Gao Yue, Chen Youjun, Luo Yang, Liu Junying, Tian Pei, Nan Zhibiao, Zhou Qingping
State Key Laboratory of Grassland Agro-Ecosystems, Lanzhou University, Lanzhou, China.
Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Lanzhou University, Lanzhou, China.
Front Microbiol. 2022 Aug 3;13:956489. doi: 10.3389/fmicb.2022.956489. eCollection 2022.
A total of 14 seed lots were collected from different geographical locations on the Qinghai-Tibet Plateau to study the seed microbiota and determine the abiotic (temperature, precipitation, and elevation) and biotic ( infection rate) factors likely to shape the seed microbiome. The 14 seed lots had different bacterial and fungal structures and significantly different diversities ( < 0.05). The α-diversity indices of the bacteria were significantly correlated with precipitation ( < 0.05), whereas those of the fungi were significantly correlated with temperature ( < 0.05). Microbiota analysis showed that Proteobacteria, Cyanobacteria, and Bacteroidetes were the most abundant bacteria at the phylum level in the seeds, and Ascomycota and Basidiomycota were the most abundant fungi. β-diversity analysis suggested large differences in the microbial communities of each sample. Redundancy analysis showed that temperature and precipitation were the main environmental factors that drive variations in the microbial community, at the medium-high elevation (3,000-4,500 m), the impact of temperature and precipitation on microbial community is different, and the other elevations that effect on microbial community were basically identical. Spearman's correlation analysis showed that the relative abundances of the most abundant bacterial phyla were significantly correlated with temperature ( < 0.05), whereas those of the most abundant fungal phyla were significantly correlated with precipitation ( < 0.05). infection rates were significantly correlated with elevation and temperature ( < 0.05). These results suggest that temperature and precipitation are the key factors driving the microbial community, that temperature and elevation also had a great influence on the infection rate, and that environmental factors (temperature and elevation) may further affect the microbial community by regulating the infection rate.
共从青藏高原不同地理位置收集了14个种子批次,以研究种子微生物群,并确定可能塑造种子微生物组的非生物因素(温度、降水和海拔)和生物因素(感染率)。这14个种子批次具有不同的细菌和真菌结构,且多样性存在显著差异(<0.05)。细菌的α多样性指数与降水量显著相关(<0.05),而真菌的α多样性指数与温度显著相关(<0.05)。微生物群分析表明,种子中门水平上最丰富的细菌是变形菌门、蓝细菌门和拟杆菌门,最丰富的真菌是子囊菌门和担子菌门。β多样性分析表明每个样本的微生物群落存在很大差异。冗余分析表明,温度和降水是驱动微生物群落变化的主要环境因素,在中高海拔(3000 - 4500米),温度和降水对微生物群落的影响不同,而对微生物群落有影响的其他海拔基本相同。Spearman相关性分析表明,最丰富细菌门的相对丰度与温度显著相关(<0.05),而最丰富真菌门的相对丰度与降水显著相关(<0.05)。感染率与海拔和温度显著相关(<0.05)。这些结果表明,温度和降水是驱动微生物群落的关键因素,温度和海拔对感染率也有很大影响,并且环境因素(温度和海拔)可能通过调节感染率进一步影响微生物群落。