Impact of pod and seed photosynthesis on seed filling and canopy carbon gain in soybean.

There is a limited understanding of the carbon assimilation capacity of nonfoliar green tissues and its impact on yield and seed quality since most photosynthesis research focuses on leaf photosynthesis. In this study, we investigate the photosynthetic efficiency of soybean (Glycine max) pods and seeds in a field setting and evaluate its effect on mature seed weight and composition. We demonstrate that soybean pod and seed photosynthesis contributes 13% to 14% of the mature seed weight. Carbon assimilation by soybean pod and seed photosynthesis can compensate for 81% of carbon loss through the respiration of the same tissues, and our model predicts that soybean pod and seed photosynthesis contributes up to 9% of the total daily carbon gain of the canopy. Chlorophyll fluorescence (CF) shows that the operating efficiency of photosystem II in immature soybean seeds peaks at the 10 to 100 mg seed weight stage, while that of immature pods peaks at the 75 to 100 mg stage. This study provides quantitative information about the efficiency of soybean pod and seed photosynthesis during tissue development and its impact on yield.

An embryo lethal transgenic line manifests global expression changes and elevated protein/oil ratios in heterozygous soybean plants.

Understanding the molecular processes of seed development is important especially in agronomic crops that produce large amounts of nutrient reserves. Because soybean is a vital source of vegetable protein worldwide, producers are concerned about increasing the total amount of protein in the seed without substantially lowering the amount of oil, another economically important product. Here we describe a transgenic soybean line with increased protein and protein/oil ratio, containing an average of 42.2% protein vs. 38.5% in controls and with a protein/oil ratio of 2.02 vs. 1.76 in controls over several generations of greenhouse growth. Other phenotypic data show that the seeds are heavier, although there are overall lower yields per plant. We postulate these effects result from insertion site mutagenesis by the transgenic construct. As this line never achieves homozygosity and appears to be embryo lethal when homozygous, one functional copy of the gene is most likely essential for normal seed development. Global transcript analyses using RNA-Seq for 88,000 gene models over two stages of cotyledon development revealed that more genes are over-expressed in the transgenic line including ribosomal protein related genes and those in the membrane protein and transporters families. Localization of the insertion site should reveal the genes and developmental program that has been perturbed by the transgenic construct, resulting in this economically interesting increase in protein and the protein/oil ratio.

Nonallelic homologous recombination events responsible for copy number variation within an RNA silencing locus.

The structure of chalcone synthase (CHS) gene repeats in different alleles of the I (inhibitor) locus in soybean spawns endogenous RNA interference (RNAi) that leads to phenotypic change in seed coat color of this major agronomic crop. Here, we examined CHS gene copy number by digital PCR and single nucleotide polymorphisms (SNPs) through whole genome resequencing of 15 cultivars that varied in alleles of the I locus (I, ii , ik , and i) that control the pattern distribution of pigments in the seed coats. Lines homozygous for the ii allele had the highest copy number followed by the I and ik cultivars which were more related to each other than to the lines with ii alleles. Some of the recessive i alleles were spontaneous mutations, and each revealed a loss of copy number by digital PCR relative to the parent varieties. Amplicon sequencing and whole genome resequencing determined that the breakpoints of several ii to i mutations resulted from nonallelic homologous recombination (NAHR) events between CHS genes located in segmental duplications leading to large 138-kilobase deletions that erase the structure generating the CHS siRNAs along with eight other non-CHS genes. Functional hybrid CHS genes (designated CHS5:1) were formed in the process and represent rare examples of NAHR in higher plants that have been captured by examining spontaneous mutational events in isogenic mutant lines.

Mutations in Argonaute5 Illuminate Epistatic Interactions of the K1 and I Loci Leading to Saddle Seed Color Patterns in Glycine max.

The soybean (Glycine max) seed coat has distinctive, genetically programmed patterns of pigmentation, and the recessive k1 mutation can epistatically overcome the dominant I and ii alleles, which inhibit seed color by producing small interfering RNAs (siRNAs) targeting chalcone synthase (CHS) mRNAs. Small RNA sequencing of dissected regions of immature seed coats demonstrated that CHS siRNA levels cause the patterns produced by the ii and ik alleles of the I locus, which restrict pigment to the hilum or saddle region of the seed coat, respectively. To identify the K1 locus, we compared RNA-seq data from dissected regions of two Clark isolines having similar saddle phenotypes mediated by CHS siRNAs but different genotypes (homozygous ik K1 versus homozygous ii k1). By examining differentially expressed genes, mapping information, and genome resequencing, we identified a 129-bp deletion in Glyma.11G190900 encoding Argonaute5 (AGO5), a member of the Argonaute family. Amplicon sequencing of several independent saddle pattern mutants from different genetic backgrounds revealed independent lesions affecting AGO5, thus establishing Glyma.11G190900 as the K1 locus. Nonfunctional AGO5 from k1 alleles leads to altered distributions of CHS siRNAs, thus explaining how the k1 mutation reverses the phenotype of the seed coat regions from yellow to pigmented, even in the presence of the normally dominant I or ii alleles.

Direct detection of transcription factors in cotyledons during seedling development using sensitive silicon-substrate photonic crystal protein arrays.

Transcription factors control important gene networks, altering the expression of a wide variety of genes, including those of agronomic importance, despite often being expressed at low levels. Detecting transcription factor proteins is difficult, because current high-throughput methods may not be sensitive enough. One-dimensional, silicon-substrate photonic crystal (PC) arrays provide an alternative substrate for printing multiplexed protein microarrays that have greater sensitivity through an increased signal-to-noise ratio of the fluorescent signal compared with performing the same assay upon a traditional aminosilanized glass surface. As a model system to test proof of concept of the silicon-substrate PC arrays to directly detect rare proteins in crude plant extracts, we selected representatives of four different transcription factor families (zinc finger GATA, basic helix-loop-helix, BTF3/NAC [for basic transcription factor of the NAC family], and YABBY) that have increasing transcript levels during the stages of seedling cotyledon development. Antibodies to synthetic peptides representing the transcription factors were printed on both glass slides and silicon-substrate PC slides along with antibodies to abundant cotyledon proteins, seed lectin, and Kunitz trypsin inhibitor. The silicon-substrate PC arrays proved more sensitive than those performed on glass slides, detecting rare proteins that were below background on the glass slides. The zinc finger transcription factor was detected on the PC arrays in crude extracts of all stages of the seedling cotyledons, whereas YABBY seemed to be at the lower limit of their sensitivity. Interestingly, the basic helix-loop-helix and NAC proteins showed developmental profiles consistent with their transcript patterns, indicating proof of concept for detecting these low-abundance proteins in crude extracts.

The transition from primary siRNAs to amplified secondary siRNAs that regulate chalcone synthase during development of Glycine max seed coats.

The I locus is a 27-kb inverted repeat cluster of chalcone synthase genes CHS1-3-4 that mediates siRNA down-regulation of CHS7 and CHS8 target mRNAs during seed development leading to yellow seed coats lacking anthocyanin pigments. Here, we report small RNA sequencing of ten stages of seed development from a few days post fertilization through maturity, revealing the amplification from primary to secondary short interfering RNAs (siRNAs) occurring during development. The young seed populations had a higher proportion of siRNAs representing the CHS1-3-4 gene family members, consistent with this region as the origin of the primary siRNAs. More intriguingly, the very young seed had a higher proportion of 22-nt CHS siRNAs than did the mid-maturation seed. We infer that the primary CHS siRNAs increase during development to levels sufficient to trigger amplification of secondary CHS siRNAs from the CHS7/8 target mRNAs, enabling the total levels of 21-nt CHS siRNAs to rise dramatically. Further, we demonstrate that the soybean system exhibits tissue-specific CHS siRNA production because primary CHS siRNA levels are not sufficient to trigger secondary amplification in tissues other than the seed coat.

Using RNA-Seq to profile soybean seed development from fertilization to maturity.

To understand gene expression networks leading to functional properties and compositional traits of the soybean seed, we have undertaken a detailed examination of soybean seed development from a few days post-fertilization to the mature seed using Illumina high-throughput transcriptome sequencing (RNA-Seq). RNA was sequenced from seven different stages of seed development, yielding between 12 million and 78 million sequenced transcripts. These have been aligned to the 79,000 gene models predicted from the soybean genome recently sequenced by the Department of Energy Joint Genome Institute. Over one hundred gene models were identified with high expression exclusively in young seed stages, starting at just four days after fertilization. These were annotated as being related to many basic components and processes such as histones and proline-rich proteins. Genes encoding storage proteins such as glycinin and beta-conglycinin had their highest expression levels at the stages of largest fresh weight, confirming previous knowledge that these storage products are being rapidly accumulated before the seed begins the desiccation process. Other gene models showed high expression in the dry, mature seeds, perhaps indicating the preparation of pathways needed later, in the early stages of imbibition. Many highly-expressed gene models at the dry seed stage are, as expected, annotated as hydrophilic proteins associated with low water conditions, such as late embryogenesis abundant (LEA) proteins and dehydrins, which help preserve the cellular structures and nutrients within the seed during desiccation. More significantly, the power of RNA-Seq to detect genes expressed at low levels revealed hundreds of transcription factors with notable expression in at least one stage of seed development. Results from a second biological replicate demonstrate high reproducibility of these data revealing a comprehensive view of the transciptome of seed development in the cultivar Williams, the reference cultivar for the first soybean genome sequence.

Divergent patterns of endogenous small RNA populations from seed and vegetative tissues of Glycine max.

BACKGROUND: Small non-coding RNAs (smRNAs) are known to have major roles in gene regulation in eukaryotes. In plants, knowledge of the biogenesis and mechanisms of action of smRNA classes including microRNAs (miRNAs), short interfering RNAs (siRNAs), and trans-acting siRNAs (tasiRNAs) has been gained mostly through studies with Arabidopsis. In recent years, high throughput sequencing of smRNA populations has enabled extension of knowledge from model systems to plants with larger, more complex genomes. Soybean (Glycine max) now has many genomics resources available including a complete genome sequence and predicted gene models. Relatively little is known, however, about the full complement of its endogenous smRNAs populations and the silenced genes. RESULTS: Using Illumina sequencing and computational analysis, we characterized eight smRNA populations from multiple tissues and organs of soybean including developing seed and vegetative tissues. A total of 41 million raw sequence reads collapsed into 135,055 unique reads were mapped to the soybean genome and its predicted cDNA gene models. Bioinformatic analyses were used to distinguish miRNAs and siRNAs and to determine their genomic origins and potential target genes. In addition, we identified two soybean TAS3 gene homologs, the miRNAs that putatively guide cleavage of their transcripts, and the derived tasiRNAs that could target soybean genes annotated as auxin response factors. Tissue-differential expression based on the flux of normalized miRNA and siRNA abundances in the eight smRNA libraries was evident, some of which was confirmed by smRNA blotting. Our global view of these smRNA populations also revealed that the size classes of smRNAs varied amongst different tissues, with the developing seed and seed coat having greater numbers of unique smRNAs of the 24-nt class compared to the vegetative tissues of germinating seedlings. The 24-nt class is known to be derived from repetitive elements including transposons. Detailed analysis of the size classes associated with ribosomal RNAs and transposable element families showed greater diversity of smRNAs in the 22- and 24-nt size classes. CONCLUSIONS: The flux of endogenous smRNAs within multiple stages and tissues of seed development was contrasted with vegetative tissues of soybean, one of the dominant sources of protein and oil in world markets. The smRNAs varied in size class, complexity of origins, and possible targets. Sequencing revealed tissue-preferential expression for certain smRNAs and expression differences among closely related miRNA family members.

Using photonic crystal enhanced fluorescence on quartz substrates to improve the sensitivity of DNA microarrays.

Gene expression analysis of low abundance genes remains difficult when DNA microarrays are performed on standard glass substrates. However, we have shown that by using photonic crystals (PC) made on quartz substrates, the fluorescence intensity of Cyanine-5 (Cy5) labeled microarray spots is greatly enhanced. In a 1-color microarray experiment studying gene expression of soybean cotyledon tissue, an average signal enhancement factor of 17.8× was observed on the PC. Furthermore, twice as many genes were detectable on these PCs as compared to glass. By improving the sensitivity of this fluorescent assay, low expression genes that were undetectable on glass were quantified on the PC.

Improved sensitivity of DNA microarrays using photonic crystal enhanced fluorescence.

DNA microarrays are used to profile changes in gene expression between samples in a high-throughput manner, but measurements of genes with low expression levels can be problematic with standard microarray substrates. In this work, we expand the detection capabilities of a standard microarray experiment using a photonic crystal (PC) surface that enhances fluorescence observed from microarray spots. This PC is inexpensively and uniformly fabricated using a nanoreplica molding technique, with very little variation in its optical properties within- and between-devices. By using standard protocols to process glass microarray substrates in parallel with PCs, we evaluated the impact of this substrate on a one-color microarray experiment comparing gene expression in two developmental stages of Glycine max. The PCs enhanced the signal-to-noise ratio observed from microarray spots by 1 order of magnitude, significantly increasing the number of genes detected above substrate fluorescence noise. PC substrates more than double the number of genes classified as differentially expressed, detecting changes in expression even for low expression genes. This approach increases the dynamic range of a surface-bound fluorescence-based assay to reliably quantify small quantities of DNA that would be impossible with standard substrates.

Flux of transcript patterns during soybean seed development.

BACKGROUND: To understand gene expression networks leading to functional properties of the soybean seed, we have undertaken a detailed examination of soybean seed development during the stages of major accumulation of oils, proteins, and starches, as well as the desiccating and mature stages, using microarrays consisting of up to 27,000 soybean cDNAs. A subset of these genes on a highly-repetitive 70-mer oligonucleotide microarray was also used to support the results. RESULTS: It was discovered that genes related to cell growth and maintenance processes, as well as energy processes like photosynthesis, decreased in expression levels as the cotyledons approached the mature, dry stage. Genes involved with some storage proteins had their highest expression levels at the stage of highest fresh weight. However, genes encoding many transcription factors and DNA binding proteins showed higher expression levels in the desiccating and dry seeds than in most of the green stages. CONCLUSIONS: Data on 27,000 cDNAs have been obtained over five stages of soybean development, including the stages of major accumulation of agronomically-important products, using two different types of microarrays. Of particular interest are the genes found to peak in expression at the desiccating and dry seed stages, such as those annotated as transcription factors, which may indicate the preparation of pathways that will be needed later in the early stages of imbibition and germination.

Optimizing the spatial resolution of photonic crystal label-free imaging.

A theory is derived to describe the relationship between photonic crystal (PC) label-free imaging resolution and PC resonance spectral linewidth and location. PCs are fabricated and patterned with a resolution standard photomask in order to verify this relationship experimentally. Two distinct linear resolutions of <1 microm and 3.5 microm are demonstrated in orthogonal directions on a single device, where the former is limited by the imaging system optics and the latter is constrained by finite resonant mode propagation. In order to illustrate the utility of improved design control, the spectral response of a PC is optimized for label-free imaging of immobilized DNA capture spots on a microarray.

A detection instrument for enhanced-fluorescence and label-free imaging on photonic crystal surfaces.

We report on the design and demonstration of an optical imaging system capable of exciting surface-bound fluorophores within the resonant evanescent electric field of a photonic crystal surface and gathering fluorescence emission that is directed toward the imaging objective by the photonic crystal. The system also has the ability to quantify shifts in the local resonance angle induced by the adsorption of biomolecules on the photonic crystal surface for label-free biomolecular imaging. With these two capabilities combined within a single detection system, we demonstrate label-free images self-registered to enhanced fluorescence images with 328x more sensitive fluorescence detection relative to a glass surface. This technique is applied to a DNA microarray where label-free quantification of immobilized capture DNA enables improved quality control and subsequent enhanced fluorescence detection of dye-tagged hybridized DNA yields 3x more genes to be detected versus commercially available microarray substrates.