ReviewMolecular biology international2013
The transcriptomics of secondary growth and wood formation in conifers.
Review in Molecular biology international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- MicroRNA-Mediated Post-transcriptional Regulation of Wood Property Traits in Eucalyptus tereticornis.Biochemical genetics · 2026Article
- Genome-Wide Identification, Expression Profiling, and microRNA397-Mediated Regulation of Laccase Genes inPlants (Basel, Switzerland) · 2026Article
- Cytokinin Perception in Ancient Plants beyond Angiospermae.International journal of molecular sciences · 2021Article
- Investigation Into Different Wood Formation Mechanisms Between Angiosperm and Gymnosperm Tree Species at the Transcriptional and Post-transcriptional Level.Frontiers in plant science · 2021Article
- Ray Parenchymal Cells Contribute to Lignification of Tracheids in Developing Xylem of Norway Spruce.Plant physiology · 2019Article
- Drought Sensitivity of Norway Spruce at the Species' Warmest Fringe: Quantitative and Molecular Analysis Reveals High Genetic Variation Among and Within Provenances.G3 (Bethesda, Md.) · 2018Article
- Construction of co-expression network based on natural expression variation of xylogenesis-related transcripts in Eucalyptus tereticornis.Molecular biology reports · 2016Article
- Genetic architecture of wood properties based on association analysis and co-expression networks in white spruce.The New phytologist · 2016Article
- Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness.PloS one · 2016Article
- Transcriptomic Analysis of Multipurpose Timber Yielding Tree Neolamarckia cadamba during Xylogenesis Using RNA-Seq.PloS one · 2016Article
- Sequenced genomes and rapidly emerging technologies pave the way for conifer evolutionary developmental biology.Frontiers in plant science · 2015Review
- Physiological and genomic basis of mechanical-functional trade-off in plant vasculature.Frontiers in plant science · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last years, forestry scientists have adapted genomics and next-generation sequencing (NGS) technologies to the search for candidate genes related to the transcriptomics of secondary growth and wood formation in several tree species. Gymnosperms, in particular, the conifers, are ecologically and economically important, namely, for the production of wood and other forestry end products. Until very recently, no whole genome sequencing of a conifer genome was available. Due to the gradual improvement of the NGS technologies and inherent bioinformatics tools, two draft assemblies of the whole genomes sequence of Picea abies and Picea glauca arose in the current year. These draft genome assemblies will bring new insights about the structure, content, and evolution of the conifer genomes. Furthermore, new directions in the forestry, breeding and research of conifers will be discussed in the following. The identification of genes associated with the xylem transcriptome and the knowledge of their regulatory mechanisms will provide less time-consuming breeding cycles and a high accuracy for the selection of traits related to wood production and quality.
Identifiers
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Registered trials
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.