Cooperativity of the N- and C-terminal domains of insulin-like growth factor (IGF) binding protein 2 in IGF binding

A family of six insulin-like growth factor (IGF) binding proteins (IGFBP-1-6) binds IGF-I and IGF-II with high affinity and thus regulates their bioavailability and biological functions. IGFBPs consist of N- and C-terminal domains, which are highly conserved and cysteine-rich, joined by a variable linker domain. The role of the C-domain in IGF binding is not completely understood in that C-domain fragments have very low or even undetectable IGF binding affinity, but loss of the C-domain dramatically disrupts IGF binding by IGFBPs. We recently reported the solution structure and backbone dynamics of the C-domain of IGFBP-2 (C-BP-2) and identified a pH-dependent heparin binding site [Kuang, Z., Yao, S., Keizer, D. W., Wang, C. C., Bach, L. A., Forbes, B. E., Wallace, J. C., and Norton, R. S. (2006) Structure, dynamics and heparin binding of the C-terminal domain of insulin-like growth factor-binding protein-2 (IGFBP-2), J. Mol. Biol. 364, 690-704]. Here, we have analyzed the molecular interactions among the N-domain of IGFBP-2 (N-BP-2), C-BP-2, and IGFs using cross-linking and nuclear magnetic resonance (NMR) spectroscopy. The binding of C-BP-2 to the IGF-I.N-BP-2 binary complex was significantly stronger than the binding of C-BP-2 to IGF-I alone, switching from intermediate exchange to slow exchange on the NMR time scale. A conformational change or stabilization of the IGF-I Phe49-Leu54 region and the Phe49 aromatic ring upon binding to the N-domains, as well as an interdomain interaction between N-BP-2 and C-BP-2 (which is also detectable in the absence of ligand), may contribute to this cooperativity in IGF binding. Glycosaminoglycan binding by IGFBPs can affect their IGF binding although the effects appear to differ among different IGFBPs; here, we found that heparin bound to the IGF-I.N-BP-2.C-BP-2 ternary complex, but did not cause it to dissociate.     

Hybridisation‐based target enrichment of phenology genes to dissect the genetic basis of yield and adaptation in barley

Barley (Hordeum vulgare L.) is a major cereal grain widely used for livestock feed, brewing malts and human food. Grain yield is the most important breeding target for genetic improvement and largely depends on optimal timing of flowering. Little is known about the allelic diversity of genes that underlie flowering time in domesticated barley, the genetic changes that have occurred during breeding, and their impact on yield and adaptation. Here, we report a comprehensive genomic assessment of a worldwide collection of 895 barley accessions based on the targeted resequencing of phenology genes. A versatile target‐capture method was used to detect genome‐wide polymorphisms in a panel of 174 flowering time‐related genes, chosen based on prior knowledge from barley, rice and Arabidopsis thaliana. Association studies identified novel polymorphisms that accounted for observed phenotypic variation in phenology and grain yield, and explained improvements in adaptation as a result of historical breeding of Australian barley cultivars. We found that 50% of genetic variants associated with grain yield, and 67% of the plant height variation was also associated with phenology. The precise identification of favourable alleles provides a genomic basis to improve barley yield traits and to enhance adaptation for specific production areas.     

Yield Loss Caused by Pratylenchus thornei on Wheat in South Australia

A two-year field trial with 130 plots was conducted at Tanunda, South Australia. Ten cereal cultivars differing in susceptibility to Pratylenchus thornei, two poor host crops (non-leguminous), and a bare fallow treatment were used to manipulate the numbers of nematodes in the plots in the first year. Initial and final densities were determined for each plot and varied from 0 to 9,400 nematodes/200 g oven-dried soil at the beginning of the second year. A highly susceptible wheat cultivar, Warigal, and two wheat lines known to have some resistance to P. thornei, GS50A and AUS4930, were planted in the second year. High densities of P. thornei caused more extensive lesions and severe cortical degradation in roots of Warigal than in GS50A or AUS4930. There was a significant linear relationship between initial density of P. thornei and Warigal grain yield (t/ha), with the estimated regression equation Y = 1.86 - 0.0000557x, where Y is the grain yield in t/ha and x is the number of P. thornei/200 g oven-dried soil. High initial densities (9,000 P. thornei/200 g oven-dried soil) caused up to 27% yield loss of this commercial Australian wheat. In contrast, the yield of the two resistant lines was not affected by initial density, suggesting that both were tolerant as well as resistant in the field.     

Thetms2 gene as a negative selection marker in rice

A conditional negative selection marker is essential for high throughput insertional mutagenesis with any two-element transposon tagging system. Thetms2 gene encodes indoleacetic acid hydrolase (IAAH) which converts naphthaleneacetamide (NAM) to the potent auxin naphthaleneacetic acid, a phytotoxic derivative. This gene, under the control of the manopine synthase gene 2 promoter fromAgrobacterium tumefaciens and exogenously applied NAM, have been used effectively as a negative selector inAc/Ds insertional mutagenesis ofArabidopsis thaliana (Sundaresan et al., 1995). In this study we show thattms2 can also be used as a negative selector in rice. T₁ transgenic seedlings expressing thistms2 gene under the control of themas2’ promoter showed significant reduction in shoot and root growth in the presence of 5–10 μM NAM under specified growth conditions compared to plants not containing this gene.     

Genome Sequence of the ethene- and vinyl chloride-oxidizing actinomycete Nocardioides sp. strain JS614

Nocardioides sp. strain JS614 grows on ethene and vinyl chloride (VC) as sole carbon and energy sources and is of interest for bioremediation and biocatalysis. Sequencing of the complete genome of JS614 provides insight into the genetic basis of alkene oxidation, supports ongoing research into the physiology and biochemistry of growth on ethene and VC, and provides biomarkers to facilitate detection of VC/ethene oxidizers in the environment. This is the first genome sequence from the genus Nocardioides and the first genome of a VC/ethene-oxidizing bacterium.     

Krill maintenance and experimentation at the australian antarctic division

Live Antarctic krill, Euphausia superba, have been maintained for experimental purposes at the Australian Antarctic Division since 1981. This population has been replenished on an annual basis with animals taken from the wild. Techniques used to capture and maintain live krill are discussed here, with particular reference given to the development of systems for their maintenance. Details are also provided for specific experimental systems that have been used to conduct research into the behaviour and physiology of krill both at-sea and in shore-based laboratories.     

Characterization of four endophytic fungi as potential consolidated bioprocessing hosts for conversion of lignocellulose into advanced biofuels

Applied Microbiology and Biotechnology - Recently, several endophytic fungi have been demonstrated to produce volatile organic compounds (VOCs) with properties similar to fossil fuels, called...     

Detection and validation of genomic regions associated with resistance to rust diseases in a worldwide hexaploid wheat landrace collection using BayesR and mixed linear model approaches

Key message

BayesR and MLM association mapping approaches in common wheat landraces were used to identify genomic regions conferring resistance to Yr, Lr, and Sr diseases.

Abstract

Deployment of rust resistant cultivars is the most economically effective and environmentally friendly strategy to control rust diseases in wheat. However, the highly evolving nature of wheat rust pathogens demands continued identification, characterization, and transfer of new resistance alleles into new varieties to achieve durable rust control. In this study, we undertook genome-wide association studies (GWAS) using a mixed linear model (MLM) and the Bayesian multilocus method (BayesR) to identify QTL contributing to leaf rust (Lr), stem rust (Sr), and stripe rust (Yr) resistance. Our study included 676 pre-Green Revolution common wheat landrace accessions collected in the 1920–1930s by A.E. Watkins. We show that both methods produce similar results, although BayesR had reduced background signals, enabling clearer definition of QTL positions. For the three rust diseases, we found 5 (Lr), 14 (Yr), and 11 (Sr) SNPs significant in both methods above stringent false-discovery rate thresholds. Validation of marker–trait associations with known rust QTL from the literature and additional genotypic and phenotypic characterisation of biparental populations showed that the landraces harbour both previously mapped and potentially new genes for resistance to rust diseases. Our results demonstrate that pre-Green Revolution landraces provide a rich source of genes to increase genetic diversity for rust resistance to facilitate the development of wheat varieties with more durable rust resistance.

     

Exome sequence genotype imputation in globally diverse hexaploid wheat accessions

Key message

Imputing genotypes from the 90K SNP chip to exome sequence in wheat was moderately accurate. We investigated the factors that affect imputation and propose several strategies to improve accuracy.

Abstract

Imputing genetic marker genotypes from low to high density has been proposed as a cost-effective strategy to increase the power of downstream analyses (e.g. genome-wide association studies and genomic prediction) for a given budget. However, imputation is often imperfect and its accuracy depends on several factors. Here, we investigate the effects of reference population selection algorithms, marker density and imputation algorithms (Beagle4 and FImpute) on the accuracy of imputation from low SNP density (9K array) to the Infinium 90K single-nucleotide polymorphism (SNP) array for a collection of 837 hexaploid wheat Watkins landrace accessions. Based on these results, we then used the best performing reference selection and imputation algorithms to investigate imputation from 90K to exome sequence for a collection of 246 globally diverse wheat accessions. Accession-to-nearest-entry and genomic relationship-based methods were the best performing selection algorithms, and FImpute resulted in higher accuracy and was more efficient than Beagle4. The accuracy of imputing exome capture SNPs was comparable to imputing from 9 to 90K at approximately 0.71. This relatively low imputation accuracy is in part due to inconsistency between 90K and exome sequence formats. We also found the accuracy of imputation could be substantially improved to 0.82 when choosing an equivalent number of exome SNP, instead of 90K SNPs on the existing array, as the lower density set. We present a number of recommendations to increase the accuracy of exome imputation.