Diversity, phylogeny, and DNA barcoding of brachyuran crabs in artificially created mangrove environments
Manikantan, G.; PrasannaKumar, C.; Vijaylaxmi, J.; Pugazhvendan, S. R.; Prasanthi, N.
Show abstract
Globally, at the rate of 1-2 percent per annum, mangrove coverings are disappearing and 35 percent have been lost in the last 20 years due to changes in climate and human activities. No mangrove-associated crabs were found when the mangroves were artificially transplanted 25 years ago in the Vellar estuary. This mangrove ecosystem was sampled for brachyuran biodiversity estimation, species abundance, composition and evaluation of the effectiveness of DNA barcoding in brachyuran crabs species identification. A total of 2844 crabs were collected, representing 35 species within 8 families belonging to 20 genera. Four brachyuran crab species, that is, Uca lactae, U. Triangularis, Selatium brockii, and Neosarmatium asiaticum account for >70% of the total abundance. An approximate 87.5% of crab species estimated to occur by various species estimator were recovered in the present study. Between Uca lactea and U. triangularis, the maximum association index value was observed (97.7%). Cluster analysis grouped the sampled stations according to the types of mangrove species, clearly influencing the structure and composition of the brachyuran crabs. In general, vegetative cover composed of multiple species of mangroves is preferred for the abundance of all collected crabs species, and particularly Neosarmatium asiaticum. Analysis of DNA barcoding indicates that 40% of the brachyuran species gathered in this sample were first barcoded. The advent of new high-throughput sequencing technologies will change biomonitoring applications and surveys drastically in the near future, making reference datasets like ours relevant.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Morphological and molecular evidence for range extension and first occurrence of the Japanese seahorse, Hippocampus mohnikei (Bleeker 1853) in a bay-estuarine system of Goa, central west coast of India 96%
- Hyperiid amphipods from the Gulf of Ulloa and offshore region, Baja California: Intermittent use of the coastal shelf 96%
- Genetic population subdivision of Blue Swimming Crab (Portunus pelagicus) across Indonesia inferred from mitochondrial DNA: implication to sustainable fishery 96%
Similar papers in this journal
- Stock identification of Mediterranean horse mackerel (Trachurus mediterraneus) through the analysis of morphometric characters in the Adriatic Sea. 94%
- Genetic analyses reveal population structure and recent decline in leopards (Panthera pardus fusca) across Indian subcontinent 92%
- Identifying Mangrove-Coral Habitats in the Florida Keys 92%
Similar papers in this journal
- Molecular identification of whole squids and calamari at fairs and markets in regions of Latin America 95%
- Fungal succession on the decomposition of three plant species from a Brazilian mangrove 94%
- Fish diversity in a doubly landlocked country - a description of the fish fauna of Uzbekistan using DNA barcoding 94%
Similar papers in this journal
- Space-time dynamics in monitoring neotropical fish communities using eDNA metabarcoding 94%
- Impact of Run-of-River Damming on Increasing Phytoplankton Biomass and Species Shift in a Large Amazonian River 93%
- QT-AMP: Quanti-Tray-based amplicon sequencing for simultaneous quantification and identification of enterococci for microbial source tracking 92%
Similar papers in this journal
- Charrs of the genus Salvelinus (Salmonidae): hybridization, phylogeny and evolution 93%
- Annual Cycle Dampening And The Decrease Predictability Of Water Level Fluctuations In A Dam-Regulated Neotropical Floodplain 92%
- Genetic Structuring and Conservation of Asian Sockeye Salmon: Identification of Regional Stock Complexes 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.