Integrated Expression of the Oenococcus oeni mleA Gene in Saccharomyces cerevisiae

Malolactic enzyme is the function enzyme which catalyses the reaction for L-malate converting to L-lactic during malolactic fermentation （MLF）. In this paper, researches concerning the malolactic enzyme gene mleA cloned from a patent strain Oenococcus oeni SD-2a screened in Chinese wine and integrated expressing in Saccharomyces cerevisiae were performed in order to carry out both alcoholic fermentation （AF） and malolactic fermentation （MLF） during winemaking, with a view to achieving a better control of MLF in enology. To construct the expression plasmid named pYILmleA, cloned mleA gene, PGK1 promoter, and ADH1 terminator were ligated and inserted into integrating vector YIp5. Yeast transformants were screened on SD/-Ura and identified by auxotrophic test, mating type test, and colony PCR. Target protein was detected by SDS-PAGE and the targeted gene integrated to the chromosome was detected by dot bloting hybridization. After the transformant was cultured in SD/-Ura adding glucose （10%） and L-malate （5 648 mg L-1） for 4 d, the culture supernatant was collected and L-malate and L-lactic acid contents were detected by HPLC. 1 278-1 312 mg L-1 L-lactic acids were detected, while the comparative drop rates of L-malate were 20.18-20.85%. L-malate and L-lactic contents of the transformants showed extra significant difference and significant difference with the control ones by t-test respectively. The result indicated that the functional expression was achieved in recombinants S. cerevisiae.

Matching suitable feature construction for SAR images based on evolutionary synthesis strategy

In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.