Genome-Wide Association Studies of Mineral Content in Common Bean

Gunjača, Jerko; Carović‐Stanko, Klaudija; Lazarević, Boris; Vidak, Monika; Petek, Marko; Liber, Zlatko; Šatović, Zlatko

doi:10.3389/fpls.2021.636484

Cited by 29 publications

(29 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although GWAS has been very widely used to investigate the genetic control of several important common bean traits (see González et al 2017 ; Assefa et al 2019 ), including seed color ( McClean et al 2018 ; de Almeida et al 2021 ), mineral content ( Katuuramu et al 2018 ; Gunjača et al 2021 ), cooking time ( Diaz et al 2020 ), and flavor ( Bassett et al 2021 ), as far as we know ours is the first study to combine high-density genotyping and high-throughput image-based seed analysis to perform association mapping and dissect the genetic architecture of both seed size and shape in common bean. Our findings indicate that 4 genomic regions could explain a substantial amount of the phenotypic variation.…”

Section: Discussionmentioning

confidence: 99%

Genome-wide association studies dissect the genetic architecture of seed shape and size in common bean

Giordani

Gama

Chiorato

et al. 2022

G3 Genes|Genomes|Genetics

View full text Add to dashboard Cite

Seed weight and size are important yield components. Thus, selecting for large seeds has been a key objective in crop domestication and breeding. In common bean, seed shape is also important since it influences industrial processing and plays a vital role in determining the choices of consumers and farmers. In this study, we performed genome-wide association studies (GWAS) on a core collection of common bean accessions to dissect the genetic architecture and identify genomic regions associated with seed morphological traits related to weight, size and shape. Phenotypic data was collected by high-throughput image-based approaches, and utilized to test associations with 10,362 SNP markers using multi-locus mixed-models. We searched within genome-associated regions for candidate genes putatively involved in seed phenotypic variation. The collection exhibited high variability for the entire set of seed traits, and the Andean gene pool was found to produce larger, heavier seeds than the Mesoamerican gene pool. Strong pairwise correlations were verified for most seed traits. GWAS identified marker-trait associations accounting for a considerable amount of phenotypic variation in length, width, projected area, perimeter and circularity in four distinct genomic regions. Promising candidate genes were identified, e.g., those encoding an AT-hook motif nuclear-localized protein 8, type 2C protein phosphatases and a protein Mei2-like 4 isoform, known to be associated with seed size and weight regulation. Moreover, the genes that were pinpointed are also good candidates for functional analysis to validate their influence on seed shape and size in common bean and other related crops.

show abstract

Section: Discussionmentioning

confidence: 99%

Genome-wide association studies dissect the genetic architecture of seed shape and size in common bean

Giordani

Gama

Chiorato

et al. 2022

G3 Genes|Genomes|Genetics

View full text Add to dashboard Cite

show abstract

“…The genetic basis underlying the micronutrient concentration have been widely studied in common bean using QTL analysis, and GWAS ( Gonzalez et al, 2017 ; Izquierdo et al, 2018 ; Gunjača et al, 2021 ). QTL mapping is an excellent strategy for gene mapping in this case because only a bi-parental population and a small set of markers are necessary a bi-parental population and a small set of markers, which are utilized to identify the genomic regions that segregate with a trait.…”

Section: Discussionmentioning

confidence: 99%

Genetic Correlation Between Fe and Zn Biofortification and Yield Components in a Common Bean (Phaseolus vulgaris L.)

et al. 2022

View full text Add to dashboard Cite

Common bean (Phaseolus vulgaris L.) is the most important legume for direct human consumption worldwide. It is a rich and relatively inexpensive source of proteins and micronutrients, especially iron and zinc. Bean is a target for biofortification to develop new cultivars with high Fe/Zn levels that help to ameliorate malnutrition mainly in developing countries. A strong negative phenotypic correlation between Fe/Zn concentration and yield is usually reported, posing a significant challenge for breeders. The objective of this study was to investigate the genetic relationship between Fe/Zn. We used Quantitative Trait Loci (QTLs) mapping and Genome-Wide Association Studies (GWAS) analysis in three bi-parental populations that included biofortified parents, identifying genomic regions associated with yield and micromineral accumulation. Significant negative correlations were observed between agronomic traits (pod harvest index, PHI; pod number, PdN; seed number, SdN; 100 seed weight, 100SdW; and seed per pod, Sd/Pd) and micronutrient concentration traits (SdFe and SdZn), especially between pod harvest index (PHI) and SdFe and SdZn. PHI presented a higher correlation with SdN than PdN. Seventy-nine QTLs were identified for the three populations: 14 for SdFe, 12 for SdZn, 13 for PHI, 11 for SdN, 14 for PdN, 6 for 100SdW, and 9 for Sd/Pd. Twenty-three hotspot regions were identified in which several QTLs were co-located, of which 13 hotpots displayed QTL of opposite effect for yield components and Fe/Zn accumulation. In contrast, eight QTLs for SdFe and six QTLs for SdZn were observed that segregated independently of QTL of yield components. The selection of these QTLs will enable enhanced levels of Fe/Zn and will not affect the yield performance of new cultivars focused on biofortification.

show abstract

“…Similarly, a set of 174 accessions of Croatian common bean land races were phenotyped for seed contents of eight micronutrients (Mn, Zn, Fe, Mg, Ca, K, N, P) and genotyped using 6,311 high-quality diversity array-derived SNPs markers. GWAS identified 22 quantitative trait nucleotide (QTNs) for grain nitrogen content, 5 for phosphorous content, and 1 for calcium were identified whereas no QTNs were observed for other micronutrients (144).…”

Section: Role Of Genome-wide Association Studies In Biofortificationmentioning

confidence: 99%

Biofortification of Cereals and Pulses Using New Breeding Techniques: Current and Future Perspectives

et al. 2021

View full text Add to dashboard Cite

Cereals and pulses are consumed as a staple food in low-income countries for the fulfillment of daily dietary requirements and as a source of micronutrients. However, they are failing to offer balanced nutrition due to deficiencies of some essential compounds, macronutrients, and micronutrients, i.e., cereals are deficient in iron, zinc, some essential amino acids, and quality proteins. Meanwhile, the pulses are rich in anti-nutrient compounds that restrict the bioavailability of micronutrients. As a result, the population is suffering from malnutrition and resultantly different diseases, i.e., anemia, beriberi, pellagra, night blindness, rickets, and scurvy are common in the society. These facts highlight the need for the biofortification of cereals and pulses for the provision of balanced diets to masses and reduction of malnutrition. Biofortification of crops may be achieved through conventional approaches or new breeding techniques (NBTs). Conventional approaches for biofortification cover mineral fertilization through foliar or soil application, microbe-mediated enhanced uptake of nutrients, and conventional crossing of plants to obtain the desired combination of genes for balanced nutrient uptake and bioavailability. Whereas, NBTs rely on gene silencing, gene editing, overexpression, and gene transfer from other species for the acquisition of balanced nutritional profiles in mutant plants. Thus, we have highlighted the significance of conventional and NBTs for the biofortification of cereals and pulses. Current and future perspectives and opportunities are also discussed. Further, the regulatory aspects of newly developed biofortified transgenic and/or non-transgenic crop varieties via NBTs are also presented.

show abstract

Genome-Wide Association Studies of Mineral Content in Common Bean

Cited by 29 publications

References 88 publications

Genome-wide association studies dissect the genetic architecture of seed shape and size in common bean

Genome-wide association studies dissect the genetic architecture of seed shape and size in common bean

Genetic Correlation Between Fe and Zn Biofortification and Yield Components in a Common Bean (Phaseolus vulgaris L.)

Biofortification of Cereals and Pulses Using New Breeding Techniques: Current and Future Perspectives

Contact Info

Product

Resources

About