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适应作用可防止莱茵衣藻在有毒铍环境下灭绝。

Adaptation prevents the extinction of Chlamydomonas reinhardtii under toxic beryllium.

作者信息

Baselga-Cervera Beatriz, Costas Eduardo, Bustillo-Avendaño Estéfano, García-Balboa Camino

机构信息

Genetics, Department of Animal Production, Universidad Complutense de Madrid , Madrid , Spain.

Genetics, Department of Animal Production, Universidad Complutense de Madrid, Madrid, Spain; I+D+I, Biotechnological Environmental Solutions S.L., Madrid, Spain.

出版信息

PeerJ. 2016 Mar 21;4:e1823. doi: 10.7717/peerj.1823. eCollection 2016.

Abstract

The current biodiversity crisis represents a historic challenge for natural communities: the environmental rate of change exceeds the population's adaptation capability. Integrating both ecological and evolutionary responses is necessary to make reliable predictions regarding the loss of biodiversity. The race against extinction from an eco-evolutionary perspective is gaining importance in ecological risk assessment. Here, we performed a classical study of population dynamics-a fluctuation analysis-and evaluated the results from an adaption perspective. Fluctuation analysis, widely used with microorganisms, is an effective empirical procedure to study adaptation under strong selective pressure because it incorporates the factors that influence demographic, genetic and environmental changes. The adaptation of phytoplankton to beryllium (Be) is of interest because human activities are increasing the concentration of Be in freshwater reserves; therefore, predicting the effects of human-induced pollutants is necessary for proper risk assessment. The fluctuation analysis was performed with phytoplankton, specifically, the freshwater microalgae Chlamydomonas reinhardtii, under acute Be exposure. High doses of Be led to massive microalgae death; however, by conducting a fluctuation analysis experiment, we found that C. reinhardtii was able to adapt to 33 mg/l of Be due to pre-existing genetic variability. The rescuing adapting genotype presented a mutation rate of 9.61 × 10(-6) and a frequency of 10.42 resistant cells per million wild-type cells. The genetic adaptation pathway that was experimentally obtained agreed with the theoretical models of evolutionary rescue (ER). Furthermore, the rescuing genotype presented phenotypic and physiologic differences from the wild-type genotype, was 25% smaller than the Be-resistant genotype and presented a lower fitness and quantum yield performance. The abrupt distinctions between the wild-type and the Be-resistant genotype suggest a pleiotropic effect mediated by an advantageous mutation; however, no sequencing confirmation was performed.

摘要

当前的生物多样性危机对自然群落而言是一项历史性挑战

环境变化速率超过了种群的适应能力。整合生态和进化响应对于做出有关生物多样性丧失的可靠预测至关重要。从生态进化角度来看,与灭绝赛跑在生态风险评估中变得愈发重要。在此,我们开展了一项关于种群动态的经典研究——波动分析,并从适应角度评估了结果。波动分析广泛应用于微生物研究,是在强选择压力下研究适应的有效实证方法,因为它纳入了影响种群统计学、遗传和环境变化的因素。浮游植物对铍(Be)的适应备受关注,因为人类活动正在增加淡水储备中铍的浓度;因此,预测人为污染物的影响对于进行恰当的风险评估是必要的。波动分析是在浮游植物,具体而言是淡水微藻莱茵衣藻急性暴露于铍的情况下进行的。高剂量的铍导致大量微藻死亡;然而,通过进行波动分析实验,我们发现莱茵衣藻由于预先存在的遗传变异性能够适应33毫克/升的铍。拯救性适应基因型的突变率为9.61×10⁻⁶,每百万野生型细胞中有10.42个抗性细胞。通过实验获得的遗传适应途径与进化拯救(ER)的理论模型相符。此外,拯救性基因型与野生型基因型在表型和生理上存在差异,比抗铍基因型小25%,且适应性和量子产率表现较低。野生型和抗铍基因型之间的显著差异表明存在由有利突变介导的多效性效应;然而,未进行测序确认。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ce/4806628/0bdbd5b7c2f6/peerj-04-1823-g001.jpg

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