Phylogenetic reference data for systematics and phylotaxonomy of arbuscular mycorrhizal fungi from phylum to species level

Phylogenetic reference data for systematics and phylotaxonomy of arbuscular mycorrhizal fungi from phylum to species level
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DOI:
10.1111/j.1469-8137.2011.03962.x
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发表时间:
2012-03-01
期刊:
影响因子:
9.4
通讯作者:
Schuessler, Arthur
Schuessler, Arthur
中科院分区:
生物学1区
文献类型:
--
作者:
Krueger, Manuela;Krueger, Claudia;Schuessler, Arthur

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尽管丛枝菌根真菌(AMF)的分子发生、进化和生物多样性已越来越清楚,但在分类学上可靠的序列数据仍然有限。为了填补这一空白,提供了一个数据集,可以在所有分类层次上进行分辨和环境追踪。两个重叠的核DNA区域,总共c。3kb的片段:小亚基(SSU)rRNA基因(最大1800bp)和跨越c. SSU rDNA的250 bp,内部转录间隔区(ITS)区域(c. 475520 bp)和C. 800 bp的大亚基(LSU)rRNA基因。这两个DNA区域一起可以分析35个描述的物种,SSU rDNA的c。76个已命名种和18个尚未确定种,以及ITS区或LSU rDNA,或两者的组合,为c。91个已命名的物种和16个尚未定义的物种。目前的系统发育分析,三个rDNA标记的基础上,提供可靠和强大的分辨率从门到种的水平。总共分析了109个命名的物种和27个代表尚未定义的物种的文化。本研究为AMF的分子系统学和环境群落分析提供了参考数据,包括基于深度测序的分析。
Although the molecular phylogeny, evolution and biodiversity of arbuscular mycorrhizal fungi (AMF) are becoming clearer, phylotaxonomically reliable sequence data are still limited. To fill this gap, a data set allowing resolution and environmental tracing across all taxonomic levels is provided. Two overlapping nuclear DNA regions, totalling c. 3 kb, were analysed: the small subunit (SSU) rRNA gene (up to 1800 bp) and a fragment spanning c. 250 bp of the SSU rDNA, the internal transcribed spacer (ITS) region (c. 475520 bp) and c. 800 bp of the large subunit (LSU) rRNA gene. Both DNA regions together could be analysed for 35 described species, the SSU rDNA for c. 76 named and 18 as yet undefined species, and the ITS region or LSU rDNA, or a combination of both, for c. 91 named and 16 as yet undefined species. Present phylogenetic analyses, based on the three rDNA markers, provide reliable and robust resolution from phylum to species level. Altogether, 109 named species and 27 cultures representing as yet undefined species were analysed. This study provides a reference data set for molecular systematics and environmental community analyses of AMF, including analyses based on deep sequencing.