高丛蓝莓和蔓越莓作物农业生态系统对蜜蜂健康和生理影响的组学研究。

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-09-06 DOI:10.1002/pmic.70033
Huan Zhong, Yuming Shi, Aleksandra Kozlova, Renata Moravcova, Jason C Rogalski, Aidan Jamieson, Lance Lansing, Kyung-Mee Moon, Xiaojing Yuan, Amanda S Gregoris, Heather Higo, Julia Common, Ida M Conflitti, Mateus Pepinelli, Lan Tran, Morgan Cunningham, Hosna Jabbari, Syed Abbas Bukhari, Sarah K French, Rodrigo Ortega Polo, Shelley E Hoover, Stephen F Pernal, Pierre Giovenazzo, M Marta Guarna, Amro Zayed, Leonard J Foster
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引用次数: 0

摘要

蜜蜂(Apis mellifera)在高丛蓝莓(HBB)和蔓越莓(CRA)等生产水果的农业生态系统中是重要的传粉者。然而,它们的健康受到多种相互作用的压力因素的威胁,包括杀虫剂、病原体和营养变化。我们测试了这样一个假设,即不同的农业生态系统——农药暴露、病原体负荷和花卉资源的不同组合——在蜜蜂中引发生态系统特异性的、组织水平的分子反应。我们使用rna测序(RNA-seq)、蛋白质组学和肠道微生物组分析对两个农业生态系统中采集的蜜蜂的三种关键组织类型(头部、腹部和肠道)进行了综合多组学分析。定量检测农药残留、病原体负荷(微孢子虫、破坏瓦螨和多种病毒)和肠道微生物群。加权基因共表达网络分析(WGCNA)揭示了与RNA共表达网络不同的具有生态系统相关模式的组织特异性蛋白质模块。微生物组的组成也各不相同,关键属如吉利亚菌、斯诺德草菌和巴尔通体与代谢模块相关。这些发现强调了农业生态系统条件对蜜蜂健康的复杂、依赖环境的影响。我们的研究提供了一个系统层面的理解,了解农药、病原体和寄生压力源如何在饮食和微生物组的介导下形成蜜蜂的分子表型,从而为管理景观中传粉媒介的保护提供信息。摘要:本研究对蓝莓和蔓越莓农业生态系统中蜜蜂的觅食行为进行了全面的多组学分析,为管理作物环境中传粉媒介健康的分子机制提供了新的见解。通过整合转录组学、蛋白质组学和微生物组分析在关键组织-头部、腹部和肠道-我们揭示了环境压力因素,包括农药暴露、病原体感染和寄生虫感染(例如,瓦罗亚破坏者),如何不同地影响蜜蜂生理和微生物组组成。我们的研究结果强调了对这些压力源的组织特异性反应,在每个组织中观察到不同的代谢途径改变。蛋白质组学和转录组学分析揭示了与氧化磷酸化和蛋白质合成相关的失调途径,而微生物组学分析揭示了肠道细菌群落中作物依赖性的变化,提示了农药解毒和免疫调节的潜在作用。值得注意的是,我们确定了与压力适应相关的关键分子生物标志物,这可能是菌落健康恶化的早期指标。这项研究强调需要一种系统级的方法来了解农业景观中传粉媒介的压力。通过阐明饮食、农药残留、病原体负荷和分子胁迫反应之间的相互作用,本研究为有针对性的保护策略提供了基础,旨在减轻农业生态系统的环境风险和提高授粉的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Omics Insights Into the Effects of Highbush Blueberry and Cranberry Crop Agroecosystems on Honey Bee Health and Physiology.

Honey bees (Apis mellifera) are vital pollinators in fruit-producing agroecosystems like highbush blueberry (HBB) and cranberry (CRA). However, their health is threatened by multiple interacting stressors, including pesticides, pathogens, and nutritional changes. We tested the hypothesis that distinct agricultural ecosystems-with different combinations of agrochemical exposure, pathogen loads, and floral resources-elicit ecosystem-specific, tissue-level molecular responses in honey bees. We conducted an integrated multi-omics analysis using RNA-sequencing (RNA-seq), proteomics, and gut microbiome profiling across three key tissue types (head, abdomen, and gut) of honey bees collected from two agroecosystems over two field seasons. Quantification was performed for pesticide residues, pathogen loads (Nosema spp., Varroa destructor, and multiple viruses), and gut microbiota. Weighted gene co-expression network analysis (WGCNA) revealed tissue-specific protein modules with ecosystem-associated patterns, which differed from RNA co-expression networks. Microbiome composition also varied, with key genera like Gilliamella, Snodgrassella, and Bartonella correlating with metabolic modules. These findings underscore the complex, environment-dependent impacts of agroecosystem conditions on bee health. Our study provides a system-level understanding of how combined pesticide, pathogen, and parasitic stressors, mediated by diet and microbiome, shape molecular phenotypes in honey bees-informing strategies for pollinator protection in managed landscapes. SUMMARY: This study provides a comprehensive multi-omics analysis of honey bees foraging in blueberry and cranberry agroecosystems, offering novel insights into the molecular mechanisms underlying pollinator health in managed crop environments. By integrating transcriptomic, proteomic, and microbiome profiling across key tissues-head, abdomen, and gut-we reveal how environmental stressors, including pesticide exposure, pathogen infections, and parasitic infestations (e.g., Varroa destructor), differentially impact bee physiology and microbiome composition. Our findings highlight tissue-specific responses to these stressors, with distinct metabolic pathway alterations observed in each tissue. Proteomic and transcriptomic analyses uncovered dysregulated pathways linked to oxidative phosphorylation and protein synthesis, while microbiome analysis revealed crop-dependent shifts in gut bacterial communities, suggesting potential roles in pesticide detoxification and immune modulation. Notably, we identified key molecular biomarkers associated with stress adaptation, which may serve as early indicators of colony health deterioration. This research underscores the need for a system-level approach to understanding pollinator stress in agricultural landscapes. By elucidating the interactions between diet, pesticide residues, pathogen loads, and molecular stress responses, our study provides a foundation for targeted conservation strategies aimed at mitigating environmental risks and improving pollination sustainability in agroecosystems.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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