Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Phosphorus Cycling
1. LIMITLESS POTENTIAL | LIMITLESS OPPORTUNITIES | LIMITLESS IMPACTLIMITLESS POTENTIAL | LIMITLESS OPPORTUNITIES | LIMITLESS IMPACTLIMITLESS POTENTIAL | LIMITLESS OPPORTUNITIES | LIMITLESS IMPACTCopyright Universityof Reading
PHOSPHORUS CYCLING IN THE
SOIL-MICROBE-PLANT CONTINUUM
Dr John P. Hammond
j.p.hammond@reading.ac.uk
School of Agriculture, Policy and
Development
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MicrobeSoil
Prof. Liz Wellington
Prof. David Scanlan
Prof. Gary Bending
Dr Alex Jones
Dr Jonathan Moore
Dr Ian Lidbury
Andrew Murphy
Christopher Hale
Prof. Mark Tibbett
Plant
Dr John Hammond
Dr Andrew Goodall
Dr Ron Smernik
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Phosphate: from rocks, to roots, to rivers
85% of mined P is used in food production.
P is a non renewable
resource and excess
use pollutes the
environment. 3
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Fertiliser P
Soil P
Organic/
microbial P
Non
labile
Soil P Labile P
Investigating phosphate cycling in agricultural soils
Plant driven processes
Microbial driven processes
How do these
processes interact?
Which microbes are driving this process?
How do these
processes change
during the season?
Can we reduceinputs,
by improving below
ground processes?
Can we manipulate the
root to optimise the
cycling of phosphorus?
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Root Bulk soilRhizosphere
Phosphorus Cycling in the
Soil-Microbe-Plant Continuum
Soil
P
Labile
P
Organic/
Microbial
P
Non-
labile P
Objective 1:
Characterise
rhizosphere
metagenome and
root/rhizosphere
metaproteome
changes in response
to soil P availability.
Complex system – system components characterised prior to the whole system 5
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Phosphate acquisition genes
Strain PstS_1 PstS_2 DING PhoT_4 PhoT_5
P. aeruginosa PA01 + ++ +
P. fluorescens SBW25 + + + +
P. fluorescens A506 + + +
P. fluorescens F113 + + +
P. putida BIRD-1 + + +
P. putida KT2440 + + +
P. stutzeri DSM 4166 + + +
P. syringae B728a + +
P. syringae DC3000 + +
Comparative analyses of Pseudomonas genomic content
Variation in the genomic content of Pseudomonas species and strain associated with
phosphorus regulation, acquisition and metabolism.
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0.01
0.1
1
10
0 10 20 30
Growth(OD600)
Time (h)
SBW25 - 50 µM P
SBW25 - 1.4 mM P
BIRD-1 - 50 µM
BIRD-1 - 1.4 mM
Growth response of Pseudomonas to
phosphate availability
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0
1000
2000
3000
4000
5000
50 µM P 1.4 mM P
Phosphataseactivity
(PNPmghr-1)
Phosphate concentration
SBW25
BIRD-1
DSM4166
Growth response of Pseudomonas to
phosphate availability
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• Phytate is the major form of organic P in the soil (>50%)
• Three major classes of phytase enzymes found in the environment
Phytase In Soil Systems
HAP-like CPhy BPP
Lim et al., (2007) The ISME Journal 1, 321-330
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• P. putida BIRD-1 will grow with phytate as the sole source of phosphorus
0.01
0.1
1
0 20 40
OD600
Time (h)
Phytate
Pi
Undiscovered Phytase In Soil Systems
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• A number of strains (putida) can grow on phytate as a sole P source but
have no characterised phytase located in their genomes
Phytase Distribution In Pseudomonads
Phytase Class
Strain HAP BPP ChyP Can grown on Phytase P?
P. fluorescens SBW25 + Yes
P. putida BIRD-1 Yes
P. putida KT2440 Yes
P. stutzeri DSM 4166 + Yes
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Low P High P
BIRD-1
Low P Low PHigh P Low P High P
SBW25 DSM 4166
Exoproteomes of Pseudomonas in response
to phosphate concentration
Proteome and exoproteome of these strains currently being characterised
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Hydroponically grown Brassica rapa R-o-18 leaf and root samples taken 24
and 72 hours after the withdrawal of phosphate from the nutrient solution
(n=3). RNA extracted and sequenced on Illumina HiSeq.
Fold
change
FDR corrected P
value
BRAD ID Description
6.48 0.00077 BraG004773 Inorganic pyrophosphatase
5.18 0.00146 Bro18x005682 Protein of unknown function
4.75 0.00077 BraG028100 PAP17 Purple acid phosphatase
4.26 0.00077 BraG006242 SPX domain-containing protein 1
4.04 0.00077 BraG022388 Monogalactosyldiacylglycerol synthase 2
3.97 0.00077 BraG014829 WAT1-related protein
3.66 0.00077 BraG023544 Organic cation/carnitinetransporter
3.58 0.00077 BraG007528 Short-chain dehydrogenase reductase 3a
3.53 0.00077 BraG025615 SUP Transcriptional regulator SUPERMAN
3.48 0.00077 BraG015477 Cation/H(+)antiporter 17
3.41 0.00077 BraG037303 SPX domain-containing protein 3
3.31 0.00077 BraG039104 Glycerophosphodiester phosphodiesterase
Plant responses to phosphate availability
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Hydroponically grown Brassica rapa R-o-18 leaf and root samples taken 24
and 72 hours after the withdrawal of phosphate from the nutrient solution
(n=3). RNA extracted and sequenced on Illumina HiSeq.
Fold
change
FDR corrected P
value
BRAD ID Description
290.1 0.00026 Bra032983 Galactose oxidase/kelch repeat superfamily protein
192.0 0.00026 Bra013223 Protein of unknown function (DUF506)
147.5 0.00026 Bra040324 SPX domain gene 3
59.6 0.00026 Bra040531 phospholipase D P2
48.6 0.00026 Bra037199 monogalactosyldiacylglycerolsynthase type C
28.9 0.00026 Bra020088 SPX domain gene 1
20.8 0.00026 Bra018150 phosphate starvation-induced gene 3
19.4 0.00026 Bra009316 PLC-like phosphodiesterases superfamily protein
8.3 0.00026 Bra000539 SPX domain gene 2
8.2 0.00026 Bra004334 PHO1
5.4 0.00026 Bra032671 ribonuclease 2
1.8 0.00026 Bra027057 WRKY6 transcription factor
Plant responses to phosphate availability
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Fertiliser P
Soil P
Organic/
microbial P
Non
labile
Soil P Labile P
Investigating phosphate cycling in agricultural soils
Plant driven processes
Microbial driven processes
How do these
processes interact?
Which microbes are driving this process?
How do these
processes change
during the season?
Can we reduceinputs,
by improving below
ground processes?
Can we manipulate the
root to optimise the
cycling of phosphorus?
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Target Gene and Arabidopsis ID
Brassicarapa Chifu
Gene models? Reference
Purple acid phosphatase (PAP) 26 (At5g34850) 1 (Tran et al., 2010)
PAP 12 (At2g27190) 2 (Tran et al., 2010)
Citrate synthase 4 (At2g44350) 2 (Anoop et al., 2003)
Aluminium activated malate transporter 1 (At1g08430) 4 (Ligaba et al., 2006)
Mitochondrial malate dehydrogenase (At1g 53240) 3 (van der Merwe et al., 2009)
MATE efflux protein (At1g51340) 2 (Meyer et al., 2010)
Sucrose transporter 2 (At1g22710) 2 (Lloyd and Zakhleniuk, 2004)
• Identified 16 gene models covering seven potential target genes.
• All are involved in the root exudate profile/production.
Target genes for manipulating root rhizosphere inputs
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• Plants were grown hydroponically on complete nutrient solution for 3 weeks.
• Exposure to P+ and P- treatments was carried out for 1 week.
Target genes for manipulating root rhizosphere inputs
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TILLING – Targeting Induced Local Lesions IN Genomes
• Reverse genetics process developed by Colbert et. al., (2001).
• Seed is treated with EMS (ethylmethanesulphonate) to induce
mutations.
• M2 population is then screened for mutants using fluorescent primers.
• Mutants are sequenced.
• RevGen have sequenced 1000 lines via Exome capture, which has
reduced the costs involved in the TILLING project.
• 15 gene models with a total of 492 mutant lines.
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Fertiliser P
Soil P
Organic/
microbial P
Non
labile
Soil P Labile P
Investigating phosphate cycling in agricultural soils
Plant driven processes
Microbial driven processes
How do these
processes interact?
Which microbes are driving this process?
How do these
processes change
during the season?
Can we reduceinputs,
by improving below
ground processes?
Can we manipulate the
root to optimise the
cycling of phosphorus?
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10 cm
Objective 3: Temporally characterise the rhizosphere microbial
functions, P pools and changes in root gene expression of
Brassica rapa from seedling stage through to pod filling.
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Objective 4: Assess the microbial functional groups of oilseed rape (OSR)
rhizospheres during crop development and their impacts on rhizosphere P
cycling.
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Objective 4: Assess the microbial functional groups of oilseed rape (OSR)
rhizospheres during crop development and their impacts on rhizosphere P
cycling.
• Two field trials
• OSR following spring barley with and without phosphate fertiliser.
• 192 different varieties of OSR grown under non-limiting conditions as part of
Defra funded Oilseed Rape Genetic Improvement Network (OREGIN)
• 192 OSR varieties are part of Genome Wide Association Mapping panel
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Summary
• Characterising components of the rhizosphere system.
• Observed variation in genomic content of soil bacteria and their response
to phosphorus.
• Brassica rapa growth and transcriptional responses to available P are
consistent with previous research
• Plants with mutations in genes involved in rhizosphere inputs obtained