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AmpuBase: a transcriptome database for eight species of apple snails (Gastropoda: Ampullariidae)

Overview of attention for article published in BMC Genomics, March 2018
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Title
AmpuBase: a transcriptome database for eight species of apple snails (Gastropoda: Ampullariidae)
Published in
BMC Genomics, March 2018
DOI 10.1186/s12864-018-4553-9
Pubmed ID
Authors

Jack C. H. Ip, Huawei Mu, Qian Chen, Jin Sun, Santiago Ituarte, Horacio Heras, Bert Van Bocxlaer, Monthon Ganmanee, Xin Huang, Jian-Wen Qiu

Abstract

Gastropoda, with approximately 80,000 living species, is the largest class of Mollusca. Among gastropods, apple snails (family Ampullariidae) are globally distributed in tropical and subtropical freshwater ecosystems and many species are ecologically and economically important. Ampullariids exhibit various morphological and physiological adaptations to their respective habitats, which make them ideal candidates for studying adaptation, population divergence, speciation, and larger-scale patterns of diversity, including the biogeography of native and invasive populations. The limited availability of genomic data, however, hinders in-depth ecological and evolutionary studies of these non-model organisms. Using Illumina Hiseq platforms, we sequenced 1220 million reads for seven species of apple snails. Together with the previously published RNA-Seq data of two apple snails, we conducted de novo transcriptome assembly of eight species that belong to five genera of Ampullariidae, two of which represent Old World lineages and the other three New World lineages. There were 20,730 to 35,828 unigenes with predicted open reading frames for the eight species, with N50 (shortest sequence length at 50% of the unigenes) ranging from 1320 to 1803 bp. 69.7% to 80.2% of these unigenes were functionally annotated by searching against NCBI's non-redundant, Gene Ontology database and the Kyoto Encyclopaedia of Genes and Genomes. With these data we developed AmpuBase, a relational database that features online BLAST functionality for DNA/protein sequences, keyword searching for unigenes/functional terms, and download functions for sequences and whole transcriptomes. In summary, we have generated comprehensive transcriptome data for multiple ampullariid genera and species, and created a publicly accessible database with a user-friendly interface to facilitate future basic and applied studies on ampullariids, and comparative molecular studies with other invertebrates.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Bachelor 7 13%
Researcher 6 11%
Student > Ph. D. Student 4 8%
Professor 2 4%
Other 7 13%
Unknown 19 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 19%
Biochemistry, Genetics and Molecular Biology 9 17%
Nursing and Health Professions 2 4%
Environmental Science 2 4%
Immunology and Microbiology 2 4%
Other 6 11%
Unknown 22 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2018.
All research outputs
#18,420,968
of 23,653,937 outputs
Outputs from BMC Genomics
#7,768
of 10,778 outputs
Outputs of similar age
#243,451
of 333,103 outputs
Outputs of similar age from BMC Genomics
#137
of 188 outputs
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