College of Life Sciences, Henan Normal University, Xinxiang, 453007, China.
Department of Environmental Sciences, Kohsar University Murree, Murree, 47150, Punjab, Pakistan.
Environ Res. 2024 Dec 15;263(Pt 3):120260. doi: 10.1016/j.envres.2024.120260. Epub 2024 Oct 29.
Fungi play important roles in ecosystems. Analyzing fungal communities in environments has long been a challenge due to the large difference in compositions retrieved using different methods or sequencing regions, obscuring the true abundance and species information. Our study aimed to compare and determine more accurate approach for evaluating fungal populations in river sediment. To achieve this, different primer sets in the internal transcribed spacer (ITS) (ITS5/ITS1R, ITS1F/ITS2), 18S rRNA gene (0817F/1196R) for High-throughput sequencing (HTS), metagenomic shotgun sequencing (MS) directly from environmental samples, and HTS using ITS primers for the fungal samples collected from plate cultivation were used to characterize the fungal communities. We calculated diversity index and used FungalTraits to analyze methods preferences for fungal species. The study revealed that when analyzing the fungal species directly from environmental samples, amplification and sequencing of ITS region demonstrated more accuracy than MS and 18S rRNA gene sequencing methods, but displayed significant primer preference. Over 30 % fungal species from HTS after plate cultivation were not present in HTS from the environmental samples. NMDS analysis demonstrated significant disparities in species diversity among different methods, suggesting potential complementarity between them. Over 85% species identified by HTS using ITS primers belonged to filamentous fungi, while the MS mostly identified yeast (62%). Therefore, to get more accurate fungal community information in sediment, multiple methods were recommended by using cultivation, molecular biological methods dependent on PCR techniques like ITS1F/ITS2 primer for HTS and PCR independent method such as metagenomic shotgun sequencing techniques.
真菌在生态系统中发挥着重要作用。由于使用不同方法或测序区域获得的组成部分差异很大,分析环境中的真菌群落一直是一个挑战,这掩盖了真实的丰度和物种信息。我们的研究旨在比较和确定更准确的方法来评估河流沉积物中的真菌种群。为此,我们使用了不同的内转录间隔区(ITS)(ITS5/ITS1R、ITS1F/ITS2)、18S rRNA 基因(0817F/1196R)的引物对用于高通量测序(HTS)、直接从环境样本中进行宏基因组鸟枪法测序(MS)以及使用 ITS 引物从平板培养物中收集的真菌样本进行 HTS,以描述真菌群落。我们计算了多样性指数,并使用 FungalTraits 分析了方法对真菌物种的偏好。研究表明,当直接从环境样本中分析真菌物种时,ITS 区域的扩增和测序比 MS 和 18S rRNA 基因测序方法更准确,但显示出明显的引物偏好。经过平板培养后,HTS 中超过 30%的真菌物种在环境样本的 HTS 中不存在。NMDS 分析表明,不同方法之间的物种多样性存在显著差异,表明它们之间存在潜在的互补性。通过使用 ITS 引物进行 HTS 鉴定的超过 85%的物种属于丝状真菌,而 MS 主要鉴定酵母(62%)。因此,为了在沉积物中获得更准确的真菌群落信息,建议使用培养、分子生物学方法(如依赖于 PCR 技术的 ITS1F/ITS2 引物的 HTS)和不依赖于 PCR 的方法(如宏基因组鸟枪法测序技术)相结合。