澳大利亚蔬菜种植区植物支原体多样性的元基因组调查。

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
Bianca Rodrigues Jardim, Cherie Gambley, Lucy T T Tran-Nguyen, Craig Webster, Monica Kehoe, Wycliff M Kinoti, Samantha Bond, Richard Davis, Lynne Jones, Nandita Pathania, Murray Sharman, Toni Chapman, Brendan C Rodoni, Fiona E Constable
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引用次数: 0

摘要

本研究利用元基因组测序数据调查了澳大利亚各地蔬菜种植区的植原体分类多样性。元基因组测序对 195 份植原体阳性样本进行了测序,这些样本或来自历史采集(样本数=46),或来自 2015 年 1 月至 2022 年 6 月期间的采集工作(样本数=149)。采样宿主分为作物(n=155)、杂草(n=24)、观赏植物(n=7)、本地植物(n=6)和昆虫(n=3)。大多数样本来自昆士兰州(样本数=78),其次是西澳大利亚州(样本数=46)、北部地区(样本数=32)、新南威尔士州(样本数=17)和维多利亚州(样本数=10)。在 195 个植物支原体基因组草案中,有 178 个符合我们使用平均核苷酸同一性方法进行比较的基因组标准。共鉴定出 10 个不同的植原体物种,可归入 16SrII、16SrXII(仅 PCR)、16SrXXV 和 16SrXXXVIII 植原体群,这些植原体以前在澳大利亚都有记录。本研究中最常检测到的植原体类群是 16SrII 组中的种和亚种(n=153),其次是 16SrXXXVIII 组中的菌株("Ca. Phytoplasma stylosanthis";n=6)。有报告称,16SrII类群和'Ca. Phytoplasma stylosanthis'混合感染的植原体在地理和宿主范围上有所扩大。Phytoplasma stylosanthis'混合感染。此外,还发现了 6 个以前未记录的 16SrII 类群,包括'Ca.Phytoplasma australasiaticum'的五个推定亚种和一个新的推定 16SrII 种。16S rRNA 基因的聚合酶链式反应(PCR)和测序是初步检测植物支原体的合适工具。不过,与直接对 16S rRNA 基因进行桑格测序相比,元基因组测序能更高分辨率地鉴定植原体,包括混合感染。由于元基因组方法理论上可以获得样本中所有生物的序列,因此这种方法有助于确认宿主的科、属和/或种。除了增进我们对影响澳大利亚农作物生产的植物支原体种类的了解外,该研究还大大扩展了公共序列库中的基因组序列数据,有助于植物支原体分子流行病学研究、分类学修订和诊断改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A metagenomic investigation of phytoplasma diversity in Australian vegetable growing regions.

In this study, metagenomic sequence data was used to investigate the phytoplasma taxonomic diversity in vegetable-growing regions across Australia. Metagenomic sequencing was performed on 195 phytoplasma-positive samples, originating either from historic collections (n=46) or during collection efforts between January 2015 and June 2022 (n=149). The sampled hosts were classified as crop (n=155), weed (n=24), ornamental (n=7), native plant (n=6), and insect (n=3) species. Most samples came from Queensland (n=78), followed by Western Australia (n=46), the Northern Territory (n=32), New South Wales (n=17), and Victoria (n=10). Of the 195 draft phytoplasma genomes, 178 met our genome criteria for comparison using an average nucleotide identity approach. Ten distinct phytoplasma species were identified and could be classified within the 16SrII, 16SrXII (PCR only), 16SrXXV, and 16SrXXXVIII phytoplasma groups, which have all previously been recorded in Australia. The most commonly detected phytoplasma taxa in this study were species and subspecies classified within the 16SrII group (n=153), followed by strains within the 16SrXXXVIII group ('Ca. Phytoplasma stylosanthis'; n=6). Several geographic- and host-range expansions were reported, as well as mixed phytoplasma infections of 16SrII taxa and 'Ca. Phytoplasma stylosanthis'. Additionally, six previously unrecorded 16SrII taxa were identified, including five putative subspecies of 'Ca. Phytoplasma australasiaticum' and a new putative 16SrII species. PCR and sequencing of the 16S rRNA gene was a suitable triage tool for preliminary phytoplasma detection. Metagenomic sequencing, however, allowed for higher-resolution identification of the phytoplasmas, including mixed infections, than was afforded by only direct Sanger sequencing of the 16S rRNA gene. Since the metagenomic approach theoretically obtains sequences of all organisms in a sample, this approach was useful to confirm the host family, genus, and/or species. In addition to improving our understanding of the phytoplasma species that affect crop production in Australia, the study also significantly expands the genomic sequence data available in public sequence repositories to contribute to phytoplasma molecular epidemiology studies, revision of taxonomy, and improved diagnostics.

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来源期刊
Microbial Genomics
Microbial Genomics Medicine-Epidemiology
CiteScore
6.60
自引率
2.60%
发文量
153
审稿时长
12 weeks
期刊介绍: Microbial Genomics (MGen) is a fully open access, mandatory open data and peer-reviewed journal publishing high-profile original research on archaea, bacteria, microbial eukaryotes and viruses.
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