Samira Mafi Moghaddam

Samira Mafi Moghaddam

Auto-generated profile, based on publicly available information

Samira Mafi Moghaddam

Genomics and Bioinformatics Program and Dep. of Plant Sciences North Dakota State Univ. Fargo ND 58105‐6050

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

View All Publications
1 November 2016 in The Plant Genome
Verified
Journal Article
Open access
PDF file
SMSamira Mafi Moghaddam
Samira Mafi Moghaddam
sujan Mamidisujan Mamidi
sujan Mamidi
JOJuan M. Osorno
Juan M. Osorno
RLRian Lee
Rian Lee
MBMark Brick
Mark Brick
PMPhillip E. McClean
Phillip E. McClean
Common bean ( Phaseolus vulgaris L.) breeding programs aim to improve both agronomic and seed characteristics traits. However, the genetic architecture of the many traits that affect common bean production are not completely understood. Genome‐wide association studies (GWAS) provide an experimental approach to identify genomic regions where important candidate genes are located. A panel of 280 modern bean genotypes from race Mesoamerica, referred to as the Middle American Diversity Panel (MDP), were grown in four US locations, and a GWAS using >150,000 single‐nucleotide polymorphisms (SNPs) (minor allele frequency [MAF] ≥ 5%) was conducted for six agronomic traits. The degree of inter‐ and intrachromosomal linkage disequilibrium (LD) was estimated after accounting for population structure and relatedness. The LD varied between chromosomes for the entire MDP and among race Mesoamerica and Durango–Jalisco genotypes within the panel. The LD patterns reflected the breeding history of common bean. Genome‐wide association studies led to the discovery of new and known genomic regions affecting the agronomic traits at the entire population, race, and location levels. We observed strong colocalized signals in a narrow genomic interval for three interrelated traits: growth habit, lodging, and canopy height. Overall, this study detected ∼30 candidate genes based on a priori and candidate gene search strategies centered on the 100‐kb region surrounding a significant SNP. These results provide a framework from which further research can begin to understand the actual genes controlling important agronomic production traits in common bean.

1 March 2018 in The Plant Genome
Verified
Journal Article
Open access
PDF file
SMSamira Mafi Moghaddam
Samira Mafi Moghaddam
MBMark Brick
Mark Brick
DEDimas Echeverria
Dimas Echeverria
HTHenry J. Thompson
Henry J. Thompson
LBLeslie A. Brick
Leslie A. Brick
PMPhillip E. McClean
Phillip E. McClean
Common bean ( Phaseolus vulgaris L.) is the most consumed edible grain legume worldwide and contains a wide range of nutrients for human health including dietary fiber. Diets high in beans are associated with lower rates of chronic diseases such as obesity and type 2 diabetes, and the content of dietary fibers varies among different market classes of dry bean. In this study, we evaluated the dietary fiber content in a Middle American diversity panel (MDP) of common bean and evaluated the genetic architecture of the various dietary fiber components. The dietary fiber components included insoluble and soluble dietary fibers as well as the antinutritional raffinose family of oligosaccharides (RFOs; raffinose, stachyose, and verbascose). All variables measured differed among market classes and entries. Colored bean seeds had higher levels of insoluble dietary fibers with the black market class showing also the highest raffinose and stachyose content. Cultivars and lines released since 1997 had higher insoluble dietary fibers and RFO content in race Durango. Higher levels of RFOs were also observed in cultivars with type II growth habit that was a recent breeding target in Durango race germplasm. Candidate genes for dietary fiber traits, especially homologs to two main genes in the RFO biosynthesis pathway, were identified. The knowledge of diversity of dietary fibers in the MDP accompanied with the identification of candidate genes could effectively improve dietary fiber components in common bean.