Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Krakow, Poland.
Doctoral School of Exact and Natural Sciences, Jagiellonian University, Krakow, Poland.
PeerJ. 2024 Sep 23;12:e18025. doi: 10.7717/peerj.18025. eCollection 2024.
Symbiotic relationships with diverse microorganisms are crucial for many aspects of insect biology. However, while our understanding of insect taxonomic diversity and the distribution of insect species in natural communities is limited, we know much less about their microbiota. In the era of rapid biodiversity declines, as researchers increasingly turn towards DNA-based monitoring, developing and broadly implementing approaches for high-throughput and cost-effective characterization of both insect and insect-associated microbial diversity is essential. We need to verify whether approaches such as high-throughput barcoding, a powerful tool for identifying wild insects, would permit subsequent microbiota reconstruction in these specimens.
High-throughput barcoding ("megabarcoding") methods often rely on non-destructive approaches for obtaining template DNA for PCR amplification by leaching DNA out of insect specimens using alkaline buffers such as HotSHOT. This study investigated the impact of HotSHOT on microbial abundance estimates and the reconstructed bacterial community profiles. We addressed this question by comparing quantitative 16S rRNA amplicon sequencing data for HotSHOT-treated or untreated specimens of 16 insect species representing six orders and selected based on the expectation of limited variation among individuals.
We find that in 13 species, the treatment significantly reduced microbial abundance estimates, corresponding to an estimated 15-fold decrease in amplifiable 16S rRNA template on average. On the other hand, HotSHOT pre-treatment had a limited effect on microbial community composition. The reconstructed presence of abundant bacteria with known significant effects was not affected. On the other hand, we observed changes in the presence of low-abundance microbes, those close to the reliable detection threshold. Alpha and beta diversity analyses showed compositional differences in only a few species.
Our results indicate that HotSHOT pre-treated specimens remain suitable for microbial community composition reconstruction, even if abundance may be hard to estimate. These results indicate that we can cost-effectively combine barcoding with the study of microbiota across wild insect communities. Thus, the voucher specimens obtained using megabarcoding studies targeted at characterizing insect communities can be used for microbiome characterizations. This can substantially aid in speeding up the accumulation of knowledge on the microbiomes of abundant and hyperdiverse insect species.
与多种微生物的共生关系对昆虫生物学的许多方面都至关重要。然而,尽管我们对昆虫的分类多样性和自然群落中昆虫物种的分布有了一定的了解,但我们对它们的微生物组知之甚少。在生物多样性迅速减少的时代,随着研究人员越来越倾向于基于 DNA 的监测,开发和广泛实施高通量和具有成本效益的昆虫和昆虫相关微生物多样性特征描述方法至关重要。我们需要验证高吞吐量条形码等方法是否能够允许在这些标本中随后进行微生物组重建,这种方法是识别野生昆虫的强大工具。
高通量条形码(“宏条形码”)方法通常依赖于非破坏性方法,通过使用碱性缓冲液(如 HotSHOT)从昆虫标本中浸提出 DNA 来获得用于 PCR 扩增的模板 DNA。本研究通过比较 16 种代表六个目的昆虫物种的 HotSHOT 处理或未处理标本的定量 16S rRNA 扩增子测序数据,来研究 HotSHOT 对微生物丰度估计和重建的细菌群落图谱的影响。这些标本是根据个体间变异有限的预期选择的。
我们发现,在 13 个物种中,处理显著降低了微生物丰度估计值,平均估计减少了 15 倍的可扩增 16S rRNA 模板。另一方面,HotSHOT 预处理对微生物群落组成的影响有限。具有显著影响的丰富细菌的重建存在不受影响。另一方面,我们观察到低丰度微生物的存在发生了变化,这些微生物接近可靠的检测阈值。仅在少数几个物种中进行了 alpha 和 beta 多样性分析。
我们的结果表明,即使丰度难以估计,经过 HotSHOT 预处理的标本仍然适合微生物群落组成的重建。这些结果表明,我们可以以具有成本效益的方式将条形码技术与对野生昆虫群落中微生物组的研究相结合。因此,通过针对昆虫群落进行特征描述的宏条形码研究获得的凭证标本可用于微生物组特征描述。这可以极大地帮助加快对丰富和高度多样的昆虫物种的微生物组的知识积累。