Common approaches to analyzing DNA from a community of microbes, called a microbiome, can yield erroneous results, in large part due to the incomplete databases used to identify microbial DNA sequences. A team led by Aiese Cigliano of Sequentia Biotech SL and Clemente Fernandez Arias and Federica Bertocchini of the Centro de Investigaciones Biologicas Margarita Salas report these findings in a paper published February 8 in the open-access journal PLOS ONE.
Click here for original story, Current microbiome analyses may falsely detect species that are not actually present
Source: Phys.org