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SyMAP v3.4: a turnkey synteny system with application to plant genomes

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TLDR
SyMAP (Synteny Mapping and Analysis Program) was originally developed to compute synteny blocks between a sequenced genome and a FPC map, and has been extended to support pairs of sequenced genomes, illustrating their application to the study of genome duplication, differential gene loss and transitive homology between sorghum, maize and rice.
Abstract
SyMAP (Synteny Mapping and Analysis Program) was originally developed to compute synteny blocks between a sequenced genome and a FPC map, and has been extended to support pairs of sequenced genomes. SyMAP uses MUMmer to compute the raw hits between the two genomes, which are then clustered and filtered using the optional gene annotation. The filtered hits are input to the synteny algorithm, which was designed to discover duplicated regions and form larger-scale synteny blocks, where intervening micro-rearrangements are allowed. SyMAP provides extensive interactive Java displays at all levels of resolution along with simultaneous displays of multiple aligned pairs. The synteny blocks from multiple chromosomes may be displayed in a high-level dot plot or three-dimensional view, and the user may then drill down to see the details of a region, including the alignments of the hits to the gene annotation. These capabilities are illustrated by showing their application to the study of genome duplication, differential gene loss and transitive homology between sorghum, maize and rice. The software may be used from a website or standalone for the best performance. A project manager is provided to organize and automate the analysis of multi-genome groups. The software is freely distributed at http://www.agcol.arizona.edu/software/symap.

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Citations
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Journal ArticleDOI

MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity

TL;DR: The MCScanX toolkit implements an adjusted MCScan algorithm for detection of synteny and collinearity that extends the original software by incorporating 14 utility programs for visualization of results and additional downstream analyses.
Journal ArticleDOI

OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy

TL;DR: A novel orthogroups inference algorithm called OrthoFinder is provided that solves a previously undetected gene length bias in orthogroup inference, resulting in significant improvements in accuracy and utility.
Journal ArticleDOI

Draft genome sequence of chickpea ( Cicer arietinum ) provides a resource for trait improvement

TL;DR: This work reports the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes, and identifies targets of both breeding-associated genetic sweeps and breeding- associated balancing selection.
Journal ArticleDOI

MicroRNAs as master regulators of the plant NB-LRR defense gene family via the production of phased, trans-acting siRNAs

TL;DR: The data reveal complex tasiRNA-based regulation of NB-LRRs that potentially evolved to facilitate symbiotic interactions and demonstrate miRNAs as master regulators of a large gene family via the targeting of highly conserved, protein-coding motifs, a new paradigm for miRNA function.

microRNAs as Master Regulators of the Plant NB-LRR Defense Gene Family via the Production of Phased, Trans-acting siRNAs

TL;DR: In this paper, a search for phased siRNAs (phasiRNAs) found at least 114 Medicago loci, the majority of which were defense-related NB-LRR-encoding genes.
References
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Journal ArticleDOI

The B73 Maize Genome: Complexity, Diversity, and Dynamics

Patrick S. Schnable, +159 more
- 20 Nov 2009 - 
TL;DR: The sequence of the maize genome reveals it to be the most complex genome known to date and the correlation of methylation-poor regions with Mu transposon insertions and recombination and how uneven gene losses between duplicated regions were involved in returning an ancient allotetraploid to a genetically diploid state is reported.
Journal ArticleDOI

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TL;DR: This work presents methods for identification and alignment of conserved genomic DNA in the presence of rearrangements and horizontal transfer and evaluated the quality of Mauve alignments and drawn comparison to other methods through extensive simulations of genome evolution.
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