Identification of MicroRNAs in Meloidogyne incognita Using Deep Sequencing

利用深度测序技术鉴定南方根结线虫中的microRNA

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Abstract

MicroRNAs play important regulatory roles in eukaryotic lineages. In this paper, we employed deep sequencing technology to sequence and identify microRNAs in M. incognita genome, which is one of the important plant parasitic nematodes. We identified 102 M. incognita microRNA genes, which can be grouped into 71 nonredundant miRNAs based on mature sequences. Among the 71 miRANs, 27 are known miRNAs and 44 are novel miRNAs. We identified seven miRNA clusters in M. incognita genome. Four of the seven clusters, miR-100/let-7, miR-71-1/miR-2a-1, miR-71-2/miR-2a-2 and miR-279/miR-2b are conserved in other species. We validated the expressions of 5 M. incognita microRNAs, including 3 known microRNAs (miR-71, miR-100b and let-7) and 2 novel microRNAs (NOVEL-1 and NOVEL-2), using RT-PCR. We can detect all 5 microRNAs. The expression levels of four microRNAs obtained using RT-PCR were consistent with those obtained by high-throughput sequencing except for those of let-7. We also examined how M. incognita miRNAs are conserved in four other nematodes species: C. elegans, A. suum, B. malayi and P. pacificus. We found that four microRNAs, miR-100, miR-92, miR-279 and miR-137, exist only in genomes of parasitic nematodes, but do not exist in the genomes of the free living nematode C. elegans. Our research created a unique resource for the research of plant parasitic nematodes. The candidate microRNAs could help elucidate the genomic structure, gene regulation, evolutionary processes, and developmental features of plant parasitic nematodes and nematode-plant interaction.

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