Automated Author ProfileUniversity Of Southern California, Wrigley Institute Of Environmental Studies
University Of Southern California, Wrigley Institute Of Environmental Studies
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Microorganism attachment to any newly submerged surface lays the foundation for all forthcoming waves of colonization. The initial recruitment of bacteria and archaea may help guide successive settlement events through subtle assemblage variances. The detection of these changes in microbial consortia from early to mature stages in marine biofilm growth can be achieved through the use of various DNA fingerprinting tools, namely TRFLP (termination restriction fragment length polymorphism) for archaea and ARISA (automated ribosomal intergenic spacer analysis) for bacteria. These techniques allow relatively rapid snapshot assessment of diversity with reasonable resolution, at least to the genus level. Rock and synthetic slides were suspended on an array just above the sediment surface, with an identical array mirrored ten meters above in the water column. For a comparative approach, water and sediment cores were also collected. DNA from slides at various time points, from a few days to several months out, was extracted and fingerprinted to determine microbial diversity. Our results show differences in assemblages from all four environmental compartments, with operational taxonomic units (OTU) unique and common to each. Temporal differences were also observed. Shared OTUs, across the four environments showed significant variation in peak intensities, whereas replicates within compartments showed a relatively high degree of similarity. These results in conjunction with our present cloning effort will enable identification of the dominant and many of the less dominant species at various stages of marine biofilm development.
Authors
- University Of Southern California, Wrigley Institute Of Environmental Studies ;
- Patel, Anand