Automated Author ProfileChassany, Vincent
Université Paris-Est Créteil
Chassany, Vincent
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Species delimitation and identification can be arduous for taxa whose morphologic characters are easily confused, which can hamper global biodiversity assessments and pest species management. Exploratory methods of species delimitation that use DNA sequence as their primary information source to establish group membership and estimate putative species boundaries are useful approaches, complementary to traditional taxonomy. Termites of the genus Nasutitermes make interesting models for the application of such methods. They are dominant in Neotropical primary forests but also represent major agricultural and structural pests. Despite the prevalence, pivotal ecological role and economical impact of this group, the taxonomy of Nasutitermes species mainly depends on unreliable characters of soldier external morphology. Here, we generated robust species hypotheses for 79 Nasutitermes colonies sampled throughout French Guiana without any a priori knowledge of species affiliation. Sequence analysis of the mitochondrial cytochrome oxidase II gene was coupled with exploratory species-delimitation tools, using the automatic barcode gap discovery method (ABGD) and a generalized mixed Yule-coalescent model (GMYC) to propose primary species hypotheses (PSHs). PSHs were revaluated using phylogenetic analyses of two more loci (mitochondrial 16S rDNA and nuclear internal transcribed spacer 2) leading to 16 retained secondary species hypotheses (RSSH). Seven RSSHs, represented by 44/79 of the sampled colonies, were morphologically affiliated to species recognized as pests in the Neotropics, where they represent a real invasive pest potential in the context of growing ecosystem anthropization. Multigenic phylogenies based on combined alignments (1426–1784 bp) were also reconstructed to identify ancestral ecological niches and major-pest lineages, revealing that Guyanese pest species do not form monophyletic groups.
Authors
- Roy, Virginie ;
- Constantino, Reginaldo ;
- Chassany, Vincent ;
- Giusti-Miller, Stephanie ;
- Diouf, Michel ;
- Mora, Philippe ;
- Harry, Myriam