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基于对UNITE序列数据的大规模分析的Russula subsection Xerampelinae的生物地理和宿主协会

Chance R Noffsinger^1,2, Miroslav Caboň³, P Brandon Matheny¹

¹Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, 37996, TN, USA.

The New phytologist

|December 16, 2025

概括

环境DNA (eDNA) 有助于真菌研究,但物种识别具有挑战性. 我们的遗传学方法提高了物种的分辨率,并揭示了Russula亚科Xerampelinae的广泛分布和宿主协会.

科学领域:

菌类学菌类学是指菌类学.
生态生态学生态生态学
分子生物学分子生物学
生物地理学是生物地理学.

背景情况:

由于果实体的短暂性质,估计真菌的地理范围是困难的.
环境DNA (eDNA) 提供了更广泛的见解,但物种级别识别受到不确定的序列聚类门和有限的分类分辨率等问题的阻碍.

研究的目的:

通过使用大规模的环境序列数据,研究Russula亚区Xerampelinae中的生物地理模式和ectomycorrhizal宿主协会.
开发和验证基于分谱的赋值方法,以改善元编码数据中的物种分辨率.

主要方法:

分析了大规模的环境序列数据,重点是Russula子部分Xerampelinae.
采用最大概率的遗传学方法,从UNITE数据库中识别内部转录间隔符 (ITS) 序列.
集成的序列数据与PlutoF.的局部和宿主协会的元数据.

主要成果:

解决了目标物种类型中的1363个序列,扩大了Russula亚科Xerampelinae的已知分布和植物宿主协会.
通过综合的遗传学和环境元数据分析,揭示了北半球的广泛分布和宿主泛性.
确定了UNITE的物种假设中的局限性,该假设对准确反映基因组学定义的物种界限的值进行了聚类.

结论:

开发的基于分谱的分配方法增强了物种分辨率和从元编码数据的生物地理推断.
这个工作流提供了一种基于序列识别的强大方法,解决了真菌中的生态和进化研究问题.
这项研究强调了植物遗传学方法对于在生态研究中准确识别真菌物种和绘制分布图的重要性.

关键词:

我们的数据库是UNITE数据库.数据采矿数据采矿我们的eDNADNA 遗传学物种概念的概念.种类假设种类假设

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