| 论文题目 | Picocyanobacterial synechococcus in marine ecosystem: Insights from genetic diversity, global distribution, and potential function |
| 论文题目（英文） | Picocyanobacterial synechococcus in marine ecosystem: Insights from genetic diversity, global distribution, and potential function |
| 作者 | 王挺;Jialin Li;荆红梅;Song Qin |
| 发表年度 | 2022-04-05 |
| 卷 | 177 |
| 期 | |
| 页码 | 10562 |
| 期刊名称 | MARINE ENVIRONMENTAL RESEARCH |
| 摘要 | 海洋聚球藻是微微型蓝藻的一个主要类群，广泛分布于全球海洋中。聚球藻表现出高度的系统发育和表型多样性，水平基因转移使其遗传进化更加复杂。随着测序技术和分析方法的进一步发展，各聚球藻谱系的生态位划分趋于明确，但仍然缺乏全局分析。因此，有必要总结现有研究并整合已发表的数据，以获得对聚球藻遗传变异、生态位划分和潜在功能的全面了解。在这篇综述中，基于现有的序列数据构建了包括系统发育和色素基因标记在内的最大似然树。通过对大约50次航行中获得的700多个样本进行汇总分析，总结了丰度、谱系和色素类型的全球分布特征。在元素循环和生物相互作用中探索了聚球藻的潜在功能。建议今后在聚球藻方面的工作不仅要着重阐明聚球藻生物多样性的性质，而且要通过结合生物信息学和宏观同位素标记的环境参数来证明其与生态系统的相互作用。 |
| 摘要_英文 |
Marine Synechococcus, a main group of picocyanobacteria, has been ubiquitously observed across the global oceans. Synechococcus exhibits high phylogenetical and phenotypical diversity, and horizontal gene transfer makes its genetic evolution much more intricate. With the development of measurement technologies and analysis methods, the genomic information and niche partition of each Synechococcus lineage tend to be precisely described, but the global analysis is still lacking. Therefore, it is necessary to summarize existing studies and integrate published data to gain a comprehensive understanding of Synechococcus on genetic variation, niche division, and potential functions. In this review, the maximum likelihood trees are constructed based on existing sequence data, including both phylogenetic and pigmentary gene markers. The global distribution characteristics of abundance, lineages, and pigment types are concluded through pooled analysis of more than 700 samples obtained from approximately 50 scientific research cruises. The potential functions of Synechococcus are explored in element cycles and biological interactions. Future work on Synechococcus is suggested to focus on not only elucidating the nature of Synechococcus biodiversity but also demonstrating its interactions with the ecosystem by combining bioinformatics and macroscopic isotope-labeled environmental parameters.
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