Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes

Liebe S, Wibberg D, Winkler A, Pühler A, Schlüter A, Varrelmann M (2016)
FEMS Microbiology Ecology 92(2): fiw004.

Journal Article | Published | English

No fulltext has been uploaded

Author
Abstract
Post-harvest colonization of sugar beets accompanied by rot development is a serious problem due to sugar losses and negative impact on processing quality. Studies on the microbial community associated with rot development and factors shaping their structure are missing. Therefore, high-throughput sequencing was applied to describe the influence of environment, plant genotype and storage temperature (8 degrees C and 20 degrees C) on three different communities in stored sugar beets, namely fungi (internal transcribed spacers 1 and 2), Fusarium spp. (elongation factor-1 alpha gene fragment) and oomycetes (internal transcribed spacers 1). The composition of the fungal community changed during storage mostly influenced by the storage temperature followed by a weak environmental effect. Botrytis cinerea was the prevalent species at 8 degrees C whereas members of the fungal genera Fusarium and Penicillium became dominant at 20 degrees C. This shift was independent of the plant genotype. Species richness within the genus Fusarium also increased during storage at both temperatures whereas the oomycetes community did not change. Moreover, oomycetes species were absent after storage at 20 degrees C. The results of the present study clearly show that rot development during sugar beet storage is associated with pathogens well known as causal agents of post-harvest diseases in many other crops.
Publishing Year
ISSN
eISSN
PUB-ID

Cite this

Liebe S, Wibberg D, Winkler A, Pühler A, Schlüter A, Varrelmann M. Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes. FEMS Microbiology Ecology. 2016;92(2): fiw004.
Liebe, S., Wibberg, D., Winkler, A., Pühler, A., Schlüter, A., & Varrelmann, M. (2016). Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes. FEMS Microbiology Ecology, 92(2): fiw004.
Liebe, S., Wibberg, D., Winkler, A., Pühler, A., Schlüter, A., and Varrelmann, M. (2016). Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes. FEMS Microbiology Ecology 92:fiw004.
Liebe, S., et al., 2016. Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes. FEMS Microbiology Ecology, 92(2): fiw004.
S. Liebe, et al., “Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes”, FEMS Microbiology Ecology, vol. 92, 2016, : fiw004.
Liebe, S., Wibberg, D., Winkler, A., Pühler, A., Schlüter, A., Varrelmann, M.: Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes. FEMS Microbiology Ecology. 92, : fiw004 (2016).
Liebe, Sebastian, Wibberg, Daniel, Winkler, Anika, Pühler, Alfred, Schlüter, Andreas, and Varrelmann, Mark. “Taxonomic analysis of the microbial community in stored sugar beets using high-throughput sequencing of different marker genes”. FEMS Microbiology Ecology 92.2 (2016): fiw004.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Search this title in

Google Scholar