| 基于第二代测序技术的条斑紫菜(Pyropia yezoensis)贝壳丝状体附生菌群研究 |
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| 引用本文： | 盖珊珊,张伟东.基于第二代测序技术的条斑紫菜(Pyropia yezoensis)贝壳丝状体附生菌群研究[J].海洋与湖沼,2016,47(5):990-996. |
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| 作者姓名： | 盖珊珊 张伟东 |
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| 作者单位： | 辽宁师范大学 生命科学学院 大连 116081,辽宁师范大学 生命科学学院 大连 116081 |
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| 基金项目： | 国家海洋局近岸海域生态环境重点实验室项目，201103号。 |
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| 摘 要： | 条斑紫菜(Pyropia yezoensis)贝壳丝状体黄斑病给育苗产业造成危害,但目前对健康状态下的菌群结构及其发病后变化仍缺乏认识。本研究基于第二代测序技术和16S r RNA序列分析,对健康和患病丝状体的细菌组成与变化进行比较。测序共产生1.6Gb配对末端序列,获得了第一个高通量的条斑紫菜贝壳丝状体细菌群落数据集。通过数据分析共识别出7,833种可操作分类单元(operational taxonomic units,OTUs),比对确定为18个细菌门。相对于健康样本,黄斑病丝状体样本的微生物多样性显著增加。主坐标分析和非加权组平均法(unweighted pair group method using arithmetic average,UPGMA)聚类均将健康和黄斑病丝状体分成不同的组,且健康组样本间的距离明显小于黄斑病组。上述结果说明,健康贝壳丝状体保持着相似的微生物群落结构,而患病后的丝状体则发生了不同的变化;健康样本和黄斑病样本组间差异显著的细菌属有39个,其中29个在健康样本中的相对丰度明显高于病患组样本。本研究从菌群生态角度分析了健康贝壳丝状体微生物菌群结构、发病后菌群的变化及其对丝状体生长的潜在作用,为丝状体病害的检测和预防提供有价值的信息。
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| 关 键 词： | 条斑紫菜 第二代测序 贝壳丝状体 黄斑病 16S rRNA 菌群 |
| 收稿时间： | 2016/3/29 0:00:00 |
| 修稿时间： | 2016/6/13 0:00:00 |
MICROBIOTA OF SHELL-BORING CONCHOCELIS OF PYROPIA YEZOENSIS DETERMINED BY THE NEXT-GENERATION SEQUENCING |
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| GAI Shan-Shan and ZHANG Wei-Dong.MICROBIOTA OF SHELL-BORING CONCHOCELIS OF PYROPIA YEZOENSIS DETERMINED BY THE NEXT-GENERATION SEQUENCING[J].Oceanologia Et Limnologia Sinica,2016,47(5):990-996. |
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| Authors: | GAI Shan-Shan and ZHANG Wei-Dong |
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| Institution: | School of Life Science, Liaoning Normal University, Dalian 116081, China and School of Life Science, Liaoning Normal University, Dalian 116081, China |
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| Abstract: | Yellow-spot disease of shell-boring conchocelis of Pyropia yezoensis causes large economic losses to aquaculture industry. To understand the microbiota of conchocelis, we compared bacterial composition and variation between healthy and diseased conchocelis using the next-generation sequencing and 16S rRNA gene sequences. A total of 1.6 Gb paired-end reads were generated, which is the first high-throughput dataset of microbial communities of shell-boring conchocelis. Totally, 7 833 unique OTUs and 18 bacterial phyla were identified. Compared with healthy samples, the microbial diversities of diseased samples increased more significantly. Both PCoA and UPGMA tree divided these samples into two distinct (health and disease) groups. Distance within health group was remarkably smaller than that within disease group. Significant difference in 39 genera was shown between the two groups, of which 29 were more abundant in healthy samples. This study revealed the microbiota of shell-boring conchocelis at community level, and may provide valuable information to the detection and prevention of yellow-spot disease in Pyropia yezoensis culture. |
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| Keywords: | Pyropia yezoensis next-generation sequencing shell-boring conchocelis yellow-spot disease 16S rRNA microbiota |
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