Reticulamoeba is a long-branched Granofilosean (Cercozoa) that is missing from sequence databases.

Reticulamoeba is a long-branched Granofilosean (Cercozoa) that is missing from sequence databases.
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DOI:
10.1371/journal.pone.0049090
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Berney C
Berney C
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Bass D;Yabuki A;Santini S;Romac S;Berney C

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我们对七个神秘的海洋变形虫网状阿米巴Grell分离株的18S核糖体RNA基因进行了测序,这些分离株分为四个遗传上不同的网状阿米巴谱系,其中两个对应于R. gemmipara Grell和R. minor Grell,另一个具有相对较大的细胞体形成陷窝,另一个与R. minor和R.但具有形成细胞簇的更大倾向。这些谱系一起形成了一个长分支的分支,在尾虫纲Granofilosea(尾虫门)中分支,显示出与Mesofila属的系统发育亲缘关系。网状阿米巴的基本形态是圆形或卵圆形的细胞,具有或多或少的不规则轮廓。网状足长而分枝,呈放射状。网状足带有双向运动的颗粒。还有一个双鞭藻扩散阶段。网状阿米巴是沿海海洋环境样品中常见的一种。针对网状阿米巴分支的PCR引物证实,它是底栖海洋微生物群落的常见成员,也存在于微咸水沉积物和淡水生物膜中。然而,到目前为止,它还没有在大型分子数据集中发现,如NCBI GenBank中的核苷酸数据库,Camera中的宏基因组数据集,以及海洋微生物真核生物采样和测序联盟BioMarKs,尽管使用高度靶向的方法可以在其中一些数据集中发现密切相关的谱系。因此,尽管这些数据集是微生物生态学中非常强大的工具,但由于几个方法学原因,它们可能无法检测生态和进化的关键谱系。
We sequenced the 18S ribosomal RNA gene of seven isolates of the enigmatic marine amoeboflagellate Reticulamoeba Grell, which resolved into four genetically distinct Reticulamoeba lineages, two of which correspond to R. gemmipara Grell and R. minor Grell, another with a relatively large cell body forming lacunae, and another that has similarities to both R. minor and R. gemmipara but with a greater propensity to form cell clusters. These lineages together form a long-branched clade that branches within the cercozoan class Granofilosea (phylum Cercozoa), showing phylogenetic affinities with the genus Mesofila. The basic morphology of Reticulamoeba is a roundish or ovoid cell with a more or less irregular outline. Long and branched reticulopodia radiate from the cell. The reticulopodia bear granules that are bidirectionally motile. There is also a biflagellate dispersal stage. Reticulamoeba is frequently observed in coastal marine environmental samples. PCR primers specific to the Reticulamoeba clade confirm that it is a frequent member of benthic marine microbial communities, and is also found in brackish water sediments and freshwater biofilm. However, so far it has not been found in large molecular datasets such as the nucleotide database in NCBI GenBank, metagenomic datasets in Camera, and the marine microbial eukaryote sampling and sequencing consortium BioMarKs, although closely related lineages can be found in some of these datasets using a highly targeted approach. Therefore, although such datasets are very powerful tools in microbial ecology, they may, for several methodological reasons, fail to detect ecologically and evolutionary key lineages.
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