Literature DB >> 18381269

Comparative analysis of transcript abundance in Pinus sylvestris after challenge with a saprotrophic, pathogenic or mutualistic fungus.

Aleksandra Adomas1, Gregory Heller, Ake Olson, Jason Osborne, Magnus Karlsson, Jarmila Nahalkova, Len Van Zyl, Ron Sederoff, Jan Stenlid, Roger Finlay, Frederick O Asiegbu.   

Abstract

To investigate functional differences in the recognition and response mechanisms of conifer roots to fungi with different trophic strategies, Pinus sylvestris L. was challenged with a saprotrophic fungus Trichoderma aureoviride Rifai. The results were compared with separate studies investigating pine interactions with a pathogen, Heterobasidion annosum (Fr.) Bref. sensu stricto and an ectomycorrhizal symbiont, Laccaria bicolor Maire (Orton). Global changes in the expression of 2109 conifer genes were assayed 1, 5 and 15 days after inoculation. Gene expression data from a cDNA microarray were analyzed by the 2-interconnected mixed linear model statistical approach. The total number of genes differentially expressed compared with the uninfected control was similar after challenge with the pathogen and the ectomycorrhizal symbiont, but the number of differentially expressed genes increased over time for H. annosum, and decreased for L. bicolor. Inoculation of pine roots with T. aureoviride resulted overall in a much lower number of genes with changed transcript levels compared with inoculation with H. annosum or L. bicolor. Functional classification of the differentially expressed genes revealed that the ectomycorrhizal fungus triggered transient induction of defence-related genes. The response and induction of defence against the pathogen was delayed and the magnitude increased over time. Thus, there were specific transcriptional responses depending on whether the conifer roots were challenged with mutualistic, saprotrophic or pathogenic fungi. This suggests that pine trees are able to recognize diverse fungal species and specifically distinguish whether they are pathogenic, neutral or beneficial microbial agents.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18381269     DOI: 10.1093/treephys/28.6.885

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


  7 in total

1.  Expression and β-glucan binding properties of Scots pine (Pinus sylvestris L.) antimicrobial protein (Sp-AMP).

Authors:  Sanjeewani Sooriyaarachchi; Emad Jaber; Adrian Suárez Covarrubias; Wimal Ubhayasekera; Frederick O Asiegbu; Sherry L Mowbray
Journal:  Plant Mol Biol       Date:  2011-05-17       Impact factor: 4.076

2.  Identification of Key Genes Associated with Changes in the Host Response to Severe Burn Shock: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.

Authors:  Xiao Fang; Shu-Fang Duan; Yu-Zhou Gong; Fei Wang; Xu-Lin Chen
Journal:  J Inflamm Res       Date:  2020-12-01

3.  KIF26B, a novel oncogene, promotes proliferation and metastasis by activating the VEGF pathway in gastric cancer.

Authors:  H Zhang; R-R Ma; X-J Wang; Z-X Su; X Chen; D-B Shi; X-Y Guo; H-T Liu; P Gao
Journal:  Oncogene       Date:  2017-06-05       Impact factor: 9.867

4.  EuroPineDB: a high-coverage web database for maritime pine transcriptome.

Authors:  Noé Fernández-Pozo; Javier Canales; Darío Guerrero-Fernández; David P Villalobos; Sara M Díaz-Moreno; Rocío Bautista; Arantxa Flores-Monterroso; M Ángeles Guevara; Pedro Perdiguero; Carmen Collada; M Teresa Cervera; Alvaro Soto; Ricardo Ordás; Francisco R Cantón; Concepción Avila; Francisco M Cánovas; M Gonzalo Claros
Journal:  BMC Genomics       Date:  2011-07-15       Impact factor: 3.969

5.  Expression analysis of Clavata1-like and Nodulin21-like genes from Pinus sylvestris during ectomycorrhiza formation.

Authors:  Gregory Heller; Karl Lundén; Roger D Finlay; Frederick O Asiegbu; Malin Elfstrand
Journal:  Mycorrhiza       Date:  2011-07-13       Impact factor: 3.387

6.  Marrying chemistry with biology by combining on-chip solution-based combinatorial synthesis and cellular screening.

Authors:  Maximilian Benz; Mijanur R Molla; Alexander Böser; Alisa Rosenfeld; Pavel A Levkin
Journal:  Nat Commun       Date:  2019-06-28       Impact factor: 14.919

7.  Future Veterinary Diagnostics.

Authors:  Bob Dahlhausen
Journal:  J Exot Pet Med       Date:  2010-09-19       Impact factor: 0.453

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.