| 1 | Characterization of Bacterial Communities Associating with Larval Development of Yesso Scallop(Patinopecten yessoensisis Jay, 1857) by High-Throughput Sequencing显示文摘Bacterial community presumably plays an essential role in inhibiting pathogen colonization and maintaining the health of scallop larvae, but limiting data are available for Yesso scallop(Patinopecten yessoensisis Jay, 1857) larval development stages. The aim of this study was to characterize and compare the bacterial communities associating with Yesso scallop larval development at fertilized egg S1, trochophora S2, D-shaped larvae S3, umbo larvae S4, and juvenile scallop S5 stages by Illumina high-throughput sequencing. Genomic DNA was extracted from the larvae and their associating bactera, and a gene segment covering V3-V4 region of 16 S r RNA gene was amplified and sequenced using an Illumina Miseq sequencer. Overall, 106760 qualified sequences with an average length of 449 bp were obtained. Sequences were compared with those retrieved from 16 S r RNA gene databases, and 4 phyla, 7 classes, 15 orders, 21 families, 31 genera were identified. Proteobacteria was predominant phylum, accounting for more than 99%, at all 5 larval development stages. At genus level, Pseudomonas was dominant at stages S1(80.60%), S2(87.77%) and S5(68.71%), followed by Photobacterium(17.06%) and Aeromonas(1.64%) at stage S1, Serratia(6.94%), Stenotrophomonas(3.08%) and Acinetobacter(1.2%) at stage S2, Shewanella(25.95%) and Pseudoalteromonas(4.57%) at stage S5. Moreover, genus Pseudoalteromonas became dominant at stages S3(44.85%) and S4(56.02%), followed by Photobacterium(29.82%), Pseudomonas(11.86%), Aliivibrio(8.60%) and Shewanella(3.39%) at stage S3, Pseudomonas(18.16%), Aliivibrio(14.29%), Shewanella(4.11%), Psychromonas(4.04%) and Psychrobacter(1.81%) at stage S4. From the results, we concluded that the bacterial community changed significantly at different development stages of Yesso Scallop larvae. | SUN Xueying LIU Jichen LI Ming ZHAO Xuewei LIANG Jun SUN Pihai MA Yuexin | 2016 | Journal of Ocean University of China2016，15，6： | 3 |
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