School of the Earth, Ocean & Environment, University of South Carolina, Columbia, South Carolina, 29208, USA.
Department of Biological Sciences, University of South Carolina, Columbia, South Carolina, 29208, USA.
J Phycol. 2019 Jun;55(3):552-564. doi: 10.1111/jpy.12816. Epub 2018 Dec 18.
Phenotypic traits associated with light capture and phylogenetic relationships were characterized in 34 strains of diversely pigmented marine and freshwater cryptophytes. Nuclear SSU and partial LSU rDNA sequence data from 33 of these strains plus an additional 66 strains produced a concatenated rooted maximum likelihood tree that classified the strains into 7 distinct clades. Molecular and phenotypic data together support: (i) the reclassification of Cryptomonas irregularis NIES 698 to the genus Rhodomonas, (ii) revision of phycobiliprotein (PBP) diversity within the genus Hemiselmis to include cryptophyte phycocyanin (Cr-PC) 569, (iii) the inclusion of previously unidentified strain CCMP 2293 into the genus Falcomonas, even though it contains cryptophyte phycoerythrin 545 (Cr-PE 545), and (iv) the inclusion of previously unidentified strain CCMP 3175, which contains Cr-PE 545, in a clade with PC-containing Chroomonas species. A discriminant analysis-based model of group membership correctly predicted 70.6% of the clades using three traits: PBP concentration · cell , the wavelength of PBP maximal absorption, and habitat. Non-PBP pigments (alloxanthin, chl-a, chl-c , α-carotene) did not contribute significantly to group classification, indicating the potential plasticity of these pigments and the evolutionary conservation of the PBPs. Pigment data showed evidence of trade-offs in investments in PBPs vs. chlorophylls (a +c ).
对 34 株具有不同色素的海洋和淡水隐藻的光捕获表型特征和系统发育关系进行了研究。对其中 33 株的核 SSU 和部分 LSU rDNA 序列数据以及另外 66 株的序列数据进行了拼接,构建了一个基于最大似然法的有根树,将这些菌株分为 7 个不同的分支。分子和表型数据共同支持:(i) 将不规则Cryptomonas NIES 698 重新分类为 Rhodomonas 属,(ii) 将 Hemiselmis 属中的藻胆蛋白(PBP)多样性修订为包括隐藻藻蓝蛋白(Cr-PC)569,(iii) 将之前未鉴定的 CCMP 2293 菌株归入 Falcomonas 属,尽管它含有隐藻藻红蛋白 545(Cr-PE 545),以及 (iv) 将之前未鉴定的 CCMP 3175 菌株归入含有 PC 的 Chroomonas 种的分支中,尽管它含有 Cr-PE 545。基于判别分析的模型,使用三个特征(PBP 浓度·细胞、PBP 最大吸收波长和生境)正确预测了 70.6%的分支。非 PBP 色素(别藻黄素、chl-a、chl-c、α-胡萝卜素)对分组分类没有显著贡献,表明这些色素具有潜在的可变性,以及 PBPs 的进化保守性。色素数据表明,在 PBP 与叶绿素(a +c)的投资之间存在权衡。