Analysis of endophytic bacterial community of different varieties of peas

In order to clarify the difference of endophytic bacterial community composition of hemp pea (MW), green pea (LW), and white pea (BW), the composition and diversity of endophytic bacterial communities in the different varieties of peas samples (MW1, MW2, MW3, LW1, BW1) were analyzed using Illumina MiSeq high-throughput sequencing technology, the metabolic functions of bacterial communities were predicted by PICRUSt2 algorithm. The results showed that MW2, MW3, LW1, BW1 had similar bacterial community composition, with MW1 had the highest bacterial community richness. A total of 46 bacterial genera were detected in three varieties of pea samples, the dominant bacterial genera with higher relative abundance in MW1 were Pseudomonas, unclassified_Xanthomonadaceae, and Lactobacillus, while the dominant bacterial genera with higher relative abundance in MW2, MW3, LW1 and BW1 were norank_Muribaculaceae, Ligilactobacillus and Pseudomonas. Pseudomonas was the absolutely dominant genus in all samples. The composition and abundance of the dominant endophytic bacterial genera in the MW1 sample showed significant differences from the other varieties. Linear discriminant analysis effect size (LEfSe) analysis results showed that the most important differential bacterial group in BW was Caulobacterales, the most important differentially expressed bacterial genus in MW was Acinetobacter. In addition, the results of functional prediction results indicated that the gene functions of pea bacterial communities were mainly related to the functions of carbohydrate metabolism and amino acid metabolism. The study revealed the difference in the composition and diversity of endophytic bacterial communities among different varieties of pea, and provided a theoretical basis for the selection of pea as raw material for Daqu.