Automated Author ProfileAfkhami, Michelle E.
University of Miami, Department of Biology
Afkhami, Michelle E.
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: 2.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Project folder for publication "Bifurcating trajectories: multidimensional specialization vs multidimensional generalization" containing: 1) job scripts and raw data to replicate analyses, 2) intermediate and final files output by scripts, and 3) HTML outputs of RMarkdown files containing results from statistical analyses. Descriptions of files, scripts, and folders in README file. Manuscript Abstract: Habitat specialization underpins biological processes from species distributions to speciation. However, organisms are often described as specialists or generalists based on a single niche axis, despite facing complex, multidimensional environments. Here, we analyzed 236 prokaryotic communities across the United States demonstrating for the first time that 96% of >1,200 prokaryotes followed one of two trajectories: specialization on all niche axes (multidimensional specialization) or generalization on all axes (multidimensional generalization). We then documented that this pervasive multidimensional specialization/generalization had a wide range of ecological and evolutionary consequences, including impacts on (1) species dominance with multidimensional generalists 108-times more abundant than specialists, (2) evolutionary trajectories with generalist-to-specialist transitions occurring ~20% less than expected, and (3) community structure with multidimensional specialists ~45% more connected within microbiome networks. These results indicate that multidimensional generalization supports larger populations and is more evolutionarily stable while multidimensional specialists, which are less common, still play important roles within communities, likely stemming from their overrepresentation among pollutant detoxifiers and nutrient cyclers. Taken together, we demonstrate that virtually all soil prokaryotes are restricted to one of two multidimensional niche trajectories, multidimensional specialization or multidimensional generalization, which then has far-reaching consequences for microbial dominance, evolutionary transitions, and community roles.
Authors
- Hernandez, Damian J. ;
- Kiesewetter, Kasey N. ;
- Almeida, Brianna K. ;
- Revillini, Daniel P. ;
- Afkhami, Michelle E.
Project folder for publication "Bifurcating trajectories: multidimensional specialization vs multidimensional generalization" containing: 1) job scripts and raw data to replicate analyses, 2) intermediate and final files output by scripts, and 3) HTML outputs of RMarkdown files containing results from statistical analyses. Descriptions of files, scripts, and folders in README file. Manuscript Abstract: Habitat specialization underpins biological processes from species distributions to speciation. However, organisms are often described as specialists or generalists based on a single niche axis, despite facing complex, multidimensional environments. Here, we analyzed 236 prokaryotic communities across the United States demonstrating for the first time that 96% of >1,200 prokaryotes followed one of two trajectories: specialization on all niche axes (multidimensional specialization) or generalization on all axes (multidimensional generalization). We then documented that this pervasive multidimensional specialization/generalization had a wide range of ecological and evolutionary consequences, including impacts on (1) species dominance with multidimensional generalists 108-times more abundant than specialists, (2) evolutionary trajectories with generalist-to-specialist transitions occurring ~20% less than expected, and (3) community structure with multidimensional specialists ~45% more connected within microbiome networks. These results indicate that multidimensional generalization supports larger populations and is more evolutionarily stable while multidimensional specialists, which are less common, still play important roles within communities, likely stemming from their overrepresentation among pollutant detoxifiers and nutrient cyclers. Taken together, we demonstrate that virtually all soil prokaryotes are restricted to one of two multidimensional niche trajectories, multidimensional specialization or multidimensional generalization, which then has far-reaching consequences for microbial dominance, evolutionary transitions, and community roles.
Authors
- Hernandez, Damian J. ;
- Kiesewetter, Kasey N. ;
- Almeida, Brianna K. ;
- Revillini, Daniel P. ;
- Afkhami, Michelle E.