Abstract
一、The conservation and application of the genomics and production of secondary products in forestry (4/4) 1.We have obtained hairy root lines of Taxus sumatrana, Nothopodytes nimmoniana, Camptotheca acuminata , and Cephalotaxus wilsoniana which transformed with rol gene. These root lines grew rapidly and produced stably secondary metabolites greater and more easily to preserve than that from cell cultures. The limitation is that they are difficult to scale up in batch cultures. This study is trying to improve culture techniques including to enhance transformation rates of hairy roots, to increase biomass coupling with high concentration of secondary metabolites, to design suitable bioreactors to grow root cultures, and to establish a cooperative platform among research, application, and biotech companies. 2.For developing the forestry genomic research, the nucleotide sequencing plays the important role. In this project, the specific tree species' genome and transcriptome will be sequencing by using next generation sequencing. The sequencing data will provide useful information for developing molecular marker and improve the studies of the population genetics, molecular breeding and species identification.3.The preservation and utilization of superior germplasm from in vitro cuLtures (2/4)
In vitro cultures including plantlets, shoot tips, cells, transgenic cells, Androdium cinnamomea strains with special characters will be collected preserved in long term period. All cultures will be tested in viability and productivity of secondary metabolites. We will establish the best condition combing with suitable medium, methods, and temperature to preserve cultures to preserve in long term period. 4.Preservation of fungi native in Taiwan (2/4)
There have 10 special fungi spp. will be studied. Native truffle will be focused in 2019. Kinds of traditional preservations will be tried and estimated.二、Study on the afforestation techniques of economic plantation tree plantation in Taiwan plantation (1/1)
In some developed countries, the forest plantations were primarily consisted of few species; such as radiata pine is by far New Zealand's most widely grown species, accounting for nearly 90% of the total planted area. However, in Taiwan, the majority of planted forest comprised over 10 species. Therefore, the project is dedicated to doing a research of breeding program of Cunninghamia konishii, Calocedrus formosana, Acacia confusa and Zelkova serrata. At first, we will select plus trees from the results of half-sib progeny tests in forestry as well as propagate them using grafting and air-layering. Then, 5 hectares seed orchards of C. konishii, C. formosana, A. confusa and Z. serrata. will be established. Morever, pollen collection and storage as well as supplemental mass pollination of C. konishii, C. formosana, A. confusa and Z. serrata will be further carried out. Besides, a supply of good seed is very important in the development of forest plantations; thus, we expect to replant about 600 hectares every year.To sum up, the aim of this research is to increase biomass production through breeding in C. konishii, C. formosana, A. confusa and Z. serrata. In this study, all the sequencing data could be used to develop useful molecular markers such as simple sequence repeats (SSRs), Single Nucleotide Polymorphism (SNPs) and InDel markers. The NGS will be used for above species, and obtain complete chloroplast genomes and developing informative molecular markers. All the molecular markers will provide for further population genetics, marker assistant breeding researches in the future. The micro-propagation system for the selected elite trees of cultivated tree species in plantation will be established to achieve the goal of preserving advantaged germ plasm and producing excellent seedlings. In order to investigate the soil nutrient status and adsorption characteristics of C. konishii, C. formosana, A. confusa and Z. serrata seed orchard, the characters of soil nutrient adsorption were observed and the nutrient limit factors were discovered by the system diagnosis method of soil nutrient status. By using these data, we can optimize the amount of fertilizer applied.