Krivina E, Sinetova M, Starikov A, Anissimova O, Temraleeva A
G.K. Skryabin Institute of Biochemistry and Physiology of Microorganisms, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russian Federation, 142290.
К.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Moscow, Russian Federation, 127276.
Curr Microbiol. 2025 May 27;82(7):311. doi: 10.1007/s00284-025-04293-z.
The species diversity in the genus Coelastrella is not yet fully unclarified, particularly with regard to algal communities in ecosystems characterized by extreme climatic conditions, such as those found in polar regions. The study objects were strains VKM Al-421, VKM Al-488, and VKM Al-489 isolated from the soils of the Far North, Russian Federation. The analysis of the 18S-ITS1-5.8S-ITS2 fragment revealed that these strains represent a unique phylogenetic lineage outside the 'core Coelastrella' group. The species status is also confirmed by morphological differences between the studied species and its sister species (absence of edges) (lack of ribs), interspecific genetic distances, the presence of compensatory base changes in the internal transcribed spacers ITS1 and ITS2, as well as the results of delimitation using various algorithms applied to both the full-length fragment and shorter barcodes. The strain VKM Al-421 of the new species exhibits a fatty acid profile characteristic of the genus Coelastrella; however, it differs from closely related strains due to the presence of Δ7,10,13-hexadecatrienoic acid and a notably high concentration of α-linolenic acid. These features may indicate an adaptation to polar regions. In addition, the studied strain has the potential to be used as a producer of α-linolenic acid, which is essential for human health. A detailed comparative analysis of the effectiveness of different DNA barcodes showed that ITS2 is the most promising for distinguishing species within Coelastrella. Among all species delimitation algorithms, GMYC is the most accurate when working with variable barcodes. At the same time, the less laborious KoT algorithm demonstrated a similar level of accuracy for ITS1.
小球藻属的物种多样性尚未完全明确,特别是在以极端气候条件为特征的生态系统中的藻类群落方面,例如在极地地区发现的那些生态系统。研究对象是从俄罗斯联邦远北地区土壤中分离出的菌株VKM Al - 421、VKM Al - 488和VKM Al - 489。对18S - ITS1 - 5.8S - ITS2片段的分析表明,这些菌株代表了“核心小球藻”组之外的一个独特系统发育谱系。所研究物种与其姊妹物种之间的形态差异(无边缘)(无肋)、种间遗传距离、内部转录间隔区ITS1和ITS2中补偿性碱基变化的存在,以及使用应用于全长片段和较短条形码的各种算法进行界定的结果,也证实了该物种的地位。新物种的菌株VKM Al - 421表现出小球藻属特有的脂肪酸谱;然而,由于存在Δ7,10,13 - 十六碳三烯酸和显著高浓度的α - 亚麻酸,它与密切相关的菌株有所不同。这些特征可能表明其对极地地区的适应性。此外,所研究的菌株有潜力用作α - 亚麻酸的生产者,α - 亚麻酸对人类健康至关重要。对不同DNA条形码有效性的详细比较分析表明,ITS2在区分小球藻属内的物种方面最有前景。在所有物种界定算法中,GMYC在处理可变条形码时最准确。同时,不太费力的KoT算法对ITS1显示出相似的准确度水平。