Literature DB >> 15948834

Nucleotide variation in genes involved in wood formation in two pine species.

David Pot1, Lisa McMillan, Craig Echt, Grégoire Le Provost, Pauline Garnier-Géré, Sheree Cato, Christophe Plomion.   

Abstract

Nucleotide diversity in eight genes related to wood formation was investigated in two pine species, Pinus pinaster and P. radiata. The nucleotide diversity patterns observed and their properties were compared between the two species according to the specific characteristics of the samples analysed. A lower diversity was observed in P. radiata compared with P. pinaster. In particular, for two genes (Pp1, a glycin-rich protein homolog and CesA3, a cellulose synthase) the magnitude of the reduction of diversity potentially indicates the action of nonneutral factors. For both, particular patterns of nucleotide diversity were observed in P. pinaster (high genetic differentiation for Pp1 and close to zero differentiation associated with positive Tajima's D-value for CesA3). In addition, KORRIGAN, a gene involved in cellulose-hemicellulose assembly, demonstrated a negative Tajima's D-value in P. radiata accompanied by a high genetic differentiation in P. pinaster. The consistency of the results obtained at the nucleotide level, together with the physiological roles of the genes analysed, indicate their potential susceptibility to artificial and/or natural selection.

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Year:  2005        PMID: 15948834     DOI: 10.1111/j.1469-8137.2005.01417.x

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


  14 in total

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10.  Generation, annotation, analysis and database integration of 16,500 white spruce EST clusters.

Authors:  Nathalie Pavy; Charles Paule; Lee Parsons; John A Crow; Marie-Josee Morency; Janice Cooke; James E Johnson; Etienne Noumen; Carine Guillet-Claude; Yaron Butterfield; Sarah Barber; George Yang; Jerry Liu; Jeff Stott; Robert Kirkpatrick; Asim Siddiqui; Robert Holt; Marco Marra; Armand Seguin; Ernest Retzel; Jean Bousquet; John MacKay
Journal:  BMC Genomics       Date:  2005-10-19       Impact factor: 3.969

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