Arun Shunmugam

Dr. Arun Shunmugam

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

View All Publications
15 August 2014 in Theoretical and Applied Genetics
Verified
Journal Article
Open access
PDF file
ASAnoop Sindhu
Anoop Sindhu
LRLarissa Ramsay
Larissa Ramsay
LSLacey-Anne Sanderson
Lacey-Anne Sanderson
RSRobert Stonehouse
Robert Stonehouse
RLRong Li
Rong Li
ASAndrew G. Sharpe
Andrew G. Sharpe
Key message Gene-based SNPs were identified and mapped in pea using five recombinant inbred line populations segregating for traits of agronomic importance. Abstract Pea (Pisum sativum L.) is one of the world’s oldest domesticated crops and has been a model system in plant biology and genetics since the work of Gregor Mendel. Pea is the second most widely grown pulse crop in the world following common bean. The importance of pea as a food crop is growing due to its combination of moderate protein concentration, slowly digestible starch, high dietary fiber concentration, and its richness in micronutrients; however, pea has lagged behind other major crops in harnessing recent advances in molecular biology, genomics and bioinformatics, partly due to its large genome size with a large proportion of repetitive sequence, and to the relatively limited investment in research in this crop globally. The objective of this research was the development of a genome-wide transcriptome-based pea single-nucleotide polymorphism (SNP) marker platform using next-generation sequencing technology. A total of 1,536 polymorphic SNP loci selected from over 20,000 non-redundant SNPs identified using deep transcriptome sequencing of eight diverse Pisum accessions were used for genotyping in five RIL populations using an Illumina GoldenGate assay. The first high-density pea SNP map defining all seven linkage groups was generated by integrating with previously published anchor markers. Syntenic relationships of this map with the model legume Medicago truncatula and lentil (Lens culinaris Medik.) maps were established. The genic SNP map establishes a foundation for future molecular breeding efforts by enabling both the identification and tracking of introgression of genomic regions harbouring QTLs related to agronomic and seed quality traits.

8 September 2018 in Plants
Verified
Journal Article
Open access
PDF file
ASArun Shunmugam
Arun Shunmugam
UKUdhaya Kannan
Udhaya Kannan
YJYunfei Jiang
Yunfei Jiang
KDKETEMA DABA
KETEMA DABA
LGLinda Y. Gorim
Linda Y. Gorim
Plant breeders and agricultural scientists of the 21st century are challenged to increase the yield potentials of crops to feed the growing world population. Climate change, the resultant stresses and increasing nutrient deficiencies are factors that are to be considered in designing modern plant breeding pipelines. Underutilized food legumes have the potential to address these issues and ensure food security in developing nations of the world. Food legumes in the past have drawn limited research funding and technological attention when compared to cereal crops. Physiological breeding strategies that were proven to be successful in cereals are to be adapted to legume crop improvement to realize their potential. The gap between breeders and physiologists should be narrowed by collaborative approaches to understand complex traits in legumes. This review discusses the potential of physiology based approaches in food legume breeding and how they impact yield gains and abiotic stress tolerance in these crops. The influence of roots and root system architectures in food legumes’ breeding is also discussed. Molecular breeding to map the relevant physiological traits and the potentials of gene editing those traits are detailed. It is imperative to unlock the potentials of these underutilized crops to attain sustainable environmental and nutritional food security.

18 September 2014 in Euphytica
Verified
Journal Article
Closed access
PDF file
AJAmbuj Bhushan Jha
Ambuj Bhushan Jha
BTBunyamin Tar'an
Bunyamin Tar'an
MDMarwan Diapari
Marwan Diapari
ASAnoop Sindhu
Anoop Sindhu
ASArun Shunmugam
Arun Shunmugam
TWThomas Warkentin
Thomas Warkentin

1 March 2015 in Crop Science
Verified
Journal Article
Closed access
ASArun Shunmugam
Arun Shunmugam
XLX. Liu
X. Liu
RSR. Stonehouse
R. Stonehouse
BTBunyamin Tar'an
Bunyamin Tar'an
KBK. E. Bett
K. E. Bett
TWThomas Warkentin
Thomas Warkentin

26 December 2014 in Plants
Verified
Journal Article
Open access
PDF file
ASArun Shunmugam
Arun Shunmugam
CBCheryl Bock
Cheryl Bock
GAGene C. Arganosa
Gene C. Arganosa
FGFawzy Georges
Fawzy Georges
GGGordon Gray
Gordon Gray
TWThomas Warkentin
Thomas Warkentin
Low phytic acid (lpa) crops are low in phytic acid and high in inorganic phosphorus (Pi). In this study, two lpa pea genotypes, 1-150-81, 1-2347-144, and their progenitor CDC Bronco were grown in field trials for two years. The lpa genotypes were lower in IP6 and higher in Pi when compared to CDC Bronco. The total P concentration was similar in lpa genotypes and CDC Bronco throughout the seed development. The action of myo-inositol phosphate synthase (MIPS) (EC 5.5.1.4) is the first and rate-limiting step in the phytic acid biosynthesis pathway. Aiming at understanding the genetic basis of the lpa mutation in the pea, a 1530 bp open reading frame of MIPS was amplified from CDC Bronco and the lpa genotypes. Sequencing results showed no difference in coding sequence in MIPS between CDC Bronco and lpa genotypes. Transcription levels of MIPS were relatively lower at 49 days after flowering (DAF) than at 14 DAF for CDC Bronco and lpa lines. This study elucidated the rate and accumulation of phosphorus compounds in lpa genotypes. The data also demonstrated that mutation in MIPS was not responsible for the lpa trait in these pea lines.

25 August 2022 in Frontiers in Plant Science
Verified
Journal Article
Open access
VSViridiana Silva-Perez
Viridiana Silva-Perez
ASArun Shunmugam
Arun Shunmugam
SRShiwangni Rao
Shiwangni Rao
CCC. Mariano Cossani
C. Mariano Cossani
ATAbeya Temesgen Tefera
Abeya Temesgen Tefera
GRGarry M. Rosewarne
Garry M. Rosewarne
Genetic progress in seed yield in lentils (Lens culinaris Medik) has increased by 1.1% per year in Australia over the past 27 years. Knowing which plant traits have changed through breeding during this time can give important insights as to how lentil yield has increased. This study aims to identify morphological and physiological traits that were directly or indirectly selected between 1993 and 2020 in the Australian lentil breeding program using 2 years of experimental data. Major changes occurred in plant architecture during this period. Divergent selection has seen the release of varieties that have sprawling to very upright types of canopies. Despite this genetic diversity in recently released varieties, there is an overall tendency of recently released varieties having increased plant height and leaf size with reduced number of branches. Increased light interception was positively correlated with year of release (YOR) and yield, and likely results from indirect selection of yield and taller plant types. There is an indication that recently released varieties have lower CO2 assimilation rate, stomatal conductance and canopy temperature depression (CTD) at high ambient temperatures (~30°C). Understanding lentil physiology will assist in identifying traits to increase yield in a changing climate with extreme weather events.