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Alginate, a group of polyuronic saccharides, has been widely used in both pharmaceutical and food industries due to its unique physicochemical properties as well as beneficial health effects. However, the potential applications of alginate are restricted because of its low water solubility and high solution viscosity when significant concentrations are needed, particularly in food products. Alginate oligosaccharides (AOS), oligomers containing 2 to 25 monomers, can be obtained via hydrolysis of glycosidic bonds, organic synthesis, or through biosynthesis. Generally, AOS have shorter chain lengths and thus improved water solubility when compared with higher molecular weight alginates of the same monomers. These oligosaccharides have attracted interest from both basic and applied researchers. AOS have unique bioactivity and can impart health benefits. They have shown immunomodulatory, antimicrobial, antioxidant, prebiotic, antihypertensive, antidiabetic, antitumor, anticoagulant, and other activities. As examples, they have been utilized as prebiotics, feed supplements for aquaculture, poultry, and swine, elicitors for plants and microorganisms, cryoprotectors for frozen foods, and postharvest treatments. This review comprehensively covers methods for AOS production from alginate, such as physical/chemical methods, enzymatic methods, fermentation, organic synthesis, and biosynthesis. Moreover, current progress in structural characterization, potential health benefits, and AOS metabolism after ingestion are summarized in this review. This review will discuss methods for producing and modified AOS with desirable structures that are suited for novel applications.

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BackgroundOver application of phosphate fertilizers in modern agriculture contaminates waterways and disrupts natural ecosystems. Nevertheless, this is a common practice among farmers, especially in developing countries as abundant fertilizers are believed to boost crop yields. The study of plant phosphate metabolism and its underlying genetic pathways is key to discovering methods of efficient fertilizer usage. The work presented here describes a genome-wide resource on the molecular dynamics underpinning the response and recovery in roots and shoots of Arabidopsis thaliana to phosphate-starvation.ResultsGenome-wide profiling by micro- and tiling-arrays (accessible from GEO: GSE34004) revealed minimal overlap between root and shoot transcriptomes suggesting two independent phosphate-starvation regulons. Novel gene expression patterns were detected for over 1000 candidates and were classified as either initial, persistent, or latent responders. Comparative analysis to AtGenExpress identified cohorts of genes co-regulated across multiple stimuli. The hormone ABA displayed a dominant role in regulating many phosphate-responsive candidates. Analysis of co-regulation enabled the determination of specific versus generic members of closely related gene families with respect to phosphate-starvation. Thus, among others, we showed that PHR1-regulated members of closely related phosphate-responsive families (PHT1;1, PHT1;7–9, SPX1-3, and PHO1;H1) display greater specificity to phosphate-starvation than their more generic counterparts.ConclusionOur results uncover much larger, staged responses to phosphate-starvation than previously described. To our knowledge, this work describes the most complete genome-wide data on plant nutrient stress to-date.

This paper examines the antecedents of felt trust, an under-explored area in the trust literature. We hypothesized that subordinates’ felt trust would relate positively with their leaders’ moral leadership behaviors and negatively with autocratic leadership behaviors and demographic differences between leaders and themselves. We also hypothesized the above relationships to be mediated by the leader-member value congruence. Results supported our hypotheses that value congruence mediated between autocratic leadership behaviors and demographic differences and subordinates’ felt trust, but not moral leadership behaviors, which had direct effects on subordinates’ perception of feeling trusted. Theoretical and practical implications are discussed. Copyright Springer Science+Business Media, LLC 2007Feeling trusted, Value congruence, Chinese managers,

Based on Arabidopsis microarray, we found 8 WRKY genes were up-regulated with Oxalic acid (OA) challenge, AtWRKY28 and AtWRKY75 overexpression lines showed enhanced resistance to OA and Sclerotinia sclerotiorum. The WRKY transcription factors are involved in various plant physiological processes and most remarkably in coping with diverse biotic and abiotic stresses. Oxalic acid (OA) is an important pathogenicity-determinant of necrotrophic phytopathogenic fungi, such as Sclerotina sclerotiorum (S. sclerotiorum) and Botrytis cinerea (B. cinerea). The identification of differentially expressed genes under OA stress should facilitate our understanding of the pathogenesis mechanism of OA-producing fungi in host plants, and the mechanism of how plants respond to OA and pathogen infection. Based on Arabidopsis oligo microarray, we found 8 WRKY genes that were up-regulated upon OA challenge. The Arabidopsis plants overexpressing AtWRKY28 and AtWRK75 showed enhanced resistance to OA and S. sclerotiorum simultaneously. Furthermore, our results showed that overexpression of AtWRKY28 and AtWRK75 induced oxidative burst in host plants, which suppressed the hyphal growth of S. sclerotiorum, and consequently inhibited fungal infection. Gene expression profiling indicates that both AtWRKY28 and AtWRKY75 are transcriptional regulators of salicylic acid (SA)- and jasmonic acid/ethylene (JA/ET)-dependent defense signaling pathways, AtWRKY28 and AtWRKY75 mainly active JA/ET pathway to defend Arabidopsis against S. sclerotiorum and oxalic acid stress.

Improved soybean cultivars have been adapted to grow at a wide range of latitudes, enabling expansion of cultivation worldwide. However, the genetic basis of this broad adaptation is still not clear. Here, we report the identification of GmPRR3b as a major flowering time regulatory gene that has been selected during domestication and genetic improvement for geographic expansion. Through a genome-wide association study of a diverse soybean landrace panel consisting of 279 accessions, we identified 16 candidate quantitative loci associated with flowering time and maturity time. The strongest signal resides in the known flowering gene E2, verifying the effectiveness of our approach. We detected strong signals associated with both flowering and maturity time in a genomic region containing GmPRR3b. Haplotype analysis revealed that GmPRR3b H6 is the major form of GmPRR3b that has been utilized during recent breeding of modern cultivars. mRNA profiling analysis showed that GmPRR3b H6 displays rhythmic and photoperioddependent expression and is preferentially induced under long-day conditions. Overexpression of GmPRR3b H6 increased main stem node number and yield, while knockout of GmPRR3b H6 using CRISPR/ Cas9 technology delayed growth and the floral transition. GmPRR3b H6 appears to act as a transcriptional repressor of multiple predicted circadian clock genes, including GmCCA1a, which directly upregulates J/GmELF3a to modulate flowering time. The causal SNP (Chr12:5520945) likely endows GmPRR3b H6 a moderate but appropriate level of activity, leading to early flowering and vigorous growth traits preferentially selected during broad adaptation of landraces and improvement of cultivars.

Maize starch plays a critical role in food processing and industrial application. The pasting properties, the most important starch characteristics, have enormous influence on fabrication property, flavor characteristics, storage, cooking, and baking. Understanding the genetic basis of starch pasting properties will be beneficial for manipulation of starch properties for a given purpose. Genome-wide association studies (GWAS) are becoming a powerful tool for dissecting the complex traits. Here, we carried out GWAS for seven pasting properties of maize starch with a panel of 230 inbred lines and 145,232 SNPs using one single-locus method, genome-wide efficient mixed model association (GEMMA), and three multi-locus methods, FASTmrEMMA, FarmCPU, and LASSO. We totally identified 60 quantitative trait nucleotides (QTNs) for starch pasting properties with these four GWAS methods. FASTmrEMMA detected the most QTNs (29), followed by FarmCPU (19) and LASSO (12), GEMMA detected the least QTNs (7). Of these QTNs, seven QTNs were identified by more than one method simultaneously. We further investigated locations of these significantly associated QTNs for possible candidate genes. These candidate genes and significant QTNs provide the guidance for further understanding of molecular mechanisms of starch pasting properties. We also compared the statistical powers and Type I errors of the four GWAS methods using Monte Carlo simulations. The results suggest that the multi-locus method is more powerful than the single-locus method and a combination of these multi-locus methods could help improve the detection power of GWAS.