Genomic organization of the complex α-gliadin gene loci in wheat

To better understand the molecular evolution of the large -gliadin gene family, a half-million bacterial artificial chromosome (BAC) library clones from tetraploid durum wheat, Triticum turgidum ssp. durum (2n=4x=28, genome AB), were screened for large genomic segments carrying the -gliadin genes of the Gli-2 loci on the group 6 homoeologous chromosomes. The resulting 220 positive BAC clones—each containing between one and four copies of -gliadin sequences—were fingerprinted for contig assembly to produce contiguous chromosomal regions covering the Gli-2 loci. While contigs consisting of as many as 21 BAC clones and containing up to 17 -gliadin genes were formed, many BAC clones remained as singletons. The accuracy of the order of BAC clones in the contigs was verified by Southern hybridization analysis of the BAC fingerprints using an -gliadin probe. These results indicate that -gliadin genes are not evenly dispersed in the Gli-2 locus regions. Hybridization of these BACs with probes for long terminal repeat retrotransposons was used to determine the abundance and distribution of repetitive DNA in this region. Sequencing of BAC ends indicated that 70% of the sequences were significantly similar to different classes of retrotransposons, suggesting that these elements are abundant in this region. Several mechanisms underlying the dynamic evolution of the Gli-2 loci are discussed.     

The molecular diversity of α-gliadin genes in the tribe Triticeae

Many of the unique properties of wheat flour are derived from seed storage proteins such as the α-gliadins. In this study these α-gliadin genes from diploid Triticeae species were systemically characterized, and divided into 3 classes according to the distinct organization of their protein domains. Our analyses indicated that these α-gliadins varied in the number of cysteine residues they contained. Most of the α-gliadin genes were grouped according to their genomic origins within the phylogenetic tree. As expected, sequence alignments suggested that the repetitive domain and the two polyglutamine regions were responsible for length variations of α-gliadins as were the insertion/deletion of structural domains within the three different classes (I, II, and III) of α-gliadins. A screening of celiac disease toxic epitopes indicated that the α-gliadins of the class II, derived from the Ns genome, contain no epitope, and that some other genomes contain much fewer epitopes than the A, S(B) and D genomes of wheat. Our results suggest that the observed genetic differences in α-gliadins of Triticeae might indicate their use as a fertile ground for the breeding of less CD-toxic wheat varieties.     

Development and use of EST-SSR markers for assessing genetic diversity in the brown planthopper (Nilaparvata lugens Stål)

To assess genetic diversity in populations of the brown planthopper (Nilaparvata lugens St?l) (Homoptera: Delphacidae), we have developed and applied microsatellite, or simple sequence repeat (SSR), markers from expressed sequence tags (ESTs). We found that the brown planthopper clusters of ESTs were rich in SSRs with unique frequencies and distributions of SSR motifs. Three hundred and fifty-one EST-SSR markers were developed and yielded clear bands from samples of four brown planthopper populations. High cross-species transferability of these markers was detected in the closely related planthopper N. muiri. The newly developed EST-SSR markers provided sufficient resolution to distinguish within and among biotypes. Analyses based on SSR data revealed host resistance-based genetic differentiation among different brown planthopper populations; the genetic diversity of populations feeding on susceptible rice varieties was lower than that of populations feeding on resistant rice varieties. This is the first large-scale development of brown planthopper SSR markers, which will be useful for future molecular genetics and genomics studies of this serious agricultural pest.     

Genome change in wheat observed through the structure and expression of α/β-gliadin genes

To better understand genome structure and the expression of α/β-gliadin multigenes in hexaploid wheat, bacterial artificial chromosome (BAC) clones containing α/β-gliadin genes from the three loci, Gli-A2, Gli-B2, and Gli-D2, were screened. Based on their restriction fragment patterns, we selected five BAC clones, namely, two clones for Gli-A2, two clones for Gli-B2, and one clone for Gli-D2, to fully sequence. Approximately 200 kb was sequenced for each locus. In total, twelve α/β-gliadin intact genes and four pseudogenes were found, and retrotransposons or other transposons existed in each BAC clone. Dot-plot analysis revealed the pattern of genome segmental duplication within each BAC. We calculated time since duplication of each set of α/β-gliadin genes and insertion of retrotransposons. Duplication of all adjacent genes within the same BAC clone took place before or after allotetrapolyploidization, but duplication of certain genes occurred before diploid differentiation of wheat species. Retrotransposons were also inserted before and after the segmental duplication events. Furthermore, translocation of α/β-gliadin genes from chromosomes 1 to 6 apparently occurred before the diversification of various wheat genomes. Duplication of genome segments containing α/β-gliadin genes and retrotransposons were brought about through unequal crossing-over or saltatory replication and α/β-gliadin genes per se were duplicated without any recombination events. Out of twelve intact α/β-gliadin genes detected from their sequences, nine were expressed, although their patterns of expression were distinct. Since they have similar cis-elements and promoter structures, the mechanisms underlying their distinct gene expression and possible applications are discussed.     

Identification of SNPs and development of allele-specific PCR markers for γ-gliadin alleles in Triticum aestivum

The coding regions of 28 entries of hexaploid wheat gamma-gliadin genes, gene fragments or pseudogenes in GenBank were used for nucleotide alignment. These sequences could be divided into nine subgroups based on nucleotide variation. The chromosomal locations of five of the seven unassigned subgroups were identified through subgroup-specific polymerase chain reactions (PCR) using Chinese Spring group-1 nulli-tetrasomic lines. Multiple single nucleotide polymorphisms (SNPs) and small insertions/deletions were identified in each subgroup. With further mining from wheat expressed sequence tag databases and targeted DNA sequencing, two SNPs were confirmed and one SNP was discovered for genes at the Gli-A1, Gli-B1 and Gli-D1 loci. A modified allele-specific PCR procedure for assaying SNPs was used to generate dominant DNA markers based on these three SNPs. For each of these three SNPs, two allele-specific primer sets were used to test Chinese Spring and 52 commercial Australian wheat varieties representing a range of low-molecular-weight (LMW) alleles. PCR results indicated that all were positive with one of the primer sets and negative with the other, with the exception of three varieties containing the 1BL/1RS chromosomal translocation that were negative for both. Furthermore, markers GliA1.1, GliB1.1 and GliD1.1 were found to be correlated with Glu-A3 a, b or c, Glu-B3 b, c, d or e and Glu-D3 a, b or e LMW glutenin alleles, respectively. Markers GliA1.2, GliB1.2 and GliD1.2 were found to be correlated with the Glu-A3 d or e, Glu-B3 a, g or h and Glu-D3 c alleles, respectively. These results indicated that the gamma-gliadin SNP markers could be used for detecting linked LMW glutenin subunit alleles that are important in determining the quality attributes of wheat products.     

Restriction fragment analysis of ‘null’ forms at the Gli-1 loci of bread and durum wheats

Summary Wheat accessions lacking some of the - and -gliadin components encoded by the Gli-1 loci on the short arm of chromosome 1D in bread wheat and chromosome 1A in durum wheat were studied by two-dimensional polyacrylamide gel electrophoresis and restriction fragment analysis. Digested genomic DNAs of normal and null forms were probed with a cDNA clone related to -/-gliadins and with a genomic clone encoding an LMW subunit of glutenin. The hybridisation patterns with the -/-gliadin probe were similar to those of cvs Chinese Spring and Langdon used as standards for bread and durum wheats, respectively, but several restriction fragments located on the 1D chromosome of bread wheat and the 1A chromosome of durum wheat were absent in the null forms. In addition, specific LMW glutenin fragments encoded by the same chromosomes were also absent in the null forms, suggesting that simultaneous deletions of blocks of genes for both -/-gliadins and LMW glutenins had occurred. Comparisons of the protein and RFLP patterns enabled some proteins to be mapped to specific restriction fragments.     

Sheep α-globin gene sequences: Implications for their concerted evolution and for the down-regulation of the 3′ genes

In sheep as in man and most other mammals, there are two -globin genes (^I and ^II), which are expressed at different levels, the upstream gene being the most efficient. In -globin gene triplication and quadruplication, this trend is confirmed, i.e., the -chain output of the downstream genes progressively decreases. In this study, we have determined the complete sequence of the cDNAs and of both the introns in a triple- haplotype in which each gene could be recognized for the presence of distinct alleles. The sequence analysis reveals that the bodies of the three -globin genes are essentially identical (99.9% homology) and moreover indicates that the down-regulation of additional -globin genes in sheep is not the effect of sequence variation from the Cap to the Poly(A) addition sites. This striking similarity among -genes is higher than that seen in other mammals and is probably sustained by particularly efficient mechanisms of gene conversion and cross-over fixation. Correspondence to: Dr. M.S. Ristaldi     

Development, identification, and validation of markers for marker-assisted selection against the Stagonospora nodorum toxin sensitivity genes Tsn1 and Snn2 in wheat

The wheat-Stagonospora nodorum pathosystem involves a number of pathogen-produced host-selective toxins that interact with host genes in an inverse gene-for-gene manner to cause disease. The wheat intervarietal recombinant inbred population derived from BR34 and Grandin (BG population) segregates for the toxin sensitivity genes Tsn1, Snn2, and Snn3, which confer sensitivity to the toxins ToxA, SnTox2, and SnTox3, respectively. Here, we report the addition of 141 molecular markers to the BG population linkage maps, the identification and/or development of markers tightly linked to Tsn1 and Snn2, and the validation of the markers using a set of diverse wheat accessions. The BG population maps now contain 787 markers, and new simple sequence repeat (SSR) markers closely linked to Snn2 on chromosome arm 2DS were identified. In an effort to target more markers to the Snn2 locus, STS markers were developed from 2DS bin-mapped ESTs resulting in the development and mapping of 36 markers mostly to the short arms of group 2 chromosomes. Together, SSR and EST-STS markers delineated Snn2 to a 4.0 cM interval. SSRs developed in related work for Tsn1 were mapped in the BG population and delineated the gene to a 1.0 cM interval. Evaluation of the markers for Tsn1 and Snn2 in a diverse set of wheat genotypes validated their utility for marker-assisted selection, which is particularly efficient for removing toxin sensitivity alleles from elite germplasm and varieties. Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture.     

Colocalization of the genes coding for the α3 and β3 subunits of soluble guanylyl cyclase to human chromosome 4 at q31.3–q33

We have determined the chromosomal location of the human genes coding for the ₃ and ₃ subunits of soluble guanylyl cyclase (GC-S). The study was performed by in situ hybridization of human metaphase spreads with two human cDNA probes, containing the coding sequences of the GC-S ₃ and ₃ subunits, respectively. Each probe gave a strong specific signal on chromosome 4 at the 4q31.3–4q33 region, with the maximal signal in the 4q32 band. The colocalization of both genes in 4q32 represents an interesting feature for the coordinated regulation of expression of both GC-S subunits.     

Genetic mapping of DArT markers in the Festuca�CLolium complex and their use in freezing tolerance association analysis

Species belonging to the Festuca-Lolium complex are important forage and turf species and as such, have been studied intensively. However, their out-crossing nature and limited availability of molecular markers make genetic studies difficult. Here, we report on saturation of F. pratensis and L. multiflorum genetic maps using Diversity Array Technology (DArT) markers and the DArTFest array.The 530 and 149 DArT markers were placed on genetic maps of L. multiflorum and F. pratensis, respectively, with overlap of 20 markers, which mapped in both species. The markers were sequenced and comparative sequence analysis was performed between L. multiflorum, rice and Brachypodium. The utility of the DArTFest array was then tested on a Festulolium population FuRs0357 in an integrated analysis using the DArT marker map positions to study associations between markers and freezing tolerance. Ninety six markers were significantly associated with freezing tolerance and five of these markers were genetically mapped to chromosomes 2, 4 and 7. Three genomic loci associated with freezing tolerance in the FuRs0357 population co-localized with chromosome segments and QTLs previously identified to be associated with freezing tolerance. The present work clearly confirms the potential of the DArTFest array in genetic studies of the Festuca-Lolium complex. The annotated DArTFest array resources could accelerate further studies and improvement of desired traits in Festuca-Lolium species.     

Characterization of α-gliadin genes from diploid wheats and the comparative analysis with those from polyploid wheats

To carry out comparative analysis of the α-gliadin genes on A genomes of diploid and polyploid wheats, 8 full-length α-gliadin genes, including 3 functional genes and 5 pseudogenes, were obtained from diploid wheats, among which 2, 2 and 4 α-gliadin genes were isolated from T. urartu, T. monococcum, and T. boeoticum, respectively. The results indicated that higher number of α-gliadin pseudogenes have been present in diploid wheats before the formation of polyploid wheats. Amino acid sequence comparative analysis among 26 α-gliadin genes, including 16 functional genes and 10 pseudogenes, from diploid and polyploid wheats was conducted. The results indicated that all α-gliadins contained four coeliac toxic peptide sequences (i.e., PSQQ, QQQP, QQPY, and QPYP). The polyglutamine domains are highly variable, and the second polyglutamine stretch is usually disrupted by the lysine or arginine residue at the fourth position. The unique domain I is the most conserved domain. There are four and two conserved cysteine residues in the unique domains I and II, respectively. Comparative analysis indicated that the functional α-gliadin genes from A genome are highly conserved, whereas the identity of pseudogenes in diploid wheats are higher than those in hexaploid wheats. Phylogenetic analysis indicated that all the analyzed functional α-gliadin genes could be clustered into two major groups, among which one group could be further divided into 5 subgroups. The origin of α-gliadin pseudogene and functional genes were also discussed. The text was submitted by the authors in English.     

Disruption of genes for the enhanced biosynthesis of α-ketoglutarate in Corynebacterium glutamicum

The development of microbial strains for the enhanced production of α-ketoglutarate (α-KG) was investigated using a strain of Corynebacterium glutamicum that overproduces of l-glutamate, by disrupting three genes involved in the α-KG biosynthetic pathway. The pathways competing with the biosynthesis of α-KG were blocked by knocking out aceA (encoding isocitrate lyase, ICL), gdh (encoding glutamate dehydrogenase, l-gluDH), and gltB (encoding glutamate synthase or glutamate-2-oxoglutarate aminotransferase, GOGAT). The strain with aceA, gltB, and gdh disrupted showed reduced ICL activity and no GOGAT and l-gluDH activities, resulting in up to 16-fold more α-KG production than the control strain in flask culture. These results suggest that l-gluDH is the key enzyme in the conversion of α-KG to l-glutamate; therefore, prevention of this step could promote α-KG accumulation. The inactivation of ICL leads the carbon flow to α-KG by blocking the glyoxylate pathway. However, the disruption of gltB did not affect the biosynthesis of α-KG. Our results can be applied in the industrial production of α-KG by using C. glutamicum as producer.     

Molecular characterization of the celiac disease epitope domains in α-gliadin genes in Aegilops tauschii and hexaploid wheats (Triticum aestivum L.)

Nineteen novel full-ORF α-gliadin genes and 32 pseudogenes containing at least one stop codon were cloned and sequenced from three Aegilops tauschii accessions (T15, T43 and T26) and two bread wheat cultivars (Gaocheng 8901 and Zhongyou 9507). Analysis of three typical α-gliadin genes (Gli-At4, Gli-G1 and Gli-Z4) revealed some InDels and a considerable number of SNPs among them. Most of the pseudogenes were resulted from C to T change, leading to the generation of TAG or TAA in-frame stop codon. The putative proteins of both Gli-At3 and Gli-Z7 genes contained an extra cysteine residue in the unique domain II. Analysis of toxic epitodes among 19 deduced α-gliadins demonstrated that 14 of these contained 1–5 T cell stimulatory toxic epitopes while the other 5 did not contain any toxic epitopes. The glutamine residues in two specific ployglutamine domains ranged from 7 to 27, indicating a high variation in length. According to the numbers of 4 T cell stimulatory toxic epitopes and glutamine residues in the two ployglutamine domains among the 19 α-gliadin genes, 2 were assigned to chromosome 6A, 5 to chromosome 6B and 12 to chromosome 6D. These results were consistent with those from wheat cv. Chinese Spring nulli-tetrasomic and phylogenetic analysis. Secondary structure prediction showed that all α-gliadins had high content of β-strands and most of the α-helixes and β-strands were present in two unique domains. Phylogenetic analysis demonstrated that α-gliadin genes had a high homology with γ-gliadin, B-hordein, and LMW-GS genes and they diverged at approximate 39 MYA. Finally, the five α-gliadin genes were successfully expressed in E. coli, and their expression amount reached to the maximum after 4 h induced by IPTG, indicating that the α-gliadin genes can express in a high level under the control of T₇ promoter.     

Detection of the quantitative trait loci for α-amylase activity on a high-density genetic map of rye and comparison of their localization to loci controlling preharvest sprouting and earliness

The objectives of the research were to determine the position of quantitative trait loci (QTL) for α-amylase activity on the genetic map of a rye recombinant inbred line population-S120?×?S76-and to compare them to known QTL for preharvest sprouting and heading earliness. Fourteen QTL for α-amylase activity on all seven chromosomes were identified. The detected QTL were responsible for 6.09-23.32% of α-amylase activity variation. The lowest LOD value (2.22) was achieved by locus QAa4R-M3 and the highest (7.79) by locus QAa7R-M1. Some QTL intervals for features of interest overlapped partially or completely. There were six overlapping QTL for α-amylase activity and preharvest sprouting (on 1R, 3R, 4R, 6R, 7R) and the same number for preharvest sprouting and heading earliness (on 1R, 2R, 6R, 7R). Furthermore, there was one interval partially common to all three traits, mapped on the long arm of chromosome 1R. Testing of lines originating from hybrid breeding programs, such as S120 and S76, may provide important information about the most significant genes and markers for selection in commercial breeding. Among the statistically significant markers selected in the Kruskal-Wallis test (P?相似文献   

The use of microsatellite markers for the detection of genetic similarity among winter bread wheat lines for chromosome 3A

Previous studies with chromosome substitution and recombinant inbred chromosome lines identified that chromosome 3A of wheat cv. Wichita contains alleles that influence grain yield, yield components and agronomic performance traits relative to alleles on chromosome 3A of Cheyenne, a cultivar believed to be the founder parent of many Nebraska developed cultivars. This study was carried out to examine the genetic similarity among wheat cultivars based on the variation in chromosome 3A. Forty-eight cultivars, two promising lines and four substitution lines (in duplicate) were included in the study. Thirty-six chromosome 3A-specific and 12 group-3 barley simple sequence repeat (SSR) primer pairs were used. A total of 106 polymorphic bands were scored. Transferability of barley microsatellite markers to wheat was 73%. The coefficient of genetic distance (D) among the genotypes ranged from 0.40 to 0.91 and averaged D=0.66. Cluster analysis by the unweighted pair-group method with arithmetic averages showed one large and one small cluster with eight minor clusters in the large cluster. Several known pedigree relationships largely corresponded with the results of SSR clusters and principal coordinate analysis. Cluster analysis was also carried out by using 22 alleles that separate Wichita 3A from Cheyenne 3A, and three clusters were identified (a small cluster related to Cheyenne of mainly western Nebraska wheat cultivars; a larger, intermediate cluster with many modern Nebraska wheat cultivars; a large cluster related to Wichita with many modern high-yielding or Kansas wheat cultivars). Using three SSR markers that identify known agronomically important quantitative trait loci (QTL) regions, we again separated the cultivars into three main clusters that were related to Cheyenne or Wichita, or had a different 3A lineage. These results suggest that SSR markers linked to agronomically important QTLs are a valuable asset for estimating both genetic similarity for chromosome 3A and how the chromosome has been used in cultivar improvement.     

Molecular cloning of novel α-gliadin genes from Crithopsis delileana and the evolution analysis with those from Triticeae

The α-gliadins from Crithopsis delileana (Schult) Roshev (2n=2x=14, KK) were investigated by Acid polyacrylamide gel electrophoresis (A-PAGE) analysis. It was indicated that the electrophoresis mobility of gliadins from C.delileana had obvious difference with those from common wheat in α, γ and ω region. Using primers designed from published sequences of α-gliadin genes, three α-gliadin genes were isolated from C. delileana, which were designated as gli-ka1, gli-ka2 and gli-ka3, respectively. Two in-frame stop codons were found in the coding sequences of gli-ka3, indicating that gli-ka3 could be a pseudogene. The gli-ka2 was a gliadin with an odd number of cysteines, resulting from a non-synonymous mutation. This change might lead to the interactive behavior of gli-ka2. Three α-gliadin genes of C. delileana had the similar but not identical primary structures to the corresponding gene sequences from other wheat related species. By the alignment of α-gliadin genes from Triticeae, phylogenetic analysis indicated that three α-gliadin genes of C. delileana clustered together with all α-gliadin genes from Ee genome of Lophopyrum elongatum by an interior paralleled branch.     

The relative biological activities of α- and β-ecdysone and their 3 dehydro derivatives in the chromosome puffing assay

The relative biological activity of α- and β-ecdysone and their 3-dehydro derivatives in inducing changes in puffing activity in D. melanogaster salivary glands in vitro is approximately constant. Although the six different puffing assays differed considerably in their sensitivity to ecdysones, no stage-specific or locus-specific differential response to the four compounds was detected.     

Interleukin-1 α and β genes: linkage on chromosome 2 in the mouse

Two interleukin-1 polypeptides, and , are known, and cDNAs corresponding to each have been described. Genomic cloning and Southern blotting experiments suggest that in the mouse each is encoded by a gene present in one copy per haploid genome. Analysis of a panel of somatic cell hybrids carrying various mouse chromosomes on a constant Chinese hamster background indicates that both genes map to mouse chromosome 2. Further, analysis of the inheritance of DNA restriction fragment length polymorphisms associated with each gene in recombinant inbred strains of mice shows the two loci to be tightly linked to one another, and to lie approximately 4.7 centimorgans distal to B2m (beta-2 microglobulin). We have named the locus encoding IL-1 Il-1 and the locus encoding IL-1 Il-1b.     

Differences in the products of mitochondrial protein synthesis in vivo in human and mouse cells and their potential use as markers for the mitochondrial genome in human–mouse cell hybrids

The proteins synthesized in the mitochondria of mouse and human cells grown in tissue culture were examined by electrophoresis in polyacrylamide gels. The proteins were labelled by incubating the cells in the presence of [(35)S]methionine and an inhibitor of cytoplasmic protein synthesis (emetine or cycloheximide). A detailed comparison between the labelled products of mouse and human mitochondrial protein synthesis was made possible by developing radioautograms after exposure to slab-electrophoresis gels. Patterns obtained for different cell types of the same species were extremely similar, whereas reproducible differences were observed on comparison of the profiles obtained for mouse and human cells. Four human-mouse somatic cell hybrids were examined, and in each one only components corresponding to mouse mitochondrially synthesized proteins were detected.