Evidence map›Paper›PMID 23122049›Full record

ArticleBMC genomics2012

Sequencing of the needle transcriptome from Norway spruce (Picea abies Karst L.) reveals lower substitution rates, but similar selective constraints in gymnosperms and angiosperms.

Jun Chen, Severin Uebbing, Niclas Gyllenstrand, Ulf Lagercrantz, Martin Lascoux, Thomas Källman

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jun ChenDepartment of Ecology and Genetics, EBC, Uppsala University, 752 36 Uppsala, Sweden.
Severin Uebbing
Niclas Gyllenstrand
Ulf Lagercrantz
Martin Lascoux
Thomas Källman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA detailed knowledge about spatial and temporal gene expression is important for understanding both the function of genes and their evolution. For the vast majority of species, transcriptomes are still largely uncharacterized and even in those where substantial information is available it is often in the form of partially sequenced transcriptomes. With the development of next generation sequencing, a single experiment can now simultaneously identify the transcribed part of a species genome and estimate levels of gene expression.

resultsmRNA from actively growing needles of Norway spruce (Picea abies) was sequenced using next generation sequencing technology. In total, close to 70 million fragments with a length of 76 bp were sequenced resulting in 5 Gbp of raw data. A de novo assembly of these reads, together with publicly available expressed sequence tag (EST) data from Norway spruce, was used to create a reference transcriptome. Of the 38,419 PUTs (putative unique transcripts) longer than 150 bp in this reference assembly, 83.5% show similarity to ESTs from other spruce species and of the remaining PUTs, 3,704 show similarity to protein sequences from other plant species, leaving 4,167 PUTs with limited similarity to currently available plant proteins. By predicting coding frames and comparing not only the Norway spruce PUTs, but also PUTs from the close relatives Picea glauca and Picea sitchensis to both Pinus taeda and Taxus mairei, we obtained estimates of synonymous and non-synonymous divergence among conifer species. In addition, we detected close to 15,000 SNPs of high quality and estimated gene expression differences between samples collected under dark and light conditions.

conclusionsOur study yielded a large number of single nucleotide polymorphisms as well as estimates of gene expression on transcriptome scale. In agreement with a recent study we find that the synonymous substitution rate per year (0.6 × 10-09 and 1.1 × 10-09) is an order of magnitude smaller than values reported for angiosperm herbs. However, if one takes generation time into account, most of this difference disappears. The estimates of the dN/dS ratio (non-synonymous over synonymous divergence) reported here are in general much lower than 1 and only a few genes showed a ratio larger than 1.

Indexed as

Evolution, MolecularBase SequenceBayes TheoremDNA, ComplementaryExpressed Sequence TagsGene Expression ProfilingHigh-Throughput Nucleotide SequencingModels, GeneticMolecular Sequence DataPiceaPlant LeavesPolymorphism, Single NucleotideRNA, MessengerSpecies SpecificityTranscriptomeDNA, ComplementaryRNA, Messenger

Identifiers

PMID23122049
PMCPMC3543189

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LicenceCC BY
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Registered trials

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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.