Evidence map›Paper›PMID 20868500›Full record

ArticleBMC genomics2010

Large synteny blocks revealed between Caenorhabditis elegans and Caenorhabditis briggsae genomes using OrthoCluster.

Ismael A Vergara, Nansheng Chen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Ismael A VergaraDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada.
Nansheng Chen
Simon Fraser University · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundAccurate identification of synteny blocks is an important step in comparative genomics towards the understanding of genome architecture and expression. Most computer programs developed in the last decade for identifying synteny blocks have limitations. To address these limitations, we recently developed a robust program called OrthoCluster, and an online database OrthoClusterDB. In this work, we have demonstrated the application of OrthoCluster in identifying synteny blocks between the genomes of Caenorhabditis elegans and Caenorhabditis briggsae, two closely related hermaphrodite nematodes.

resultsInitial identification and analysis of synteny blocks using OrthoCluster enabled us to systematically improve the genome annotation of C. elegans and C. briggsae, identifying 52 potential novel genes in C. elegans, 582 in C. briggsae, and 949 novel orthologous relationships between these two species. Using the improved annotation, we have detected 3,058 perfect synteny blocks that contain no mismatches between C. elegans and C. briggsae. Among these synteny blocks, the majority are mapped to homologous chromosomes, as previously reported. The largest perfect synteny block contains 42 genes, which spans 201.2 kb in Chromosome V of C. elegans. On average, perfect synteny blocks span 18.8 kb in length. When some mismatches (interruptions) are allowed, synteny blocks ("imperfect synteny blocks") that are much larger in size are identified. We have shown that the majority (80%) of the C. elegans and C. briggsae genomes are covered by imperfect synteny blocks. The largest imperfect synteny block spans 6.14 Mb in Chromosome X of C. elegans and there are 11 synteny blocks that are larger than 1 Mb in size. On average, imperfect synteny blocks span 63.6 kb in length, larger than previously reported.

conclusionsWe have demonstrated that OrthoCluster can be used to accurately identify synteny blocks and have found that synteny blocks between C. elegans and C. briggsae are almost three-folds larger than previously identified.

Indexed as

SoftwareAnimalsCaenorhabditisCaenorhabditis elegansComputational BiologyConserved SequenceGenes, HelminthGenome, HelminthModels, GeneticMolecular Sequence AnnotationOperonSequence Homology, Nucleic AcidSynteny

Identifiers

PMID20868500
PMCPMC2997010
OpenAlexW2124599625

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.