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Novel 16S rDNA primers revealed the diversity and habitats-related community structure of sphingomonads in 10 different niches

Abstract

It is believed that sphingomonads are ubiquitously distributed in environments. However detailed information about their community structure and their co-relationship with environmental parameters remain unclear. In this study, novel sphingomonads-specific primers based on the 16S rRNA gene were designed to investigate the distribution of sphingomonads in 10 different niches. Both in silico and in-practice tests on pure cultures and environmental samples showed that Sph384f/Sph701r was an efficient primer set. Illumina MiSeq sequencing revealed that community structures of sphingomonads were significantly different among the 10 samples, although 12 sphingomonad genera were present in all samples. Based on RDA analysis and Monte Carlo permutation test, sphingomonad community structure was significantly correlated with limnetic and marine habitat types. Among these niches, the genus Sphingomicrobium showed strong positive correlation with marine habitats, whereas genera Sphingobium, Novosphingobium, Sphingopyxis, and Sphingorhabdus showed strong positive correlation with limnetic habitats. Our study provided direct evidence that sphingomonads are ubiquitously distributed in environments, and revealed for the first time that their community structure can be correlated with habitats.

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Acknowledgements

This work was supported financially by the National Natural Science Foundation of China (21577121), the 973 Program (2014CB441103) and ZJNSF LY14B070010.

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Correspondence to Yili Huang.

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Huang, Y., Feng, H., Lu, H. et al. Novel 16S rDNA primers revealed the diversity and habitats-related community structure of sphingomonads in 10 different niches. Antonie van Leeuwenhoek 110, 877–889 (2017). https://doi.org/10.1007/s10482-017-0860-4

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  • DOI: https://doi.org/10.1007/s10482-017-0860-4

Keywords

  • Primer design
  • Sphingomonads
  • Illumina sequencing
  • Bacterial diversity
  • Species-habitats correlation