Estimation of 18S Gene Copy Number in Marine Eukaryotic Plankton Using a Next-Generation Sequencing Approach

被引:106
|
作者
Gong, Weida [1 ]
Marchetti, Adrian [1 ]
机构
[1] Univ N Carolina, Dept Marine Sci, Chapel Hill, NC 27515 USA
关键词
18S rRNA gene; amplicon sequencing; plankton community composition; bioinforrnatics; microbial ecology; READ ALIGNMENT; GENOME; QUANTIFICATION; DIVERSITY; RDNA;
D O I
10.3389/fmars.2019.00219
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The small subunit 18S rRNA (18S) gene is the most commonly used marker for taxonomic identification in eukaryotes. However, protists may harbor substantial variation in their 18S gene copy number, which can lead to a rapid decline in concordance between 18S gene sequences and actual organismal abundances. Here we used a computational method to estimate 18S gene copy number in seven species of marine eukaryotic phytoplankton and found large interspecies and strain-level differences across and within the examined species. Our results emphasize that variations in 18S gene copy number need to be taken into consideration and that corrections can improve the accuracy of quantitative eukaryotic microbial community profiles.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Copy number variant detection using next-generation sequencing in EYS-associated retinitis pigmentosa
    Hiraoka, Masakazu
    Urakawa, Yusaku
    Kawai, Kanako
    Yoshida, Akiko
    Hosakawa, Junichi
    Takazawa, Masaki
    Inaba, Akira
    Yokota, Satoshi
    Hirami, Yasuhiko
    Takahashi, Masayo
    Ohara, Osamu
    Kurimoto, Yasuo
    Maeda, Akiko
    PLOS ONE, 2024, 19 (06):
  • [32] Analysis of Chromosomal Copy Number in First-Trimester Pregnancy Loss Using Next-Generation Sequencing
    Fan, Lei
    Wu, Jianli
    Wu, Yuanyuan
    Shi, Xinwei
    Xin, Xing
    Li, Shufang
    Zeng, Wanjiang
    Deng, Dongrui
    Feng, Ling
    Chen, Suhua
    Xiao, Juan
    FRONTIERS IN GENETICS, 2020, 11
  • [33] Estimating copy number using next-generation sequencing to determine ERBB2 amplification status
    Nakamura, Kohei
    Aimono, Eriko
    Oba, Junna
    Hayashi, Hideyuki
    Tanishima, Shigeki
    Hayashida, Tetsu
    Chiyoda, Tatsuyuki
    Kosaka, Takeo
    Hishida, Tomoyuki
    Kawakubo, Hirohumi
    Kitago, Minoru
    Okabayashi, Koji
    Funakoshi, Takeru
    Okita, Hajime
    Ikeda, Sadakatsu
    Takaishi, Hiromasa
    Nishihara, Hiroshi
    MEDICAL ONCOLOGY, 2021, 38 (04)
  • [34] Detection of genome-wide copy number variants in myeloid malignancies using next-generation sequencing
    Shen, Wei
    Paxton, Christian N.
    Szankasi, Philippe
    Longhurst, Maria
    Schumacher, Jonathan A.
    Frizzell, Kimberly A.
    Sorrells, Shelly M.
    Clayton, Adam L.
    Jattani, Rakhi P.
    Patel, Jay L.
    Toydemir, Reha
    Kelley, Todd W.
    Xu, Xinjie
    JOURNAL OF CLINICAL PATHOLOGY, 2018, 71 (04) : 372 - 378
  • [35] Hereditary spherocytosis caused by copy number variation in SPTB gene identified through targeted next-generation sequencing
    Woori Jang
    Jiyeon Kim
    Hyojin Chae
    Myungshin Kim
    Kyung-Nam Koh
    Chan-Jeoung Park
    Yonggoo Kim
    International Journal of Hematology, 2019, 110 : 250 - 254
  • [36] Hereditary spherocytosis caused by copy number variation in SPTB gene identified through targeted next-generation sequencing
    Jang, Woori
    Kim, Jiyeon
    Chae, Hyojin
    Kim, Myungshin
    Koh, Kyung-Nam
    Park, Chan-Jeoung
    Kim, Yonggoo
    INTERNATIONAL JOURNAL OF HEMATOLOGY, 2019, 110 (02) : 250 - 254
  • [37] A shortest path-based approach for copy number variation detection from next-generation sequencing data
    Liu, Guojun
    Yang, Hongzhi
    Yuan, Xiguo
    FRONTIERS IN GENETICS, 2023, 13
  • [38] A Novel Next-Generation Sequencing-Based Approach for Concurrent Detection of Mitochondrial DNA Copy Number and Mutation
    Zhou, Kaixiang
    Mo, Qinqin
    Guo, Shanshan
    Liu, Yang
    Yin, Chun
    Ji, Xiaoying
    Guo, Xu
    Xing, Jinliang
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2020, 22 (12): : 1408 - 1418
  • [39] Algorithmic improvements for discovery of germline copy number variants in next-generation sequencing data
    Brendan O’Fallon
    Jacob Durtschi
    Ana Kellogg
    Tracey Lewis
    Devin Close
    Hunter Best
    BMC Bioinformatics, 23
  • [40] HBOS-CNV: A New Approach to Detect Copy Number Variations From Next-Generation Sequencing Data
    Guo, Yang
    Wang, Shuzhen
    Yuan, Xiguo
    FRONTIERS IN GENETICS, 2021, 12