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Transcriptome analysis between invasive Pomacea canaliculata and indigenous Cipangopaludina cahayensis reveals genomic divergence and diagnostic microsatellite/SSR markers

Overview of attention for article published in BMC Genomic Data, February 2015
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Title
Transcriptome analysis between invasive Pomacea canaliculata and indigenous Cipangopaludina cahayensis reveals genomic divergence and diagnostic microsatellite/SSR markers
Published in
BMC Genomic Data, February 2015
DOI 10.1186/s12863-015-0175-2
Pubmed ID
Authors

Xidong Mu, Guangyuan Hou, Hongmei Song, Peng Xu, Du Luo, Dangen Gu, Meng Xu, Jianren Luo, Jiaen Zhang, Yinchan Hu

Abstract

Pomacea canaliculata is an important invasive species worldwide. However, little is known about the molecular mechanisms behind species displacement, adaptational abilities, and pesticide resistance, partly because of the lack of genomic information that is available for this species. Here, the transcriptome sequences for the invasive golden apple snail P. canaliculata and the native mudsnail Cipangopaludina cahayensis were obtained by next-generation-sequencing and used to compare genomic divergence and identify molecular markers. More than 46 million high quality sequencing reads were generated from P. canaliculata and C. cahayensis using Illumina paired-end sequencing technology. Our analysis indicated that 11,312 unigenes from P. canaliculata and C. cahayensis showed significant similarities to known proteins families, among which a total of 4,320 specific protein families were identified. KEGG pathway enrichment was analyzed for the unique unigenes with 17 pathways (p-value < 10(-5)) in P. canaliculata relating predominantly to lysosomes and vitamin digestion and absorption, and with 12 identified in C. cahayensis, including cancer and toxoplasmosis pathways, respectively. Our analysis also indicated that the comparatively high number of P450 genes in the P. canaliculata transcriptome may be associated with the pesticide resistance in this species. Additionally, 16,717 simple sequence repeats derived from expressed sequence tags (EST-SSRs) were identified from the 14,722 unigenes in P. canaliculata and 100 of them were examined by PCR, revealing a species-specific molecular marker that could distinguish between the morphologically similar P. canaliculata and C. cahayensis snails. Here, we present the genomic resources of P. canaliculata and C. cahayensis. Differentially expressed genes in the transcriptome of P. canaliculata compared with C. cahayensis corresponded to critical metabolic pathways, and genes specifically related to environmental stress response were detected. The CYP4 family of P450 cytochromes that may be important factors in pesticide metabolism in P. canaliculata was identified. Overall, these findings will provide valuable genetic data for the further characterization of the molecular mechanisms that support the invasive and adaptive abilities of P. canaliculata.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 9%
Researcher 3 9%
Student > Master 3 9%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 9 26%
Unknown 12 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 43%
Biochemistry, Genetics and Molecular Biology 4 11%
Environmental Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 12 34%
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 13 November 2015.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#259,001
of 367,186 outputs
Outputs of similar age from BMC Genomic Data
#18
of 27 outputs
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So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.