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Identifying seaweeds species of Chlorophyta, Phaeophyta and Rhodophyta using DNA barcodes
bioRxiv - Plant Biology Pub Date : 2021-10-21 , DOI: 10.1101/2020.08.30.274456
Narra Prasanthi , Chinnamani Prasannakumar , D. Annadurai , S. Mahendran , A. H. Mohammed Alshehri

Strengthening the DNA barcode database is important for a species level identification, which was lacking for seaweeds. We made an effort to collect and barcode seaweeds occurring along Southeast coast of India. We barcoded 31 seaweeds species belonging to 21 genera, 14 family, 12 order of 3 phyla (viz., Chlorophyta, Phaeophyta and Rhodophyta). We found 10 species in 3 phyla and 2 genera (Anthophycus and Chnoospora) of Phaeophyta were barcoded for the first time. Uncorrected p-distance calculated using K2P, nucleotide diversity and Tajima’s test statistics reveals highest values among the species of Chlorophyta. Over all K2P distance was 0.36. The present study revealed the potentiality of rbcL gene sequences in identification of all 3 phyla of seaweeds. We also found that the present barcode reference libraries (GenBank and BOLD) were insufficient in seaweeds identification and more efforts were needed for strengthening local seaweed barcode library to benefit rapids developing field such as environmental DNA barcoding. We also show that the constructed barcode library could aid various industrial experts involved in seaweed bio-resource exploration and taxonomy/non-taxonomic researches involved in climate, agriculture and epigenetics research in precise seaweed identification. Since the rise of modern high-throughput sequencing technologies is significantly altering bio-monitoring applications and surveys, reference datasets such as ours will become essential in ecosystem’s health assessment and monitoring.

中文翻译:

使用 DNA 条形码识别叶藻、褐藻和红藻的海藻种类

加强 DNA 条形码数据库对于海藻缺乏的物种级别鉴定很重要。我们努力收集印度东南沿海的海藻并对其进行条形码处理。我们对属于 21 属、14 科、12 目 3 门(,叶藻门、褐藻门和红藻门)的 31 种海藻进行了编码。我们在 3 门和 2 属(AnthophycusChnoospora )中发现了 10 种) 的 Phaeophyta 首次被条形码化。使用 K2P、核苷酸多样性和 Tajima 的测试统计计算的未校正 p 距离显示了叶绿纲物种中的最高值。总体而言,K2P 距离为 0.36。本研究揭示了 rbcL 基因序列在鉴定所有 3 个海藻门中的潜力。我们还发现,现有的条码参考库(GenBank 和 BOLD)在海藻识别方面存在不足,需要进一步加强当地海藻条码库,以惠及环境 DNA 条码等急流发展领域。我们还表明,构建的条形码库可以帮助参与海藻生物资源勘探和涉及气候的分类学/非分类学研究的各种行业专家,精确海藻鉴定中的农业和表观遗传学研究。由于现代高通量测序技术的兴起正在显着改变生物监测应用和调查,像我们这样的参考数据集将在生态系统的健康评估和监测中变得必不可少。
更新日期:2021-10-24
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