-model organisms due to its cost effectiveness. Our results support GBS with a reference pipeline without PCR duplicates as a powerful approach for studying the population structure and genotyping data of non-model organisms. We found more polymorphic markers in the reference pipeline in comparison to the de novo pipeline. The decreased number of SNPs from the de novo pipeline could be due to the extremely low level of heterozygosity in European bison. It has been confirmed that all the de novo/Bos taurus and Bos taurus reference pipeline obtained SNPs were unique and not included in 800 K BovineHD BeadChip.

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Genome-wide characterization of 2-oxoglutarate and Fe(II)-dependent dioxygenase family genes in tomato during growth cycle and their roles in metabolism

BMC Genomics ◽

10.1186/s12864-021-07434-3 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Shuo Wei ◽

Wen Zhang ◽

Rao Fu ◽

Yang Zhang

Keyword(s):

Metabolic Pathways ◽

Developmental Stages ◽

Expression Patterns ◽

Growth Cycle ◽

Model Organisms ◽

Gibberellin Biosynthesis ◽

Type I ◽

Multiple Model ◽

Genome Wide ◽

Tomato Growth

Abstract Background 2-Oxoglutarate and Fe(II)-dependent dioxygenases (2ODDs) belong to the 2-oxoglutarate-dependent dioxygenase (2OGD) superfamily and are involved in various vital metabolic pathways of plants at different developmental stages. These proteins have been extensively investigated in multiple model organisms. However, these enzymes have not been systematically analyzed in tomato. In addition, type I flavone synthase (FNSI) belongs to the 2ODD family and contributes to the biosynthesis of flavones, but this protein has not been characterized in tomato. Results A total of 131 2ODDs from tomato were identified and divided into seven clades by phylogenetic classification. The Sl2ODDs in the same clade showed similar intron/exon distributions and conserved motifs. The Sl2ODDs were unevenly distributed across the 12 chromosomes, with different expression patterns among major tissues and at different developmental stages of the tomato growth cycle. We characterized several Sl2ODDs and their expression patterns involved in various metabolic pathways, such as gibberellin biosynthesis and catabolism, ethylene biosynthesis, steroidal glycoalkaloid biosynthesis, and flavonoid metabolism. We found that the Sl2ODD expression patterns were consistent with their functions during the tomato growth cycle. These results indicated the significance of Sl2ODDs in tomato growth and metabolism. Based on this genome-wide analysis of Sl2ODDs, we screened six potential FNSI genes using a phylogenetic tree and coexpression analysis. However, none of them exhibited FNSI activity. Conclusions Our study provided a comprehensive understanding of the tomato 2ODD family and demonstrated the significant roles of these family members in plant metabolism. We also suggest that no FNSI genes in tomato contribute to the biosynthesis of flavones.

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Alliance of Genome Resources Portal: unified model organism research platform

Nucleic Acids Research ◽

10.1093/nar/gkz813 ◽

2019 ◽

Vol 48 (D1) ◽

pp. D650-D658 ◽

Cited By ~ 36

Author(s):

◽

Julie Agapite ◽

Laurent-Philippe Albou ◽

Suzi Aleksander ◽

Joanna Argasinska ◽

...

Keyword(s):

Gene Ontology ◽

Model Organism ◽

Model Organisms ◽

Data Types ◽

Primary Model ◽

Genomic Studies ◽

Health And Disease ◽

Extensive Body ◽

Access To Data ◽

Model Organism Databases

Abstract The Alliance of Genome Resources (Alliance) is a consortium of the major model organism databases and the Gene Ontology that is guided by the vision of facilitating exploration of related genes in human and well-studied model organisms by providing a highly integrated and comprehensive platform that enables researchers to leverage the extensive body of genetic and genomic studies in these organisms. Initiated in 2016, the Alliance is building a central portal (www.alliancegenome.org) for access to data for the primary model organisms along with gene ontology data and human data. All data types represented in the Alliance portal (e.g. genomic data and phenotype descriptions) have common data models and workflows for curation. All data are open and freely available via a variety of mechanisms. Long-term plans for the Alliance project include a focus on coverage of additional model organisms including those without dedicated curation communities, and the inclusion of new data types with a particular focus on providing data and tools for the non-model-organism researcher that support enhanced discovery about human health and disease. Here we review current progress and present immediate plans for this new bioinformatics resource.

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Draft Genome Sequence of the 2-Chloro-4-Nitrophenol-Degrading Bacterium Arthrobacter sp. Strain SJCon

Genome Announcements ◽

10.1128/genomea.00058-13 ◽

2013 ◽

Vol 1 (2) ◽

Cited By ~ 8

Author(s):

S. Vikram ◽

S. Kumar ◽

B. Vaidya ◽

A. K. Pinnaka ◽

G. P. S. Raghava

Keyword(s):

Genome Sequence ◽

Draft Genome ◽

Draft Genome Sequence ◽

Degrading Bacterium

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Elucidating the genetic basis of an oligogenic birth defect using whole genome sequence data in a non-model organism, Bubalus bubalis

Scientific Reports ◽

10.1038/srep39719 ◽

2017 ◽

Vol 7 (1) ◽

Cited By ~ 10

Author(s):

Lynsey K. Whitacre ◽

Jesse L. Hoff ◽

Robert D. Schnabel ◽

Sara Albarella ◽

Francesca Ciotola ◽

...

Keyword(s):

Genome Sequence ◽

Birth Defect ◽

Genetic Basis ◽

Sequence Data ◽

Model Organism ◽

Bubalus Bubalis ◽

Whole Genome Sequence ◽

Whole Genome ◽

Genome Sequence Data

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Genome Sequence of Martelella sp. Strain AD-3, a Moderately Halophilic Polycyclic Aromatic Hydrocarbon-Degrading Bacterium

Genome Announcements ◽

10.1128/genomea.01189-13 ◽

2014 ◽

Vol 2 (1) ◽

Cited By ~ 6

Author(s):

C. Cui ◽

P. Li ◽

G. Liu ◽

H. Tang ◽

K. Lin ◽

...

Keyword(s):

Polycyclic Aromatic Hydrocarbon ◽

Aromatic Hydrocarbon ◽

Genome Sequence ◽

Moderately Halophilic ◽

Degrading Bacterium ◽

Polycyclic Aromatic

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Complete genome sequence of Alcanivorax xenomutans P40, an alkane-degrading bacterium isolated from deep seawater

Marine Genomics ◽

10.1016/j.margen.2017.05.010 ◽

2018 ◽

Vol 38 ◽

pp. 1-4 ◽

Cited By ~ 8

Author(s):

Xiaoteng Fu ◽

Qiliang Lai ◽

Chunming Dong ◽

Wanpeng Wang ◽

Zongze Shao

Keyword(s):

Genome Sequence ◽

Complete Genome Sequence ◽

Complete Genome ◽

Deep Seawater ◽

Degrading Bacterium

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Transgenic Epigenetics: Using Transgenic Organisms to Examine Epigenetic Phenomena

Genetics Research International ◽

10.1155/2012/689819 ◽

2012 ◽

Vol 2012 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Lori A. McEachern

Keyword(s):

Molecular Mechanisms ◽

Model Organism ◽

Evolutionary Conservation ◽

Model Organisms ◽

Valuable Insight ◽

Epigenetic Control ◽

Transgenic Organisms ◽

Epigenetic Analysis ◽

Insight Into ◽

Epigenetic Processes

Non-model organisms are generally more difficult and/or time consuming to work with than model organisms. In addition, epigenetic analysis of model organisms is facilitated by well-established protocols, and commercially-available reagents and kits that may not be available for, or previously tested on, non-model organisms. Given the evolutionary conservation and widespread nature of many epigenetic mechanisms, a powerful method to analyze epigenetic phenomena from non-model organisms would be to use transgenic model organisms containing an epigenetic region of interest from the non-model. Interestingly, while transgenic Drosophila and mice have provided significant insight into the molecular mechanisms and evolutionary conservation of the epigenetic processes that target epigenetic control regions in other model organisms, this method has so far been under-exploited for non-model organism epigenetic analysis. This paper details several experiments that have examined the epigenetic processes of genomic imprinting and paramutation, by transferring an epigenetic control region from one model organism to another. These cross-species experiments demonstrate that valuable insight into both the molecular mechanisms and evolutionary conservation of epigenetic processes may be obtained via transgenic experiments, which can then be used to guide further investigations and experiments in the species of interest.

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