Evidence map›Paper›PMID 27295958›Full record

ArticleMolecular genetics and genomics : MGG2016

Methods for accurate quantification of LTR-retrotransposon copy number using short-read sequence data: a case study in Sorghum.

Dhanushya Ramachandran, Jennifer S Hawkins

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Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Dhanushya RamachandranDepartment of Biology, West Virginia University, 53 Campus Drive, Morgantown, WV, 26506, USA.
Jennifer S HawkinsDepartment of Biology, West Virginia University, 53 Campus Drive, Morgantown, WV, 26506, USA. Jennifer.hawkins@mail.wvu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable elements (TEs) are ubiquitous in eukaryotic genomes and their mobility impacts genome structure and function in myriad ways. Because of their abundance, activity, and repetitive nature, the characterization and analysis of TEs remain challenging, particularly from short-read sequencing projects. To overcome this difficulty, we have developed a method that estimates TE copy number from short-read sequences. To test the accuracy of our method, we first performed an in silico analysis of the reference Sorghum bicolor genome, using both reference-based and de novo approaches. The resulting TE copy number estimates were strikingly similar to the annotated numbers. We then tested our method on real short-read data by estimating TE copy numbers in several accessions of S. bicolor and its close relative S. propinquum. Both methods effectively identify and rank similar TE families from highest to lowest abundance. We found that de novo characterization was effective at capturing qualitative variation, but underestimated the abundance of some TE families, specifically families of more ancient origin. Also, interspecific reference-based mapping of S. propinquum reads to the S. bicolor database failed to fully describe TE content in S. propinquum, indicative of recent TE activity leading to changes in the respective repetitive landscapes over very short evolutionary timescales. We conclude that reference-based analyses are best suited for within-species comparisons, while de novo approaches are more reliable for evolutionarily distant comparisons.

Indexed as

Gene DosageComputer SimulationGenetic VariationGenome, PlantGenome SizePlant LeavesRetroelementsSequence Analysis, DNASorghumRetroelementsGenome evolutionLTR-retrotransposonsSorghumTransposable elements

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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.