Observed and modelled snow and ice thickness in the Arctic Ocean with CHINARE buoy data

Sea ice and the snow pack on top of it were investigated using Chinese National Arctic Research Expedition （CHINARE） buoy data. Two polar hydrometeorological drifters, known as Zeno ice stations, were deployed during CHINARE 2003. A new type of high-resolution Snow and Ice Mass Balance Arrays, known as SIMBA buoys, were deployed during CHINARE 2014. Data from those buoys were applied to investigate the thickness of sea ice and snow in the CHINARE domain. A simple approach was applied to estimate the average snow thickness on the basis of Zeno temperature data. Snow and ice thicknesses were also derived from vertical temperature profile data based on the SIMBA buoys. A one-dimensional snow and ice thermodynamic model （HIGHTSI） was applied to calculate the snow and ice thickness along the buoy drift trajectories. The model forcing was based on forecasts and analyses of the European Centre for Medium-Range Weather Forecasts （ECMWF）. The Zeno buoys drifted in a confined area during 2003-2004. The snow thickness modelled applying HIGHTSI was consistent with results based on Zeno buoy data. The SIMBA buoys drifted from 81. 1°N, 157.4°W to 73.5°N, 134.9°W in 15 months during 2014-2015. The total ice thickness increased from an initial August 2014 value of 1.97 m to a maximum value of 2.45 in before the onset of snow melt in May 2015; the last observation was approximately 1 m in late November 2015. The ice thickness based on HIGHTSI agreed with SIMBA measurements, in particular when the seasonal variation of oceanic heat flux was taken into account, but the modelled snow thickness differed from the observed one. Sea ice thickness derived from SIMBA data was reasonably good in cold conditions, but challenges remain in both snow and ice thickness in summer.

Digging out molecular markers associated with low salinity tolerance of Nannochloropsis oceanica through bulked mutant analysis

Nannochloropsis oceanica is a marine microalgal species with both economic value and biological importance.It grows fast,contains rich oils,reproduces asexually,holds a small and haploidy genome,and is easy to be modified genetically.However,the genetic study of N.oceanica is scarce.Very less genetic bases of its traits have been deciphered,and no gene has been isolated from it with the function verified simultaneously via either genetic or reverse genetic approaches or both(de novo cloned).Changing medium salinity may aid to control harmful organisms met during large scale cultivation.As a stress,it may also facilitate the accumulation of desirable chemicals including fatty acids.In order to decipher the genetic basis of the low salinity tolerance of N.oceanica,we mutated N.oceanica with Zeocin.In total,five mutant bulks were constructed at equal number of cells,100 mutants each,which were tolerant to a discontinuous serial of salinities from that of 100%of f/2 to that of a mixture of 4%of f/2 and 94%of BG11.The bulks were genotyped through whole genome re-sequencing and analyzed with bulked mutant analysis(BMA)newly modified from bulked segregant analysis(BSA).In total,47 SNPs and 112 InDels were found to associate with the low salinity tolerance,and around them a set of low salinity tolerance associating genes were identified.A set of annotatable genes commonly found between control and different salinities indicated that the genes functioning in gene expression,energy metabolism and cellular structure may be involved in the low salinity tolerance.These associating molecular markers and genes around them were not enough for outlining the physiological mechanism underlining the tolerance;however they should aid to improve N.oceanica genetically.

An investigation of the possible methods and potential benefits of de novo cloning of Nannochloropsis oceanica genes

Species in the microalgal genus Nannochloropsis are increasingly used as models for theoretical and applied studies. Herewe attempt to generate InDei variations in the genome of Nannochloropsis oceanica, and then decipher the genetic basisof its economic and biological traits with bulked mutant analysis modified from bulked segregant analysis. In addition, wedescribe our efforts to construct site-tagged and gene-traceable mutant libraries to clone its genes through reverse geneticapproaches. Currently, more than a half of N. oceanica protein-encoding genes are annotated against databanks. However, nofunctional gene has been de novo cloned from N. oceanica and no new function has been assigned to any of its annotatablegenes. Here, we discuss the possible methods and potential benefits of de novo cloning of N. oceanica genes.