Dissecting the Root Phenotypic and Genotypic Variability of the Iowa Mung Bean Diversity Panel

Chiteri, Kevin O.; Jubery, Talukder Z.; Dutta, Somak; Ganapathysubramanian, Baskar; Cannon, Steven B.; Singh, Arti

doi:10.3389/fpls.2021.808001

Cited by 7 publications

(5 citation statements)

References 127 publications

(166 reference statements)

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“…Our fndings indicate that mungbean sprouts and seed coats should be consumed for the synergistic efect of mungbean intake. Although to identify candidate key genes regulating the contents of the target secondary metabolites, further transcriptomic analysis is required, the biochemical features identifed in this study will help understand the biosynthetic pathways of phytochemicals and the nutritional values in mungbean sprouts and seed coats [42,46]. Tese fndings will provide valuable information for molecular breeding to develop mungbean cultivars for sprout production with high polyphenol content accompanying benefcial efects on human health.…”

Section: Discussionmentioning

confidence: 99%

Tissue-Specific Metabolic Profiling of Mungbean (Vigna radiata L.) Genotypes with Different Seed Coat Colors

Jeon

Kim

2023

Journal of Food Quality

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Mungbean (Vigna radiata L.) is one of the major legume crops containing high carbohydrate and protein contents. In this study, the total phenolic and flavonoid contents and ABTS/DPPH radical scavenging activity of whole sprouts and seed coats were evaluated by using 10 mungbean genotypes with diverse seed coat colors and origins. Qualitative/quantitative analysis of individual secondary metabolites was performed with ultrahigh performance liquid chromatography (UPLC). Overall, 23 polyphenols, including flavonoids, phenylpropanoids, and anthocyanins, were identified. Depending on genotypes, significant variations in the contents of each phytochemical were identified before/after germination. The results indicate that the specific pathways of phenolic compounds, including chlorogenic acid, coumestrol, genistein, and glycitein, are activated by sprouting in mungbean. The neo/chlorogenic acid contents had tissue specificity, even though it was isomeric. The anthocyanin contents were higher in green and yellow mungbeans than in black mungbeans. These findings in this study will provide valuable information to improve the food quality of mungbean sprouts with high polyphenolic contents.

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Section: Discussionmentioning

confidence: 99%

Tissue-Specific Metabolic Profiling of Mungbean (Vigna radiata L.) Genotypes with Different Seed Coat Colors

Jeon

Kim

2023

Journal of Food Quality

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“…(2020), and Chiteri et al. (2022). The station consists of a utility cart, a camera, a light mounting platform, and a file storage system.…”

Section: Methodsmentioning

confidence: 96%

“…A study of genetic diversity for traits of interest provides additional usefulness in science. Researchers have used genetic characterization of diversity panels to conduct genome-wide association studies (GWAS), for example, disease-related traits such as sudden death syndrome (Zhang et al, 2015), and iron deficiency chlorosis (Assefa et al, 2020) in soybean, fusarium wilt, plant height, days to flowering and seed coat color in mungbean (Sandhu & Singh, 2021), and root-related traits in soybean (Falk, Jubery, O'Rourke, et al, 2020) and mungbean (Chiteri et al, 2022). GWAS studies have proved vital in the detection of the marker-trait association whose top-level outcome can kickstart further investigation of genes for transgenic crop improvement or through marker-assisted selection as reviewed by Tibbs Cortes et al ( 2021) and Zhu et al (2008).…”

Section: Core Ideasmentioning

confidence: 99%

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Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study

Chiteri

Chiranjeevi

Jubery

et al. 2023

The Plant Phenome Journal

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Mungbean (Vigna radiata (L.) Wizcek) is an important pulse crop, increasingly used as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in human diets. Mungbean is a dicot plant with trifoliate leaves. The primary component of many plant functions, including photosynthesis, light interception, and canopy structure, are leaves. The objectives were to investigate leaf morphological attributes, use image analysis to extract leaf morphological traits from photos from the Iowa Mungbean Diversity (IMD) panel, create a regression model to predict leaflet area, and undertake association mapping. We collected over 5000 leaf images of the IMD panel consisting of 484 accessions over 2 years (2020 and 2021) with two replications per experiment. Leaf traits were extracted using image analysis, analyzed, and used for association mapping. Morphological diversity included leaflet type (oval or lobed), leaflet size (small, medium, large), lobed angle (shallow, deep), and vein coloration (green, purple). A regression model was developed to predict each ovate leaflet's area (adjusted R2 = 0.97; residual standard errors of < = 1.10). The candidate genes Vradi01g07560, Vradi05g01240, Vradi02g05730, and Vradi03g00440 are associated with multiple traits (length, width, perimeter, and area) across the leaflets (left, terminal, and right). These are suitable candidate genes for further investigation in their role in leaf development, growth, and function. Future studies will be needed to correlate the observed traits discussed here with yield or important agronomic traits for use as phenotypic or genotypic markers in marker‐aided selection methods for mungbean crop improvement.

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“…(2020) found substantial variation across mungbean lines in phenology, seed and plant color traits, and seed size in the WorldVeg mini‐core collection. Chitieri and colleagues (2022, 2023) analyzed variation in seed, shoot, and root traits in a USDA mungbean panel of 495 accessions. Using smaller panels of released varieties and exotic germplasm, Reddy et al.…”

Section: Introductionmentioning

confidence: 99%

Leveraging genomics and phenomics to accelerate improvement in mungbean: A case study in how to go from GWAS to selection

Fumia,

Nair,

Lin

et al. 2023

The Plant Phenome Journal

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Grown on 7 million ha, mungbean is a warm‐season grain legume with regional importance in parts of Asia and Africa. Under forecasted climate change, due to its tolerance to drought and heat, the short crop duration, and its nutritional properties, mungbean could serve to fill an important need for human diets. However, selection of accessions becomes difficult where plant and consumer market variation is large. We performed selection on genebank accessions, specifically the mini‐core collection at the World Vegetable Center, for yield and yield component traits. Our selection index uses refined accuracy by leveraging genomics, phenomics, and genotype‐by‐environment interactions. Best linear unbiased prediction (BLUP) is used to predict the genotypic effects of the 292 mini‐core accessions toward seed yield based on genomic relationships formed from ∼200,000 SNPs. We expanded BLUP analysis to predict phenotypic effects based on the phenomic relationships formed from ∼75,000 measurements from three‐dimensional multispectral data. While this method is restricted to a single environment, our multi‐environment trials across eight countries and 4 years serve to quantify the genotype‐by‐environment effect. K‐fold cross‐validation finds predictive ability to vary by methods but to be related to the narrow‐sense heritability of the yield component trait. Our weighted rank sum index (WRSI) linearly combines yield component traits to proxy yield within our single environment phenomics trial by first ranking genomic and/or phenomic BLUPs, then weighting by predictive accuracy from the cross‐validated model, and then summing the component weighted ranks for each accession. Selections were made from the predicted random effects in each location, identifying three accessions overlapping across both methodologies: PI 369787 (VI001339A‐G) and EG‐MD‐6D (VI000380A‐G) from the Philippines, and PI 363534 (VI003220A‐G) from India.

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Dissecting the Root Phenotypic and Genotypic Variability of the Iowa Mung Bean Diversity Panel

Cited by 7 publications

References 127 publications

Tissue-Specific Metabolic Profiling of Mungbean (Vigna radiata L.) Genotypes with Different Seed Coat Colors

Tissue-Specific Metabolic Profiling of Mungbean (Vigna radiata L.) Genotypes with Different Seed Coat Colors

Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study

Leveraging genomics and phenomics to accelerate improvement in mungbean: A case study in how to go from GWAS to selection

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