MICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
MaIAGE, INRA, Université Paris-Saclay, Jouy-en-Josas, France.
PLoS One. 2018 Sep 25;13(9):e0204629. doi: 10.1371/journal.pone.0204629. eCollection 2018.
Meat and seafood spoilage ecosystems harbor extensive bacterial genomic diversity that is mainly found within a small number of species but within a large number of strains with different spoilage metabolic potential. To decipher the intraspecies diversity of such microbiota, traditional metagenetic analysis using the 16S rRNA gene is inadequate. We therefore assessed the potential benefit of an alternative genetic marker, gyrB, which encodes the subunit B of DNA gyrase, a type II DNA topoisomerase. A comparison between 16S rDNA-based (V3-V4) amplicon sequencing and gyrB-based amplicon sequencing was carried out in five types of meat and seafood products, with five mock communities serving as quality controls. Our results revealed that bacterial richness in these mock communities and food samples was estimated with higher accuracy using gyrB than using16S rDNA. However, for Firmicutes species, 35% of putative gyrB reads were actually identified as sequences of a gyrB paralog, parE, which encodes subunit B of topoisomerase IV; we therefore constructed a reference database of published sequences of both gyrB and pare for use in all subsequent analyses. Despite this co-amplification, the deviation between relative sequencing quantification and absolute qPCR quantification was comparable to that observed for 16S rDNA for all the tested species. This confirms that gyrB can be used successfully alongside 16S rDNA to determine the species composition (richness and evenness) of food microbiota. The major benefit of gyrB sequencing is its potential for improving taxonomic assignment and for further investigating OTU richness at the subspecies level, thus allowing more accurate discrimination of samples. Indeed, 80% of the reads of the 16S rDNA dataset were represented by thirteen 16S rDNA-based OTUs that could not be assigned at the species-level. Instead, these same clades corresponded to 44 gyrB-based OTUs, which differentiated various lineages down to the subspecies level. The increased ability of gyrB-based analyses to track and trace phylogenetically different groups of strains will generate improved resolution and more reliable results for studies of the strains implicated in food processes.
肉和海鲜腐败生态系统中存在广泛的细菌基因组多样性,这些多样性主要存在于少数几个物种中,但存在大量具有不同腐败代谢潜力的菌株。为了解译这种微生物群落的种内多样性,使用 16S rRNA 基因的传统宏基因组分析是不够的。因此,我们评估了替代遗传标记 gyrB 的潜力,gyrB 编码 DNA 拓扑异构酶 II 的 B 亚基。我们在五种类型的肉和海鲜产品中进行了基于 16S rDNA(V3-V4)扩增子测序和基于 gyrB 的扩增子测序的比较,五个模拟群落作为质量控制。我们的结果表明,使用 gyrB 比使用 16S rDNA 更能准确估计这些模拟群落和食品样本中的细菌丰富度。然而,对于厚壁菌门物种,实际上有 35%的假定 gyrB 读长被鉴定为拓扑异构酶 IV 的 B 亚基 gyrB 旁系同源物 parE 的序列;因此,我们构建了 gyrB 和 pare 发表序列的参考数据库,用于所有后续分析。尽管存在这种共扩增,但相对测序定量和绝对 qPCR 定量之间的偏差与所有测试物种的 16S rDNA 观察到的偏差相当。这证实了 gyrB 可以与 16S rDNA 一起成功用于确定食品微生物群落的物种组成(丰富度和均匀度)。gyrB 测序的主要优势在于其改进分类分配和进一步调查亚种水平的 OTU 丰富度的潜力,从而可以更准确地区分样本。实际上,16S rDNA 数据集的 80%的读长由 13 个不能在种水平上分配的基于 16S rDNA 的 OTU 表示。相反,这些相同的分支对应于 44 个基于 gyrB 的 OTU,这些 OTU 将各种谱系区分到亚种水平。基于 gyrB 的分析能够跟踪和追踪在系统发育上不同的菌株群的能力将提高研究与食品过程相关的菌株的分辨率并产生更可靠的结果。