Inference of interactions in cyanobacterial-heterotrophic co-cultures via transcriptome sequencing

Abstract:

We used deep sequencing technology to identify transcriptional adaptation of the euryhaline unicellular cyanobacterium Synechococcus sp. PCC 7002 and the marine facultative aerobe Shewanella putrefaciens W3-18-1 to growth in a co-culture and infer the effect of carbon flux distributions on photoautotroph-heterotroph interactions. The overall transcriptome response of both organisms to co-cultivation was shaped by their respective physiologies and growth constraints. Carbon limitation resulted in the expansion of metabolic capacities, which was manifested through the transcriptional upregulation of transport and catabolic pathways. Although growth coupling occurred via lactate oxidation or secretion of photosynthetically fixed carbon, there was evidence of specific metabolic interactions between the two organisms. These hypothesized interactions were inferred from the excretion of specific amino acids (for example, alanine and methionine) by the cyanobacterium, which correlated with the downregulation of the corresponding biosynthetic machinery in Shewanella W3-18-1. In addition, the broad and consistent decrease of mRNA levels for many Fe-regulated Synechococcus 7002 genes during co-cultivation may indicate increased Fe availability as well as more facile and energy-efficient mechanisms for Fe acquisition by the cyanobacterium. Furthermore, evidence pointed at potentially novel interactions between oxygenic photoautotrophs and heterotrophs related to the oxidative stress response as transcriptional patterns suggested that Synechococcus 7002 rather than Shewanella W3-18-1 provided scavenging functions for reactive oxygen species under co-culture conditions. This study provides an initial insight into the complexity of photoautotrophic-heterotrophic interactions and brings new perspectives of their role in the robustness and stability of the association.

SEEK ID: https://emsl-seek.pnnl.gov/publications/5

PubMed ID: 24781900

Projects: Adaptive Responses, Energy and Material Processing, Microbial Community Dynamics

Publication type: Not specified

Journal: ISME J

Citation:

Date Published: 29th Apr 2014

Registered Mode: Not specified

Authors: A. S. Beliaev, , M. Serres, Hans Bernstein, B. E. Linggi, , N. G. Isern, , L. A. Kucek, E. A. Hill, G. E. Pinchuk, D. A. Bryant, , , A. Konopka

help Submitter
Activity

Views: 9469

Created: 13th Jan 2015 at 19:17

help Attributions

None

Powered by
(v.1.12.2)
Copyright © 2008 - 2022 The University of Manchester and HITS gGmbH