Substrate Specificity of α-Glucosidase II in Rice Seed

The substrate specificity of rice α-glucosidase II was studied. The enzyme was active especially on nigerose, phenyl-α-maltoside and maltooligosaccharides. The actions on isomaltose and phenyl-α-glucoside were weak, and on sucrose and methyl-α-glucoside, negligible. The α-glucans, such as soluble starch, amylopectin, β-limit dextrin, glycogen and amylose, were also hydrolyzed.

The ratio of the maximum velocities for hydrolyses of maltose (G₂), nigerose (N), kojibiose (K), isomaltose (I), phenyl-α-maltoside (?M) and soluble starch (SS) was estimated to be 100: 94.4: 14.2: 7.1: 89.5: 103.1 in this order, and that for hydrolyses of malto-triose (G₃), -tetraose (G₄), -pentaose (G₅), -hexaose (G₆), -heptaose (G₇), -octaose (G₈), and amyloses ( and ), 113: 113: 113: 106: 113: 100: 106: 106. The Km values for N, K, I, ?M and SS were 2.4 mm, 0.58 mm, 20 mm, 1.6 mm and 5.0 mg/ml, respectively; those for G₂, G₃, G₄, G₅, G₆, G₇, G₈, and , 2.4 mm, 2.2 mm, 2.1 mm, 1.5 mm, 1.0 mm, 1.1 mm, 0.95 mm, 1.5 mm and 1.1 mm.

Rice α-glucosidase II is considered an enzyme with a preferential activity on maltooligosaccharides.     

Seed Dynamics in Relation to Gaps in a Tropical Montane Rainforest of Hainan Island, South China: (Ⅱ) Seed Bank

Spatial and temporal patterns of seed bank dynamics In relation to gaps in an old growth tropical montane rainforast of Hainan Island, South China, were studied over two consecutive years. From June 2001 to June 2003, soil seed bank sampling blocks were taken near each of the four sides of each seed trap and immediately put into a nursery for observation of seedling emergence dynamics in four seasons (each experiment in each season). The abundances of seedlings that emerged from seed banks showed the trend of vine functional group (VFG) > shrub functional group (SFG) > tree functional group (TFG) > herb functional group (HFG), but the trend in species richness of seedlings that emerged from the soil seed banks was TFG > VFG > SFG > HFG. The abundances of seedlings that emerged from seed banks in the three gap zones showed no significant differences, but significant differences did exist for the species richness. The time of sampling or seasons of experiments had significant influences on both the species richness and seedling abundances. The seedling emergence processes of each experiment all revealed the unimodal patterns. Few emergences occurred 1 year after each experiment. Compared with those under closed canopies, the recruitment rates from seed to seedlings and from seedlings to saplings in gaps were higher, but the mortality rates from saplings to big trees were also higher in the gaps.     

Substrate Specificity of an α-Glucosidase in Sugar Beet Seed

The substrate specificity of sugar beet α-giucosidase was investigated. The enzyme showed a relatively wide specificity upon various substrates, having α-1,2-, α-1,3-, α-1,4- and α-l,6-glucosidic linkages.

The relative hydrolysis velocity for maltose (G2), nigerose (N), kojibiose (K), isomaltose (I), panose (P), phenyl-a-maltoside (?M) and soluble starch (SS) was estimated to be 100:130: 10.7: 22.6: 54.6: 55.8: 120 in this order; that for malto-triose (G3), -tetraose (G4), -pentaose (G5), -hexaose (G6), -heptaose (G7), -octaose (G8), amyloses (G13) and (G17), 91: 91: 91: 91: 80: 57: 75: 73. The Km values for N, K, I, P, and SS were 16.7 mM, 1.25 mM, 10.8 mM, 8.00 mM, 4.12 mM and 1.90 mg/ml, respectively; that for G2, G3, G4, G5, G6, G7, G8, G13 and G17 were 20.0 mM, 3.67 mM, 2.34 mM, 0,64 mM, 0.42 mM, 0.32 mM, 0.23 mM, 0.36 mM and 0.26 mM, respectively.

The enzyme, though showed higher affinity and activity toward soluble starch than toward maltose, was considered essentially to be an α-glucosidase.     

Seed Dynamics in Relation to Gaps in a Tropical Montane Rainforest of Hainan Island, South China： （I） Seed Rain

Seed dynamics is an important part of stand dynamics in forest ecosystems. In this paper, 26 gaps were randomly selected to study the influence of gaps on the spatial and temporal patterns of seed rains in a tropical montane rainforest of Hainan Island, South China. Three zones for each gap, including outside gap zone （Non-gap）, transitional gap zone （EG-CG）, and central gap zone （CG）, were designed, and fourseed traps （each lm x lm in size） were placed in each zone. Seed rains were collected by these traps every 10 days from June 2001 to May 2002. Seed rain varied greatly with season and generally exhibited a pattern of unimodal change during the study period： seed abundance and species richness were both greater in the wet season than in the dry season. Gaps significantly influenced the temporal patterns of both species richness and density of seed rains. Gaps had no significant influences on the spatial distribution patterns of seed rain species richness, but significantly affected the spatial distribution pattern of seed rain densities. Among the three different zones of gaps, the outside gap zone generally received more seeds inputs than the two other gap zones.     

Thermal Hardening： A New Seed Vigor Enhancement Tool in Rice

In a laboratory study, indica and japonica rice (Oryza sativa L.) seeds were exposed to thermal hardening (heating followed by chilling followed by heating; chilling followed by heating followed by chilling; heating followed by chilling or chilling followed by heating). In indica rice, heating followed by chilling followed by heating resulted in decreased mean germination time, time to start germination, electrical conductivity of seed leachates, and time to 50% germination, as well as increased germination index, energy of germination, radicle and plumule length, root length, root/shoot ratio, root fresh and dry weight, radicle and plumule growth rate, and shoot fresh weight. In japonica rice, chilling followed by heating followed by chilling performed better than all other treatments, including control.     

Seed Storage Glutelin α-2 Subunit Lacking Mutants in Rice

Nine rice Oryza sativa L.） mutant lines lacking the seed storage glutelin α-2 subunit were obtained from the progenies of fertilized egg cells treated with N-methy-N-nitrosourea (MNU). The mutants could be classified into three types: the α-1 subunit increased type (α-1H/α-2L), decreased the β-2 subunit decreased type (β-2L/α-2L) and the α-3 subunit increased type (α-3H/α-2L) according to their SDS-PAGE profiles. Two-dimensional electrophoresis analysis revealed that all of the mutants lacked a polypeptide of pI 6.71/α-2, while new polypeptides of pI 6.50/α-1 and pI 6.90/α-3 formed in α-1H/α-2L and α-3H/α-2L mutants respectively. Although the β-2L/α-2L mutants did not form new polypeptide, their pI 8.74/β-2 polypeptide was also decreased, suggesting that the two polypeptides decreased in β-2L/α-2L mutants might derive from the same glutelin precursor. These mutant lines are very useful in studying genetic characterisation,the mechanism of genetic regulation on biosynthesis, gene function and proteomics of rice seed storage glutelin.     

Identification of QTLs with Additive,Epistatic, and QTL × Seed Maturity Interaction Effects for Seed Vigor in Rice

Seed maturity is a critical process of seed vigor establishment. In this study, one rice population of recombinant inbred lines (RILs) was used to determine the genetic characteristics of seed vigor, including the germination potential (GP), germination rate (GR), germination index (GI), and time for 50 % of germination (T₅₀), at 4, 5, and 6 weeks after heading in 2 years. Significant differences of seed vigor were observed among two parents and RIL population; the heritability of four traits was more than 90 % at three maturity stages. A total of 19 additive and 2 epistatic quantitative trait loci (QTL) for seed vigor were identified using QTL Cartographer and QTLNetwork program, respectively, in 2012, while 16 simple sequence repeat (SSR) markers associated with seed vigor were detected using bulked segregant analysis (BSA) in 2013. The phenotypic variation explained by each additive, epistatic QTL, and QTL × seed maturity interaction ranged from 9.19 to 22.94 %, 7.23 to 7.75 %, and 0.05 to 0.63 %, respectively. Ten additive QTLs were stably expressed in 2 years which might play important roles in establishment of seed vigor in different environments. By comparing chromosomal positions of ten stably expressed additive QTLs with those previously identified, they might be true QTLs for seed vigor; the regions of QTLs for seed vigor are likely to coincide with QTLs for seed dormancy, seed reserve mobilization, low-temperature germinability, and seedling growth. Using four selected RILs, three cross-combinations were predicted to improve seed vigor; 9 to 10 elite alleles could be pyramided by each combination. The selected RILs and the identified QTLs might be applicable for the improvement of seed vigor by marker-assisted selection (MAS) in rice.     

The Chloroplast trnT–trnF Region in the Seed Plant Lineage Gnetales

The trnT–trnF region is located in the large single-copy region of the chloroplast genome. It consists of the trnL intron, a group I intron, and the trnT–trnL and trnL–trnF intergenic spacers. We analyzed the evolution of the region in the three genera of the gymnosperm lineage Gnetales (Gnetum, Welwitschia, and Ephedra), with especially dense sampling in Gnetum for which we sequenced 41 accessions, representing most of the 25–35 species. The trnL intron has a conserved secondary structure and contains elements that are homologous across land plants, while the spacers are so variable in length and composition that homology cannot be found even among the three genera. Palindromic sequences that form hairpin structures were detected in the trnL–trnF spacer, but neither spacer contained promoter elements for the tRNA genes. The absence of promoters, presence of hairpin structures in the trnL–trnF spacer, and high sequence variation in both spacers together suggest that trnT and trnF are independently transcribed. Our model for the expression and processing of the genes tRNA^Thr(UGU), tRNA^Leu(UAA), and tRNA^Phe (GAA) therefore attributes the seemingly neutral evolution of the two spacers to their escape from functional constraints. [Reviewing Editor: Debashish Bhattacharya]     

Polycomb-group （Pc-G） Proteins Control Seed Development in Arabidopsis thaliana L.

Polycomb-group （Pc-G） proteins repress their target gene expression by assemble complexes in Drosophila and mammals. Three groups of Pc-G genes, controlling seed development, flower development and vernalization response, have been identified in Arabidopsis （Arabidopsis thaliana L.）. MEDEA （MEA）, FERTILIZATION INDEPENDENT SEED2 （FIS2）, and FERTILIZATION INDEPENDENT ENDOSPERM （FIE） are Pc-G genes in Arabidopsis. Their functions in seed development have been extensively explored. The advanced findings of molecular mechanism on how MEA, FIS2 and FIE control seed development in Arabidopsis are reviewed in this paper.     

Can Retinal Ganglion Cell Dipoles Seed Iso-Orientation Domains in the Visual Cortex?

It has been argued that the emergence of roughly periodic orientation preference maps (OPMs) in the primary visual cortex (V1) of carnivores and primates can be explained by a so-called statistical connectivity model. This model assumes that input to V1 neurons is dominated by feed-forward projections originating from a small set of retinal ganglion cells (RGCs). The typical spacing between adjacent cortical orientation columns preferring the same orientation then arises via Moiré-Interference between hexagonal ON/OFF RGC mosaics. While this Moiré-Interference critically depends on long-range hexagonal order within the RGC mosaics, a recent statistical analysis of RGC receptive field positions found no evidence for such long-range positional order. Hexagonal order may be only one of several ways to obtain spatially repetitive OPMs in the statistical connectivity model. Here, we investigate a more general requirement on the spatial structure of RGC mosaics that can seed the emergence of spatially repetitive cortical OPMs, namely that angular correlations between so-called RGC dipoles exhibit a spatial structure similar to that of OPM autocorrelation functions. Both in cat beta cell mosaics as well as primate parasol receptive field mosaics we find that RGC dipole angles are spatially uncorrelated. To help assess the level of these correlations, we introduce a novel point process that generates mosaics with realistic nearest neighbor statistics and a tunable degree of spatial correlations of dipole angles. Using this process, we show that given the size of available data sets, the presence of even weak angular correlations in the data is very unlikely. We conclude that the layout of ON/OFF ganglion cell mosaics lacks the spatial structure necessary to seed iso-orientation domains in the primary visual cortex.     

Rescuing Robert Brown—The Origins of Angio-Ovuly in Seed Cones of Conifers

Robert Brown (1827) recognized the distinction between the two major classes of seed plants on the basis, respectively, of exposed ovules, which receive pollen directly, and enclosed ovules, which do not, at the time of pollination. The two groups, unfortunately, became known as “Gymnosperms” and “Angiosperms”, a distinction not made by Brown. The names are, at best, useful only as identifying labels. As is established here, gymno-ovuly and angio-ovuly would have been better words and should serve as the most consistent distinguishing character among groups of seed plants. Although conifers can hardly be claimed to be members of any lineage that led to the Angiosperms, the gymno-ovulate method of reproduction must have occurred in the direct ancestors of flowering plants. Interpolating development and functional evidence serves to resurrect Robert Brown’s important but neglected observation and correct misstatements implied in generally accepted systematic terminology. The result of this approach is to discover that the conifers in their reproductive diversity show some trends indicative of those characters that define the flowering plants. Although non-homologous these character manifestations provide useful models which can lead to a better understanding of the origin of “Angiosperms” from “Gymnosperms.” In the complex and extended process of reproductive development in both major groups regular transpositions occur, depending on whether “gymno-”and “angio-”are applied to ovules or seeds. Gymno-ovuly and angio-spermy are the most common conditions in conifers but result in intrinsically opposed processes of pollen reception and subsequent seed protection, which are resolved by successive changes in seed-cone structure. The modern conifers illustrate considerable diversity of ovulate and seed cone structure in relation to several biological functions, including traits that anticipate the angio-ovulate condition, in cone inception, ovule enclosure, pollen and embryo development and seed dispersal. From the paleobotanical record we do have a good grasp of the structural changes in the progressive modification of the coniferous seed cone in conifers, starting with the antecedent Carboniferous Cordaitales. These changes have involved the progressive condensation of a lax, branched strobilus and end with the highly condensed uniovulate “cone” as in many Podocarpus species in which the equivalent of a bitegmic ovule exists. The progressive changes can be perceived typologically among existing conifers but need to be understood as the result of biological processes that suggest increased reproductive efficiency, and can be added to our present quite robust understanding of conifer phylogeny.     

Response of β-Glucosidase to Fungal Infections in Seed, Ovary and Fruit

Localization and changes in the activity of -glucosidase were investigated in wheat caryopsis and glumes infected with Stagonospora nodorum as well as in lily ovaries and harvested tomato fruits both inoculated with Botrytis cinerea. It was established that the pathogen invasion caused splitting of wheat seed coat, xylem blocking in lily carpel and decay in tomato fruits. B. cinerea invasion evoked disorders of the embryogenesis accompanied by a decreased activity of -glucosidase in all ovules. The activity of the enzyme was not changed considerably in wheat seeds as the infection occurred in the late embryonal stages and the embryonal processes were not affected. In the seeds of harvested tomatoes distant from the invaded area the enzyme activity was not changed as well.     

A Single-Nucleotide Polymorphism in an Endo-1,4-β-Glucanase Gene Controls Seed Coat Permeability in Soybean

Physical dormancy, a structural feature of the seed coat known as hard seededness, is an important characteristic for adaptation of plants against unstable and unpredictable environments. To dissect the molecular basis of qHS1, a quantitative trait locus for hard seededness in soybean (Glycine max (L) Merr.), we developed a near-isogenic line (NIL) of a permeable (soft-seeded) cultivar, Tachinagaha, containing a hard-seed allele from wild soybean (G. soja) introduced by successive backcrossings. The hard-seed allele made the seed coat of Tachinagaha more rigid by increasing the amount of β-1,4-glucans in the outer layer of palisade cells of the seed coat on the dorsal side of seeds, known to be a point of entrance of water. Fine-mapping and subsequent expression and sequencing analyses revealed that qHS1 encodes an endo-1,4-β-glucanase. A single-nucleotide polymorphism (SNP) introduced an amino acid substitution in a substrate-binding cleft of the enzyme, possibly reducing or eliminating its affinity for substrates in permeable cultivars. Introduction of the genomic region of qHS1 from the impermeable (hard-seeded) NIL into the permeable cultivar Kariyutaka resulted in accumulation of β-1,4-glucan in the outer layer of palisade cells and production of hard seeds. The SNP allele found in the NIL was further associated with the occurrence of hard seeds in soybean cultivars of various origins. The findings of this and previous studies may indicate that qHS1 is involved in the accumulation of β-1,4-glucan derivatives such as xyloglucan and/or β-(1,3)(1,4)-glucan that reinforce the impermeability of seed coats in soybean.     

Microscopic Modeling of País Grape Seed Extract Absorption in the Small Intestine

The concentration profiles and the absorbed fraction (F) of the País grape seed extract in the human small intestine were obtained using a microscopic model simulation that accounts for the extracts'' dissolution and absorption. To apply this model, the physical and chemical parameters of the grape seed extract solubility (C_s), density (ρ), global mass transfer coefficient between the intestinal and blood content (k) (effective permeability), and diffusion coefficient (D) were experimentally evaluated. The diffusion coefficient (D = 3.45 × 10⁻⁶ ± 5 × 10⁻⁸ cm²/s) was approximately on the same order of magnitude as the coefficients of the relevant constituents. These results were chemically validated to discover that only the compounds with low molecular weights diffused across the membrane (mainly the (+)-catechin and (−)-epicatechin compounds). The model demonstrated that for the País grape seed extract, the dissolution process would proceed at a faster rate than the convective process. In addition, the absorbed fraction was elevated (F = 85.3%). The global mass transfer coefficient (k = 1.53 × 10⁻⁴ ± 5 × 10⁻⁶ cm/s) was a critical parameter in the absorption process, and minor changes drastically modified the prediction of the extract absorption. The simulation and experimental results show that the grape seed extract possesses the qualities of a potential phytodrug.KEY WORDS: dose absorption, mathematical modeling, País grape seed extract, simulation     

Which provenance and where? Seed sourcing strategies for revegetation in a changing environment

Revegetation is one practical application of science that should ideally aim to combine ecology with evolution to maximise biodiversity and ecosystem outcomes. The strict use of locally sourced seed in revegetation programs is widespread and is based on the expectation that populations are locally adapted. This practice does not fully integrate two global drivers of ecosystem change and biodiversity loss: habitat fragmentation and climate change. Here, we suggest amendments to existing strategies combined with a review of alternative seed-sourcing strategies that propose to mitigate against these drivers. We present a provenancing selection guide based on confidence surrounding climate change distribution modelling and data on population genetic and/or environmental differences between populations. Revegetation practices will benefit from greater integration of current scientific developments and establishment of more long-term experiments is key to improving the long-term success. The rapid growth in carbon and biodiversity markets creates a favourable economic climate to achieve these outcomes.