Liu-Xu Luisa, Ma Liang, Farvardin Atefeh, García-Agustín Pilar, Llorens Eugenio
Biochemistry and Biotechnology Group, Department of Biology, Biochemistry and Natural Sciences, Jaume I University, Castellón de la Plana, Spain.
The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou, China.
Front Microbiol. 2024 Sep 25;15:1453699. doi: 10.3389/fmicb.2024.1453699. eCollection 2024.
This study examines how plant genotype can influence the microbiome by comparing six tomato genotypes () based on their traditional vs. commercial backgrounds. Using Illumina-based sequencing of the V6-V8 regions of 16S and ITS2 genes, we analyzed and compared the endophytic bacterial and fungal communities in stems to understand how microbiota can differ and be altered in plant genotypes and the relation to human manipulation. Our results reflect that traditional genotypes harbor significantly more exclusive microbial taxa and a broader phylogenetic background than the commercial ones. Traditional genotypes were significantly richer in and fungi, while was more prevalent in commercial genotypes. TH-30 exhibited the highest bacterial abundance, significantly more than commercial genotypes, particularly in , and . Additionally, traditional genotypes had higher bacterial diversity, notably in orders like , and . Moreover, we performed an evaluation of the impact of a systemic fungicide (tebuconazole-dichlofluanide) to simulate a common agronomic practice and determined that a single fungicide treatment altered the stem endophytic microbiota. Control plants had a higher prevalence of fungal orders , and , while treated plants were dominated by and . Fungal community diversity significantly decreased, but no significant impact was observed on bacterial diversity. Our study provides evidence that the background of the tomato variety impacts the fungal and bacterial stem endophytes. Furthermore, these findings suggest the potential benefits of using of traditional genotypes as a source of novel beneficial microbiota that may prove highly valuable in unpredicted challenges and the advancement in sustainable agriculture.
本研究通过比较六种基于传统背景与商业背景的番茄基因型，探讨了植物基因型如何影响微生物组。利用基于Illumina的16S和ITS2基因V6 - V8区域测序技术，我们分析并比较了茎中的内生细菌和真菌群落，以了解微生物群在植物基因型中如何不同及变化，以及与人类操控的关系。我们的结果表明，传统基因型比商业基因型拥有显著更多的独特微生物分类群和更广泛的系统发育背景。传统基因型在和真菌方面显著更丰富，而在商业基因型中更为普遍。TH - 30表现出最高的细菌丰度，显著高于商业基因型，尤其是在、和中。此外，传统基因型具有更高的细菌多样性，特别是在、和等目。此外，我们评估了一种系统性杀菌剂（戊唑醇 - 百菌清）的影响，以模拟常见的农艺实践，并确定单一杀菌剂处理改变了茎内生微生物群。对照植物中真菌目、和的占比更高，而处理后的植物以和为主。真菌群落多样性显著降低，但对细菌多样性未观察到显著影响。我们的研究提供了证据，表明番茄品种背景会影响茎中的真菌和细菌内生菌。此外，这些发现表明使用传统基因型作为新型有益微生物群来源的潜在益处，这在应对不可预测的挑战和可持续农业发展中可能具有很高的价值。
