scholarly journals Effects of nitrogen fertilization on global xylem transcript profiling of Eucalyptus urophylla x grandisevaluated by RNA-seq technology

2011 ◽  
Vol 5 (S7) ◽  
Author(s):  
Eduardo Camargo ◽  
Leandro Costa ◽  
Marçal Soler ◽  
Marcela Salazar ◽  
Jorge Lepikson ◽  
...  
BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 164 ◽  
Author(s):  
Jinhui Chen ◽  
Beibei Chen ◽  
Deqiang Zhang

2018 ◽  
Vol 67 (1) ◽  
pp. 57-65
Author(s):  
Alexandre Vaillant ◽  
Astrid Honvault ◽  
Stéphanie Bocs ◽  
Maryline Summo ◽  
Garel Makouanzi ◽  
...  

Abstract To assess the genetic and environmental components of gene-expression variation among trees we used RNA-seq technology and Eucalyptus urophylla x grandis hybrid clones tested in field conditions. Leaf and xylem transcriptomes of three 20 month old clones differing in terms of growth, repeated in two blocks, were investigated. Transcriptomes were very similar between ramets. The number of expressed genes was significantly (P<0.05) higher in leaf (25,665±634) than in xylem (23,637±1,241). A pairwise clone comparisons approach showed that 4.5 to 14 % of the genes were diffe­rentially expressed (false discovery rate [FDR]<0.05) in leaf and 7.1 to 16 % in xylem. An assessment of among clone variance components revealed significant results in leaf and xylem in 3431 (248) genes (at FDR<0.2) and 160 (3) (at FDR<0.05), respectively. These two complementary approa­ches displayed correlated results. A focus on the phenylpro­panoid, cellulose and xylan pathways revealed a large majo­rity of low expressed genes and a few highly expressed ones, with RPKM values ranging from nearly 0 to 600 in leaf and 10,000 in xylem. Out of the 115 genes of these pathways, 45 showed differential expression for at least one pair of geno­type, five of which displaying also clone variance compo­nents. These preliminary results are promising in evaluating whether gene expression can serve as possible ‘intermediate phenotypes’ that could improve the accuracy of selection of grossly observable traits.


BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 571 ◽  
Author(s):  
Junwen Chen ◽  
Kai Hou ◽  
Peng Qin ◽  
Hongchang Liu ◽  
Bin Yi ◽  
...  

2016 ◽  
Vol 130 (2) ◽  
pp. 365-372 ◽  
Author(s):  
Hui Li ◽  
Defang Li ◽  
Anguo Chen ◽  
Huijuan Tang ◽  
Jianjun Li ◽  
...  

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