title: Statistical or biological significance?
abstract: Oat plants grown at an agricultural research facility produce higher yields in Field 1 than in Field 2, under well fertilised conditions and with similar weather exposure; all oat plants in both fields are healthy and show no sign of disease. In this study, the authors hypothesised that the soil microbial community might be different in each field, and these differences might explain the difference in oat plant growth. They carried out a metagenomic analysis of the 16 s ribosomal 'signature' sequences from bacteria in 50 randomly located soil samples in each field to determine the composition of the bacterial community. The study identified >1000 species, most of which were present in both fields. The authors identified two plant growth-promoting species that were significantly reduced in soil from Field 2 (Student's t-test P < 0.05), and concluded that these species might have contributed to reduced yield.
authors.affiliation: BMC Biology, BioMed Central, 236 Gray's Inn Road, London, WC1X 8HB, UK. BMCBiologyEditorial@biomedcentral.com.
authors.forename: Emma
authors.initials: E
authors.lastname: Saxon
mesh_terms: D018554:Avena / Q000254:growth & development* / Q000382:microbiology; D001419:Bacteria / Q000145:classification / Q000302:isolation & purification; D018407:Bacterial Physiological Phenomena; D008954:Models, Biological; D015233:Models, Statistical; D012336:RNA, Ribosomal, 16S / Q000032:analysis; D012988:Soil Microbiology
chemical_list: D012336:RNA, Ribosomal, 16S