New PhotosynQ Related Publication

Check out the new publication in Nature Communications Biology, using the MultispeQ and PhotosynQ Platform (10.1038/s42003-019-0561-9)

Overexpression of the Rieske FeS protein of the Cytochrome b6f complex increases C4 photosynthesis in Setaria viridis.

Maria Ermakova, Patricia E. Lopez-Calcagno, Christine A. Raines, Robert T. Furbank & Susanne von Caemmerer

C4 photosynthesis is characterized by a CO2 concentrating mechanism that operates between mesophyll and bundle sheath cells increasing CO2 partial pressure at the site of Rubisco and photosynthetic efficiency. Electron transport chains in both cell types supply ATP and NADPH for C4 photosynthesis. Cytochrome b6f is a key control point of electron transport in C3 plants. To study whether C4 photosynthesis is limited by electron transport we constitutively overexpressed the Rieske FeS subunit in Setaria viridis. This resulted in a higher Cytochrome b6f content in mesophyll and bundle sheath cells without marked changes in the abundances of other photosynthetic proteins. Rieske overexpression plants showed better light conversion efficiency in both Photosystems and could generate higher proton-motive force across the thylakoid membrane underpinning an increase in CO2 assimilation rate at ambient and saturating CO2 and high light. Our results demonstrate that removing electron transport limitations can increase C4 photosynthesis.


More PhotosynQ related publications are available here

New PhotosynQ Related Publication

Check out the new publication in The Plant Journal, using the MultispeQ and PhotosynQ Platform (10.1111/tpj.14190)

Converging phenomics and genomics to study natural variation in plant photosynthetic efficiency.

Roel F. H. M. van Bezouw, Joost J. B. Keurentjes, Jeremy Harbinson, Mark G. M. Aarts

In recent years developments in plant phenomic approaches and facilities have gradually caught up with genomic approaches. An opportunity lies ahead to dissect complex, quantitative traits when both genotype and phenotype can be assessed at a high level of detail. This is especially true for the study of natural variation in photosynthetic efficiency, for which forward genetics studies have yielded only a little progress in our understanding of the genetic layout of the trait. High‐throughput phenotyping, primarily from chlorophyll fluorescence imaging, should help to dissect the genetics of photosynthesis at the different levels of both plant physiology and development. Specific emphasis should be directed towards understanding the acclimation of the photosynthetic machinery in fluctuating environments, which may be crucial for the identification of genetic variation for relevant traits in food crops. Facilities should preferably be designed to accommodate phenotyping of photosynthesis‐related traits in such environments. The use of forward genetics to study the genetic architecture of photosynthesis is likely to lead to the discovery of novel traits and/or genes that may be targeted in breeding or bio‐engineering approaches to improve crop photosynthetic efficiency. In the near future, big data approaches will play a pivotal role in data processing and streamlining the phenotype‐to‐gene identification pipeline.


More PhotosynQ related publications are available here

PhotosynQ Workshop Recap

On Tuesday April, 30th 2019 the first annual PhotosynQ workshop was held in East Lansing, MI. We would like to thank all the attendees for joining us, for their feedback, participation and making this day a success! It helped us tremendously, understanding what the needs of our community are and how we can support them. Thank you for your support!

After a short welcome, Prabode Weebadde presented how PhotosynQ has developed over the years and announced new products. The PhotosynQ Academic Subscription for the PhotosynQ platform, allowing Projects to be private, as well as CaliQ, a device to calibrate the MultispeQ’s PAR (Photosynthetically Active Radiation) sensor. Both will be available in Q3 this year. He also presented PhotosynQ Enterprise, a separate cloud instance of the PhotosynQ platform, helping enterprises to keep their data private.

Prabode announcing new products coming in Q3
Prabode announcing new products coming in Q3

 

Following the introduction, David Kramer presented an overview of possible use cases and how to use the PhotosynQ platform. Further, he gave an introduction into photosynthesis and the most important photosynthetic parameters that can be measured using the MultispeQ v2.0. Another important part of his presentation was on how to avoid bias when planning and collecting field data.

Dave presenting on comparing experimental approaches
Dave presenting on comparing experimental approaches

 

After that, Sebastian Kuhlgert gave an overview on how to set up a Project using the PhotosynQ platform. The focus was on how to use the MultispeQ in combination with the mobile application to collect measurements successfully together with meta data that can be used to analyze the subsequent dataset more efficiently. He also presented on some of the experiences reported from users who have already collected large amounts of data in the field.

Next, David Kramer started a hands on Project, that allowed all attendees to collect data comparing cowpea plants (Vigna unguiculata) grown in low or bright light. After the data was collected in groups, the analysis tools were presented, doing a “live” data analysis of the data that had just been collected.

Hands on, taking measurements with the MultispeQ for a test Project and subsequent analysis
“Hands on”, taking measurements with the MultispeQ for a test Project and subsequent analysis

 

In the afternoon, the attendees were able to gain a more detailed look into how to create protocols and macros to take measurements, analyzing collected data and on how MultispeQs are calibrated.

Sebastian explaining on how to create protocols for the MultispeQ and build a macro to analyze the data coming from the instrument
Sebastian explaining how to create protocols for the MultispeQ and build a macro to analyze the data coming from the instrument

 

During the last session, Isaac Osei-Bonsu, who collected more than 40,000 measurements at this point, was presenting datasets he had collected using the MultispeQ in combination with the PhotosynQ platform and a new method to account for collection bias he is developing to analyze his massive dataset.

We hope we were able to give insights into how the PhotosynQ platform can accelerate your research and how versatile and flexible it is, when it comes to data collection and analysis. The workshop was intended to be as interactive as possible and we would like to thank all the attendees for their questions and participation!

Feedback from the Workshop

When planning the workshop we wanted to offer a very broad program, that would touch topics that are relevant to experienced as well as inexperienced users and we hope we were able to accomplish that. We would like to thank everyone for giving us such positive feedback as well as providing ideas and requests when it comes to improving the workshop. The most frequent ones are listed below. Please feel free to contact us, if you have more ideas and suggestions.

  1. More insights into how to data analysis, statistical analysis and removing bias from data collection
  2. More details on the theory behind measurements, how to read them and how the instrument works
  3. More training on taking measurements and using the instrument, more time in general

Impressions from the Workshop


All Photos by Annie Barker

Register Today! PhotosynQ Presents the First Annual MultispeQ Hands-On Workshop

Register Today! (limited seating)

Lead by Prof. David Kramer the MultispeQ Hands-On Workshop will improve your knowledge regarding all aspects of the MultispeQ instrument, data collection and interpreting results.

Tue, April 30, 2019
8:00 AM – 5:30 PM EDT

Register Today! (limited seating)

Location
PhotosynQ HQ
325 East Grand River Avenue
Room 300
East Lansing, MI 48823

New Help Center

New Help Center

We have updated the Documentation and redesigned the Help Center. Please visit help.photosynq.org to see what has changed.

We are trying to make the Help Center for PhotosynQ more accessible and provide detailed information on how to use the platform and instruments. This is an ongoing process, as we are trying to document updates to the platform, the mobile and desktop applications as well as including questions you are sending us on various topics. For that reason we have moved the documentation to a new location that will allow faster release cycles.

We are still testing, but soon we will link the documentation everywhere on PhotosynQ. Please go ahead, take a look and let us know what you think.

With this new release we would also like to remind you, that it is possible to make contributions to the documentation and help us improve it as well as help others.

New PhotosynQ Related Publication

Check out the new publication in the journal Crop Science, using the MultispeQ and PhotosynQ Platform (10.2135/cropsci2018.04.0275)

Screening for Heat Tolerance in Phaseolus spp. Using Multiple Methods.

Jesse Traub, Timothy Porch, Muhammad Naeem, Carlos A. Urrea, Greg Austic, James D. Kelly and Wayne Loescher

Common bean (Phaseolus vulgaris L.) is a nutritious crop grown around the world, a staple that provides high levels of protein and iron in the diets of Central and South Americans and East Africans. Heat stress negatively affects common bean seed yields and prevents cultivation in certain areas. Furthermore, under field conditions, heat stress often coincides with and exacerbates drought stress effects. Breeding more heat-tolerant cultivars would stabilize seed yield and open new regions to field production. To support these efforts, we examined a variety of methods for screening large numbers of bean germplasm exposed to heat stress at the vegetative growth stage as opposed to the reproductive stage, which would prolong the screening process. Tepary bean (P. acutifolius A. Gray), a closely related species to common bean, was used as a heat-stress-tolerant check. Plants exposed to day/night temperatures of 45/36°C for 2 d showed measurable signs of heat stress, but tepary bean outperformed the common beans on all stress tolerance measures. Gas exchange, chlorophyll fluorescence, and oxidative stress were only affected by this high temperature and not by temperatures below 45/36°C. Heat stress measurements also correlated well with visual signs of leaf tissue damage. Gradually raising temperatures was useful for screening large number of entries for heat tolerance, but this heat tolerance was only partially related to drought tolerance in the field. Plant breeders can use some of these methods to supplement field data and to further characterize the stress tolerance of bean lines.


More PhotosynQ related publications are available here