Molecular characterization of the Puroindoline a-D1b allele and development of an STS marker in wheat (Triticum aestivum L.)

An Overview of Factors Affecting the Functional Quality of Common Wheat (Triticum aestivum L.)

Wheat (Triticum aestivum L.) is one of the most important crops worldwide, and, as a resilient cereal, it grows in various climatic zones. Due to changing climatic conditions and naturally occurring environmental fluctuations, the priority problem in the cultivation of wheat is to improve the quality of the crop. Biotic and abiotic stressors are known factors leading to the deterioration of wheat grain quality and to crop yield reduction. The current state of knowledge on wheat genetics shows significant progress in the analysis of gluten, starch, and lipid genes responsible for the synthesis of the main nutrients in the endosperm of common wheat grain. By identifying these genes through transcriptomics, proteomics, and metabolomics studies, we influence the creation of high-quality wheat. In this review, previous works were assessed to investigate the significance of genes, puroindolines, starches, lipids, and the impact of environmental factors, as well as their effects on the wheat grain quality.

A single-base change at a splice site in Wx-A1 caused incorrect RNA splicing and gene inactivation in a wheat EMS mutant line

An EMS-induced single-base mutation at a splice site caused abnormal RNA splicing and resulted in the gene inactivation and the lack of Wx-A1 protein in a wheat EMS mutant line. An EMS-mutagenized population was generated using common wheat cv. SM126 consisting of 10,600 M2 plants. One Wx-A1 null mutant was identified through analyses of 390 grains produced from 130 M2 plants using electrophoresis analyses. The Wx-A1 sequences of parental line SM126 and M2-31 mutant were determined as 2781 bp, and there was only one SNP mutation between them. The SNP was a mutation from G to A at nucleotide sequence position 2168 bp (G2168A) downstream of the start codon which was located at the splicing site within the eighth intron. All 52 cDNA transcripts were found to be incorrectly spliced and can be summarized as five types of variations. The deletion of the exon and the exclusion of intron were structural features in abnormal splicing RNA. Together with the prediction of potential splice regulatory motifs, the mutation G2168A happened within the 5' splice site of the eighth intron and destroyed the splice donor site from GU to AU, which may have brought about a barrier against correct RNA splice, and generated abnormal mRNA, which was the mechanism of the inactivation of Wx-A1 in M2-31. The lack of Wx-A1 has resulted in changes in starch properties in the M2-31 mutant, with the reduction in amylose and starch contents. The increased grains hardness was observed in M2-31, which may be related to the lower expression level of Pinb-D1 gene. As the waxy wheat foods have a lot of advantages, the null waxy genes will be widely applied in breeding waxy wheat for varied amylose contents.

Development of a set of PCR markers specific to Aegilops longissima chromosome arms and application in breeding a translocation line

Transcriptome data were used to develop 134 Aegilops longissima specific PCR markers and their comparative maps were constructed by contrasting with the homologous genes in the wheat B genome. Three wheat- Ae. longissima 1BL·1S ^l S translocation lines were identified using the correspondence markers. Aegilops longissima is an important wild species of common wheat that harbors many genes that can be used to improve various traits of common wheat (Triticum aestivum L.). To efficiently transfer the traits conferred by these Ae. longissima genes into wheat, we sequenced the whole expression transcript of Ae. longissima. Using the transcriptome data, we developed 134 specific polymerase chain reaction markers located on the 14 chromosome arms of Ae. longissima. These novel molecular markers were assigned to specific chromosome locations based on a comparison with the homologous genes in the B genome of wheat. Annotation of these genes showed that most had functions related to metabolic processes, hydrolase activity, or catalytic activity. Additionally, we used these markers to identify three wheat-Ae. longissima 1BL·1S^lS translocation lines in somatic variation populations resulting from a cross between wheat cultivar Westonia and a wheat-Ae. longissima substitution line 1S^l(1B). The translocation lines had several low molecular weight glutenin subunits encoding genes beneficial to flour processing quality that came from Ae. longissima 1S^lS. The three translocation lines were also confirmed by genomic in situ hybridization. These translocation lines will be further evaluated for potential quality improvement of bread-making properties of wheat.

Development and comparative genomic mapping of Dasypyrum villosum 6V#4S-specific PCR markers using transcriptome data

Twenty-five Dasypyrum villosum 6V#4S-specific PCR markers were developed using transcriptome data and further assigned to comparative genomic maps of wheat chromosome 6A, 6B, and 6D and barley chromosome 6H contrasting their homologous genes in these genomes. Two Dasypyrum villosum accessions, D.v#2 and No. 1026 from England and Russia, respectively, contain Pm21 on chromosome 6V#2S and PmV on chromosome 6V#4S. Both genes confer high resistance to powdery mildew (PM) in wheat. Even though several molecular markers have been developed to detect Pm21 and PmV, only the MBH1 marker can simultaneously detect both Pm21 and PmV. In this study, we first used a high-throughput sequencing technique to obtain the transcriptome sequences of a wheat-D. villosum translocation line, Pm97033-which contains chromosome 6V#4S carrying the PmV locus, under wheat PM pathogen induction. Twenty-five 6V#4S chromosome-specific markers were developed. Three of them were able to clearly distinguish chromosomes 6V#4S and 6V#2S by product size, four amplified the product specific for chromosome 6V#4S only, and the remaining 18 markers identified chromosome 6VS in wheat backgrounds. Two different D. villosum accessions, their derived translocation lines and wheat varieties carrying different chromosome 6VS were identified using these specific markers. The 25 newly developed markers together with the known PM resistance gene Stpk-V were used to construct comparative genomic maps with the homoeologous chromosome arms of wheat and barley. The colinearity of the identified gene sequences amplified by the 25 markers among wheat chromosomes 6A, 6B, and 6D and barley chromosome 6H was not very conserved and interrupted frequently by inversion and insertion. Our markers have potential in marker assisted selection for PM resistance breeding, and for locating other potential important genes and cloning the PmV gene on chromosome 6V#4S.

Diversity, distribution of Puroindoline genes and their effect on kernel hardness in a diverse panel of Chinese wheat germplasm

BACKGROUND

Kernel hardness, which has great influence on the end-use properties of common wheat, is mainly controlled by Puroindoline genes, Pina and Pinb. Using EcoTILLING platform, we herein investigated the allelic variations of Pina and Pinb genes and their association with the Single Kernel Characterization System (SKCS) hardness index in a diverse panel of wheat germplasm.

RESULTS

The kernel hardness varied from 1.4 to 102.7, displaying a wide range of hardness index. In total, six Pina and nine Pinb alleles resulting in 15 genotypes were detected in 1787 accessions. The most common alleles are the wild type Pina-D1a (90.4%) and Pina-D1b (7.4%) for Pina, and Pinb-D1b (43.6%), Pinb-D1a (41.1%) and Pinb-D1p (12.8%) for Pinb. All the genotypes have hard type kernel hardness of SKCS index (>60.0), except the wild types of Pina and Pinb combination (Pina-D1a/Pinb-D1a). The most frequent genotypes in Chinese and foreign cultivars was Pina-D1a/Pinb-D1b (46.3 and 39.0%, respectively) and in Chinese landraces was Pina-D1a/Pinb-D1a (54.2%). The frequencies of hard type accessions are increasing from 35.5% in the region IV, to 40.6 and 61.4% in the regions III and II, and then to 77.0% in the region I, while those of soft type are accordingly decreasing along with the increase of latitude. Varieties released after 2000 in Beijing, Hebei, Shandong and Henan have higher average kernel hardness index than that released before 2000.

CONCLUSION

The kernel hardness in a diverse panel of Chinese wheat germplasm revealed an increasing of kernel hardness generally along with the latitude across China. The wild type Pina-D1a and Pinb-D1a, and one Pinb mutant (Pinb-D1b) are the most common alleles of six Pina and nine Pinb alleles, and a new double null genotype (Pina-D1x/Pinb-D1ah) possessed relatively high SKCS hardness index. More hard type varieties were released in recent years with different prevalence of Pin-D1 combinations in different regions. This work would benefit the understanding of the selection and molecular processes of kernel hardness across China and different breeding stages, and provide useful information for the improvement of wheat quality in China.

Genome-Wide QTL Mapping for Wheat Processing Quality Parameters in a Gaocheng 8901/Zhoumai 16 Recombinant Inbred Line Population

Dough rheological and starch pasting properties play an important role in determining processing quality in bread wheat (Triticum aestivum L.). In the present study, a recombinant inbred line (RIL) population derived from a Gaocheng 8901/Zhoumai 16 cross grown in three environments was used to identify quantitative trait loci (QTLs) for dough rheological and starch pasting properties evaluated by Mixograph, Rapid Visco-Analyzer (RVA), and Mixolab parameters using the wheat 90 and 660 K single nucleotide polymorphism (SNP) chip assays. A high-density linkage map constructed with 46,961 polymorphic SNP markers from the wheat 90 and 660 K SNP assays spanned a total length of 4121 cM, with an average chromosome length of 196.2 cM and marker density of 0.09 cM/marker; 6596 new SNP markers were anchored to the bread wheat linkage map, with 1046 and 5550 markers from the 90 and 660 K SNP assays, respectively. Composite interval mapping identified 119 additive QTLs on 20 chromosomes except 4D; among them, 15 accounted for more than 10% of the phenotypic variation across two or three environments. Twelve QTLs for Mixograph parameters, 17 for RVA parameters and 55 for Mixolab parameters were new. Eleven QTL clusters were identified. The closely linked SNP markers can be used in marker-assisted wheat breeding in combination with the Kompetitive Allele Specific PCR (KASP) technique for improvement of processing quality in bread wheat.

Molecular characterization of the puroindoline-a and b alleles in synthetic hexaploid wheats and in silico functional and structural insights into Pina-D1

Kernel hardness determined by two tightly linked Puroindoline genes, Pina-D1 and Pinb-D1, located on chromosome 5DS define commercially important characteristics, uses, major grades and export markets of wheat. This study was conducted to characterize Pina-D1 and Pinb-D1 alleles, in fifteen synthetic hexaploid wheats (SHWs) and its relation with grain hardness. Additionally, in silico functional analyses of puroindoline-a protein was conducted for better understanding of their putative importance in grain quality. Six different Pina-D1 alleles were identified in the SHWs, of which three i.e. Pina-D1a, Pina-D1c and Pina-D1d were already known whereas the other three had new sequence polymorphisms and were designated as Pina-D1w, Pina-D1x and Pina-D1y. Three different Pinb-D1 alleles were identified which have been reported earlier and no novel sequence polymorphism was detected. It was concluded that despite some primary, secondary and 3D structure variations, ligand binding sites and disulfide bonds discrepancies, the main features of PINA, i.e. the tryptophan-rich domain, the cysteine backbone, the signal peptide and basic identity of the proteins were all conserved. In silico analysis showed that puroindolines having binding capacity with small parts of prolamins causing celiac disease of human, however their potential role is not obvious. Conclusively, the new Pina-D1 alleles with modest effect on grain hardness, and insight into their functional and structural characteristics are important findings and their putative role in celiac disease require further studies to validate.

Discovery, distribution and diversity of Puroindoline-D1 genes in bread wheat from five countries (Triticum aestivum L.)

BACKGROUND

Grain texture is one of the most important characteristics in bread wheat (Triticum aestivum L.). Puroindoline-D1 genes play the main role in controlling grain texture and are intimately associated with the milling and processing qualities in bread wheat.

RESULTS

A series of diagnostic molecular markers and dCAPS markers were used to characterize Pina-D1 and Pinb-D1 in 493 wheat cultivars from diverse geographic locations. A primer walking strategy was used to characterize PINA-null alleles at the DNA level. Results indicated that Chinese landraces encompassing 12 different Puroindoline-D1 allelic combinations showed the highest diversity, while CIMMYT wheat cultivars containing 3 different Puroindoline-D1 allelic combinations showed the lowest diversity amongst wheat cultivars from the five countries surveyed. Two novel Pina-D1 alleles, designated Pina-D1s with a 4,422-bp deletion and Pina-D1u with a 6,460-bp deletion in the Ha (Hardness) locus, were characterized at the DNA level by a primer walking strategy, and corresponding molecular markers Pina-N3 and Pina-N4 were developed for straightforward identification of the Pina-D1s and Pina-D1u alleles. Analysis of the association of Puroindoline-D1 alleles with grain texture indicated that wheat cultivars with Pina-null/Pinb-null allele, possessing an approximate 33-kb deletion in the Ha locus, have the highest SKCS hardness index amongst the different genotypes used in this study. Moreover, wheat cultivars with the PINA-null allele have significantly higher SKCS hardness index than those of Pinb-D1b and Pinb-D1p alleles.

CONCLUSIONS

Molecular characterization of the Puroindoline-D1 allele was investigated in bread wheat cultivars from five geographic regions, resulting in the discovery of two new alleles - Pina-D1s and Pina-D1u. Molecular markers were developed for both alleles. Analysis of the association of the Puroindoline-D1 alleles with grain texture showed that cultivars with PINA-null allele possessed relatively high SKCS hardness index. This study can provide useful information for the improvement of wheat quality, as well as give a deeper understanding of the molecular and genetic processes controlling grain texture in bread wheat.

Alveograph and Mixolab parameters associated with Puroindoline-D1 genes in Chinese winter wheats

BACKGROUND

Grain texture is one of the most important characteristics of bread wheat and has a significant influence on end-use qualities.

RESULTS

Forty-three Chinese cultivars were tested under three environments and used to characterise kernel hardness, Puroindoline-D1 alleles and Alveograph and Mixolab parameters. The results indicated that SKCS hardness was positively correlated with Alveograph tenacity and P/L and Mixolab protein weakening (C2) and water absorption and negatively correlated with Mixolab starch gelatinisation (C3), amylasic activity (C4) and starch gelling (C5). Variance analysis showed that Puroindoline-D1 had a significant impact on SKCS hardness and most Alveograph and Mixolab parameters. Furthermore, among three Puroindoline-D1 genotypes, PINA-null/Pinb-D1a possessed the highest SKCS hardness, Alveograph tenacity and W and Mixolab stability and water absorption but the lowest Alveograph extensibility and G and Mixolab C3, C4 and C5. Pina-D1a/Pinb-D1a had the lowest SKCS hardness, Alveograph tenacity and W and Mixolab C2, water absorption and stability but the highest Alveograph extensibility and G and Mixolab C3, C4 and C5. Pina-D1a/Pinb-D1b possessed the lowest Mixolab C2 - C1, C3 - C2, C4 - C3 and C5 - C4.

CONCLUSION

Pina-D1a/Pinb-D1a was softer and had lower tenacity and water absorption. PINA-null/Pinb-D1a was harder and had higher tenacity and water absorption. Pina-D1a/Pinb-D1b had lower difference values among Mixolab parameters.