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The genetic control of bud phenology in hybrid poplar was studied by mapping quantitative trait loci (QTL) affecting the timing of autumn bud set and spring bud flush. The founders of the mapping pedigree were collected from widely separated latitudes to maximize segregating variation for dormancy-related traits in the F(2) generation-the female Populus trichocarpa parent is from Washington State (48 degrees N) and the male P. deltoides parent is from Texas (31 degrees N). Bud set and bud flush timing were measured on the F(2) generation in a replicated clonal field trial. Using a linkage map constructed of AFLP and microsatellite markers, three QTL controlling bud set and six QTL controlling bud flush were detected. Additionally, five candidate genes believed to be involved in perception of photoperiod (PHYB1, PHYB2) or transduction of abscisic acid response signals (ABI1B, ABI1D, and ABI3) were placed on the QTL map. PHYB2 and ABI1B were found to be coincident with QTL affecting bud set and bud flush.

With random amplified polymorphic DNA (RAPD) markers, we have tagged a genomic region in Populus sp. involved in qualitative resistance to Melampsora larici-populina. Our approach was based on three steps: use of RAPD markers that can be quickly and efficiently researched: application of "bulked segregant analysis" technique on individuals of one interspecific family P. trichocarpa x P. deltoides to search for RAPD markers linked to resistance; and validation of these markers in two other families linked with the first one in a 2 x 2 factorial mating design. Of five detected markers, only one marker M03/04_480 was polymorphic in the three segregating families, involving 89 individuals and four different parents. We have estimated the recombination value of 1 cM with 1 cM sampling error.

We have mapped quantitative trait loci (QTLs) for commercially important traits (stem growth and form) and an adaptive trait (spring leaf flush) in a Populus F2 generation derived from a cross between interspecific F1 hybrids (P. trichocarpa x P. deltoides). Phenotypic data were collected over a 2-year period from a replicated clonal trial containing ramets of the parental, F1, and F2 trees. Contrary to the assumptions of simple polygenic models of quantitative trait inheritance, 1-5 QTLs of large effect are responsible for a large portion of the genetic variance in each of the traits measured. For example, 44.7% of the genetic variance in stem volume after 2 years of growth is controlled by just two QTLs. QTLs governing stem basal area were found clustered with QTLs for sylleptic branch leaf area, sharing similar chromosomal position and mode of action and suggesting a pleiotropic effect of QTLs ultimately responsible for stem diameter growth.

Wounding hybrid poplar (Populus trichocarpa x P. deltoides) trees results in the expression of novel wound-inducible (win) mRNAs thought to encode proteins involved in defense against pests and pathogens. Members of the win6 gene family encode acidic multi-domain chitinases, with combined structure and charge characteristics that differ from previously described chitinases. Win6 expression has been shown to occur in pooled unwounded leaves of a wounded (on multiple leaves) poplar plant. Here we demonstrate that wounding a single leaf induces win6 expression locally, in the wounded leaf, and remotely, in specific unwounded leaves with strong vascular connections to the wounded leaf. We also demonstrate that a win6 promoter-beta-glucuronidase (GUS) gene fusion (win6-GUS) responds to wounding locally and remotely in transgenic tobacco. These data indicate that the poplar win6 promoter has regulatory elements that are responsive to 'wound signals' in the heterologous host. In addition, win6-GUS is developmentally activated in unwounded young leaves and floral tissues of transgenic tobacco. Similar developmental expression patterns are found to occur for win6 in poplar trees, demonstrating that a herbaceous plant can serve as a host for woody tree transgene analysis and can accurately predict expression patterns in tree tissues (e.g. flowers) that would be difficult to study in free-living trees.

Poplar trees have at least two different chitinase genes, win6 and win8, which are systemically wound-inducible and belong to multigene families [Proc Natl Acad Sci USA 86: 7895-7899]. On one genomic clone that we have partially sequenced, there are three win6 genes which are transcriptionally oriented in the same direction. Between two of the win6 genes is a gene that we have designated chitinase X (chiX), which appears to be a pseudogene belonging to a multigene family distinct from win6 and win8. The win6 and chiX genes we have sequenced contain two AT-rich introns that correspond in location to those in a basic chitinase gene from tobacco. The predicted Win6 proteins have a putative signal peptide, a cysteine-rich 'hevein' domain, a hinge region, and a catalytic domain as described in Shinshi et al. [Plant Mol Biol 14: 357-368]. The predicted Win8 protein, by contrast, completely lacks a hinge region. Both Win6 and Win8 are expected to be highly acidic (with a calculated net charge of -15 to -17), whereas ChiX proteins are likely to be basic. Based on an inferred phylogeny, the catalytic domain of ChiX is more closely related to the basic chitinases of herbaceous plants than are either Win6 or Win8.

cDNAs for several transcripts that accumulate systemically in response to mechanical wounding in a hybrid poplar have been cloned. The corresponding mRNAs become abundant in the unwounded upper leaves of poplar trees whose lower leaves have been damaged. Two of the cDNA clones have been characterized by Northern and Southern blotting, and their nucleotide sequences have been determined. These clones, designated win6 (wound-inducible) and win8, are members of multigene families encoding proteins with a high degree of similarity to chitinases from bean, tobacco, and barley. This initial demonstration of a systemic response to wounding in trees provides an approach to study defense mechanisms in woody plants at the biochemical, physiological, and ecological levels.