Evidence map›Paper›PMID 29506476›Full record

ArticleBMC genomics2018

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

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 read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Frontiers in immunology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jack C H IpHKBU Institute of Research and Continuing Education, Shenzhen, China.
Huawei MuHKBU Institute of Research and Continuing Education, Shenzhen, China.
Qian ChenDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, China.
Jin SunDivision of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
Santiago ItuarteInstituto de Investigaciones Bioquímicas de La Plata (INIBIOLP), Universidad Nacional de La Plata (UNLP)-CONICET CCT-La Plata, La Plata, Argentina.
Horacio HerasInstituto de Investigaciones Bioquímicas de La Plata (INIBIOLP), Universidad Nacional de La Plata (UNLP)-CONICET CCT-La Plata, La Plata, Argentina.
Bert Van BocxlaerCentre national de la recherche scientifique (CNRS), Université de Lille, UMR 8198 - Evo-Eco-Paléo, 59000, Lille, France.
Monthon GanmaneeDepartment of Animal Production Technology and Fisheries, Faculty of Agricultural Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand.
Xin HuangDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, China. xinhuang@comp.hkbu.edu.hk.
Jian-Wen QiuHKBU Institute of Research and Continuing Education, Shenzhen, China. qiujw@hkbu.edu.hk.ORCID 0000-0002-1541-9627

Funding

Agencia Nacional de Promoción Científica y Tecnológica 0850 and 0122General Research Fund of Hong Kong HKBU 12301415Shenzhen Science and Technology Innovation Committee JCYJ20170307161326613
6 · The paper itself

Abstract

backgroundGastropoda, 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.

resultsUsing 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.

conclusionsIn 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.

Indexed as

Databases, GeneticTranscriptomeAnimalsGene Expression ProfilingGene OntologyGenomicsHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationSnails(3 to 10) biological invasionAsoleneCaenogastropodaGenomic databaseLanistesMarisaPilaPomaceaRNA-Seq

Identifiers

PMID29506476
PMCPMC5839033

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.