Next-Generation Sequencing Reveals that Oxidative Phosphorylation Might Be a Key Pathway Differently Expressed in the Third and Fourth Stages Larvae of Angiostrongylus cantonensis

Background: When Angiostrongylus cantonensis develops from the third and fourth stage, it needs to change its host from the middle host, snail to the final host, rat. However, the mechanism involved in this change remains unclear.

Methods: The transcriptome differences of the third and fourth stages of A. cantonensis were explored by next-generation Illumina Hiseq/Miseq sequencing in China, in 2018.

Results: Overall, 137 956 488 clean reads and 20 406 213 373 clean bases of the two stages larvae were produced. Based on the queries against the Gene Ontology (GO), NCBI non-redundant protein sequences (Nr), Swissprot, and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, 14 204 differentially expressed genes (DEGs) were predicted. GO enrichment analysis revealed 5660 DEGs with the top s categories as followings: biological process (GO:0008150, related to 5345 DEGs), cellular component (GO:0005575, related to 5297 DEGs), molecular function (GO:0003674, related to 5290 DEGs). In KEGG enrichment analysis, 116 genes were related to oxidative phosphorylation and 49 genes involved in the glycolytic process.

Conclusion: Metabolism changes, especially oxidative phosphorylation and glycolysis, might play a key role in A. cantonensis infection of its final rat host. Many other pathways might also contribute to the transcriptome changes between these two life stages. Overall, additional studies are needed for further details.

1. HT C. A preliminary report on a survey of animal parasites of Canton, China. Lingnan Sci J. 1933;12:65-74.
2. Morassutti AL, Perelygin A, De Carvalho MO, et al. High throughput sequencing of the Angiostrongylus cantonensis genome: a parasite spreading worldwide. Parasitology. 2013;140(10):1304-1309.
3. Barratt J, Chan D, Sandaradura I, et al. Angiostrongylus cantonensis: a review of its distribution, molecular biology and clinical significance as a human pathogen. Parasitology. 2016;143(9):1087-1118.
4. Jarvi SI, Quarta S, Jacquier S, et al. High prevalence of Angiostrongylus cantonensis (rat lungworm) on Eastern Hawai island: A closer look at life cycle traits and patterns of infection in wild rats (Rattus spp.). PLoS One. 2017;12(12):e0189458.
5. Wain J, Mavrogiorgou E. Next-generation sequencing in clinical microbiology. Expert Rev Mol Diagn. 2013;13(3):225-7.
6. Metzker ML. Sequencing technologies - the next generation. Nat Rev Genet. 2010;11(1):31-46.
7. Jex AR, Littlewood DT, Gasser RB. Toward next-generation sequencing of mitochondrial genomes--focus on parasitic worms of animals and biotechnological implications. Biotechnol Adv. 2010;28(1):151-159.
8. Cock PJ, Fields CJ, Goto N, et al. The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants. Nucleic Acids Res. 2010;38(6):1767-1771.
9. Erlich Y, Mitra PP, McCombie WR, et al. Alta-Cyclic: a self-optimizing base caller for next-generation sequencing. Nat Methods. 2008;5(8):679-82.
10. Grabherr MG, Haas BJ, Yassour M, et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011;29(7):644-52.
11. Li B, Dewey CN. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics. 2011;12:323.
12. Kanehisa M, Araki M, Goto S, et al. KEGG for linking genomes to life and the environment. Nucleic Acids Res. 2008;36(Database issue):D480-4.
13. Takamiya S, Hashimoto M, Mita T, et al. Bioinformatic identification of cytochrome b5 homologues from the parasitic nematode Ascaris suum and the free-living nematode Caenorhabditis elegans highlights the crucial role of A. suum adult-specific secretory cytochrome b₅ in parasitic adaptation. Parasitol Int. 2016;65(2):113-120.
14. Salinas G, Otero L, Martinez-Rosales C, et al. Complex I and II Subunit Gene Duplications Provide Increased Fitness to Worms. Front Genet. 2019;10:1043.
15. Solaini G, Sgarbi G, Baracca A. Oxidative phosphorylation in cancer cells. Biochim Biophys Acta. 2011;1807(6):534-542.
16. Weber GF. Metabolism in cancer metastasis. Int J Cancer. 2016;138:2061-2066.
17. Giampazolias E, Tait SW. Mitochondria and the hallmarks of cancer. FEBS J. 2016;283(5):803-814.
18. Liu J, Li G, Chang Z, et al. BinPacker: Packing-Based De Novo Transcriptome Assembly from RNA-seq Data. PLoS Comput Biol. 2016;12(2):e1004772.
19. Moreton J, Izquierdo A, Emes RD. Assembly, Assessment, and Availability of De novo Generated Eukaryotic Transcriptomes . Front Genet. 2016;6:361.
20. Fukushima A, Nakamura M, Suzuki H, et al. High-Throughput Sequencing and De Novo Assembly of Red and Green Forms of the Perilla frutescens var. crispa Transcriptome. PLoS One. 2015;10(6):e0129154.

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Issue	Vol 15 No 4 (2020)
Section	Original Article(s)
DOI	https://doi.org/10.18502/ijpa.v15i4.4869
Keywords
A. cantonensis Transcriptional sequenc-ing Third stage larvae Fourth stage larvae Next-generation se-quencing

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GUO Y, ZHOU HC, DONG Y, DONG HY, YAO YL, QIAN J, ZHANG H, LI XY, ZHANG ZS, LIN HB, ZHOU T, ZHAO MJ, JI TQ, WANG RZ, ZHANG FP. Next-Generation Sequencing Reveals that Oxidative Phosphorylation Might Be a Key Pathway Differently Expressed in the Third and Fourth Stages Larvae of Angiostrongylus cantonensis. Iran J Parasitol. 2020;15(4):587-595.

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