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审计数据解决了数据库中的系统错误,并确认了大多数开花植物的属和科的菌根特征一致性。

Auditing data resolves systemic errors in databases and confirms mycorrhizal trait consistency for most genera and families of flowering plants.

机构信息

School of Biological Sciences, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.

出版信息

Mycorrhiza. 2021 Nov;31(6):671-683. doi: 10.1007/s00572-021-01051-4. Epub 2021 Sep 10.

DOI:10.1007/s00572-021-01051-4
PMID:34508280
Abstract

Nearly 150 years of research has accumulated large amounts of data on mycorrhizal association types in plants. However, this important resource includes unreliable allocated traits for some species. An audit of six commonly used data sources revealed a high degree of consistency in the mycorrhizal status of most species, genera and families of vascular plants, but there were some records that contradict the majority of other data (~ 10% of data overall). Careful analysis of contradictory records using rigorous definitions of association types revealed that the majority were diagnosis errors, which often stem from references predating modern knowledge of mycorrhiza types. Other errors are linked to inadequate microscopic examinations of roots or plants with complex root anatomy, such as phi thickenings or beaded roots. Errors consistently occurred at much lower frequencies than correct records but have accumulated in uncorrected databases. This results in less accurate knowledge about dominant plants in some ecosystems because they were sampled more often. Errors have also propagated from one database to another over decades when data were amalgamated without checking their suitability. Due to these errors, it is often incorrect to designate plants reported to have inconsistent mycorrhizas as "facultatively mycorrhizal". Updated protocols for resolving conflicting mycorrhizal data are provided here. These are based on standard morphological definitions of association types, which are the foundations of mycorrhizal science. This analysis also identifies the need for adequate training and mentoring of researchers to maintain the quality of mycorrhizal research.

摘要

近 150 年来的研究积累了大量关于植物菌根共生类型的数据。然而,这一重要资源包括一些物种不可靠的分配特征。对六个常用数据源的审计显示,大多数维管植物的物种、属和科的菌根状况具有高度一致性,但也有一些记录与大多数其他数据相矛盾(约占总数据的 10%)。使用菌根类型的严格定义对有争议的记录进行仔细分析后发现,大多数都是诊断错误,这些错误通常源于现代菌根类型知识出现之前的参考文献。其他错误与对根或具有复杂根解剖结构的植物的不充分的显微镜检查有关,例如 phi 加厚或珠状根。错误的发生频率始终明显低于正确记录,但在未经更正的数据库中积累。这导致一些生态系统中优势植物的知识不太准确,因为它们被更频繁地采样。在几十年的数据合并过程中,没有检查其适用性,错误也从一个数据库传播到另一个数据库。由于这些错误,将报告具有不一致菌根的植物指定为“兼性菌根”通常是不正确的。这里提供了用于解决冲突菌根数据的更新协议。这些协议基于关联类型的标准形态学定义,这是菌根科学的基础。这项分析还确定了需要对研究人员进行足够的培训和指导,以维持菌根研究的质量。

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Variability in mycorrhizal status of plant species is much larger within than between plots in grassland and coastal habitats.在草原和沿海栖息地中,植物物种菌根状态的变异性在地块内部比地块之间要大得多。

本文引用的文献

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DLK2 regulates arbuscule hyphal branching during arbuscular mycorrhizal symbiosis.DLK2 调控丛枝菌根共生过程中的丛枝菌丝丝状分支。
New Phytol. 2021 Jan;229(1):548-562. doi: 10.1111/nph.16938. Epub 2020 Oct 20.
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FungalRoot: global online database of plant mycorrhizal associations.真菌根:植物菌根共生关系的全球在线数据库。
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Extensive membrane systems at the host-arbuscular mycorrhizal fungus interface.宿主-丛枝菌根真菌界面的广泛膜系统。
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Misdiagnosis of mycorrhizas and inappropriate recycling of data can lead to false conclusions.误诊菌根和数据的不当再利用可能导致错误的结论。
New Phytol. 2019 Jan;221(1):18-24. doi: 10.1111/nph.15440. Epub 2018 Sep 7.
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