Hambright W S, Deng Jie, Tiedje James M, Brettar Ingrid, Rodrigues Jorge L M
Department of Cellular and Structural Biology, University of Texas Health Science Center, San Antonio, Texas, USA.
Center for Microbial Ecology, Michigan State University, East Lansing, Michigan, USA.
mSphere. 2016 Oct 19;1(5). doi: 10.1128/mSphere.00158-16. eCollection 2016 Sep-Oct.
In bacterial populations, subtle expressional differences may promote ecological specialization through the formation of distinct ecotypes. In a barrier-free habitat, this process most likely precedes population divergence and may predict speciation events. To examine this, we used four sequenced strains of the bacterium , OS155, OS185, OS195, and OS223, as models to assess transcriptional variation and ecotype formation within a prokaryotic population. All strains were isolated from different depths throughout a water column of the Baltic Sea, occupying different ecological niches characterized by various abiotic parameters. Although the genome sequences are nearly 100% conserved, when grown in the laboratory under standardized conditions, all strains exhibited different growth rates, suggesting significant expressional variation. Using the Ecotype Simulation algorithm, all strains were considered to be discrete ecotypes when compared to 32 other strains isolated from the same water column, suggesting ecological divergence. Next, we employed custom microarray slides containing oligonucleotide probes representing the core genome of OS155, OS185, OS195, and OS223 to detect natural transcriptional variation among strains grown under identical conditions. Significant transcriptional variation was noticed among all four strains. Differentially expressed gene profiles seemed to coincide with the metabolic signatures of the environment at the original isolation depth. Transcriptional pattern variations such as the ones highlighted here may be used as indicators of short-term evolution emerging from the formation of bacterial ecotypes. Eukaryotic studies have shown considerable transcriptional variation among individuals from the same population. It has been suggested that natural variation in eukaryotic gene expression may have significant evolutionary consequences and may explain large-scale phenotypic divergence of closely related species, such as humans and chimpanzees (M.-C. King and A. C. Wilson, Science 188:107-116, 1975, http://dx.doi.org/10.1126/science.1090005; M. F. Oleksiak, G. A. Churchill, and D. L. Crawford, Nat Genet 32:261-266, 2002, http://dx.doi.org/10.1038/ng983). However, natural variation in gene expression is much less well understood in prokaryotic organisms. In this study, we used four sequenced strains of the marine bacterium to better understand the natural transcriptional divergence of a stratified prokaryotic population. We found substantial low-magnitude expressional variation among the four strains cultivated under identical laboratory conditions. Collectively, our results indicate that transcriptional variation is an important factor for ecological speciation.
在细菌群体中,细微的表达差异可能通过形成不同的生态型来促进生态特化。在无屏障的栖息地中,这一过程很可能先于种群分化,并可能预测物种形成事件。为了对此进行研究,我们使用了该细菌的四个测序菌株OS155、OS185、OS195和OS223作为模型,来评估原核生物群体内的转录变异和生态型形成。所有菌株均从波罗的海水柱的不同深度分离得到,占据着以各种非生物参数为特征的不同生态位。尽管基因组序列几乎100%保守,但在实验室标准化条件下培养时,所有菌株均表现出不同的生长速率,这表明存在显著的表达变异。使用生态型模拟算法,与从同一水柱分离得到的其他32个菌株相比,所有菌株都被认为是离散的生态型,这表明存在生态分化。接下来,我们使用定制的微阵列玻片,其包含代表OS155、OS185、OS195和OS223核心基因组的寡核苷酸探针,来检测在相同条件下生长的菌株之间的自然转录变异。在所有四个菌株中都注意到了显著的转录变异。差异表达的基因谱似乎与原始分离深度处环境的代谢特征相吻合。这里所强调的转录模式变异等可能被用作细菌生态型形成所产生的短期进化的指标。真核生物研究表明,同一群体中的个体之间存在相当大的转录变异。有人提出,真核生物基因表达的自然变异可能具有重大的进化后果,并可能解释密切相关物种(如人类和黑猩猩)的大规模表型差异(M.-C. 金和A. C. 威尔逊,《科学》188:107 - 116,1975,http://dx.doi.org/10.1126/science.1090005;M. F. 奥莱克西亚克、G. A. 丘吉尔和D. L. 克劳福德,《自然遗传学》32:261 - 266,2002,http://dx.doi.org/10.1038/ng983)。然而,原核生物中基因表达的自然变异却了解得少得多。在本研究中,我们使用了该海洋细菌的四个测序菌株,以更好地理解分层原核生物群体的自然转录分化。我们发现在相同实验室条件下培养的四个菌株之间存在大量低幅度的表达变异。总体而言,我们的结果表明转录变异是生态物种形成的一个重要因素。