Drivers of plant parasitic nematode community structures associated with tobacco-growing areas in southern Brazil

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Journal of Phytopathology Pub Date : 2024-04-25 DOI:10.1111/jph.13309
Eduarda Kalena Kirsch de Ramos, Paulo Cesar Pazdiora, Leandro Jose Dallagnol, Matheus Martins Pereira, Mayara Rodrigues de Souza, Jeronimo Vieira de Araujo Filho
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Abstract

Tobacco (Nicotiana tabacum L.) is one of the most important crops in southern Brazil, but little is known about the distribution and diversity of plant parasitic nematodes (PPNs). We surveyed the occurrence and diversity of PPNs in 36 tobacco-growing areas in southern Brazil as well as evaluated their relationship with 19 bioclimatic variables. For these purposes, extracted nematodes (from soil and roots) were identified based on morphological and biochemical traits and estimates of incidence and abundance were obtained, which were used to compute diversity indices. Furthermore, the relationship between taxa and diversity and the influence of bioclimatic variables were studied using principal component analysis (PCA) and generalized linear models (GLMs), respectively. We observed diversity across the sampled sites, with values varying from 0.03 to 1.22 and from 0.05 to 0.76 according to the Shannon-Wiener and Pielou's evenness indices, respectively. Seven genera of PPNs (Meloidogyne, Helicotylenchus, Tylenchus, Xiphinema, Pratylenchus, Paratylenchus and Mesocriconema) were identified, highlighting taxa with high incidence and abundance, such as Meloidogyne (100%; 1800 to 41,850 specimens/250 cm3), Helicotylenchus (100%; 50 to 9850 specimens/250 cm3), and Pratylenchus (86.1%; 50 to 1950 specimens/250 cm3). The PCA disclosed the major roles of Meloidogyne, Tylenchus, and Helicotylenchus in the structure of the PPN communities and their interplays. Among root-knot nematodes, Meloidogyne javanica, M. arenaria and M. incognita were the predominant species. Using GLMs, we found that average annual temperature and annual precipitation strongly influenced the abundance of PPNs as well as the diversity indices (p < .01), with negative and/or positive interactions. Collectively, our findings fill gaps in knowledge about the current impact of PPNs and provide insights into future scenarios, including for other host crops.

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巴西南部烟草种植区植物寄生线虫群落结构的驱动因素
烟草(Nicotiana tabacum L.)是巴西南部最重要的作物之一,但人们对其植物寄生线虫(PPNs)的分布和多样性知之甚少。我们调查了巴西南部 36 个烟草种植区的 PPNs 发生情况和多样性,并评估了它们与 19 个生物气候变量的关系。为此,我们根据形态和生化特征对提取的线虫(来自土壤和根部)进行了鉴定,并获得了发病率和丰度的估计值,用于计算多样性指数。此外,还分别使用主成分分析(PCA)和广义线性模型(GLMs)研究了类群与多样性之间的关系以及生物气候变量的影响。根据香农-维纳(Shannon-Wiener)和皮鲁(Pielou)均匀度指数,我们观察到各采样点的多样性值分别在 0.03 至 1.22 和 0.05 至 0.76 之间变化。确定了 7 个 PPN 属(Meloidogyne、Helicotylenchus、Tylenchus、Xiphinema、Pratylenchus、Paratylenchus 和 Mesocriconema),突出了高发生率和高丰度分类群,如 Meloidogyne(100%;1800 至 41850 个标本/250 立方厘米)、Helicotylenchus(100%;50 至 9850 个标本/250 立方厘米)和 Pratylenchus(86.1%;50 至 1950 个标本/250 立方厘米)。PCA 揭示了 Meloidogyne、Tylenchus 和 Helicotylenchus 在 PPN 群落结构中的主要作用及其相互作用。在根结线虫中,Meloidogyne javanica、M. arenaria 和 M. incognita 是主要种类。利用 GLMs,我们发现年平均气温和年降水量对 PPN 的丰度和多样性指数有很大影响(p < .01),并存在负向和/或正向的相互作用。总之,我们的研究结果填补了有关 PPNs 当前影响的知识空白,并为未来的情景(包括对其他寄主作物的影响)提供了见解。
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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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