Lei J, Lü W, Wang W, Wang H, Guo X, Cheng P, Gong M, Liu L
Shandong Institute of Parasitic Diseases; Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, Shandong 272033, China.
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2024 Apr 2;36(1):52-58. doi: 10.16250/j.32.1374.2023204.
To investigate the microbiota composition and diversity between autogenous and anautogenous , so as to provide insights into unraveling the pathogenesis of autogeny in .
Autogenous and anautogenous adult samples were collected at 25 ℃, and the hypervariable regions of the microbial 16S ribosomal RNA () gene was sequenced on the Illumina NovaSeq 6000 sequencing platform. The microbiota abundance and diversity were evaluated using the alpha diversity index, and the difference in the microbiota structure was examined using the beta diversity index. The microbiota with significant differences in the abundance between autogenous and anautogenous adult samples was identified using the linear discriminant analysis effect size (LEfSe).
The microbiota in autogenous and anautogenous samples belonged to 18 phyla, 28 classes, 70 orders, 113 families, and 170 genera, and the dominant phyla included Proteobacteria, Bacteroidetes, and so on. At the genus level, was a common dominant genus, and the relative abundance was (77.6 ± 11.3)% in autogenous samples and (47.5 ± 8.5)% in anautogenous mosquito samples, while (0.4% ± 0.1%), (0.5% ± 0.0%) and (0.5% ± 0.1%) were specific species in autogenous samples. Alpha diversity analysis showed that higher Chao1 index and ACE index in autogenous samples than in anautogenous samples (both values > 0.05), and lower Shannon index ( > 0.05) and Simpson index ( < 0.05) in autogenous samples than in anautogenous samples. LEfSe analysis showed a total of 48 significantly different taxa between autogenous and anautogenous samples (all values < 0.05).
There is a significant difference in the microbiota diversity between autogenous and anautogenous .
研究自育型和非自育型之间的微生物群组成和多样性，以便为揭示自育现象的发病机制提供见解。
在25℃下采集自育型和非自育型成年样本，在Illumina NovaSeq 6000测序平台上对微生物16S核糖体RNA（rRNA）基因的高变区进行测序。使用α多样性指数评估微生物群的丰度和多样性，使用β多样性指数检查微生物群结构的差异。使用线性判别分析效应大小（LEfSe）确定自育型和非自育型成年样本中丰度存在显著差异的微生物群。
自育型和非自育型样本中的微生物群属于18个门、28个纲、70个目、113个科和170个属，优势门包括变形菌门、拟杆菌门等。在属水平上，是常见的优势属，在自育型样本中的相对丰度为（77.6±11.3）%，在非自育型蚊子样本中的相对丰度为（47.5±8.5）%，而（0.4%±0.1%）、（0.5%±0.）和（0.5%±0.1%）是自育型样本中的特定物种。α多样性分析表明，自育型样本中的Chao1指数和ACE指数高于非自育型样本（两者P值>0.05），自育型样本中的香农指数（P>0.05）和辛普森指数（P<0.05）低于非自育型样本。LEfSe分析表明，自育型和非自育型样本之间共有48个分类单元存在显著差异（所有P值<0.05）。
自育型和非自育型之间的微生物群多样性存在显著差异。
