Metatranscriptomics reveals gene expression dynamics during an anatoxin-a producing Dolichospermum bloom in a western coastal lake.

Chemosphere Pub Date : 2025-03-01 Epub Date: 2025-01-18 DOI:10.1016/j.chemosphere.2025.144124
David M Linz, Ian Struewing, Nathan Sienkiewicz, Rochelle Labiosa, Jingrang Lu
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Abstract

Cyanobacteria harmful algal blooms in lakes are primarily driven by nutrient and temperature conditions, yet the interplay of these abiotic factors with microbial community dynamics during bloom events is complex and challenging to unravel. Despite advances through deep sequencing approaches, the underlying transcriptomic changes occurring within blooming and non-blooming taxa remains an actively expanding area of study. In this work, we examined a spring-summer bloom event in Anderson Lake, WA, which has experienced recurring annual blooms dominated by the filamentous, anatoxin-a producing, diazotroph: Dolichospermum sp. WA102. Our data reveal the overall transcriptional dominance by Dolichospermum sp. WA102 during the bloom, initiated with increasing temperature and light intensity under high available phosphorus but low nitrogen conditions. We find that heterocyst differentiation was already transcriptionally initiated prior to the bloom, facilitating downstream gene cascades necessary for rapid nitrogen fixation and metabolism. As the bloom progresses, phosphorus becomes depleted, necessitating the expression of Pho regulon components in Dolichospermum sp. WA102 and possibly curtailing the bloom itself. We dissect toxin production and the transcriptional subtleties of the anatoxin-a synthesis locus. Additionally, co-occurring taxa exhibited distinct gene expression profiles, with competition for nutrients, light, and potential allelopathic interactions acting as drivers. Overall, our data provide a unique transcriptomic perspective on a single-taxa-driven, anatoxin-producing bloom, highlighting its competitive adaptation to nutrient acquisition and favorable conditions. This deeper understanding of the genetic mechanisms underlying algal bloom events may aid in predicting and preventing future blooms.

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超转录组学揭示了西部沿海湖泊中产生anatoxin-a的Dolichospermum开花期间的基因表达动态。
湖泊中的蓝藻有害藻华主要由营养和温度条件驱动,但这些非生物因素与藻华事件期间微生物群落动态的相互作用是复杂且具有挑战性的。尽管通过深度测序方法取得了进展,但在开花和非开花分类群中发生的潜在转录组变化仍然是一个积极扩展的研究领域。在这项工作中,我们研究了华盛顿州安德森湖的春夏水华事件,该事件经历了由丝状的,产生anatoxin-a的重氮营养菌:Dolichospermum sp. WA102主导的年度重复水华。我们的数据显示,在高有效磷低氮条件下,随着温度和光照强度的增加,Dolichospermum sp. WA102在开花期间的转录总体上处于优势地位。我们发现杂种囊分化在开花之前就已经转录启动,促进了下游基因级联反应,这是快速固氮和代谢所必需的。随着开花的进行,磷的消耗,使得磷调控成分在Dolichospermum sp. WA102中的表达成为必要,并可能限制开花本身。我们剖析了毒素的产生和anatoxin-a合成位点的转录微妙之处。此外,共同发生的类群表现出不同的基因表达谱,对营养、光和潜在的化感相互作用的竞争是驱动因素。总的来说,我们的数据提供了一个独特的转录组学视角来研究单分类群驱动的、产生褐藻毒素的水华,突出了它对营养获取和有利条件的竞争性适应。这种对藻华事件的遗传机制的深入了解可能有助于预测和预防未来的藻华。
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