Two novel endophytic Tolypocladium species identified from native pines in south Florida.

Q4 Mathematics

Computational Mathematics and Modeling Pub Date : 2023-06-01 Epub Date: 2023-03-17 DOI:10.3114/fuse.2023.11.04

J M Soares, E Karlsen-Ayala, C A Salvador-Montoya, R Gazis

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引用次数: 0

Abstract

This study investigated the incidence and diversity of Tolypocladium within trunks of south Florida slash pines (Pinus densa). Thirty-five isolates were recovered from trunk tissue including living phloem, cambium, and sapwood. Two novel species of Tolypocladium (T. subtropicale and T. trecense) are described here based on morphological and molecular analysis of concatenated LSU, ITS, tef-1, tub, and RPB1 sequences. Our findings expand our understanding of the distribution, diversity, and ecology of this genus and confirm that it is widely spread as an endophyte across ecosystems and hosts. Strains collected in this survey will be used in future bioassays to determine their potential ecological roles as mycoparasites or entomopathogens. Citation: Soares JM, Karlsen-Ayala E, Salvador-Montoya CA, Gazis R (2023). Two novel endophytic Tolypocladium species identified from native pines in south Florida. Fungal Systematics and Evolution 11: 51-61. doi: 10.3114/fuse.2023.11.04.

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从佛罗里达州南部的本地松树中发现两种新的内生 Tolypocladium 物种。

本研究调查了佛罗里达州南部斜叶松树（Pinus densa）树干中托里波克氏菌的发生率和多样性。从树干组织（包括活的韧皮部、骨皮层和边材）中回收了 35 个分离株。根据对 LSU、ITS、tef-1、tub 和 RPB1 序列的形态学和分子分析，这里描述了两种新的 Tolypocladium（T. subtropicale 和 T. trecense）。我们的研究结果拓展了我们对该属的分布、多样性和生态学的了解，并证实它作为内生菌广泛分布于生态系统和宿主中。本次调查收集的菌株将用于未来的生物测定，以确定其作为真菌寄生虫或昆虫病原体的潜在生态作用。引用：Soares JM, Karlsen-Ayala E, Salvador-Montoya CA, Gazis R (2023).从佛罗里达州南部的原生松树中鉴定出两种新的内生 Tolypocladium 物种。真菌系统学与进化 11: 51-61. doi: 10.3114/fuse.2023.11.04.

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来源期刊

Computational Mathematics and Modeling Mathematics-Computational Mathematics

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： Computational Mathematics and Modeling focuses on important Russian contributions to computational mathematics that are useful to the applied scientist or engineer. This quarterly publication presents timely research articles by scientists from Moscow State University, an institution recognized worldwide for influential contributions to this subject. Numerical analysis, control theory, and the interplay of modeling and computational mathematics are among the featured topics.