Literature DB >> 16203709

Water stress-responsive genes in loblolly pine (Pinus taeda) roots identified by analyses of expressed sequence tag libraries.

W Walter Lorenz1, Feng Sun, Chun Liang, Dmitri Kolychev, Haiming Wang, Xin Zhao, Marie-Michele Cordonnier-Pratt, Lee H Pratt, Jeffrey F D Dean.   

Abstract

Drought stress is the principal cause of seedling mortality in pine forests of the southeastern United States and in many other forested regions around the globe. As part of a larger effort to discover loblolly pine genes, this study subjected rooted cuttings of three unrelated pine genotypes to three watering regimens. Expressed sequence tags (ESTs) were obtained from both the 3' and 5' ends of 12,918 randomly selected cDNAs generated from root tissues. These ESTs were clustered to identify 6,765 unique transcripts (UniScripts) derived from 6,202 putative unique genes (UniGenes-S). Tentative annotations were assigned on the basis of BLASTX comparisons to the Protein Information Resource Nonredundant Reference (PIR-NREF) database. Expression levels of 42 UniScripts varied with high statistical significance with respect to treatment. Many of them resembled gene products shown to be important for drought tolerance in other species, including dehydrins, endochitinases, cytochrome P450 enzymes, pathogenesis-related proteins and various late-embryogenesis abundant (LEA) gene products. Similarly, expression levels of 110 UniScripts varied with high statistical significance among genotypes, indicating that gene expression patterns in this species are much more dependent on genotype than on treatment. Most of the water stress-induced pine UniScripts that appeared to encode products resembling drought tolerance factors in other species were most highly induced in a single genotype, suggesting that particularly useful adaptive alleles for drought tolerance might exist within the collection of cDNAs characterized from this genotype. Mining and visualizing the complete data set, as well as downloading of both EST and UniScript contig sequences, are possible using MAGIC Gene Discovery at http://fungen.org/genediscovery/.

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Year:  2006        PMID: 16203709     DOI: 10.1093/treephys/26.1.1

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  25 in total

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Journal:  Planta       Date:  2012-04-13       Impact factor: 4.116

2.  A white spruce gene catalog for conifer genome analyses.

Authors:  Philippe Rigault; Brian Boyle; Pierre Lepage; Janice E K Cooke; Jean Bousquet; John J MacKay
Journal:  Plant Physiol       Date:  2011-07-05       Impact factor: 8.340

3.  Expressed sequence tags from loblolly pine embryos reveal similarities with angiosperm embryogenesis.

Authors:  John Cairney; Li Zheng; Allison Cowels; Joseph Hsiao; Victoria Zismann; Jia Liu; Shu Ouyang; Francoise Thibaud-Nissen; John Hamilton; Kevin Childs; Gerald S Pullman; Yiting Zhang; Thomas Oh; C Robin Buell
Journal:  Plant Mol Biol       Date:  2006-09-26       Impact factor: 4.076

4.  Pattern analysis approach reveals restriction enzyme cutting abnormalities and other cDNA library construction artifacts using raw EST data.

Authors:  Sun Zhou; Guoli Ji; Xiaolin Liu; Pei Li; James Moler; John E Karro; Chun Liang
Journal:  BMC Biotechnol       Date:  2012-05-03       Impact factor: 2.563

5.  Transcriptome profiling in conifers and the PiceaGenExpress database show patterns of diversification within gene families and interspecific conservation in vascular gene expression.

Authors:  Elie Raherison; Philippe Rigault; Sébastien Caron; Pier-Luc Poulin; Brian Boyle; Jukka-Pekka Verta; Isabelle Giguère; Claude Bomal; Jörg Bohlmann; John MacKay
Journal:  BMC Genomics       Date:  2012-08-29       Impact factor: 3.969

6.  Adventures in the enormous: a 1.8 million clone BAC library for the 21.7 Gb genome of loblolly pine.

Authors:  Zenaida V Magbanua; Seval Ozkan; Benjamin D Bartlett; Philippe Chouvarine; Christopher A Saski; Aaron Liston; Richard C Cronn; C Dana Nelson; Daniel G Peterson
Journal:  PLoS One       Date:  2011-01-21       Impact factor: 3.240

7.  Microarray analysis and scale-free gene networks identify candidate regulators in drought-stressed roots of loblolly pine (P. taeda L.).

Authors:  W Walter Lorenz; Rob Alba; Yuan-Sheng Yu; John M Bordeaux; Marta Simões; Jeffrey F D Dean
Journal:  BMC Genomics       Date:  2011-05-24       Impact factor: 3.969

8.  Processing the loblolly pine PtGen2 cDNA microarray.

Authors:  W Walter Lorenz; Yuan-Sheng Yu; Marta Simões; Jeffrey F D Dean
Journal:  J Vis Exp       Date:  2009-03-20       Impact factor: 1.355

9.  Extensive Variation in Drought-Induced Gene Expression Changes Between Loblolly Pine Genotypes.

Authors:  Jingjia Li; Jason B West; Alexander Hart; Jill L Wegrzyn; Matthew A Smith; Jean-Christophe Domec; Carol A Loopstra; Claudio Casola
Journal:  Front Genet       Date:  2021-05-31       Impact factor: 4.599

10.  Transcriptome characterisation of Pinus tabuliformis and evolution of genes in the Pinus phylogeny.

Authors:  Shi-Hui Niu; Zhe-Xin Li; Hu-Wei Yuan; Xiao-Yang Chen; Yue Li; Wei Li
Journal:  BMC Genomics       Date:  2013-04-18       Impact factor: 3.969

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