Metatranscriptomics analysis of cyanobacterial aggregates during cyanobacterial bloom period in Lake Taihu, China
Metatranscriptomics analysis of cyanobacterial aggregates during cyanobacterial bloom period in Lake Taihu, China
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太湖蓝藻水华期蓝藻聚集体的宏转录组学分析
DOI：
10.1007/s11356-017-0733-4
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发表时间：
2018-02
期刊：
影响因子：
--
通讯作者：
Junyi Zhang
中科院分区：
文献类型：
--
作者：
Junyi Zhang
蓝藻水华形成的分子机制尚未阐明，了解蓝藻水华形成的分子机制将有助于揭示蓝藻水华形成的分子机制。在这项研究中，我们通过高通量元转录组测序技术对中国太湖蓝藻水华期间蓝藻聚集体的代谢活性群落进行了分析。period.in利用HiSeq 2500测序平台共获得3.08亿条序列，为深入开展蓝藻聚集体的分类学、功能分类和代谢途径分析提供了较大的序列覆盖率。结果表明，蓝藻聚集体中细菌占优势，占总序列的96.66%以上。在蓝藻聚集体群落中，微囊藻是最丰富的属，占总序列的26.80%，而变形菌门（Proteobacteria）则是最丰富的活性菌群，占总序列的46.20%。更重要的是，本研究还发现了与富营养化有关的氮、磷、次磷酸盐代谢。特别是在太湖蓝藻水华期间，首次发现了与氮代谢的反硝化和厌氧氨氧化有关的酶和生物，它们通过还原硝酸盐来降低氮浓度，从而抑制富营养化。nitrogen.to本研究提供了太湖蓝藻聚集体的元转录组快照，表明蓝藻聚集体在富营养化水体中的氮循环中可能起着关键作用。
Molecular mechanism of interaction between the.bloom-forming cyanobacterial species and attached microbios.within cyanobacterial aggregates has not been elucidated yet.and understanding of which would help to unravel the.cyanobacteria bloom-forming mechanism. In this study, we.profiled the metabolically active community by highthroughput metatranscriptome sequencing from.cyanobacterial aggregates during cyanobacterial bloom period.in Lake Taihu, China. A total of 308 million sequences were.obtained using the HiSeq 2500 sequencing platform, which.provided a great sequence coverage to carry out the in-depth.taxonomic classification, functional classification, and metabolic pathway analysis of the cyanobacterial aggregates. The.results show that bacteria dominated in cyanobacterial aggregates, accounting for more than 96.66% of total sequences..Microcystis was the most abundant genus, accounted for.26.80% of total assigned sequences at the genus level in.cyanobacterial aggregates community; however,.Proteobacteria (46.20%) was found to be as the most abundant active bacterial populations at the phylum level. More.importantly, nitrogen, phosphonate, and phosphinate metabolism which associated with eutrophication were found in this.study. Especially, the enzymes and organisms relating to denitrification and anammox of nitrogen metabolism, which.reduced nitrogen concentration by reducing nitrate to nitrogen.to inhibit the eutrophication, were first discovered in Lake.Taihu during cyanobacterial bloom period. The present study.provides a snapshot of metatranscriptome for cyanobacterial.aggregates in Lake Taihu and demonstrates that.cyanobacterial aggregates could play a key role in the nitrogen.cycle in eutrophic water.
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影响因子：
2.9
作者：
Ying Huang;Beifang Niu;Ying Gao;L. Fu;Weizhong Li
通讯作者：
Ying Huang;Beifang Niu;Ying Gao;L. Fu;Weizhong Li
营养减少放大了极端天气对大型浅水太湖（中国）蓝藻水华形成的影响
影响因子：
12.8
作者：
Zhen Yang;Min Zhang;Xiaoli Shi;Fanxiang Kong;Ronghua Ma;Yang Yu
通讯作者：
Yang Yu
影响因子：
5.8
作者：
Mengyuan Zhu;G. Zhu;Linlin Zhao;Xin Yao;Yunlin Zhang;G. Gao;B. Qin
通讯作者：
Mengyuan Zhu;G. Zhu;Linlin Zhao;Xin Yao;Yunlin Zhang;G. Gao;B. Qin
影响因子：
15.5
作者：
Celaj A;Markle J;Danska J;Parkinson J
通讯作者：
Parkinson J
DOI：
10.1016/j.toxicon.2013.05.019
发表时间：
2013-09
期刊：
Toxicon : official journal of the International Society on Toxinology
影响因子：
--
作者：
Isabelle Trinchet;Sabrina Cadel-Six;C. Djédiat;B. Marie;C. Bernard;S. Puiseux‐Dao;S. Krys;M. Edery
通讯作者：
Isabelle Trinchet;Sabrina Cadel-Six;C. Djédiat;B. Marie;C. Bernard;S. Puiseux‐Dao;S. Krys;M. Edery