Distribution of heterotrophic bacterioplankton in the Indian sector of Southern Ocean

Study was carried out on the distribution of bacterioplankton in the Indian sector of Southern Ocean. Total Heterotrophic Bacterial (THB) counts were maximum (107x104/CFU/ml) in water samples collected from 200 m depth and lowest (15.1x103/CFU/ml) at 3730 m. Of the 250 strains isolated from the water samples, 9.2% were gram positive and 4.8% gram negative. The important genera encountered were Pseudomonas, Aeromonas, Vibrio, Acinetobacter, Micrococcus, Staphylococcus, Corynebacterium, Flavobacterium, Chromobacterium, Moraxella, Bacillus and Planococcus. Most of the isolates (94%) were capable of lipase production followed by gelatinase (40%) and amylase (32%)

Dynamics of Vibrio cholerae in a Typical Tropical Lake and Estuarine System: Potential of Remote Sensing for Risk Mapping

Vibrio cholerae, the bacterium responsible for the disease cholera, is a naturally-occurring bacterium, commonly found in many natural tropical water bodies. In the context of the U.N. Sustainable Development Goals (SDG) targets on health (Goal 3), water quality (Goal 6), life under water (Goal 14), and clean water and sanitation (Goal 6), which aim to “ensure availability and sustainable management of water and sanitation for all”, we investigated the environmental reservoirs of V. cholerae in Vembanad Lake, the largest lake in Kerala (India), where cholera is endemic. The response of environmental reservoirs of V. cholerae to variability in essential climate variables may play a pivotal role in determining the quality of natural water resources, and whether they might be safe for human consumption or not. The hydrodynamics of Vembanad Lake, and the man-made barrier that divides the lake, resulted in spatial and temporal variability in salinity (1–32 psu) and temperature (23 to 36 °C). The higher ends of this salinity and temperature ranges fall outside the preferred growth conditions for V. cholerae reported in the literature. The bacteria were associated with filtered water as well as with phyto- and zooplankton in the lake. Their association with benthic organisms and sediments was poor to nil. The prevalence of high laminarinase and chitinase enzyme expression (more than 50 µgmL−1 min−1) among V. cholerae could underlie their high association with phyto- and zooplankton. Furthermore, the diversity in the phytoplankton community in the lake, with dominance of genera such as Skeletonema sp., Microcystis sp., Aulacoseira sp., and Anabaena sp., which changed with location and season, and associated changes in the zooplankton community, could also have affected the dynamics of the bacteria in the lake. The probability of presence or absence of V. cholerae could be expressed as a function of chlorophyll concentration in the water, which suggests that risk maps for the entire lake can be generated using satellite-derived chlorophyll data. In situ observations and satellite-based extrapolations suggest that the risks from environmental V. cholerae in the lake can be quite high (with probability in the range of 0.5 to 1) everywhere in the lake, but higher values are encountered more frequently in the southern part of the lake. Remote sensing has an important role to play in meeting SDG goals related to health, water quality and life under water, as demonstrated in this example related to cholera

Macrobenthosof the cotinental margin(200-1000 m) of South Eastern Arabian Sea with special reference to Polychaetes

This thesis Entitled macrobenthos of the continental margin (200-1000m) of south eastern arabian sea with special reference to polychaetes. The continental margins are geologically complex and hydrodynamically active regions of the ocean, where vital biogeochemical processes take place from a global perspective. The Eastern Arabian Sea is one of the most productive regions of the world, and as a result, vast amount of organic matter is supplied to the sub surface waters and sea bed of the Arabian Sea. In this study, data on faunal abundance, standing crop and faunal composition, together with sedimentary and environmental parameters were collected from three depths (200m, 500m & 1000m) in nine bathymetric transects along the South Eastern Arabian Sea (from Cape Comorin to Karwar) during three surveys. In the present study, five textural classes of sediments were identified from the SEAS margin, viz. sand, silty sand, sandy silt, clayey silt and admixture of sand, silt and clay. The composition of sand was higher in the southern region and decreased progressively towards the north. On the shelf edge and upper slope regions in the south (Cape to Kollam) in particular, sandy sediments dominated .Cochin University of Science & TechnologySchool of Marine Sciences, Department Marine biology,Microbiology and Biochemistr

Not Available

Not AvailableStudy was carried out on the distribution of bacterioplankton in the Indian sector of Southern Ocean. Total Heterotrophic Bacterial (THB) counts were maximum (107x104/CFU/ml) in water samples collected from 200 m depth and lowest (15.1x103/CFU/ml) at 3730 m. Of the 250 strains isolated from the water samples, 9.2% were gram positive and 4.8% gram negative. The important genera encountered were Pseudomonas, Aeromonas, Vibrio, Acinetobacter, Micrococcus, Staphylococcus, Corynebacterium, Flavobacterium, Chromobacterium, Moraxella, Bacillus and Planococcus. Most of the isolates (94%) were capable of lipase production followed by gelatinase (40%) and amylase (32%).Not Availabl

Benthic polychaetes off Edward VIII Plateau in the continental shelf of East Antarctica

921-925Samples of marine benthos were collected from three stations (200-300 m depth) off the Edward VIII Plateau (Enderby Land, East Antarctica) during the Third Indian Expedition to the Southern Ocean (2009). Dominant taxonomic groups collected were the polychaetes (165 individuals), nematodes (71) and crustaceans (83), along with echinoderms (19), bivalve molluscs (18), mast pycnogonids (4) and bryozoans. Among the polychaetes, 53 species could be identified. Syllids were represented by the most number of individuals (18.5%), followed by the paraonids (13.1%), spionids (12.5%) and cirratulids (11.9%). Most abundant species collected were Brania sp. (Syllidae) and Laonice weddellia (Spionidae). The polychaete species represented in the samples are listed

MOESM12 of Feature optimization in high dimensional chemical space: statistical and data mining solutions

Additional file 12. The active molecules from AID 2559 and 2561 were considered as the test set. These were high throughput screened confirmatory bioassay dataset. AID 2559 was consisting of 58 active and 67 inactive molecules whereas, AID 2561 was having 37 actives and 148 inactive molecules. The actives from both were combined to get the test set as ARFF file

MOESM6 of Feature optimization in high dimensional chemical space: statistical and data mining solutions

Additional file 6: Table S6. The screening results of the test set with PCAD against training set. The panel selection scores are also given at the rightmost column

MOESM2 of Feature optimization in high dimensional chemical space: statistical and data mining solutions

Additional file 2: Table S2. Structures of FDA approved drugs against Leishmania mexicana selected for the study

MOESM11 of Feature optimization in high dimensional chemical space: statistical and data mining solutions

Additional file 11. The 14 training sets used for study which is derived from AID 1721, a high throughput screened, confirmatory bioassay dataset on pyruvate kinase protein target of Leishmania mexicana. Training sets are given as ARFF file and have 179 molecular descriptors generated using PowerMV

MOESM5 of Feature optimization in high dimensional chemical space: statistical and data mining solutions

Additional file 5: Table S5. Statistical parameter values of models with PCAD and PowD for training sets 8 to 15