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Seed traits are very important agronomic traits that contribute significantly into crop yield and are considered useful indicators to monitor the inheritance of quantitative traits influenced by genotype and environmental conditions. To investıgate genomic regions useful for breeding high-yielding and highly nutritious common bean (Phaseolus vulgaris L.) cultivars, a mini core collection of Turkish common bean germplasm was screened under five environments and two locations for seed traits (seed width, seed yield/plant (SYP), and hundred seed weight). The results of analysis of variance (ANOVA) across the environments revealed significant effects of genotypes and genotype by environment interaction (G × E) for all studied traits except hundred seed weight (HSW), where G × E was found nonsignificant. During this study, mean seed width, SYP, and HSW were 7.038 mm, 21.815 g, and 42.1 g, respectively. Pearson's correlation coefficient revealed a significant and positive correlation (p = 0.01) of seed width with SYP and HSW. At the provinces level, minimum and maximum HSW was reflected by Elazığ and Bolu provinces, respectively. Studied germplasm was grouped into two populations in constellation analysis based on their HSW. A total of 7900 DArTseq markers identified through genotyping by sequencing (GBS) were used for the investigation of marker-trait association. DArT-3373385 marker present on chromosome Pv08 showed a significant association for seed width. DArT-8215545 marker showed a significant association for SYP and this marker was also present on chromosome Pv08. A total of four DArTseq markers were determined to be associated with HSW, and DArT-3372052 contributed maximum (11.32%) to phenotypic variations. We believe that the reported genomic regions will be helpful for future marker-assisted breeding regarding yield-related traits in common bean. [ABSTRACT FROM AUTHOR]

Magnesium (Mg) is the fourth most abundant element in the human body and plays the role of cofactor for more than 300 enzymatic reactions. In plants, Mg is involved in various key physiological and biochemical processes like growth, development, photophosphorylation, chlorophyll formation, protein synthesis, and resistance to biotic and abiotic stresses. Keeping in view the importance of this element, the present investigation aimed to explore the Mg contents diversity in the seeds of Turkish common bean germplasm and to identify the genomic regions associated with this element. A total of 183 common bean accessions collected from 19 provinces of Turkey were used as plant material. Field experiments were conducted according to an augmented block design during 2018 in two provinces of Turkey, and six commercial cultivars were used as a control group. Analysis of variance depicted that Mg concentration among common bean accessions was statistically significant (p < 0.05) within each environment, however genotype x environment interaction was nonsignificant. A moderate level (0.60) of heritability was found in this study. Overall mean Mg contents for both environments varied from 0.33 for Nigde-Dermasyon to 1.52 mg kg-1 for Nigde-Derinkuyu landraces, while gross mean Mg contents were 0.92 mg kg-1. At the province level, landraces from Bolu were rich while the landraces from Bitlis were poor in seed Mg contents respectively. The cluster constellation plot divided the studied germplasm into two populations on the basis of their Mg contents. Marker-trait association was performed using a mixed linear model (Q + K) with a total of 7,900 DArTseq markers. A total of six markers present on various chromosomes (two at Pv01, and one marker at each chromosome i.e., Pv03, Pv07, Pv08, Pv11) showed statistically significant association for seed Mg contents. Among these identified markers, the DArT-3367607 marker present on chromosome Pv03 contributed to maximum phenotypic variation (7.5%). Additionally, this marker was found within a narrow region of previously reported markers. We are confident that the results of this study will contribute significantly to start common bean breeding activities using marker assisted selection regarding improved Mg contents. [ABSTRACT FROM AUTHOR]

Human being has strong and historic connections with plants to fulfill food, feed, and shelter. Moreover, human uses plants as medicine for the treatment of various diseases. Plants are chemical factories for the biosynthesis of the huge number of secondary metabolites (SMs) that are directly used as a medicine or indirectly used in the development of commercial pharmaceutical drugs. Their improvement through classical breeding remains a difficult struggle for plant breeders. Hence, rapidly advancing research on the plant omics era has accelerated our understanding of the complex structure of SMs synthesis in medicinal and aromatic plants (MAPs). In addition, sequencing technologies and the completion of several genome sequences of MAPs have opened numerous opportunities for fine mapping and gene characterization. The accessibility of these technologies together with research of quantitative trait loci (QTL) and candidate genes for key characteristics such as SMs content and biologic activity and resistance to biotic and abiotic stresses pave the way for the development of new strategies for the improvement of MAPs. To explore the knowledge of SMs in MAPs, several reviews have been published over the last three decades for researchers with advanced knowledge of plant biotechnology. However, this review has offered a summary of the recent developments, limitations, and future potential in molecular breeding of MAPs species and their application to plant breeding. [ABSTRACT FROM AUTHOR]

Human body needs sufficient quantity of protein on daily basis for the normal functioning. Dietary protein in sufficient quantity is becoming a key issue for huge population of the world particularly in developing countries. Present investigation aimed to explore the phenotypic variation and to investigate the genomic regions associated with seed protein contents in Turkish common bean germplasm collected from 19 provinces. Field experiments were conducted according to augmented block design at two locations (Bolu and Sivas) for two consecutive years (2017 and 2018). Analysis of variance revealed highly significant environmental effects (p < 0.05) on seed protein contents within environments, while genotype by environment interaction revealed nonsignificant effects. Overall mean protein contents were 36.36%, while Balikesir-3 and Hakkari-38 yielded minimum (31.64%) and maximum (40.70%) protein contents. Among 19 provinces, accessions from Hakkari and Erzincan provinces disclosed maximum and minimum mean protein contents respectively. Scatter plot between seed protein contents and plant height divided the accessions according to their protein contents and plant height. A total of eight stable accessions were selected and can be recommended for future breeding activities. The implemented constellation plot separated the studied germplasm into two populations on the basis of their protein contents. Genotyping by sequencing resulted 7900 DArTseq markers was used for marker-trait association and a total of 11 markers showed significant association for protein contents. During this study, DArT-3365703 marker was identified in both locations (Sivas and Bolu) during 2017 and might be used for future common bean breeding. Physical map revealed the presence narrow regions between identified markers on Pv02 and Pv05. Therefore, these regions should be considered for future breeding activities. We are confident that results of present study will be helpful for marker-assisted breeding of common bean. [ABSTRACT FROM AUTHOR]

Potato is an important noncereal staple crop serving as a source of food for a large number of the world's population. Genomewide association study (GWAS) analysis has become a useful tool to uncover the genetic basis of important plant traits by revealing significant association with the trait of interest. The present study aimed to explore the phenotypic diversity and to identify the genetic basis associated with important floral traits. A total of 237 tetraploid potato genotypes were used as plant material, and field experiments were conducted according to augmented block design for two consecutive years (2016, 2017). Analysis of variance for the studied floral traits reflected highly significant genotypic effects. Mean data for both years revealed the significant variation for pistil length (5.53 to 9.92 mm), stamen length (6.04 to 9.26 mm), and pistil length above stamen (1.31 to 4.47 mm). Pearson's correlation analysis reflected a highly significant and positive correlation of pistil length with stamen length (r = 0.42) and pistil length above stamen (r = 0.28). Principal component analysis was performed, and the first two PCs were considered accounting for a total of 81.2% variation. Constellation plot divided the studied potato panel into two main populations on the basis of stamen and pistil length. A total of 12,720SNP markers were used for the marker-trait association, and a total of 15 markers were found significantly associated with studied traits across both years. Identifying the same markers across both years helped in the validation of the obtained marker-trait associations. The identified significant markers reflected some of the putative candidate genes that might be beneficial in potato breeding programs. To the best of our knowledge, this is the first study identifying the genetic basis of important floral traits and might be helpful to the scientific community interested in potato marker-assisted breeding in these traits. [ABSTRACT FROM AUTHOR]

Safflower is an important oilseed crop mainly grown in the arid and semi-arid regions of the world. The aim of this study was to explore phenotypic and genetic diversity, population structure, and marker-trait association for 100-seed weight in 94 safflower accessions originating from 26 countries using silicoDArT markers. Analysis of variance revealed statistically significant genotypic effects (p < 0.01), while Turkey samples resulted in higher 100-seed weight compared to Pakistan samples. A Constellation plot divided the studied germplasm into two populations on the basis of their 100-seed weight. Various mean genetic diversity parameters including observed number of alleles (1.99), effective number of alleles (1.54), Shannon's information index (0.48), expected heterozygosity (0.32), and unbiased expected heterozygosity (0.32) for the entire population exhibited sufficient genetic diversity using 12232 silicoDArT markers. Analysis of molecular variance (AMOVA) revealed that most of the variations (91%) in world safflower panel are due to differences within country groups. A model-based structure grouped the 94 safflower accessions into populations A, B, C and an admixture population upon membership coefficient. Neighbor joining analysis grouped the safflower accessions into two populations (A and B). Principal coordinate analysis (PCoA) also clustered the safflower accessions on the basis of geographical origin. Three accessions; Egypt-5, Egypt-2, and India-2 revealed the highest genetic distance and hence might be recommended as candidate parental lines for safflower breeding programs. The mixed linear model i.e., the Q + K model, demonstrated that two DArTseq markers (DArT-45483051 and DArT-15672391) had significant association (p < 0.01) for 100-seed weight. We envisage that identified DArTseq markers associated with 100-seed weight will be helpful to develop high-yielding cultivars of safflower through marker-assisted breeding in the near future. [ABSTRACT FROM AUTHOR]

Antioxidants play an important role in animal and plant life owing to their involvement in complex metabolic and signaling mechanisms, hence uncovering the genetic basis associated with antioxidant activity is very important for the development of improved varieties. Here, a total of 182 common bean (Phaseolus vulgaris) landraces and six commercial cultivars collected from 19 provinces of Turkey were evaluated for seed antioxidant activity under four environments and two locations. Antioxidant activity was measured using ABTS radical scavenging capacity and mean antioxidant activity in common bean landraces was 20.03 µmol TE/g. Analysis of variance reflected that genotype by environment interaction was statistically non-significant and heritability analysis showed higher heritability of antioxidant activity. Variations in seed color were observed, and a higher antioxidant activity was present in seeds having colored seed as compared to those having white seeds. A negative correlation was found between white-colored seeds and antioxidant activity. A total of 7900 DArTseq markers were used to explore the population structure that grouped the studied germplasm into two sub-populations on the basis of their geographical origins and trolox equivalent antioxidant capacity contents. Mean linkage disequilibrium (LD) was 54%, and mean LD decay was 1.15 Mb. Mixed linear model i.e., the Q + K model demonstrated that four DArTseq markers had significant association (p < 0.01) for antioxidant activity. Three of these markers were present on chromosome Pv07, while the fourth marker was located on chromosome Pv03. Among the identified markers, DArT-3369938 marker showed maximum (14.61%) variation. A total of four putative candidate genes were predicted from sequences reflecting homology to identified DArTseq markers. This is a pioneering study involving the identification of association for antioxidant activity in common bean seeds. We envisage that this study will be very helpful for global common bean breeding community in order to develop cultivars with higher antioxidant activity. [ABSTRACT FROM AUTHOR]