Fertility restoration of maize CMS-C altered by a single amino acid substitution within the Rf4 bHLH transcription factor.

Type C cytoplasmic male sterility (CMS-C) is the most commonly used form of CMS in maize hybrid seed production. Restorer of fertility 4 (Rf4), the major fertility restorer gene of CMS-C, is located on chromosome 8S. To positionally clone Rf4, a large F3 population derived from a cross between a non-restorer and restorer (n = 5104) was screened for recombinants and then phenotyped for tassel fertility, resulting in a final map-based cloning interval of 12 kb. Within this 12-kb interval, the only likely candidate for Rf4 was GRMZM2G021276, a basic helix-loop-helix (bHLH) transcription factor with tassel-specific expression. The Rf4 gene product contains a nuclear localization signal and is likely to not interact directly with the mitochondria. Sequence analysis of Rf4 revealed four encoded amino acid substitutions between restoring and non-restoring inbreds, however only one substitution, F187Y, was within the highly conserved bHLH domain. The hypothesis that Rf4 restoration is altered by a single amino acid was tested by using clustered regularly interspaced short palindromic repeat (CRISPR)-CRISPR associated protein 9 (Cas9) homology directed repair (HDR) to create isogenic lines that varied for the F187Y substitution. In a population of these CRISPR-Cas9 edited plants (n = 780) that was phenotyped for tassel fertility, plants containing F187 were completely fertile, indicating fertility restoration, and plants containing Y187 were sterile, indicating lack of fertility restoration. Structural modeling shows that this amino acid residue 187 is located within the four helix bundle core, a critical region for stabilizing dimer conformation and affecting interaction partner selection.

Cheminformatics and artificial intelligence for accelerating agrochemical discovery.

The global cost-benefit analysis of pesticide use during the last 30 years has been characterized by a significant increase during the period from 1990 to 2007 followed by a decline. This observation can be attributed to several factors including, but not limited to, pest resistance, lack of novelty with respect to modes of action or classes of chemistry, and regulatory action. Due to current and projected increases of the global population, it is evident that the demand for food, and consequently, the usage of pesticides to improve yields will increase. Addressing these challenges and needs while promoting new crop protection agents through an increasingly stringent regulatory landscape requires the development and integration of infrastructures for innovative, cost- and time-effective discovery and development of novel and sustainable molecules. Significant advances in artificial intelligence (AI) and cheminformatics over the last two decades have improved the decision-making power of research scientists in the discovery of bioactive molecules. AI- and cheminformatics-driven molecule discovery offers the opportunity of moving experiments from the greenhouse to a virtual environment where thousands to billions of molecules can be investigated at a rapid pace, providing unbiased hypothesis for lead generation, optimization, and effective suggestions for compound synthesis and testing. To date, this is illustrated to a far lesser extent in the publicly available agrochemical research literature compared to drug discovery. In this review, we provide an overview of the crop protection discovery pipeline and how traditional, cheminformatics, and AI technologies can help to address the needs and challenges of agrochemical discovery towards rapidly developing novel and more sustainable products.

Sugarcane DIRIGENT and O-methyltransferase promoters confer stem-regulated gene expression in diverse monocots.

Transcription profiling analysis identified Saccharum hybrid DIRIGENT (SHDIR16) and Omicron-Methyltransferase (SHOMT), putative defense and fiber biosynthesis-related genes that are highly expressed in the stem of sugarcane, a major sucrose accumulator and biomass producer. Promoters (Pro) of these genes were isolated and fused to the beta-glucuronidase (GUS) reporter gene. Transient and stable transgene expression analyses showed that both Pro( DIR16 ):GUS and Pro( OMT ):GUS retain the expression characteristics of their respective endogenous genes in sugarcane and function in orthologous monocot species, including rice, maize and sorghum. Furthermore, both promoters conferred stem-regulated expression, which was further enhanced in the stem and induced in the leaf and root by salicylic acid, jasmonic acid and methyl jasmonate, key regulators of biotic and abiotic stresses. Pro( DIR16 ) and Pro( OMT ) will enable functional gene analysis in monocots, and will facilitate engineering monocots for improved carbon metabolism, enhanced stress tolerance and bioenergy production.

Development of highly polymorphic SNP markers from the complexity reduced portion of maize [Zea mays L.] genome for use in marker-assisted breeding.

The duplicated and the highly repetitive nature of the maize genome has historically impeded the development of true single nucleotide polymorphism (SNP) markers in this crop. Recent advances in genome complexity reduction methods coupled with sequencing-by-synthesis technologies permit the implementation of efficient genome-wide SNP discovery in maize. In this study, we have applied Complexity Reduction of Polymorphic Sequences technology (Keygene N.V., Wageningen, The Netherlands) for the identification of informative SNPs between two genetically distinct maize inbred lines of North and South American origins. This approach resulted in the discovery of 1,123 putative SNPs representing low and single copy loci. In silico and experimental (Illumina GoldenGate (GG) assay) validation of putative SNPs resulted in mapping of 604 markers, out of which 188 SNPs represented 43 haplotype blocks distributed across all ten chromosomes. We have determined and clearly stated a specific combination of stringent criteria (>0.3 minor allele frequency, >0.8 GenTrainScore and >0.5 Chi_test100 score) necessary for the identification of highly polymorphic and genetically stable SNP markers. Due to these criteria, we identified a subset of 120 high-quality SNP markers to leverage in GG assay-based marker-assisted selection projects. A total of 32 high-quality SNPs represented 21 haplotypes out of 43 identified in this study. The information on the selection criteria of highly polymorphic SNPs in a complex genome such as maize and the public availability of these SNP assays will be of great value for the maize molecular genetics and breeding community.

Isolating promoters of multigene family members from the polyploid sugarcane genome by PCR-based walking in BAC DNA.

The availability of a wider range of promoters for regulated expression in valuable transgenic crops would benefit functional genomics studies and current biotechnology programs aimed at improved productivity. Polymerase chain reaction (PCR)-based genome walking techniques are commonly used to isolate promoters or 5' flanking genomic regions adjacent to known cDNA sequences in genomes that are not yet completely sequenced. However, these techniques are problematic when applied directly to DNA isolated from crops with highly complex and large genomes. An adaptor ligation-mediated PCR-based BAC genome walking method is described here for the efficient isolation of promoters of multigene family members, such as the putative defense and fiber biosynthesis DIRIGENT genes that are abundant in the stem of sugarcane, a species with a highly polyploid genome. The advantage of this method is the efficient and specific amplification of the target promoter using BAC genomic DNA as template for the adaptor ligation-mediated PCR walking.

Mapping Quantitative Trait Loci for Soybean Seedling Shoot and Root Architecture Traits in an Inter-Specific Genetic Population.

Wild soybean species (Glycine soja Siebold & Zucc.) comprise a unique resource to widen the genetic base of cultivated soybean [Glycine max (L.) Merr.] for various agronomic traits. An inter-specific mapping population derived from a cross of cultivar Williams 82 and PI 483460B, a wild soybean accession, was utilized for genetic characterization of root architecture traits. The objectives of this study were to identify and characterize quantitative trait loci (QTL) for seedling shoot and root architecture traits, as well as to determine additive/epistatic interaction effects of identified QTLs. A total of 16,469 single nucleotide polymorphisms (SNPs) developed for the Illumina beadchip genotyping platform were used to construct a high resolution genetic linkage map. Among the 11 putative QTLs identified, two significant QTLs on chromosome 7 were determined to be associated with total root length (RL) and root surface area (RSA) with favorable alleles from the wild soybean parent. These seedling root traits, RL (BARC_020495_04641 ~ BARC_023101_03769) and RSA (SNP02285 ~ SNP18129_Magellan), could be potential targets for introgression into cultivated soybean background to improve both tap and lateral roots. The RL QTL region harbors four candidate genes with higher expression in root tissues: Phosphofructokinase (Glyma.07g126400), Snf7 protein (Glyma.07g127300), unknown functional gene (Glyma.07g127900), and Leucine Rich-Repeat protein (Glyma.07g127100). The novel alleles inherited from the wild soybean accession could be used as molecular markers to improve root system architecture and productivity in elite soybean lines.

Wild Relatives of Maize, Rice, Cotton, and Soybean: Treasure Troves for Tolerance to Biotic and Abiotic Stresses.

Global food demand is expected to nearly double by 2050 due to an increase in the world's population. The Green Revolution has played a key role in the past century by increasing agricultural productivity worldwide, however, limited availability and continued depletion of natural resources such as arable land and water will continue to pose a serious challenge for global food security in the coming decades. High yielding varieties with proven tolerance to biotic and abiotic stresses, superior nutritional profiles, and the ability to adapt to the changing environment are needed for continued agricultural sustainability. The narrow genetic base of modern cultivars is becoming a major bottleneck for crop improvement efforts and, therefore, the use of crop wild relatives (CWRs) is a promising approach to enhance genetic diversity of cultivated crops. This article provides a review of the efforts to date on the exploration of CWRs as a source of tolerance to multiple biotic and abiotic stresses in four global crops of importance; maize, rice, cotton, and soybean. In addition to the overview of the repertoire and geographical spread of CWRs in each of the respective crops, we have provided a comprehensive discussion on the morphological and/or genetic basis of the traits along with some examples, when available, of the research in the transfer of traits from CWRs to cultivated varieties. The emergence of modern molecular and genomic technologies has not only accelerated the pace of dissecting the genetics underlying the traits found in CWRs, but also enabled rapid and efficient trait transfer and genome manipulation. The potential and promise of these technologies has also been highlighted in this review.

Molecular Characterization of Transgenic Events Using Next Generation Sequencing Approach.

Demand for the commercial use of genetically modified (GM) crops has been increasing in light of the projected growth of world population to nine billion by 2050. A prerequisite of paramount importance for regulatory submissions is the rigorous safety assessment of GM crops. One of the components of safety assessment is molecular characterization at DNA level which helps to determine the copy number, integrity and stability of a transgene; characterize the integration site within a host genome; and confirm the absence of vector DNA. Historically, molecular characterization has been carried out using Southern blot analysis coupled with Sanger sequencing. While this is a robust approach to characterize the transgenic crops, it is both time- and resource-consuming. The emergence of next-generation sequencing (NGS) technologies has provided highly sensitive and cost- and labor-effective alternative for molecular characterization compared to traditional Southern blot analysis. Herein, we have demonstrated the successful application of both whole genome sequencing and target capture sequencing approaches for the characterization of single and stacked transgenic events and compared the results and inferences with traditional method with respect to key criteria required for regulatory submissions.

RNA Interference for Functional Genomics and Improvement of Cotton (Gossypium sp.).

RNA interference (RNAi), is a powerful new technology in the discovery of genetic sequence functions, and has become a valuable tool for functional genomics of cotton (Gossypium sp.). The rapid adoption of RNAi has replaced previous antisense technology. RNAi has aided in the discovery of function and biological roles of many key cotton genes involved in fiber development, fertility and somatic embryogenesis, resistance to important biotic and abiotic stresses, and oil and seed quality improvements as well as the key agronomic traits including yield and maturity. Here, we have comparatively reviewed seminal research efforts in previously used antisense approaches and currently applied breakthrough RNAi studies in cotton, analyzing developed RNAi methodologies, achievements, limitations, and future needs in functional characterizations of cotton genes. We also highlighted needed efforts in the development of RNAi-based cotton cultivars, and their safety and risk assessment, small and large-scale field trials, and commercialization.

A high-density simple sequence repeat and single nucleotide polymorphism genetic map of the tetraploid cotton genome.

Genetic linkage maps play fundamental roles in understanding genome structure, explaining genome formation events during evolution, and discovering the genetic bases of important traits. A high-density cotton (Gossypium spp.) genetic map was developed using representative sets of simple sequence repeat (SSR) and the first public set of single nucleotide polymorphism (SNP) markers to genotype 186 recombinant inbred lines (RILs) derived from an interspecific cross between Gossypium hirsutum L. (TM-1) and G. barbadense L. (3-79). The genetic map comprised 2072 loci (1825 SSRs and 247 SNPs) and covered 3380 centiMorgan (cM) of the cotton genome (AD) with an average marker interval of 1.63 cM. The allotetraploid cotton genome produced equivalent recombination frequencies in its two subgenomes (At and Dt). Of the 2072 loci, 1138 (54.9%) were mapped to 13 At-subgenome chromosomes, covering 1726.8 cM (51.1%), and 934 (45.1%) mapped to 13 Dt-subgenome chromosomes, covering 1653.1 cM (48.9%). The genetically smallest homeologous chromosome pair was Chr. 04 (A04) and 22 (D04), and the largest was Chr. 05 (A05) and 19 (D05). Duplicate loci between and within homeologous chromosomes were identified that facilitate investigations of chromosome translocations. The map augments evidence of reciprocal rearrangement between ancestral forms of Chr. 02 and 03 versus segmental homeologs 14 and 17 as centromeric regions show homeologous between Chr. 02 (A02) and 17 (D02), as well as between Chr. 03 (A03) and 14 (D03). This research represents an important foundation for studies on polyploid cottons, including germplasm characterization, gene discovery, and genome sequence assembly.

Reproducible RNA preparation from sugarcane and citrus for functional genomic applications.

High-throughput functional genomic procedures depend on the quality of the RNA used. Copurifying molecules can negatively impact the functionality of some plant RNA preparations employed in these procedures. We present a simplified, rapid, and scalable SDS/phenol-based method that provides the high-quantity and -quality RNA required by the newly emerging biotechnology applications. The method is applied to isolating RNA from tissues of two biotechnologically important crop plants, sugarcane and citrus, which provide a challenge due to the presence of fiber, polysaccharides, or secondary metabolites. The RNA isolated by this method is suitable for several downstream applications including northern blot hybridization, microarray analysis, and quantitative RT-PCR. This method has been used in a diverse range of projects ranging from screening plant lines overexpressing mammalian genes to analyzing plant responses to viral infection and defense signaling molecules.

Mining and survey of simple sequence repeats in expressed sequence tags of dicotyledonous species.

Simple sequence repeat (SSR) markers are widely used in many plant and animal genomes due to their abundance, hypervariability, and suitability for high-throughput analysis. Development of SSR markers using molecular methods is time consuming, laborious, and expensive. Use of computational approaches to mine ever-increasing sequences such as expressed sequence tags (ESTs) in public databases permits rapid and economical discovery of SSRs. Most of such efforts to date focused on mining SSRs from monocotyledonous ESTs. In this study, we have computationally mined and examined the abundance of SSRs in more than 1.54 million ESTs belonging to 55 dicotyledonous species. The frequency of ESTs containing SSRs among species ranged from 2.65% to 16.82%. Dinucleotide repeats were found to be the most abundant followed by tri- or mono-nucleotide repeats. The motifs A/T, AG/GA/CT/TC, and AAG/AGA/GAA/CTT/TTC/TCT were the predominant mono-, di-, and tri-nucleotide SSRs, respectively. Most of the mononucleotide SSRs contained 15-25 repeats, whereas the majority of the di- and tri-nucleotide SSRs contained 5-10 repeats. The comprehensive SSR survey data presented here demonstrates the potential of in silico mining of ESTs for rapid development of SSR markers for genetic analysis and applications in dicotyledonous crops.

Organization, not duplication, triggers silencing in a complex transgene locus in rice.

Despite the presence in nature of many functional gene families that contain several to many highly similar sequences, the presence of identical DNA sequence repeats is widely thought to predispose transgene inserts to homology dependent gene silencing (HDGS). The induction of transcriptional gene silencing (TGS) by RNAs homologous to promoter sequences has been reported recently in Arabidopsis and humans. However, mechanisms for TGS have not been studied in detail for rice, the most widely cultivated crop plant. Taking advantage of a well-characterized homozygous silenced transgenic rice line (siJKA), supertransformation was performed with a binary vector bearing mUbi1 and 35S promoter sequences identical to those in the resident transgenes. Analysis of the incoming and resident transgenes in the supertransformants revealed that the incoming mUbi1 transgene promoter was not silenced whereas the incoming 35S transgene promoter was silenced. That the resident silenced mUbi1-bar was not reactivated in these experiments as a result of passage through tissue culture and regeneration was established by the finding that regenerants from siJKA immature embryos were all silenced for mUbi1-bar. In a parallel experiment, when wild type rice calli were transformed with the same binary vector, neither of the incoming transgene promoters was silenced. Following 5-azacytidine (5-azaC) treatment of siJKA, aberrant RNA species corresponding to the 35S promoter, but not to the mUbi1 promoter, were detected. Nevertheless, no 21-25 nt RNAs corresponding to the 35S promoter sequence were detected. These results, together with detailed analyses of the progenies from the primary transformants and supertransformants, revealed that HDGS of the resident silenced locus was caused not by simple transgene duplication, but by aberrant transcripts derived from rearranged promoters present in siJKA. Practical consequences of this study include a justification for the use of multiple copies of a given promoter for transformation without inducing silencing, provided that their genomic integration does not result in aberrant transcription of the promoters.