Marinobacter panjinensis sp. nov., a moderately halophilic bacterium isolated from sea tidal flat environment.

Two moderately halotolerant bacterium strains, designated PJ-16T and PJ-38, were isolated from a tidal flat of the red beach in Panjin City, Liaoning Province, PR China. Cells were found to be Gram-stain-negative, aerobic, motile, rod-shaped with a single polar flagellum. Optimum growth of strain PJ-16T occurred at 30 °C, pH 7.0 and 0.2-8.0  % (w/v) NaCl, and strain PJ-38 at 30 °C, pH 6.0-7.0 and 0.2-8.0  % (w/v) NaCl. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain PJ-16T was most closely related to Marinobacter denitrificans KCTC 62941T (99.2 % 16S rRNA gene sequence similarity), Marinobacter algicola DSM 16394T (98.6 %), Marinobacter salarius JCM 19399T (98.4 %) and Marinobacter confluentis KCTC 42705T (98.2 %), and strain PJ-38 was most closely related to M. denitrificans KCTC 62941T (99.1 %), M. algicola DSM 16394T (98.6 %), M. salarius JCM 19399T (98.4 %) and M. confluentis KCTC 42705T (98.1 %). The G+C content of the genomic DNA of strain PJ-16T based on its draft genomic sequence was 57.4 mol%. The major cellular fatty acids of strain PJ-16T were C16 : 0, C16 : 1 ω7c/C16 : 1 ω6c and C18 : 1 ω9c. The major respiratory quinone of PJ-16T was ubiquinone-9 and the major polar lipids were diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylglycerol. The results of the phenotypic, phylogenetic and genomic analyses revealed that strains PJ-16T and PJ-38 represent a novel species of the genus Marinobacter, and the name Marinobacter panjinensis sp. nov. is proposed. The type strain is PJ-16T (= CGMCC 1.13694T= KCTC 72023T).

[Research on Remote Sensing Inversion of Suaeda Salsa's Biomass Based on TSAVI for OLI Band Simulation].

Suaeda salsa(S.salsa) is a typical vegetation of coastal wetland in the north of Liaodong Bay. The S. salsa biomass assessment plays an important role in understanding the ecosystem productivity of coastal wetland and the formation of ecosystem structure and function. Usually the S.salsa coverage is inhomogeneous. The low S.salsa coverage can be found at a natural condition, the soil background has a strong influence on S.salsa spectral data. The Transformed Soil Adjusted Vegetation Index (TSAVI) used as independent variable was derived by the Landsat 8 OLI simulation data. The S.salsa biomass inversion models were built based on the regression analysis of TSAVI and ground measured biomass in this study. The correlation between TSAVI (600~687, 820~880 nm) and biomass was significant, the correlation coefficient was about 0.9, up to 0.92. The results of linear and quadratic models were better than those of logarithmic, exponential and power models, the determination coefficient r2 of linear and quadratic models were 0.83. Combined with F value and operation efficiency, the linear model was the best option for mature S.salsa biomass inversion. The linear model was applied to invert the S.salsa biomass by using the Landsat 8 OLI data in the study area and it was further validated using in-situ data. The correlation coefficient between the in-situ value and retrieved value was 0.962, the relative error was 0.106. For higher S.salsa coverage, the relative error was lower. The relative error of the low-cover S.salsa biomass inversion was around 0.18. The results showed that the established model has good accuracy for different coverage. In addition, with the introduction of ±5% error of soil line parameters a and b, the average relative errors were relatively stable, and the correlation coefficients were reduced, but all the correlative coefficients were above 0.9. The results showed that the established model is stable.