GmAOC4 modulates seed germination by regulating JA biosynthesis in soybean

Genetic Control of Tolerance to Drought Stress in Wild Soybean (Glycine soja) at the Vegetative and the Germination Stages

Drought stress, which is becoming more prevalent due to climate change, is a significant abiotic factor that adversely impacts crop production and yield stability. Cultivated soybean (Glycine max), a versatile crop for humans and animals, exhibits sensitivity to drought, resulting in reduced growth and development under drought conditions. However, few genetic studies have assessed wild soybean's (Glycine soja) response to drought stress. In this work, we conducted a genome-wide association study (GWAS) and analysis of wild soybean accessions to identify loci responsible for drought tolerance at the vegetative (n = 187) and the germination stages (n = 135) using the available resequencing data. The GWAS analysis of the leaf wilting score (LWS) identified eight single-nucleotide polymorphisms (SNPs) on chromosomes 10, 11, and 19. Of these, wild soybeans with both SNPs on chromosomes 10 (adenine) and 11 (thymine) produced lower LWS, indicating that these SNPs have an important role in the genetic effect on LWS for drought tolerance at the vegetative stage. At the germination stage, nine SNPs associated with five phenotypic measurements were identified on chromosomes 6, 9, 10, 13, 16, and 17, and the genomic regions identified at the germination stage were different from those identified for the LWS, supporting our previous finding that there may not be a robust correlation between the genes influencing phenotypes at the germination and vegetative stages. This research will benefit marker-assisted breeding programs aimed at enhancing drought tolerance in soybeans.

Genomics of turions from the Greater Duckweed reveal its pathways for dormancy and re-emergence strategy

Over 15 families of aquatic plants are known to use a strategy of developmental switching upon environmental stress to produce dormant propagules called turions. However, few molecular details for turion biology have been elucidated due to the difficulties in isolating high-quality nucleic acids from this tissue. We successfully developed a new protocol to isolate high-quality transcripts and carried out RNA-seq analysis of mature turions from the Greater Duckweed Spirodela polyrhiza. Comparison of turion transcriptomes to that of fronds, the actively growing leaf-like tissue, were carried out. Bioinformatic analysis of high confidence, differentially expressed transcripts between frond and mature turion tissues revealed major pathways related to stress tolerance, starch and lipid metabolism, and dormancy that are mobilized to reprogram frond meristems for turion differentiation. We identified the key genes that are likely to drive starch and lipid accumulation during turion formation, as well as those in pathways for starch and lipid utilization upon turion germination. Comparison of genome-wide cytosine methylation levels also revealed evidence for epigenetic changes in the formation of turion tissues. Similarities between turions and seeds provide evidence that key regulators for seed maturation and germination were retooled for their function in turion biology.

Bioinformatic method for determining single nucleotide polymorphisms on the example of gene <i>WIN</i> in <i>Glycine max</i>

In this paper, a hypothetical method for locating SNPs (single nucleotide polymorphisms) on the example of the ribonuclease gene WIN was proposed. Ribonuclease comprises an enzyme that participates in defence reactions against fungal infections in soybeans, as well as other protective responses to biotic stress. Its belonging to the RNA-ases group determines the specific properties, namely the ability to degrade foreign nucleic acids. This ability provides for a general nonspecific immune response of the plant to the invasion of antigenic structures. Modern biotechnology calls for the development of molecular methods and approaches that will increase the resistance of a culture or accelerate the processes of its adaptation in the field. This problem can be solved by using technologies of SNP artificial induction in those parts of the genome that encode proteins capable of acting in protective reactions against biotic stress. In the study, 5 single-nucleotide polymorphisms were proposed using bioinformatic analysis. Since the localisation and detection of SNPs comprise a challenging task due to the presence of a single nucleotide change, in the biotechnological practice, predictive analysis is carried out in order to localise the potential sequence of occurring single-nucleotide polymorphism. Following the identification of the hypothetical SNP location, they can be further detected using complex molecular methods, such as real-time PCR or local sequencing. This technology can become a powerful tool for breeding soybean varieties having predetermined properties. Such theoretical and predictive models will allow for a quicker response to the dynamic environment under manmade load on plants.

Natural immunity stimulation using ELICE16INDURES® plant conditioner in field culture of soybean

Recently, climate change has had an increasing impact on the world. Innate defense mechanisms operating in plants - such as PAMP-triggered Immunity (PTI) - help to reduce the adverse effects caused by various abiotic and biotic stressors. In this study, the effects of ELICE16INDURES® plant conditioner for organic farming, developed by the Research Institute for Medicinal Plants and Herbs Ltd. Budakalász Hungary, were studied in a soybean population in Northern Hungary. The active compounds and ingredients of this product were selected in such a way as to facilitate the triggering of general plant immunity without the presence and harmful effects of pathogens, thereby strengthening the healthy plant population and preparing it for possible stress effects. In practice, treatments of this agent were applied at two different time points and two concentrations. The conditioning effect was well demonstrated by using agro-drone and ENDVI determination in the soybean field. The genetic background of healthier plants was investigated by NGS sequencing, and by the expression levels of genes encoding enzymes involved in the catalysis of metabolic pathways regulating PTI. The genome-wide transcriptional profiling resulted in 13 contigs related to PAMP-triggered immunity and activated as a result of the treatments. Further analyses showed 16 additional PTI-related contigs whose gene expression changed positively as a result of the treatments. The gene expression values of genes encoded in these contigs were determined by in silico mRNA quantification and validated by RT-qPCR. Both - relatively low and high treatments - showed an increase in gene expression of key genes involving AOC, IFS, MAPK4, MEKK, and GST. Transcriptomic results indicated that the biosyntheses of jasmonic acid (JA), salicylic acid (SA), phenylpropanoid, flavonoid, phytoalexin, and cellular detoxification processes were triggered in the appropriate molecular steps and suggested that plant immune reactions may be activated also artificially, and innate immunity can be enhanced with proper plant biostimulants.

Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses

Soybean [Glycine max (L.) Merr.] is an excellent source of protein. Understanding the genetic basis of protein content (PC) will accelerate breeding efforts to increase soybean quality. In the present study, a genome-wide association study (GWAS) was applied to detect quantitative trait loci (QTL) for PC in soybean using 264 re-sequenced soybean accessions and a high-quality single nucleotide polymorphism (SNP) map. Eleven QTL were identified as associated with PC. The QTL qPC-14 was detected by GWAS in both environments and was shown to have undergone strong selection during soybean improvement. Fifteen candidate genes were identified in qPC-14, and three candidate genes showed differential expression between a high-PC and a low-PC variety during the seed development stage. The QTL identified here will be of significant use in molecular breeding efforts, and the candidate genes will play essential roles in exploring the mechanisms of protein biosynthesis.

Discovery of genetic loci and causal genes for seed germination via deep re-sequencing in soybean

High seed germination is crucial for mechanical sowing, seedling establishment, growth potential, multiple resistances, and the formation of yield and quality. However, few genetic loci and candidate genes conferring seed germination were explored in soybean at present. In view of this, a natural population containing 199 accessions was assessed for the germination potential (GP) and germination rate (GR) and also was re-sequenced at the average sequencing depth of 18.4 × for each accession. In total, 5,665,469 SNPs were obtained for association analysis, and 470 SNPs in 55 loci on 18 chromosomes were identified to associate with seed germination. Of them, 85 SNPs on chromosomes 1, 10, and 14 were associated with mean value and BLUP value for GP and GR, simultaneously. Moreover, 324 SNPs (68.9% of the total) in four loci were located on chromosome 14 for seed germination, of which 11 SNPs were located in the exons, 30 in introns, 17 in 5'UTR or 3'UTR, and 46 in upstream or downstream. Based on these, 131 candidate genes flanking the associated SNPs were analyzed for gene annotation, SNP mutation, and RNA expression, and three causal genes, Glyma.14G069800 (RNA-binding protein), Glyma.14G071400 (bZIP transcription factor), and Glyma.17G033200 (nucleic acid-binding protein), were screened out and might be responsible for the seed germination. The closely associated SNPs and causal genes provided an important resource and dissecting of genetic basis for seed germination improvement in soybean.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11032-022-01316-6.