Literature DB >> 17499008

Will genomics guide a greener forest biotech?

Andrew T Groover1.   

Abstract

Forest biotechnology has been increasingly associated with wood production using plantation forestry, and has stressed applications that use pedigreed material and transgenic trees. Reasons for this emphasis include limitations of available technologies to conform to underlying genetic features of undomesticated forest tree populations. More recently, genomic technologies have rapidly begun to expand the scope of forest biotechnology. Genomic technologies are well suited to describe and make use of the abundant genetic variation present in undomesticated forest tree populations. Genomics thus enables new research and applications for conservation and management of natural forests, and is a primary technological driver for new research addressing the use of forests trees for carbon sequestration, biofuels feedstocks, and other 'green' applications.

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Year:  2007        PMID: 17499008     DOI: 10.1016/j.tplants.2007.04.005

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  4 in total

1.  Evaluation of potential reference genes for use in gene expression studies in the conifer pathogen (Heterobasidion annosum).

Authors:  Tommaso Raffaello; Fred O Asiegbu
Journal:  Mol Biol Rep       Date:  2013-05-05       Impact factor: 2.316

2.  Increased resistance of Bt aspens to Phratora vitellinae (Coleoptera) leads to increased plant growth under experimental conditions.

Authors:  Joakim Hjältén; E Petter Axelsson; Thomas G Whitham; Carri J LeRoy; Riitta Julkunen-Tiitto; Anders Wennström; Gilles Pilate
Journal:  PLoS One       Date:  2012-01-24       Impact factor: 3.240

3.  Creating Completely Both Male and Female Sterile Plants by Specifically Ablating Microspore and Megaspore Mother Cells.

Authors:  Jian Huang; Ashley R Smith; Tianyu Zhang; Dazhong Zhao
Journal:  Front Plant Sci       Date:  2016-02-01       Impact factor: 5.753

4.  Evaluation of experimental design and computational parameter choices affecting analyses of ChIP-seq and RNA-seq data in undomesticated poplar trees.

Authors:  Lijun Liu; Victor Missirian; Matthew Zinkgraf; Andrew Groover; Vladimir Filkov
Journal:  BMC Genomics       Date:  2014-07-14       Impact factor: 3.969

  4 in total

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