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Reviewer Comments - EERE

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2011 Algae Platform Review – <strong>Reviewer</strong> <strong>Comments</strong><br />

<strong>Reviewer</strong> <strong>Comments</strong> are direct transcripts of commentary and material provided by the Platform’s<br />

Review Panel. They have not been edited or altered by the Biomass Program.<br />

Presenter Response<br />

The proposed research has two goals. The first is the development of a system for the rapid identification<br />

of unknown agents by high throughput sequencing. The second is the development of a set of assays to<br />

detect the etiological agents, once identified, at low concentration (a "dipstick" assay for example). We do<br />

not propose to use high throughput sequencing as an everyday detection methodology as suggested a<br />

reviewer.<br />

There are several lines of evidence that implicate biological agents in pond crashes. The detrimental effect<br />

of protozoan grazers on mass algal culture has been well documented (Lincoln et al Aquaculture 1983,<br />

32:331-337 ). The role of other algal pathogens such as bacteria and viruses in production ponds has not<br />

be as well documented, likely because they are not readily detectable by microscopic analysis. However,<br />

in the study of natural blooms, there has been a number of recent reports of novel algal viruses and<br />

evidence of the important role that they play in the demise of a bloom (Lange et al FEMS Microbiol Rev,<br />

2009, 33: 295-323). In addition, bacterial (Mayali and Azam J. Eukaryot Microbiol, 2004, 51:139-144)<br />

and fungal pathogens Jia et al Ecological Engineer. 2010 36:1389-1391) have also been identified that<br />

affect algae viability and may limit or contribute to the demise of blooms . Given the fact that these<br />

agents impact algal biomass levels in natural systems it is not unreasonable to expect that they can have<br />

an affect in algal production ponds (Gachon et al Trends in Plant Science, 2010, 15: 633-640; Stephens et<br />

al Trends in Plant Science 2010, 15:554-564). The strength of the our approach is that it is not limited to<br />

detection of known agents. The methods for enrichment and characterization of nucleic acids from<br />

unknown etiological agents are applicable to the broad spectrum of potential agents (viral, bacterial,<br />

fungal, protozoan) and also to the detection and quantification of invasive or "weed" algal species.<br />

There are pond crashes that are induced strictly by the physiochemical parameters (pH, temperature,<br />

nutrient levels etc). It is also clear that there are pond crashes in which biological agents play a necessary<br />

(if not sufficient) role and that the effect of these biological agents can indeed be modulated by the<br />

physiochemical parameters. Fortunately many of the physiochemical parameters can be readily measured<br />

and it has always been the goal of this project to collect and include such data in our analyses.<br />

Unfortunately, the detection and quantification of biological agents which may play a role in pond<br />

instability is not as straightforward and this is the gap that this project intends to fill. It is our intent to<br />

study both crashed and un-crashed parallel ponds with the un-crashed ponds serving as negative controls.<br />

We will also utilize pre- and post-crash samples from the same pond as a source of controls. It is also a<br />

goal of the project to isolate, when present and possible, the etiological agent of the crash, recapitulate the<br />

crash, and to determine how physiochemical parameters modulate the ability of the agent to cause a crash.<br />

In terms of positive controls, there are several known algal pathogens (various phycoviruses, bacterial<br />

agents and predators (rotifers and other protozoa). Many of these agents are already in use in our<br />

laboratories for methods development and are intended for use as positive controls.<br />

We believe that there is insufficient data publicly available to carry out the failure mode and effects<br />

analysis, suggested by one reviewer. The current inability to detect and quantify biological agents (aside<br />

from grazers) precludes the determination of the fraction of pond crashes with pathogenic causes.<br />

Finalization of a number of protocols such as those for such as sampling and storage is an early research<br />

goal and we are converging on an appropriate solution.<br />

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