Genome-wide identification and expression analysis of the anthocyanin-related genes during seed coat development in six Brassica species

Yellow seed is one favorite trait for the breeding of Brassica oilseed crops, but the performance of seed coat color is very complicated due to the involvement of various pigments. The change of seed coat color of Brassica crops is related to the specific synthesis and accumulation of anthocyanin, and the expression level of structural genes in anthocyanin synthesis pathway is specifically regulated by transcription factors. Despite some previous reports on the regulations of seed coat color from linkage marker development, gene fine-mapping and multi-omics association analysis, the trait of Brassica crops is affected by the evolutionary events such as genome triploidization, the regulatory mechanism is still largely unknown. In this study, we identified genes related to anthocyanin synthesis in six Brassica crops in U-triangle at the genome-wide level and performed collinearity analysis. A total of 1119 anthocyanin-related genes were identified, the collinear relationship of anthocyanin-related genes on subgenomic chromosomes was the best in B. napus (AACC) and the worst in B. carinata (BBCC). The comparisons of gene expressions for anthocyanin metabolic pathways in seed coats during seed development revealed differences in its metabolism among these species. Interestingly, the R2R3-MYB transcription factors MYB5 and TT2 were differentially expressed at all eight stages of seed coat development, indicating that they might be the key genes that caused the variation of the seed coat color. The expression curve and trend analyses of the seed coat development period showed that the main reason for the unexpressed copies of MYB5 and TT2 was likely gene silencing caused by gene structural variation. These results were valuable for the genetic improvement of Brassica seed coat color, and also provided new insights into gene multicopy evolution in Brassica polyploids.

Origin and seed coat color differently affect the concentrations of metabolites and antioxidant activities in soybean (Glycine max (L.) Merrill) seeds

In this study, 54 soybean germplasms of different seed coat colors originated from America, China, Japan, and Korea were cultivated in Korea and analyzed for the contents of total oil, total protein, total phenolic, five fatty acids, and five isoflavones, and antioxidant activities using three assays. The soybeans showed significant variations (p < 0.05) of metabolite contents and antioxidant activities. Origin and seed coat color exhibited a slight or insignificant effect on total protein and total oil contents. In contrast, origin and seed coat color significantly affected the concentration of individual and total isoflavones, and total phenolics, with few exceptions. Whereas fatty acids were significantly affected by origin, seed coat color provided better information regarding the variations in antioxidant capacities. Together, multivariate and correlation analyses revealed important associations between biosynthetically-related metabolites. In general, origin and seed coat color differently influenced the concentration of different classes of metabolites and antioxidant activities.

Widely targeted metabolome profiling of different colored sesame (Sesamum indicum L.) seeds provides new insight into their antioxidant activities

Sesame seeds are considered worldwide as a functional food due to their nutritional and therapeutical values. Several physiological functions are being associated with sesame seeds and their derived products. However, the phytochemicals responsible for these various proprieties are not well understood. Thus, to acknowledge the diversity and variability of metabolites in sesame seeds of different colors and reveal key metabolites and pathways contributing to differences in antioxidant activities, black, brown, yellow, and white sesame seeds from 12 varieties were subjected to LC-MS/MS-based widely targeted metabolomics analysis. Totally, 671 metabolites were identified and chemically classified. The metabolic compounds varied significantly with the seed coat color and genotype. Many flavonoids, amino acids, and terpenoids were up-regulated in dark seeds. Sixty key differential metabolites were filtered out. Phenylpropanoid biosynthesis, amino acids biosynthesis, and tyrosine metabolism were the main differently regulated pathways. The DPPH, ABTS, and FRAP assays showed that the antioxidant activities of the seeds increased with the seed coat darkness. Therefore, the pharmacological proprieties of black seeds might be related to their high content of flavonoids and essential amino acids mostly. These findings expand phytochemicals composition information of different colored sesame seeds and provide resources for their comprehensive use and quality improvement.

Mapping pre-harvest sprouting resistance loci in AAC Innova × AAC Tenacious spring wheat population

Background

Pre-harvest sprouting (PHS) is a major problem for wheat production due to its direct detrimental effects on wheat yield, end-use quality and seed viability. Annually, PHS is estimated to cause > 1.0 billion USD in losses worldwide. Therefore, identifying PHS resistance quantitative trait loci (QTLs) is crucial to aid molecular breeding efforts to minimize losses. Thus, a doubled haploid mapping population derived from a cross between white-grained PHS susceptible cv AAC Innova and red-grained resistant cv AAC Tenacious was screened for PHS resistance in four environments and utilized for QTL mapping.

Results

Twenty-one PHS resistance QTLs, including seven major loci (on chromosomes 1A, 2B, 3A, 3B, 3D, and 7D), each explaining ≥10% phenotypic variation for PHS resistance, were identified. In every environment, at least one major QTL was identified. PHS resistance at most of these loci was contributed by AAC Tenacious except at two loci on chromosomes 3D and 7D where it was contributed by AAC Innova. Thirteen of the total twenty-one identified loci were located to chromosome positions where at least one QTL have been previously identified in other wheat genotype(s). The remaining eight QTLs are new which have been identified for the first time in this study. Pedigree analysis traced several known donors of PHS resistance in AAC Tenacious genealogy. Comparative analyses of the genetic intervals of identified QTLs with that of already identified and cloned PHS resistance gene intervals using IWGSC RefSeq v2.0 identified MFT-A1b (in QTL interval QPhs.lrdc-3A.1) and AGO802A (in QTL interval QPhs.lrdc-3A.2) on chromosome 3A, MFT-3B-1 (in QTL interval QPhs.lrdc-3B.1) on chromosome 3B, and AGO802D, HUB1, TaVp1-D1 (in QTL interval QPhs.lrdc-3D.1) and TaMyb10-D1 (in QTL interval QPhs.lrdc-3D.2) on chromosome 3D. These candidate genes are involved in embryo- and seed coat-imposed dormancy as well as in epigenetic control of dormancy.

Conclusions

Our results revealed the complex PHS resistance genetics of AAC Tenacious and AAC Innova. AAC Tenacious possesses a great reservoir of important PHS resistance QTLs/genes supposed to be derived from different resources. The tracing of pedigrees of AAC Tenacious and other sources complements the validation of QTL analysis results. Finally, comparing our results with previous PHS studies in wheat, we have confirmed the position of several major PHS resistance QTLs and candidate genes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-021-08209-6.

Comparative transcriptome and flavonoids components analysis reveal the structural genes responsible for the yellow seed coat color of Brassica rapa L

Background

Seed coat color is an important horticultural trait in Brassica crops, which is divided into two categories: brown/black and yellow. Seeds with yellow seed coat color have higher oil quality, higher protein content and lower fiber content. Yellow seed coat color is therefore considered a desirable trait in hybrid breeding of Brassica rapa, Brassica juncea and Brassica napus.

Methods

Comprehensive analysis of the abundance transcripts for seed coat color at three development stages by RNA-sequencing (RNA-seq) and corresponding flavonoids compounds by liquid chromatography-tandem mass spectrometry (LC-MS/MS) were carried out in B. rapa.

Results

We identified 41,286 unigenes with 4,989 differentially expressed genes between brown seeds (B147) and yellow seeds (B80) at the same development stage. Kyoto Encyclopedia of Genes and Genomes enrichment analysis identified 19 unigenes associated with the phenylpropanoid, flavonoid, flavone and flavonol biosynthetic pathways as involved in seed coat color formation. Interestingly, expression levels of early biosynthetic genes (BrCHS, BrCHI, BrF3H, BrF3’H and BrFLS) in the flavonoid biosynthetic pathway were down-regulated while late biosynthetic genes (BrDFR, BrLDOX and BrBAN) were hardly or not expressed in seeds of B80. At the same time, BrTT8 and BrMYB5 were down-regulated in B80. Results of LC-MS also showed that epicatechin was not detected in seeds of B80. We validated the accuracy of our RNA-seq data by RT-qPCR of nine critical genes. Epicatechin was not detected in seeds of B80 by LC-MS/MS.

Conclusions

The expression levels of flavonoid biosynthetic pathway genes and the relative content of flavonoid biosynthetic pathway metabolites clearly explained yellow seed color formation in B. rapa. This study provides a foundation for further research on the molecular mechanism of seed coat color formation.

Use of near-infrared spectroscopy for the rapid evaluation of soybean [Glycine max (L.) Merri.] water soluble protein content

Water soluble protein content (WSPC) is a parameter of great significance to the soybean food industry. So far, genetic studies and breeding practices have been limited by the lack of a rapid technique for the evaluation of WSPC. Near-infrared reflectance spectroscopy (NIRS) is widely applied for rapid quantification of many traits, including moisture, protein and oil content, and dietary fiber. The present study aimed to establish and evaluate a NIRS regression model for the rapid prediction of WSPC in soybean. Results showed that seed coat color had a profound impact on the accuracy of protein content prediction, whereas the seed coat itself deeply influenced protein determination. We established a partial least squares (PLS) regression model with 167 soybean samples whose seed coat had been removed. Based on multiplicative scatter correction and Savitsky-Golay transformation, the highest determination coefficient (R2) was 0.831, and the relative predictive determinant was 2.417. Further analysis showed that seed roundness correlated negatively with WSPC (r=-0.59, P<0.001) and greatly impacted PLS regression model prediction accuracy. The PLS model was suitable only for intact seeds whose coat had been peeled off, but not for broken seeds, soy powder, and green cotyledon soybean seeds. This study highlights the effect the seed coat has on soybean composition determination by NIRS. Moreover, the established PLS model for soybean WSPC determination could facilitate genetic studies and breeding.

A high-density genetic map constructed using specific length amplified fragment (SLAF) sequencing and QTL mapping of seed-related traits in sesame (Sesamum indicum L.)

BACKGROUND

Sesame (Sesamum indicum L., 2n = 2x = 26) is an important oilseed crop with high oil content but small seed size. To reveal the genetic loci of the quantitative seed-related traits, we constructed a high-density single nucleotide polymorphism (SNP) linkage map of an F₂ population by using specific length amplified fragment (SLAF) technique and determined the quantitative trait loci (QTLs) of seed-related traits for sesame based on the phenotypes of F₃ progeny.

RESULTS

The genetic map comprised 2159 SNP markers distributed on 13 linkage groups (LGs) and was 2128.51 cM in length, with an average distance of 0.99 cM between adjacent markers. QTL mapping revealed 19 major-effect QTLs with the phenotypic effect (R²) more than 10%, i.e., eight QTLs for seed coat color, nine QTLs for seed size, and two QTLs for 1000-seed weight (TSW), using composite interval mapping method. Particularly, LG04 and LG11 contained collocated QTL regions for the seed coat color and seed size traits, respectively, based on their close or identical locations. In total, 155 candidate genes for seed coat color, 22 for seed size traits, and 54 for TSW were screened and analyzed.

CONCLUSIONS

This report presents the first QTL mapping of seed-related traits in sesame using an F₂ population. The results reveal the location of specific markers associated with seed-related traits in sesame and provide the basis for further seed quality traits research.

Transcriptomic comparison between developing seeds of yellow- and black-seeded Brassica napus reveals that genes influence seed quality

BACKGROUND

Brassica napus is of substantial economic value for vegetable oil, biofuel, and animal fodder production. The breeding of yellow-seeded B. napus to improve seed quality with higher oil content, improved oil and meal quality with fewer antinutrients merits attention. Screening the genes related to this phenotype is valuable for future rapeseed breeding.

RESULTS

A total of 85,407 genes, including 4317 novel genes, were identified in the developing seeds of yellow- and black-seeded B. napus, and yellow rapeseed was shown to be an introgression line between black-seeded B. napus and yellow-seeded Sinapis alba. A total of 15,251 differentially expressed genes (DEGs) were identified among all the libraries, and 563 and 397 common DEGs were identified throughout black and yellow seed development, including 80 upregulated and 151 downregulated genes related to seed development and fatty acid accumulation. In addition, 11 up-DEGs and 31 down-DEGs were identified in all developmental stages of yellow rapeseed compared with black seed. Enrichment analysis revealed that many DEGs were involved in biosynthetic processes, pigment metabolism, and oxidation-reduction processes, such as flavonoid and phenylpropanoid biosynthesis, phenylalanine metabolism, flavone and flavonol biosynthesis, and fatty acid biosynthesis and metabolism. We found that more than 77 DEGs were related to flavonoid and lignin biosynthesis, including 4CL, C4H, and PAL, which participated in phenylalanine metabolism, and BAN, CHI/TT5, DFR, F3H, FLS, LDOX, PAP, CHS/TT4, TT5, bHLH/TT8, WD40, MYB, TCP, and CYP, which were involved in flavonoid biosynthesis. Most of these DEGs were downregulated in yellow rapeseed and were consistent with the decreased flavonoid and lignin contents. Both up- and down-DEGs related to fatty acid biosynthesis and metabolism were also analyzed, which could help to explain the improved oil content of yellow rapeseed.

CONCLUSION

This research provided comprehensive transcriptome data for yellow-seeded B. napus with a unique genetic background, and all the DEGs in comparison with the black-seeded counterpart could help to explain seed quality differences, such as lower pigmentation and lignin contents, and higher oil content.

Identification of SSR markers closely linked to the yellow seed coat color gene in heading Chinese cabbage (Brassica rapa L. ssp. pekinensis)

Research on the yellow-seeded variety of heading Chinese cabbage will aid in broadening its germplasm resources and lay a foundation for AA genome research in Brassica crops. Here, an F₂ segregating population of 1575 individuals was constructed from two inbred lines (brown-seeded ‘92S105’ and yellow-seeded ‘91-125’). This population was used to identify the linkage molecular markers of the yellow seed coat trait using simple sequence repeat (SSR) techniques combined with a bulk segregant analysis (BSA). Of the 144 SSR primer pairs on the A01-A10 chromosomes from the Brassica database (http://brassicadb.org/brad/), two pairs located on the A06 chromosome showed polymorphic bands between the bulk DNA pools of eight brown-seeded and eight yellow-seeded F₂ progeny. Based on the genome sequence, 454 SSR markers were designed to A06 to detect these polymorphic bands and were synthesized. Six SSR markers linked to the seed coat color gene were successfully selected for fine linkage genetic map construction, in which the two closest flanking markers, SSR449a and SSR317, mapped the Brsc-ye gene to a 40.2 kb region with distances of 0.07 and 0.06 cM, respectively. The molecular markers obtained in this report will assist in the marker-assisted selection and breeding of yellow-seeded lines in Brassica rapa L. and other close species.

Summary: Genetic mapping of the yellow seed coat gene Brsc-ye to a 40.2 kb region of the Chinese cabbage (Brassica rapa ssp. pekinensis) genome will allow marker-assisted selection and breeding of yellow-seeded lines.

QTL analysis of seed-flooding tolerance in soybean (Glycine max [L.] Merr.)

In soybean (Glycine max [L.] Merr.), varieties with seed-flooding tolerance at the geminating stage are desirable for breeding in countries with much rainfall at sowing time. Our study revealed great intervarietal variation in seed-flooding tolerance as evaluated by germination rate (GR) and normal seedling rate (NS). Pigmented seed coat and small seed weight tended to give a positive effect on seed-flooding tolerance. Subsequently, QTL analysis of GR and NS were performed and a total of four QTLs were detected. Among them, Sft1 on the linkage group H (LG_H) exhibited a large effect on GR after a 24-h treatment; however, Sft2 near the I locus on LG_A2 involved in seed coat pigmentation exhibited the largest effect on seed-flooding tolerance. Sft1, Sft3 and Sft4 were independent of seed coat color and seed weight. Based on the results, we discussed the physiological effects of genetic factors responsible for seed-flooding tolerance in soybean.