plant physiology

International consortia tackle the global challenge to increase wheat yields at the APPF

Field of ripe wheat

Two international consortia of scientists from the United States, Great Britain, Mexico and Australia are currently carrying out research projects of global importance at the Australian Plant Phenomics Facility’s (APPF) Adelaide node for the International Wheat Yield Partnership (IWYP).

The first research project, Improving Yield by Optimising Energy Use Efficiency, is phenotyping an Excalibur x Kukri RIL population to determine genetics controlling energy use efficiency (EUE) in wheat. The aim is to identify genetic loci and markers to enable breeding of high-yielding germplasm with:

  • low rates of leaf respiratory CO2 released per unit growth,
  • optimised levels of sugars, organic and amino acids for growth, and
  • increased biomass at anthesis.

More than 85-90% of the energy captured by plants is used in high-cost cellular processes, such as transport of nutrients and respiration, meaning about only 10-15% is allocated to yield. Thus, any small gain in energy redistribution and use for a costly process can have a marked positive impact on biomass accumulation and yield.

Improvements in EUE can be achieved at the cell, tissue and whole-plant level, with respiration being a prime target.

“Our initial screening of 138 Australian commercial cultivars revealed a two-fold variation in rates of leaf respiration, three-fold variation in the ratio of respiration to growth rate during early development, and significant heritability of 35%. This demonstrates there is untapped genetic variation in EUE amenable to fine-tuning and optimisation of biomass accumulation in the lead-up to anthesis, with concomitant positive knock-on effects on yield”, said Australian National University’s Barry Pogson, Project Lead and Director of the ARC Centre of Excellence in Plant Energy Biology (AUS).

The project has partners at University of Western Australia (AUS), CIMMYT (MEX) and  the University of Adelaide (AUS).

The second research project, AVP1, PSTOL1 and NAS – Three High-Value Genes for Higher Wheat Yield, aims to enhance wheat yield by exploiting and building synergy of three high value genes (AVP1, PSTOL1 and NAS) and enabling molecular breeding by:

  • developing two-gene and three-gene pyramiding combinations of AVP1, PSTOL1 and NAS using available transgenic wheat lines and quantifying the additive effects on yield in multi-location field and greenhouse trials (as a proof of concept),
  • identifying wheat orthologs and allelic variants of TaAVP1, TaPSTOL1 and TaNAS, and designing molecular markers to the best alleles for marker-assisted breeding,
  • providing basic understanding of the physiological and molecular mechanisms behind improved yield and selecting wheat lines with the best allelic combination and field performance, and
  • assessing the necessity for using genome editing technologies to optimise gene function and enhance positive effect on wheat yield by modifying expression of the wheat alleles.

The genes Vacuolar Proton Pyrophosphatase 1 (AVP1), Phosphorus Starvation Tolerance 1 (PSTOL1) and Nicotianamine Synthase (NAS) have been shown to improve plant biomass production and grain yield. Over-expression of these genes results in improved biomass production and grain yield in a range of plant species, including cereals (rice, barley, wheat), in optimal growing conditions. The enhanced yield of the plants is believed to be due to improved sugar transport from source to sinks (AVP1), enhanced root growth and nutrient uptake (AVP1, PSTOL1) and increase in shoot biomass and tiller number (AVP1, PSTOL1, NAS2).

“Identifying and pyramiding the wheat orthologues of these high-value genes provides a real opportunity to produce wheat with significantly improved field performance and higher grain yield,” said Project Lead, Stuart Roy, from the University of Adelaide (AUS).

The project has partners at University of Melbourne (AUS), Arizona State University (USA), Cornell University (USA), University of California, Riverside (USA) and Rothamsted Research (GBR).

These extensive projects will continue throughout 2017 and into 2018.

 

Why is this research so important?

Wheat is the most widely grown of any crop globally, providing 20% of daily calories and protein. By 2050 wheat demand is expected to increase by 60%. To meet this demand, annual potential wheat yield increases must effectively double – an exceptional challenge.

In November 2012, funding agencies and organisations from the G20 countries agreed to work together and formed the global Wheat Initiative to develop a strategic approach to supporting research that would lead to dramatically increasing the genetic yield potential of wheat.

An essential pillar of this strategy is the International Wheat Yield Partnership (IWYP), a novel collaborative approach, enabling the best scientific teams from across the globe to work together in an integrated program to address the challenge of raising the genetic yield potential of wheat by up to 50% in the next two decades all over the world. IWYP builds on the initial research concepts of the Wheat Yield Consortium established by CIMMYT.

To deliver increased wheat yield, a combination of fundamental bioscience and applied research will be needed. IWYP will deliver this through a focused program of research to develop new knowledge, models and wheat lines suited to multiple environments ensuring global gains in wheat yields are achieved.

IWYP will target six key research scope areas:

  • uncovering genetic variation that creates the differences in carbon fixation and partitioning between wheat lines,
  • harnessing genes from wheat and other species through genetic modification to boost carbon capture and fixation to increase biomass production,
  • optimising wheat development and growth to improve grain yields and harvest index,
  • developing elite wheat lines for use in other breeding programs,
  • building on discoveries in wheat relatives and other species, and
  • fostering breakthrough technology development that can transform wheat breeding.

The “IWYP Science Program” provides a unique plan to generate new discoveries and provides for their rapid incorporation into wheat crops grown throughout the world. IWYP’s overarching aims are to stimulate new research, amplify the output from existing programs and make scientific discoveries available to farmers in developing and developed nations.

 

The Australian Plant Phenomics Facility

The APPF provides state-of-the-art phenotyping tools and expertise to help academic and commercial plant scientists from Australia and around the world understand and relate the performance of plants to their genetic make-up. Research facilitated at the APPF is leading to the development of new and improved crops, more sustainable agricultural practices, improved maintenance and regeneration of biodiversity in the face of declining arable land area and the challenges of climate change. Our services.

Do you need access to plant phenotyping capabilities? The PIEPS scheme can help!

Do you have an exceptional plant science research project destined to deliver high impact outcomes for agriculture? The Phenomics Infrastructure for Excellence in Plant Science (PIEPS) scheme was announced in May and is open to all publicly funded researchers. Emphasis is placed on novel collaborations that bring together scientists preferably from different disciplines (e.g. plant physiology, computer science, engineering, biometry, quantitative genetics, molecular biology, chemistry, physics) and from different organisations, within Australia or internationally, to focus on problems in plant science.

The PIEPS scheme involves access to phenotyping capabilities at the Australian Plant Phenomics Facility (APPF) at a reduced cost to facilitate exceptional research projects. Researchers will work in partnership with the APPF to determine experimental design and optimal use of the equipment. Our team includes experts in agriculture, plant physiology, biotechnology, genetics, horticulture, image and data analysis, mechatronic engineering, computer science, software engineering, mathematics and statistics.

Applications are assessed in consultation with the APPF’s independent Scientific Advisory Board. Selection is based on merit.

Don’t miss this an outstanding opportunity to gain access to invaluable expertise and cutting edge technology to accelerate your research project and make a real impact in plant science discovery.

Applications close:  30 September 2017

For more information and to applyAPPF Phenomics Infrastructure for Excellence in Plant Science (PIEPS).

To find out how the APPF can support your research, contact us.

Learn more about projects at the Australian Plant Phenomics Facility and keep in touch.

 

 

Growing rice faster – uncovering the triggers behind early canopy closure

By combining high-resolution image-based phenotyping with functional mapping and genome prediction, a new study has provided insights into the complex genetic architecture and molecular mechanisms underlying early shoot growth dynamics in rice.

The more rapidly leaves of a plant emerge and create canopy closure, the more successful the plant, in establishment, resource acquisition and ultimately yield. An early vigor trait is particularly important in aerobic rice environments, which are highly susceptible to water deficits. The timing of developmental ‘triggers’ or switches that initiate tiller formation and rapid exponential growth are a critical component of this trait, however, searching for the switch that initiates this growth has proven challenging due to the complex genetic basis and large genotype-by-environment effect, and the difficulty in accurately measuring shoot growth for large populations.

“The availability of large, automated phenotyping platforms, such as those at Australian Plant Phenomics Facility (APPF), allow plants to be non-destructively phenotyped throughout the lifecycle in a controlled environment, and provide high resolution temporal data that can be used to examine these important developmental switches,” said PhD student, Malachy Campbell.

Malachy and team, including Bettina Berger and Chris Brien from the APPF, phenotyped a panel of ~360 diverse rice accessions throughout the vegetative stage (11-44 day old plants) at The Plant Accelerator® at APPF. A mathematical equation was used to describe temporal growth trajectories of each accession. Regions of the genome that may regulate early vigor were inferred using genome-wide association (GWA) mapping. However, many loci with small effects on shoot growth trajectories were identified, indicating that many genes contribute to this trait. GWA, together with RNA sequencing identified a gibberellic acid (GA) catabolic gene, OsGA2ox7, which could be influencing GA levels to regulate vigor in the early tillering stage.

IMG_1014

Dr Malachy Campell in The Plant Accelerator® at the Australian Plant Phenomics Facility’s Adelaide node

For some traits where genetic variation is controlled by a small number of loci, breeders can use MAS to identify individuals carrying the favourable locus/loci for the given trait, and select them for the next generation. For complex traits that are regulated by many loci, it becomes very difficult to detect loci that are associated with the trait. However, an alternative approach, genomic selection (GS), considers the total genetic contribution of all loci to the given trait. With this approach, loci across the genome can be used to predict the performance of individuals that have not yet been phenotyped (i.e. those in future generations). Since many loci were found to be contributing to early vigor, the team explored the possibility of using GS for improving this trait. Shoot growth trajectories could be predicted with reasonable accuracy, with greater accuracies being achieved when a higher number of markers were used. These results suggest that GS may be an effective strategy for improving shoot growth dynamics during the vegetative growth stage in rice. The approach of combining high-resolution image-based phenotyping, functional mapping and genome prediction could be widely applicable for complex traits across numerous crop species.

Read the full paper, published in The Plant Genome, here. (doi:10.3835/plantgenome2016.07.0064).

This is your chance! An invaluable opportunity to access phenotyping capabilities to further your plant science research

Do you have an exceptional plant science research project destined to deliver high impact outcomes for Australian agriculture? Do you need access to plant phenotyping capabilities?

The Phenomics Infrastructure for Excellence in Plant Science (PIEPS) scheme was announced in May and is open to all publicly funded researchers. Emphasis is placed on novel collaborations that bring together scientists preferably from different disciplines (e.g. plant physiology, computer science, engineering, biometry, quantitative genetics, molecular biology, chemistry, physics) and from different organisations, within Australia or internationally, to focus on problems in plant science.

The PIEPS scheme involves access to phenotyping capabilities at the Australian Plant Phenomics Facility (APPF) at a reduced cost to facilitate exceptional research projects. Researchers will work in partnership with the APPF to determine experimental design and optimal use of the equipment. Our team includes experts in agriculture, plant physiology, biotechnology, genetics, horticulture, image and data analysis, mechatronic engineering, computer science, software engineering, mathematics and statistics.

Applications are assessed in consultation with the APPF’s independent Scientific Advisory Board. Selection is based on merit.

Don’t miss this an outstanding opportunity to gain access to invaluable expertise and cutting edge technology to accelerate your research project and make a real impact in plant science discovery.

Applications close:  30 September 2017

For more information and to apply:  APPF Phenomics Infrastructure for Excellence in Plant Science (PIEPS)

To find out how we can support your research, contact us.

A step closer to salt tolerant chickpea crops

A recent study has collected phenotypic data of chickpea (Cicer arietinum L.) which can now be linked with the genotypic data of these lines. This will enable genome-wide association mapping with the aim of identifying loci that underlie salinity tolerance – an important step in developing salt tolerant chickpeas.

In this study, Judith Atieno and co-authors utilised image-based phenotyping at the Australian Plant Phenomics Facility to study genetic variation in chickpea for salinity tolerance in 245 diverse accessions (a diversity collection, known as the Chickpea Reference Set).

Chickpea is an important legume crop, used as a highly nutritious food source and grown in rotation with cereal crops to fix nitrogen in the soil or to act as a disease break. However, despite its sensitivity to salt, chickpea is generally grown in semi-arid regions which can be prone to soil salinity. This results in an estimated global annual chickpea yield loss of between 8–10%.

Screen Shot 2017-05-19 at 9.53.17 am

Salinity tolerance phenotyping in a Smarthouse at the Australian Plant Phenomics Facility’s Adelaide node at the Waite Research Precinct – Plants were imaged at 28 DAS for 3 consecutive days prior to 40 mM NaCl application in two increments over 2 days. Plants were daily imaged until 56 DAS. Right pane shows 6-week-old chickpeas on conveyor belts leaving the imaging hall proceeding to an automatic weighing and watering station.

 

The study found, on average, salinity reduced plant growth rate (obtained from tracking leaf expansion through time) by 20%, plant height by 15% and shoot biomass by 28%. Additionally, salinity induced pod abortion and inhibited pod filling, which consequently reduced seed number and seed yield by 16% and 32%, respectively. Importantly, moderate to strong correlation was observed for different traits measured between glasshouse and two field sites indicating that the glasshouse assays are relevant to field performance. Using image-based phenotyping, we measured plant growth rate under salinity and subsequently elucidated the role of shoot ion independent stress (resulting from hydraulic resistance and osmotic stress) in chickpea. Broad genetic variation for salinity tolerance was observed in the diversity panel with seed number being the major determinant for salinity tolerance measured as yield. The study proposes seed number as a selection trait in breeding salt tolerant chickpea cultivars.

Screen Shot 2017-05-19 at 9.54.30 am

Genotypic variation for salinity tolerance in the Chickpea Reference Set. Varying levels of salinity tolerance exhibited by different chickpea genotypes. Exposure of sensitive genotypes to 40 mM NaCl caused severe stunted growth, leaf damage, and led to less number of reproductive sites (flowers and pods) compared to moderately tolerant and tolerant genotypes.

 

The rapid development of new, high-resolution and high-throughput phenotyping technologies in plant science has provided the opportunity to more deeply explore genetic variation for salinity tolerance in crop species and identify traits that are potentially novel and relevant to yield improvement. The Australian Plant Phenomics Facility provides state-of-the-art phenotyping and analytical tools and expertise in controlled environments and in the field to help academic and commercial plant scientists understand and relate the performance of plants to their genetic make-up. A dedicated cross-disciplinary team of experts provides consultation on project design and high quality support.

To read the full paper in Scientific Reports, “Exploring genetic variation for salinity tolerance in chickpea using image-based phenotyping” (doi:10.1038/s41598-017-01211-7), click here.

To find out more about the Australian Plant Phenomics Facility and how we can support your research click here.

 

 

 

An exciting offer of help for significant plant science research projects

Do you have an exceptional plant science research project destined to deliver high impact outcomes for Australian agriculture? Do you need access to plant phenotyping capabilities?

The Phenomics Infrastructure for Excellence in Plant Science (PIEPS) scheme is open to all publicly funded researchers. Emphasis is placed on novel collaborations that bring together scientists preferably from different disciplines (e.g. plant physiology, computer science, engineering, biometry, quantitative genetics, molecular biology, chemistry, physics) and from different organisations, within Australia or internationally, to focus on problems in plant science.

The PIEPS scheme involves access to phenotyping capabilities at the Australian Plant Phenomics Facility (APPF) at a reduced cost to facilitate exceptional research projects. Researchers will work in partnership with the APPF to determine experimental design and optimal use of the equipment. Our team includes experts in agriculture, plant physiology, biotechnology, genetics, horticulture, image and data analysis, mechatronic engineering, computer science, software engineering, mathematics and statistics.

Applications are assessed in consultation with the APPF’s independent Scientific Advisory Board. Selection is based on merit.

This is an outstanding opportunity to gain access to invaluable expertise and cutting edge technology to accelerate your research project and make a real impact in plant science discovery.

Applications close:  30 September 2017

For more information and to apply:  APPF Phenomics Infrastructure for Excellence in Plant Science (PIEPS)

 

 

Canberra, Camille and the Cropatron…

As the sun rises over another crisp autumn morning in Canberra, you will find French intern, Camille Mounier, keenly watching over her rice lines in the Cropatron at the Australian Plant Phenomics Facility’s node at CSIRO Agriculture and Food.

Her project, ‘A complex system biology approach to understand the factors affecting canopy photosynthesis’, is being led by Dr Xavier Sirault, Director of the node, in partnership with the Chinese Academy of Sciences.

The project team aim to develop system models of canopy photosynthesis for both rice and wheat, in particular, developing novel methods to combine these system models with phenomics data. This approach will help in the identification of the critical factors controlling photosynthetic energy conversion efficiency in C3 species with the view to improving canopy photosynthetic efficiency, and subsequently, crop yields in small grain cereals.

Using the Cropatron platform, Camille will acquire data on canopy growth, gas and energy exchange in order to validate the biophysical photosynthetic model developed by Prof Xinguang Zhu, Head of Plant Systems Biology Group at the CAS-MPG Partner Institute for Computational Biology.

The Cropatron is a PC2 compliant, fully environmentally controlled (temperature, CO2 and humidity) greenhouse equipped with an automated gantry system (operating at 3.5m above the floor) for proxy-sensing imaging of plants grown in mini canopies. The sensing head is composed of an hyperspectral camera (400-1000nm) for measuring chlorophyll pigments, Far IR imaging for proxy sensing of canopy conductance, LiDAR for quantifying canopy architecture and monitoring growth over time, lysimeters for measuring water use at plot level and a gas exchange chamber at canopy level for measuring canopy assimilation.

Academic and commercial plant scientists are welcome to access the Cropatron platform – find out about pricing, availability and bookings here.

 

Taking the kinks out of curves

In a recent paper, researchers have developed a methodology suitable for analyzing the growth curves of a large number of plants from multiple families. The corrected curves accurately account for the spatial and temporal variations among plants that are inherent to high-throughput experiments.

13007_2017_165_Fig2_HTML

An example of curve registration.  a The salinity sensitivity (SS) curves of the 16 functions from an arbitrary family, b SS curves after the curve registration, and c the corresponding time-warping functions. The salinity sensitivity on the y-axis of a and b refers to the derivative of the relative decrease in plant biomass

 

Advanced high-throughput technologies and equipment allow the collection of large and reliable data sets related to plant growth. These data sets allow us to explore salt tolerance in plants with sophisticated statistical tools.

As agricultural soils become more saline, analysis of salinity tolerance in plants is necessary for our understanding of plant growth and crop productivity under saline conditions. Generally, high salinity has a negative effect on plant growth, causing decreases in productivity.  The response of plants to soil salinity is dynamic, therefore requiring the analysis of growth over time to identify lines with beneficial traits.

In this paper the researchers, led by KAUST and including Dr Bettina Berger and Dr Chris Brien from the Australian Plant Phenomics Facility (APPF), use a functional data analysis approach to study the effects of salinity on growth patterns of barley grown in the high-throughput phenotyping platform at the APPF. The method presented is suitable to reduce the noise in large-scale data sets and thereby increases the precision with which salinity tolerance can be measured.

Read the full paper, “Growth curve registration for evaluating salinity tolerance in barley” (DOI: 10.1186/s13007-017-0165-7) here.

Find out how the Australian Plant Phenomics Facility can support your plant science research here.

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High-throughput phenotyping in the Smarthouse™ at the Adelaide node of the APPF

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Barley plants growing in the Smarthouse™