Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.)

The OsGW2 gene is involved in rice grain development, influencing grain width and weight. Its ortholog in wheat, TaGW2, was considered as a candidate gene related to grain development. We found that TaGW2 is constitutively expressed, with three orthologs expressing simultaneously. The coding sequence (CDS) of TaGW2 is 1,275?bp encoding a protein with 424 amino acids, and has a functional domain shared with OsGW2. No divergence was detected within the CDS sequences in the same locus in ten varieties. Genome-specific primers were designed based on the sequence divergence of the promoter regions in the three orthologous genes, and TaGW2 was located in homologous group 6 chromosomes through CS nulli-tetrasomic (NT). Two SNPs were detected in the promoter region of TaGW2-6A, forming two haplotypes: Hap-6A-A (?593A and ?739G) and Hap-6A-G (?593G and ?769A). A cleaved amplified polymorphic sequence (CAPS) marker was developed based on the ?593 A-G polymorphism to distinguish the two haplotypes in TaGW2-6A. This gene was fine mapped 0.6?cM from marker cfd80.2 near the centromere in a recombinant inbred line (RIL) population. Two hundred sixty-five Chinese wheat varieties were genotyped and association analysis revealed that Hap-6A-A was significantly associated with wider grains and higher one-thousand grain weight (TGW) in two crop seasons. qRT-PCR revealed a negative relationship between TaGW2 expression level and grain width. The Hap-6A-A frequencies in Chinese varieties released at different periods showed that it had been strongly positively selected in breeding. In landraces, Hap-6A-A is mainly distributed in southern Chinese wheat regions. Association analysis also indicated that Hap-6A-A not only increased TGW by more than 3?g, but also had earlier heading and maturity. In contrast to Chinese varieties, Hap-6A-G was the predominant haplotype in European varieties; Hap-6A-A was mainly present in varieties released in the former Yugoslavia, Italy, Bulgaria, Hungary and Portugal.     

Identification of Novel SNP in Promoter Sequence of TaGW2-6A Associated with Grain Weight and Other Agronomic Traits in Wheat (Triticum aestivum L.)

TaGW2 is an orthologue of rice gene OsGW2, which encodes E3 RING ubiquitin ligase and controls the grain size in rice. In wheat, three copies of TaGW2 have been identified and mapped on wheat homoeologous group 6 viz. TaGW2-6A, TaGW2-6B and TaGW2-6D. In the present study, using as many as 207 Indian wheat genotypes, we identified four SNPs including two novel SNPs (SNP-988 and SNP-494) in the promoter sequence of TaGW2-6A. All the four SNPs were G/A or A/G substitutions (transitions). Out of the four SNPs, SNP-494 was causal, since it was found associated with grain weight. The mean TGW (41.1 g) of genotypes with the allele SNP-494_A was significantly higher than mean TGW (38.6 g) of genotypes with the allele SNP-494_G. SNP-494 also regulates the expression of TaGW2-6A so that the wheat genotypes with SNP-494_G have higher expression and lower TGW and the genotypes with SNP-494_A have lower expression but higher TGW. Besides, SNP-494 was also found associated with grain length-width ratio, awn length, spike length, grain protein content, peduncle length and plant height. This suggested that gene TaGW2-6A not only controls grain size, but also controls other agronomic traits. In the promoter region, SNP-494 was present in ‘CGCG’ motif that plays an important role in Ca²⁺/calmodulin mediated regulation of genes. A user-friendly CAPS marker was also developed to identify the desirable allele of causal SNP (SNP-494) for use in marker-assisted selection for improvement of grain weight in wheat. Using four SNPs, five haplotypes were identified; of these, Hap_5 (G_A_G_A) was found to be a desirable haplotype having significantly higher grain weight (41.13g) relative to other four haplotypes (36.33-39.16 g).     

Assessment of differences in morphological and physiological leaf lodging characteristics between two cultivars of Hippeastrum rutilum

Kernel weight and morphology are important traits affecting cereal yields and quality. Dissecting the genetic basis of thousand kernel weight (TKW) and its related traits is an effective method to improve wheat yield. In this study, we performed quantitative trait loci (QTL) analysis using recombinant inbred lines derived from the cross ‘PuBing3228 × Gao8901’ (PG-RIL) to dissect the genetic basis of kernel traits. A total of 17 stable QTLs related to kernel traits were identified, notably, two stable QTLs QTkw.cas-1A.2 and QTkw.cas-4A explained the largest portion of the phenotypic variance for TKW and kernel length (KL), and the other two stable QTLs QTkw.cas-6A.1 and QTkw.cas-7D.2 contributed more effects on kernel width (KW). Conditional QTL analysis revealed that the stable QTLs for TKW were mainly affected by KW. The QTLs QTkw.cas-7D.2 and QKw.cas-7D.1 associated with TKW and KW were delimited to the physical interval of approximately 3.82 Mb harboring 47 candidate genes. Among them, the candidate gene TaFT-D1 had a 1 bp insertions/deletion (InDel) within the third exon, which might be the reason for diversity in TKW and KW between the two parents. A Kompetitive Allele-Specific PCR (KASP) marker of TaFT-D1 allele was developed and verified by PG-RIL and a natural population consisted of 141 cultivar/lines. It was found that the favorable TaFT-D1 (G)-allele has been positively selected during Chinese wheat breeding. Thus, these results can be used for further positional cloning and marker-assisted selection in wheat breeding programs. Seventeen stable QTLs related to kernel traits were identified. The stable QTLs for thousand kernel weight were mainly affected by kernel width. TaFT-D1 could be the candidate gene for QTLs QTkw.cas-7D.2 and QKw.cas-7D.1.     

Single nucleotide polymorphism tightly linked to a major QTL on chromosome 7A for both kernel length and kernel weight in wheat

Thousand-kernel weight (TKW) is one of the major components of grain yield in wheat (Triticum aestivum). Identifying major quantitative trait loci (QTLs) for TKW and developing effective markers are prerequisite for success in marker-assisted selection (MAS) to improve wheat yield through breeding. This study mapped a major QTL, designated as TaTKW-7AL, for increasing TKW on the long arm of chromosome 7A of ‘Clark’ to a 1.3-cM interval between single nucleotide polymorphism (SNP) markers IWB13913 and IWA5913. This QTL explained 19.7 % of the phenotypic variation for TKW. A QTL for increasing kernel length (KL), one of the major components of TKW, was mapped in the same interval as TaTKW-7AL, suggesting that increased TKW by the QTL in ‘Clark’ is most likely due to the increased KL. Association analysis on a diversity panel of 200 US winter wheat accessions also identified a haplotype of three SNP markers (IWB13913, IWB6693 and IWA5913) that were tightly associated with the both KL and TKW. The analysis of allele frequencies of the haplotype in the diversity panel suggested that the favorable allele of TaTKW-7AL has not been strongly selected for in practice and has potential to be used to improve grain yield in US hard winter wheat breeding. Two user-friendly flanking KASPar markers, IWB13913 and IWA5913, were developed for MAS of TaTKW-7AL.     

Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?

Kernel dimensions (KD) contribute greatly to thousand-kernel weight (TKW) in wheat. In the present study, quantitative trait loci (QTL) for TKW, kernel length (KL), kernel width (KW) and kernel diameter ratio (KDR) were detected by both conditional and unconditional QTL mapping methods. Two related F(8:9) recombinant inbred line (RIL) populations, comprising 485 and 229 lines, respectively, were used in this study, and the trait phenotypes were evaluated in four environments. Unconditional QTL mapping analysis detected 77 additive QTL for four traits in two populations. Of these, 24 QTL were verified in at least three trials, and five of them were major QTL, thus being of great value for marker assisted selection in breeding programmes. Conditional QTL mapping analysis, compared with unconditional QTL mapping analysis, resulted in reduction in the number of QTL for TKW due to the elimination of TKW variations caused by its conditional traits; based on which we first dissected genetic control system involved in the synthetic process between TKW and KD at an individual QTL level. Results indicated that, at the QTL level, KW had the strongest influence on TKW, followed by KL, and KDR had the lowest level contribution to TKW. In addition, the present study proved that it is not all-inclusive to determine genetic relationships of a pairwise QTL for two related/causal traits based on whether they were co-located. Thus, conditional QTL mapping method should be used to evaluate possible genetic relationships of two related/causal traits.     

Unconditional and conditional QTL analysis of kernel weight related traits in wheat (Triticum aestivum L.) in multiple genetic backgrounds

Wheat thousand kernel weight (TKW) is a complex trait, and is largely controlled by several kernel traits, including kernel length (KL) and kernel width (KW). In order to reveal the genetic relationship between TKW and these kernel traits (KW and KL) as accurate as possible, we applied both unconditional and conditional mapping analyses to three distinct genetic populations, one DH population and two RIL populations. This report describes the identifications of 36 unconditional and conditional additive QTLs and 30 pairs of unconditional and conditional epistatic QTLs, all of which are closely associated with TKW. While the conditional additive locus Qtkw1B, detected in the RIL2 population, exhibited the largest contribution, explaining 14.12 % of TKW variance, the unconditional epistatic QTLs Qtkw3A-2/Qtkw5B.1, detected in the DH population, accounted for 11.95 % of phenotypic variance. This study also showed that, compared with unconditional mapping, conditional mapping resulted in very different numbers and different extent of effects of additive and epistatic QTLs that were associated with TKW when TKW was conditioned on kernel traits (KW and KL). These data strongly suggest that KW and KL indeed play a significant role in determining TKW. Furthermore, we demonstrated that the effects of the 25 additive QTLs for TKW were either entirely or largely determined by KW, while the effects of the other 25 additive QTLs for TKW were either entirely or largely affected by KL. We conclude that the conditional mapping can be useful for a better understanding of the interrelationship between the yield contributing traits at the QTL level.     

Structure and expression of the <Emphasis Type="Italic">TaGW7</Emphasis> in bread wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.)

OsGW7 (also known as OsGL7) is homologous to the Arabidopsis thaliana gene that encodes LONGIFOLIA protein, which regulates cell elongation, and is involved in regulating grain length in rice. However, our knowledge on its ortholog in wheat, TaGW7, is limited. In this study, we identified and mapped TaGW7 in wheat, characterized its nucleotide and protein structures, predicted the cis-elements of its promoter, and analysed its expression patterns. The GW7 orthologs in barley (HvGW7), rice (OsGW7), and Brachypodium distachyon (BdGW7) were also identified for comparative analyses. TaGW7 mapped onto the short arms of group 2 chromosomes (2AS, 2BS, and 2DS). Multiple alignments indicated GW7 possesses five exons and four introns in all but two of the species analysed. An exon–intron junction composed of introns 3–4 and exons 4–5 was highly conserved. GW7 has a conserved domain (DUF 4378) and two neighbouring low complexity regions. GW7 was mainly expressed in wheat spikes and stems, in barley seedling crowns, and in rice anthers and embryo-sacs during early development. Drought and heat significantly increased and decreased GW7 expression in wheat, respectively. In barley, GW7 was significantly down-regulated in paleae and awns but up-regulated in seeds under drought treatment and down-regulated under Fusarium and stem rust inoculation. In rice, OsGW7 expression differed significantly under drought treatments. Collectively, these results provide insights into GW7 structure and expression in wheat, barley and rice. The GW7 sequence structure and expression data are the foundation for manipulating GW7 and uncovering its roles in plants.     

Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers

Key message

We identified 21 new and stable QTL, and 11 QTL clusters for yield-related traits in three bread wheat populations using the wheat 90 K SNP assay.

Abstract

Identification of quantitative trait loci (QTL) for yield-related traits and closely linked molecular markers is important in order to identify gene/QTL for marker-assisted selection (MAS) in wheat breeding. The objectives of the present study were to identify QTL for yield-related traits and dissect the relationships among different traits in three wheat recombinant inbred line (RIL) populations derived from crosses Doumai?×?Shi 4185 (D?×?S), Gaocheng 8901?×?Zhoumai 16 (G?×?Z) and Linmai 2?×?Zhong 892 (L?×?Z). Using the available high-density linkage maps previously constructed with the wheat 90 K iSelect single nucleotide polymorphism (SNP) array, 65, 46 and 53 QTL for 12 traits were identified in the three RIL populations, respectively. Among them, 34, 23 and 27 were likely to be new QTL. Eighteen common QTL were detected across two or three populations. Eleven QTL clusters harboring multiple QTL were detected in different populations, and the interval 15.5–32.3 cM around the Rht-B1 locus on chromosome 4BS harboring 20 QTL is an important region determining grain yield (GY). Thousand-kernel weight (TKW) is significantly affected by kernel width and plant height (PH), whereas flag leaf width can be used to select lines with large kernel number per spike. Eleven candidate genes were identified, including eight cloned genes for kernel, heading date (HD) and PH-related traits as well as predicted genes for TKW, spike length and HD. The closest SNP markers of stable QTL or QTL clusters can be used for MAS in wheat breeding using kompetitive allele-specific PCR or semi-thermal asymmetric reverse PCR assays for improvement of GY.

     

Gene editing of the wheat homologs of TONNEAU1‐recruiting motif encoding gene affects grain shape and weight in wheat

Grain size and weight are important components of a suite of yield‐related traits in crops. Here, we showed that the CRISPR‐Cas9 gene editing of TaGW7, a homolog of rice OsGW7 encoding a TONNEAU1‐recruiting motif (TRM) protein, affects grain shape and weight in allohexaploid wheat. By editing the TaGW7 homoeologs in the B and D genomes, we showed that mutations in either of the two or both genomes increased the grain width and weight but reduced the grain length. The effect sizes of mutations in the TaGW7 gene homoeologs coincided with the relative levels of their expression in the B and D genomes. The effects of gene editing on grain morphology and weight traits were dosage dependent with the double‐copy mutant showing larger effect than the respective single copy mutants. The TaGW7‐centered gene co‐expression network indicated that this gene is involved in the pathways regulating cell division and organ growth, also confirmed by the cellular co‐localization of TaGW7 with α‐ and β‐tubulin proteins, the building blocks of microtubule arrays. The analyses of exome capture data in tetraploid domesticated and wild emmer, and hexaploid wheat revealed the loss of diversity around TaGW7‐associated with domestication selection, suggesting that TaGW7 is likely to play an important role in the evolution of yield component traits in wheat. Our study showed how integrating CRISPR‐Cas9 system with cross‐species comparison can help to uncover the function of a gene fixed in wheat for allelic variants targeted by domestication selection and select targets for engineering new gene variants for crop improvement.     

GW3-1和IND109标记对普通小麦粒重的QTL定位分析

应用一个由115个系组成的W7984/Opata85的重组自交系(RIL)群体,建立了一个由394个(292个RFLP、94个SSR和8个特殊的基因杂交探针)DNA分子标记组成的遗传连锁图,对小麦千粒重进行了单个标记的回归分析和复合区间作图的QTL定位,在单个标记的回归分析中检测到11个千粒重的QTLs(P<0.01);复合区间作图分析结果表明,其中4个标记bcd348a、GW3-1、IND109和Rz2的遗传效应较大,其贡献率分别为9.1%、19.0%、8.07%和8.14%,分别位于小麦的2BS、4AL、5BL和7DS上,特别是在水稻第3条染色体上控制籽粒大小的GW3-1和IND109分别位于小麦4A和5B染色体的长臂端.研究结果对小麦应用分子标记辅助选择或分子克隆基因有重要的参考价值.     

拟南芥中RING型E3泛素连接酶基因AtGW2的克隆和功能分析

水稻RING型E3泛素连接酶基因OsGW2在调控水稻产量性状方面起着十分重要的作用.根据OsGW2的cDNA序列,通过RT-PCR方法从拟南芥中克隆了一个与OsGW2同源的基因,命名为AtGW2.序列分析表明,该基因编码一个RING-C2型E3泛素连接酶蛋白,含有401个氨基酸.通过构建AtGW2 RNA干扰植物表达栽体并转化拟南芥,结果表明,获得的转基因后代植株的子粒较野生型大,并且转基因拟南芥子粒千粒重高于野生型,这表明AtGW2负调控拟南芥子粒大小及粒重.     

A haplotype block associated with thousand-kernel weight on chromosome 5DS in common wheat (Triticum aestivum L.)

Spike number per unit area, number of grains per spike, and thousand-kernel weight (TKW) are important yield components for wheat (Triticum aestivum L.). TKW has the highest heritability among the thre...     

春小麦千粒重相关性状的QTL定位及其耐热性分析

春小麦灌浆中后期正逢高温天气,适于发掘与耐高温相关的QTL.本研究利用春小麦Avocet/Sujata重组自交系群体,自2016-2018年在石家庄藁城区和天津两地4个环境下种植,进行千粒重(TKW)、粒长(KL)和粒宽(KW)等性状QTL定位,探讨这些QTL与灌浆期高温和品种适应性的关系.结果显示:在4个环境下共检测...     

Development of Molecular Markers Used to Identify Two Types of Fragrant Rice and Analysis of Mutation Sites of BADH2 Gene in 24 Varieties of Fragrant Rice

Functional molecular markers M7 and M2 have been developed based on the DNA sequence differences of badh2 between fragrant rice varieties and non fragrant varieties in intron2, intron 4, exon7 and exon 2 respectively. PCR analyses on genome DNA of exon7 mutated fragrant rice Wxiang 99075, exon2 mutated fragrant rice Wuxiang14,non fragrant rice 261S and the F1 plants by M7 and M2 showed that M7 and M2 could be absolutely used to the molecular marker assisted rice breeding experiments when exon7 mutated and exon2 mutated fragrant rice varieties are used as parents. The design of M7 primers took mutations both in exons and intrones into account. Moreover, taking 261S,Wxiang 99075 and Wuxiang14 as controls, the mutation sites of badh2 in 22 fragrant rice varieties were analyzed, it was showed that fragrant rice varieties could be classified into 3 types: exon 2 mutated fragrant rice, exon 7 mutated fragrant rice and non exon mutated fragrant rice. At the same time, the mutation sites of badh2 in the main fragrant rice varieties which are grown in Shanghai and the surrounding areas have been verified. This research laid an important foundation for molecular marker assisted selection for novel fragrant rice.     

Whole Genome Association Mapping of Plant Height in Winter Wheat (Triticum aestivum L.)

The genetic architecture of plant height was investigated in a set of 358 recent European winter wheat varieties plus 14 spring wheat varieties based on field data in eight environments. Genotyping of diagnostic markers revealed the Rht-D1b mutant allele in 58% of the investigated varieties, while the Rht-B1b mutant was only present in 7% of the varieties. Rht-D1 was significantly associated with plant height by using a mixed linear model and employing a kinship matrix to correct for population stratification. Further genotyping data included 732 microsatellite markers, resulting in 770 loci, of which 635 markers were placed on the ITMI map plus a set of 7769 mapped SNP markers genotyped with the 90 k iSELECT chip. When Bonferroni correction was applied, a total of 153 significant marker-trait associations (MTAs) were observed for plant height and the SSR markers (−log₁₀ (P-value) ≥4.82) and 280 (−log₁₀ (P-value) ≥5.89) for the SNPs. Linear regression between the most effective markers and the BLUEs for plant height indicated additive effects for the MTAs of different chromosomal regions. Analysis of syntenic regions in the rice genome revealed closely linked rice genes related to gibberellin acid (GA) metabolism and perception, i.e. GA20 and GA2 oxidases orthologous to wheat chromosomes 1A, 2A, 3A, 3B, 5B, 5D and 7B, ent-kaurenoic acid oxidase orthologous to wheat chromosome 7A, ent-kaurene synthase on wheat chromosome 2B, as well as GA-receptors like DELLA genes orthologous to wheat chromosomes 4B, 4D and 7A and genes of the GID family orthologous to chromosomes 2B and 5B. The data indicated that besides the widely used GA-insensitive dwarfing genes Rht-B1 and Rht-D1 there is a wide spectrum of loci available that could be used for modulating plant height in variety development.     

A SNP-Based Molecular Barcode for Characterization of Common Wheat

Wheat is grown as a staple crop worldwide. It is important to develop an effective genotyping tool for this cereal grain both to identify germplasm diversity and to protect the rights of breeders. Single-nucleotide polymorphism (SNP) genotyping provides a means for developing a practical, rapid, inexpensive and high-throughput assay. Here, we investigated SNPs as robust markers of genetic variation for typing wheat cultivars. We identified SNPs from an array of 9000 across a collection of 429 well-known wheat cultivars grown in China, of which 43 SNP markers with high minor allele frequency and variations discriminated the selected wheat varieties and their wild ancestors. This SNP-based barcode will allow for the rapid and precise identification of wheat germplasm resources and newly released varieties and will further assist in the wheat breeding program.     

Genetic Analysis and Molecular Mapping of a Rolling Leaf Mutation Gene in Rice

A rice mutant with rolling leaf, namely γ-rl, was obtained from M2 progenies of a native indica rice stable strain Qinghuazhan （QHZ） from mutagenesis of dry seeds by γ-rays. Genetic analysis using the F2 population from a cross between this mutant and QHZ indicated the mutation was controlled by a single recessive gene. In order to map the locus for this mutation, another F2 population with 601 rolling leaf plants was constructed from a cross between y-rl and a japonica cultivar 02428. After primary mapping with SSR （simple sequence repeats） markers, the mutated locus was located at the short arm of chromosome 3, flanked by RM6829 and RM3126. A number of SSR, InDel （insertion/deletion） and SNP （single nucleotide polymorphism） markers within this region were further developed for fine mapping. Finally, two markers, SNP121679 and InDe1422395, were identified to be flanked to this locus with genetic distances of 0.08 cM and 0.17 cM respectively, and two SNP markers, SNP75346 and SNPl10263, were found to be co-segregated with this locus. These results suggested that this locus was distinguished from all loci for the rolling leaf mutation in rice reported so far, and thus renamed rl10（t）. By searching the rice genome database with closely linked markers using BLAST programs, an e-physical map covering rl10（t） locus spanning about a 50 kb region was constructed. Expression analysis of the genes predicted in this region showed that a gene encoding putative flavin-containing monooxygenase （FMO） was silenced in γ-rl, thus this is the most likely candidate responsible for the rolling leaf mutation.     

Discovery of a new fragrance allele and the development of functional markers for the breeding of fragrant rice varieties

The recessive fgr gene on chromosome 8 is associated with rice fragrance. It has been reported that this gene is a non-functional badh2 allele and that the functional Badh2 allele encoding putative betaine aldehyde dehydrogenase (BADH2) could render rice non-fragrant. Here we report the discovery of a new badh2 allele and the development of functional markers for the badh2 locus. A total of 24 fragrant and ten non-fragrant rice varieties were studied and sequenced for their Badh2/badh2 loci. Of the 24 fragrant rice varieties, 12 were found to have the known badh2 allele (badh2-E7), which has an 8-bp deletion and three single nucleotide polymorphisms (SNPs) in exon 7; the others had a novel null badh2 allele (badh2-E2), which has a sequence identical to that of the Badh2 allele in exon 7, but with a 7-bp deletion in exon 2. Both null badh2 alleles are responsible for rice fragrance. Based on sequence divergence amongst the functional Badh2 and two null badh2 alleles, we developed functional markers which can be easily used to distinguish non-fragrant from fragrant rice and to differentiate between two kinds of fragrant rice. These functional markers will find their usefulness in breeding for fragrant rice varieties via marker-assisted selection. Weiwei Shi and Yi Yang contributed equally to this work.     

A genome-wide association study of wheat yield and quality-related traits in southwest China

Wheat (Triticum aestivum L.) is one of the most productive and important crops and its yield potential and quality characteristics are tightly linked with the global food security. In this study, genome-wide association study (GWAS) was conducted for yield and quality-related traits. Based on the high-density wheat 90K Illumina iSelect SNP Array, 192 bread wheat lines from southwest China, including 25 synthetic hexaploid wheat lines, 80 landraces, and 87 cultivars were analyzed. Association analysis results indicated that there were 57, 27, 30, and 34 SNPs associated with plant height (PH), grain protein content (GPC), thousand kernel weight (TKW), and SDS sedimentation volume (SSV) have been detected, respectively. Then, integrating RNA-Seq with bioinformatics analysis, 246 candidate genes (102 for GPC, 52 for TKW, and 92 for SSV) were found. Further analysis indicated that one up-regulated and two down-regulated expression genes affect GPC. Additionally, two haplotypes significantly affecting PH were detected in a 2.2-Mb genome region encompassing a gene which encoded an ubiquitin-specific protease, TaUBP24. The functional markers of TaUBP24 have been developed, which could be used for marker-assisted selection to improve wheat quality and yield.