Literature DB >> 17504460

Metabolite profiling of Douglas-fir (Pseudotsuga menziesii) field trials reveals strong environmental and weak genetic variation.

Andrew R Robinson1, Nicholas K Ukrainetz1, Kyu-Young Kang1, Shawn D Mansfield1.   

Abstract

The primary objective of this study was to assess metabolomics for its capacity to discern biological variation among 10 full-sib families of a Douglas-fir tree breeding population, replicated on two sites. The differential accumulation of small metabolites in developing xylem was examined through metabolite profiles (139 metabolites common to 181 individual trees) generated by gas chromatography mass spectrometry and a series of statistical analyses that incorporated family, site, and tree growth and quantitative phenotypic wood traits (wood density, microfibril angle, wood chemistry and fiber morphology). Multivariate discriminant, canonical discriminant and factor analyses and broad-sense heritabilities revealed that metabolic and phenotypic traits alike were strongly related to site, while similar associations relating to genetic (family) structure were weak in comparison. Canonical correlation analysis subsequently identified correlations between specific phenotypic traits (i.e. tree growth, fibre morphology and wood chemistry) and metabolic traits (i.e. carbohydrate and lignin biosynthetic metabolites), demonstrating a coherent relationship between genetics, metabolism, environmental and phenotypic expression in wood-forming tissue. The association between cambial metabolites and tree phenotype, as revealed by metabolite profiling, demonstrates the value of metabolomics for systems biology approaches to understanding tree growth and secondary cell wall biosynthesis in plants.

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Year:  2007        PMID: 17504460     DOI: 10.1111/j.1469-8137.2007.02046.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  10 in total

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2.  Metabolite Profiles of Maize Leaves in Drought, Heat, and Combined Stress Field Trials Reveal the Relationship between Metabolism and Grain Yield.

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3.  UHPLC-ESI/TOFMS determination of salicylate-like phenolic gycosides in Populus tremula leaves.

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4.  An ultra-fast metabolite prediction algorithm.

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Journal:  PLoS One       Date:  2012-06-20       Impact factor: 3.240

5.  Metabolite changes in conifer buds and needles during forced bud break in Norway spruce (Picea abies) and European silver fir (Abies alba).

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Journal:  Front Plant Sci       Date:  2014-12-11       Impact factor: 5.753

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Journal:  Ecol Evol       Date:  2016-08-23       Impact factor: 2.912

7.  Source identification of western Oregon Douglas-fir wood cores using mass spectrometry and random forest classification.

Authors:  Kristen Finch; Edgard Espinoza; F Andrew Jones; Richard Cronn
Journal:  Appl Plant Sci       Date:  2017-05-12       Impact factor: 1.936

8.  Planting Density Affects Panax notoginseng Growth and Ginsenoside Accumulation by Balancing Primary and Secondary Metabolism.

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9.  Impact of environmental variables on yield related traits and bioactive compounds of the Persian fenugreek (Trigonella foenum-graecum L.) populations.

Authors:  Masoumeh Rajabihashjin; Mehrshad Zeinalabedini; Ali Asghari; Mohammad Reza Ghaffari; Ghasem Hosseini Salekdeh
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

10.  Transcriptome responses to temperature, water availability and photoperiod are conserved among mature trees of two divergent Douglas-fir provenances from a coastal and an interior habitat.

Authors:  Moritz Hess; Henning Wildhagen; Laura Verena Junker; Ingo Ensminger
Journal:  BMC Genomics       Date:  2016-08-26       Impact factor: 3.969

  10 in total

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