John Ferguson

Dr. John Ferguson


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 February 2024 in Plant, Cell & Environment
Verified
Journal Article
Open access
FBFlorian A. Busch
Florian A. Busch
EAElizabeth A. Ainsworth
Elizabeth A. Ainsworth
AAAnna Amtmann
Anna Amtmann
ACAmanda P. Cavanagh
Amanda P. Cavanagh
SDSteven Michiel Driever
Steven Michiel Driever
MPMaria Papanatsiou
Maria Papanatsiou
Gas exchange measurements enable mechanistic insights into the processes that underpin carbon and water fluxes in plant leaves which in turn inform understanding of related processes at a range of scales from individual cells to entire ecosytems. Given the importance of photosynthesis for the global climate discussion it is important to (a) foster a basic understanding of the fundamental principles underpinning the experimental methods used by the broad community, and (b) ensure best practice and correct data interpretation within the research community. In this review, we outline the biochemical and biophysical parameters of photosynthesis that can be investigated with gas exchange measurements and we provide step‐by‐step guidance on how to reliably measure them. We advise on best practices for using gas exchange equipment and highlight potential pitfalls in experimental design and data interpretation. The Supporting Information contains exemplary data sets, experimental protocols and data‐modelling routines. This review is a community effort to equip both the experimental researcher and the data modeller with a solid understanding of the theoretical basis of gas‐exchange measurements, the rationale behind different experimental protocols and the approaches to data interpretation.

8 January 2019 in Genetics
Verified
Journal Article
Closed access
PDF file
Ravi ValluruRavi Valluru
Ravi Valluru
EGElodie E Gazave
Elodie E Gazave
SFSamuel B. Fernandes
Samuel B. Fernandes
JFJohn Ferguson
John Ferguson
RLRoberto Lozano
Roberto Lozano
NBNonoy Bandillo
Nonoy Bandillo
Sorghum (Sorghum bicolor L.) is a major food cereal for millions of people worldwide. The sorghum genome, like other species, accumulates deleterious mutations, likely impacting its fitness. The lack of recombination, drift, and the coupling with favorable loci impede the removal of deleterious mutations from the genome by selection. To study how deleterious variants impact phenotypes, we identified putative deleterious mutations among ~5.5M segregating variants of 229 diverse biomass sorghum lines. We provide the whole-genome estimate of the deleterious burden in sorghum, showing that about 33 percent of nonsynonymous substitutions are putatively deleterious. The pattern of mutation burden varies appreciably among racial groups. Across racial groups, the mutation burden correlated negatively with biomass, plant height, specific leaf area (SLA), and tissue starch content (TSC), suggesting deleterious burden decreases trait fitness. Putatively deleterious variants explain roughly half of the genetic variance. However, there is only moderate improvement in total heritable variance explained for biomass (7.6%) and plant height (average of 3.1% across all stages). There is no advantage in total heritable variance for SLA and TSC. The contribution of putatively deleterious variants to phenotypic diversity therefore appears to be dependent on the genetic architecture of traits. Overall, these results suggest that incorporating putatively deleterious variants into genomic models slightly improve prediction accuracy because of extensive linkage. Knowledge of deleterious variants could be leveraged for sorghum breeding through either genome editing and/or conventional breeding that focus on the selection of progeny with fewer deleterious alleles.

4 February 2021 in Plant, Cell & Environment
Verified
Journal Article
Open access
PDF file
JFJohn Ferguson
John Ferguson
ATAlison Tidy
Alison Tidy
EMErik H. Murchie
Erik H. Murchie
ZWZoe A. Wilson
Zoe A. Wilson
Impaired carbon metabolism and reproductive development constrain crop productivity during heat stress. Reproductive development is energy intensive, and its requirement for respiratory substrates rises as associated metabolism increases with temperature. Understanding how these processes are integrated and the extent to which they contribute to the maintenance of yield during and following periods of elevated temperatures is important for developing climate‐resilient crops. Recent studies are beginning to demonstrate links between processes underlying carbon dynamics and reproduction during heat stress, consequently a summation of research that has been reported thus far and an evaluation of purported associations are needed to guide and stimulate future research. To this end, we review recent studies relating to source–sink dynamics, non‐foliar photosynthesis and net carbon gain as pivotal in understanding how to improve reproductive development and crop productivity during heat stress. Rapid and precise phenotyping during narrow phenological windows will be important for understanding mechanisms underlying these processes, thus we discuss the development of relevant high‐throughput phenotyping approaches that will allow for more informed decision‐making regarding future crop improvement.

10 August 2020 in The Plant Journal
Verified
Journal Article
Open access
PDF file
JFJohn Ferguson
John Ferguson
LMLorna McAusland
Lorna McAusland
KSKellie E. Smith
Kellie E. Smith
APAdam H. Price
Adam H. Price
ZWZoe A. Wilson
Zoe A. Wilson
EMErik H. Murchie
Erik H. Murchie
SUMMARY: A key target for the improvement ofOryza sativa(rice) is the development of heat‐tolerant varieties. This necessitates the development of high‐throughput methodologies for the screening of heat tolerance. Progress has been made to this end via visual scoring and chlorophyll fluorescence; however, these approaches demand large infrastructural investments to expose large populations of adult plants to heat stress. To address this bottleneck, we investigated the response of the maximum quantum efficiency of photosystem II (PSII) to rapidly increasing temperatures in excised leaf segments of juvenile rice plants. Segmented models explained the majority of the observed variation in response. Coefficients from these models, i.e. critical temperature (Tcrit) and the initial response (m1), were evaluated for their usability for forecasting adult heat tolerance, measured as the vegetative heat tolerance of adult rice plants through visual (stay‐green) and chlorophyll fluorescence (ɸPSII) approaches. We detected substantial variation in heat tolerance of a randomly selected set ofindicarice varieties. BothTcritandm1were associated with measured heat tolerance in adult plants, highlighting their usability as high‐throughput proxies. Variation in heat tolerance was associated with daytime respiration but not with photosynthetic capacity, highlighting a role for the non‐photorespiratory release of CO2in heat tolerance. To date, this represents the first published instance of genetic variation in these key gas‐exchange traits being quantified in response to heat stress in a diverse set of rice accessions. These results outline an efficient strategy for screening heat tolerance and accentuate the need to focus on reduced rates of respiration to improve heat tolerance in rice.

18 July 2024 in Journal of Experimental Botany
Verified
Journal Article
Open access
PDF file
JFJohn Ferguson
John Ferguson
PSPeter Schmuker
Peter Schmuker
ADAnna Dmitrieva
Anna Dmitrieva
TQTruyen Quach
Truyen Quach
TZTieling Zhang
Tieling Zhang
ALAndrew D. B. Leakey
Andrew D. B. Leakey
Enhancing crop water use efficiency (WUE) is a key target trait for climatic resilience and expanding cultivation on marginal lands. Engineering lower stomatal density to reduce stomatal conductance (gs) has improved WUE in multiple C3 crop species. However, reducing gs in C3 species often reduces photosynthetic carbon gain. A different response is expected in C4 plants because they possess specialized anatomy and biochemistry which concentrates CO2 at the site of fixation. This modifies the photosynthesis (AN) relationship with intracellular CO2 concentration (ci) so that photosynthesis is CO2-saturated and reductions in gs are unlikely to limit AN. To test this hypothesis, genetic strategies were investigated to reduce stomatal density in the C4 crop sorghum. Constitutive expression of a synthetic epidermal patterning factor (EPF) transgenic allele in sorghum, led to reduced stomatal densities, reduced gs, reduced plant water use and avoidance of stress during a period of water deprivation. In addition, moderate reduction in stomatal density did not increase stomatal limitation to AN. However, these positive outcomes were associated with negative pleiotropic effects on reproductive development and photosynthetic capacity. Avoiding pleiotropy by targeting expression of the transgene to specific tissues could provide a pathway to improved agronomic outcomes.

30 April 2019 in Emerging Topics in Life Sciences
Verified
Journal Article
Closed access
PDF file
JFJohn Ferguson
John Ferguson
Predicted global climatic change will perturb the productivity of our most valuable crops as well as detrimentally impact ecological fitness. The most important aspects of climate change with respect to these effects relate to water availability and heat stress. Over multiple decades, the plant research community has amassed a highly comprehensive understanding of the physiological mechanisms that facilitate the maintenance of productivity in response to drought, flooding, and heat stress. Consequently, the foundations necessary to begin the development of elite crop varieties that are primed for climate change are in place. To meet the food and fuel security concerns of a growing population, it is vital that biotechnological and breeding efforts to harness these mechanisms are accelerated in the coming decade. Despite this, those concerned with crop improvement must approach such efforts with caution and ensure that potentially harnessed mechanisms are viable under the context of a dynamically changing environment.