MutL homolog 1 participates in interference-sensitive meiotic crossover formation in soybean.

MutL homolog 1 (MLH1), a member of the MutL homolog family, is required for normal recombination in most organisms. However, its role in soybean (Glycine max) remains unclear to date. Here, we characterized the Glycine max female and male sterility 1 (Gmfms1) mutation that reduces pollen grain viability and increases embryo sac abortion in soybean. Map-based cloning revealed that the causal gene of Gmfms1 is Glycine max MutL homolog 1 (GmMLH1), and CRISPR/Cas9 knockout approach further validated that disruption of GmMLH1 confers the female-male sterility phenotype in soybean. Loss of GmMLH1 function disrupted bivalent formation, leading to univalent mis-segregation during meiosis and ultimately to female-male sterility. The Gmmlh1 mutant showed about a 78.16% decrease in meiotic crossover frequency compared to the wild type. The residual chiasmata followed a Poisson distribution, suggesting that interference-sensitive crossover formation was affected in the Gmmlh1 mutant. Furthermore, GmMLH1 could interact with GmMLH3A and GmMLH3B both in vivo and in vitro. Overall, our work demonstrates that GmMLH1 participates in interference-sensitive crossover formation in soybean, and provides additional information about the conserved functions of MLH1 across plant species.

Mechanism of Enzyme Repair by the AAA+ Chaperone Rubisco Activase.

How AAA+ chaperones conformationally remodel specific target proteins in an ATP-dependent manner is not well understood. Here, we investigated the mechanism of the AAA+ protein Rubisco activase (Rca) in metabolic repair of the photosynthetic enzyme Rubisco, a complex of eight large (RbcL) and eight small (RbcS) subunits containing eight catalytic sites. Rubisco is prone to inhibition by tight-binding sugar phosphates, whose removal is catalyzed by Rca. We engineered a stable Rca hexamer ring and analyzed its functional interaction with Rubisco. Hydrogen/deuterium exchange and chemical crosslinking showed that Rca structurally destabilizes elements of the Rubisco active site with remarkable selectivity. Cryo-electron microscopy revealed that Rca docks onto Rubisco over one active site at a time, positioning the C-terminal strand of RbcL, which stabilizes the catalytic center, for access to the Rca hexamer pore. The pulling force of Rca is fine-tuned to avoid global destabilization and allow for precise enzyme repair.

Redox Regulation by Priming Agents Toward a Sustainable Agriculture.

Plants are sessile organisms that are often subjected to a multitude of environmental stresses, with the occurrence of these events being further intensified by global climate change. Crop species therefore require specific adaptations to tolerate climatic variability for sustainable food production. Plant stress results in excess accumulation of reactive oxygen species leading to oxidative stress and loss of cellular redox balance in the plant cells. Moreover, enhancement of cellular oxidation as well as oxidative signals has been recently recognized as crucial players in plant growth regulation under stress conditions. Multiple roles of redox regulation in crop production have been well documented, and major emphasis has focused on key redox-regulated proteins and non-protein molecules, such as NAD(P)H, glutathione, peroxiredoxins, glutaredoxins, ascorbate, thioredoxins and reduced ferredoxin. These have been widely implicated in the regulation of (epi)genetic factors modulating growth and health of crop plants, with an agricultural context. In this regard, priming with the employment of chemical and biological agents has emerged as a fascinating approach to improve plant tolerance against various abiotic and biotic stressors. Priming in plants is a physiological process, where prior exposure to specific stressors induces a state of heightened alertness, enabling a more rapid and effective defense response upon subsequent encounters with similar challenges. Priming is reported to play a crucial role in the modulation of cellular redox homeostasis, maximizing crop productivity under stress conditions and thus achieving yield security. By taking this into consideration, the present review is an up-to-date critical evaluation of promising plant priming technologies and their role in the regulation of redox components toward enhanced plant adaptations to extreme unfavorable environmental conditions. The challenges and opportunities of plant priming are discussed, with an aim of encouraging future research in this field toward effective application of priming in stress management in crops including horticultural species.

Identification of superior and rare haplotypes to optimize branch number in soybean.

KEY MESSAGE: Using the integrated approach in the present study, we identified eleven significant SNPs, seven stable QTLs and 20 candidate genes associated with branch number in soybean. Branch number is a key yield-related quantitative trait that directly affects the number of pods and seeds per soybean plant. In this study, an integrated approach with a genome-wide association study (GWAS) and haplotype and candidate gene analyses was used to determine the detailed genetic basis of branch number across a diverse set of soybean accessions. The GWAS revealed a total of eleven SNPs significantly associated with branch number across three environments using the five GWAS models. Based on the consistency of the SNP detection in multiple GWAS models and environments, seven genomic regions within the physical distance of ± 202.4 kb were delineated as stable QTLs. Of these QTLs, six QTLs were novel, viz., qBN7, qBN13, qBN16, qBN18, qBN19 and qBN20, whereas the remaining one, viz., qBN12, has been previously reported. Moreover, 11 haplotype blocks, viz., Hap4, Hap7, Hap12, Hap13A, Hap13B, Hap16, Hap17, Hap18, Hap19A, Hap19B and Hap20, were identified on nine different chromosomes. Haplotype allele number across the identified haplotype blocks varies from two to five, and different branch number phenotype is regulated by these alleles ranging from the lowest to highest through intermediate branching. Furthermore, 20 genes were identified underlying the genomic region of ± 202.4 kb of the identified SNPs as putative candidates; and six of them showed significant differential expression patterns among the soybean cultivars possessing contrasting branch number, which might be the potential candidates regulating branch number in soybean. The findings of this study can assist the soybean breeding programs for developing cultivars with desirable branch numbers.

Understanding the Molecular Regulatory Networks of Seed Size in Soybean.

Soybean being a major cash crop provides half of the vegetable oil and a quarter of the plant proteins to the global population. Seed size traits are the most important agronomic traits determining the soybean yield. These are complex traits governed by polygenes with low heritability as well as are highly influenced by the environment as well as by genotype x environment interactions. Although, extensive efforts have been made to unravel the genetic basis and molecular mechanism of seed size in soybean. But most of these efforts were majorly limited to QTL identification, and only a few genes for seed size were isolated and their molecular mechanism was elucidated. Hence, elucidating the detailed molecular regulatory networks controlling seed size in soybeans has been an important area of research in soybeans from the past decades. This paper describes the current progress of genetic architecture, molecular mechanisms, and regulatory networks for seed sizes of soybeans. Additionally, the main problems and bottlenecks/challenges soybean researchers currently face in seed size research are also discussed. This review summarizes the comprehensive and systematic information to the soybean researchers regarding the molecular understanding of seed size in soybeans and will help future research work on seed size in soybeans.

Molecular and genetic insights into secondary metabolic regulation underlying insect-pest resistance in legumes.

Insect pests pose a major threat to agricultural production, resulting in significant economic losses for countries. A high infestation of insects in any given area can severely reduce crop yield and quality. This review examines the existing resources for managing insect pests and highlights alternative eco-friendly techniques to enhance insect pest resistance in legumes. Recently, the application of plant secondary metabolites has gained popularity in controlling insect attacks. Plant secondary metabolites encompass a wide range of compounds such as alkaloids, flavonoids, and terpenoids, which are often synthesized through intricate biosynthetic pathways. Classical methods of metabolic engineering involve manipulating key enzymes and regulatory genes to enhance or redirect the production of secondary metabolites in plants. Additionally, the role of genetic approaches, such as quantitative trait loci mapping, genome-wide association (GWAS) mapping, and metabolome-based GWAS in insect pest management is discussed, also, the role of precision breeding, such as genome editing technologies and RNA interference for identifying pest resistance and manipulating the genome to develop insect-resistant cultivars are explored, highlighting the positive contribution of plant secondary metabolites engineering-based resistance against insect pests. It is suggested that by understanding the genes responsible for beneficial metabolite compositions, future research might hold immense potential to shed more light on the molecular regulation of secondary metabolite biosynthesis, leading to advancements in insect-resistant traits in crop plants. In the future, the utilization of metabolic engineering and biotechnological methods may serve as an alternative means of producing biologically active, economically valuable, and medically significant compounds found in plant secondary metabolites, thereby addressing the challenge of limited availability.

Disruption of CHORISMATE SYNTHASE1 leads to yellow-green variegation in soybean leaves.

Yellow-green variegation leaf phenotype adds more value to ornamental plants, but it is regarded as an undesirable trait in crop plants, affecting their yields. Until recently, the underlying mechanism regulating the yellow-green variegation phenotype has remained largely unexplored in soybean. In the present study, we indentified four Glycine max leaf yellow/green variegation mutants, Gmvar1, Gmvar2, Gmvar3, and Gmvar4, from artificial mutagenesis populations. Map-based cloning, together with the allelic identification test and CRISPR-based gene knockout, proved that mutated GmCS1 controls yellow-green variegation phenotype of the Gmvar mutants. GmCS1 encodes a chorismate synthase in soybean. The content of Phe, Tyr, and Trp were dramatically decreased in Gmcs1 mutants. Exogenous supply of three aromatic amino acid mixtures, or only Phe to Gmvar mutants, leads to recovery of the mutant phenotype. The various biological processes and signalling pathways related to metabolism and biosynthesis were altered in Gmvar mutants. Collectively, our findings provide new insights about the molecular regulatory network of yellow-green variegation leaf phenotype in soybean.

Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics-assisted breeding.

Given the challenges of population growth and climate change, there is an urgent need to expedite the development of high-yielding stress-tolerant crop cultivars. While traditional breeding methods have been instrumental in ensuring global food security, their efficiency, precision, and labour intensiveness have become increasingly inadequate to address present and future challenges. Fortunately, recent advances in high-throughput phenomics and genomics-assisted breeding (GAB) provide a promising platform for enhancing crop cultivars with greater efficiency. However, several obstacles must be overcome to optimize the use of these techniques in crop improvement, such as the complexity of phenotypic analysis of big image data. In addition, the prevalent use of linear models in genome-wide association studies (GWAS) and genomic selection (GS) fails to capture the nonlinear interactions of complex traits, limiting their applicability for GAB and impeding crop improvement. Recent advances in artificial intelligence (AI) techniques have opened doors to nonlinear modelling approaches in crop breeding, enabling the capture of nonlinear and epistatic interactions in GWAS and GS and thus making this variation available for GAB. While statistical and software challenges persist in AI-based models, they are expected to be resolved soon. Furthermore, recent advances in speed breeding have significantly reduced the time (3-5-fold) required for conventional breeding. Thus, integrating speed breeding with AI and GAB could improve crop cultivar development within a considerably shorter timeframe while ensuring greater accuracy and efficiency. In conclusion, this integrated approach could revolutionize crop breeding paradigms and safeguard food production in the face of population growth and climate change.

Genome-wide survey identified superior and rare haplotypes for plant height in the north-eastern soybean germplasm of China.

The proper and efficient utilization of natural genetic diversity can significantly impact crop improvements. Plant height is a quantitative trait governing the plant type as well as the yield and quality of soybean. Here, we used a combined approach including a genome-wide association study (GWAS) and haplotype and candidate gene analyses to explore the genetic basis of plant height in diverse natural soybean populations. For the GWAS analysis, we used the whole-genome resequencing data of 196 diverse soybean cultivars collected from different accumulated temperature zones of north-eastern China to detect the significant single-nucleotide polymorphisms (SNPs) associated with plant height across three environments (E1, E2, and E3). A total of 33 SNPs distributed on four chromosomes, viz., Chr.02, Chr.04, Chr.06, and Chr.19, were identified to be significantly associated with plant height across the three environments. Among them, 23 were consistently detected in two or more environments and the remaining 10 were identified in only one environment. Interestingly, all the significant SNPs detected on the respective chromosomes fell within the physical interval of linkage disequilibrium (LD) decay (± 38.9 kb). Hence, these genomic regions were considered to be four quantitative trait loci (QTLs), viz., qPH2, qPH4, qPH6, and qPH19, regulating plant height. Moreover, the genomic region flanking all significant SNPs on four chromosomes exhibited strong LD. These significant SNPs thus formed four haplotype blocks, viz., Hap-2, Hap-4, Hap-6, and Hap-19. The number of haplotype alleles underlying each block varied from four to six, and these alleles regulate the different phenotypes of plant height ranging from dwarf to extra-tall heights. Nine candidate genes were identified within the four haplotype blocks, and these genes were considered putative candidates regulating soybean plant height. Hence, these stable QTLs, superior haplotypes, and candidate genes (after proper validation) can be deployed for the development of soybean cultivars with desirable plant heights. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01363-7.

Genome-wide characterization and functional analysis of class III peroxidase gene family in soybean reveal regulatory roles of GsPOD40 in drought tolerance.

Class III peroxidases (PODs) are plant-specific glycoproteins, that play essential roles in various plant physiological processes and defence responses. To date, scarce information is available about the POD gene family in soybean. Hence, the present study is the first comprehensive report about the genome-wide characterization of GmPOD gene family in soybean (Glycine max L.). Here, we identified a total of 124 GmPOD genes in soybean, that are unevenly distributed across the genome. Phylogenetic analysis classified them into six distinct sub-groups (A-F), with one soybean specific subgroup. Exon-intron and motif analysis suggested the existence of structural and functional diversity among the sub-groups. Duplication analysis identified 58 paralogous gene pairs; segmental duplication and positive/Darwinian selection were observed as the major factors involved in the evolution of GmPODs. Furthermore, RNA-seq analysis revealed that 23 out of a total 124 GmPODs showed differential expression between drought-tolerant and drought-sensitive genotypes under stress conditions; however, two of them (GmPOD40 and GmPOD42) revealed the maximum deregulation in all contrasting genotypes. Overexpression (OE) lines of GsPOD40 showed considerably higher drought tolerance compared to wild type (WT) plants under stress treatment. Moreover, the OE lines showed enhanced photosynthesis and enzymatic antioxidant activities under drought stress, resulting in alleviation of ROS induced oxidative damage. Hence, the GsPOD40 enhanced drought tolerance in soybean by regulating the key physiological and biochemical pathways involved in the defence response. Lastly, the results of our study will greatly assist in further functional characterization of GsPODs in plant growth and stress tolerance in soybean.

Outcome of Impella 2.5 use in patients undergoing Percutaneous Coronary Intervention in Henan, China: a case series.

BACKGROUND: Acute myocardial infarction (AMI) complicated by cardiogenic shock (AMI-CS) or heart failure is associated with an unacceptably high in-hospital mortality of 33%-55% and a lost chance to accept PCI (Percutaneous Coronary Intervention). AIM: The aim of the study was to find out whether percutaneous hemodynamic support device Impella 2.5 improves prognosis of high-risk PCI patients or not. METHODS: This study was a case series involving six patients who underwent a Left Ventricular Assist Device (LVAD, Impella 2.5, Abiomed, Danvers, MA) implantation after suffering from AMI with a very low ejection fraction and acute heart failure. The clinical experience and outcomes of the patients are hereby discussed. RESULTS: All PCI procedures were safely completed under LVAD support. The hemodynamic parameters of all patients improved clinically over the next 30 days and following 12 months after Impella insertion except in two patients, of which one patient (Case number 6) died 4 days post-Impella protected PCI procedure due to acute left ventricle heart failure with cardiogenic shock and pulmonary oedema; and another one died at 12 months after Impella protected PCI procedure (Case number 4) due to decompensated heart failure and infected pneumonia. CONCLUSION: Percutaneous hemodynamic support is favorable and feasible during high risk Percutaneous Coronary Intervention (PCI). A bigger study is needed to substantiate the claims of the current study.

GmUFO1 Regulates Floral Organ Number and Shape in Soybean.

The UNUSUAL FLORAL ORGANS (UFO) gene is an essential regulatory factor of class B genes and plays a vital role in the process of inflorescence primordial and flower primordial development. The role of UFO genes in soybean was investigated to better understand the development of floral organs through gene cloning, expression analysis, and gene knockout. There are two copies of UFO genes in soybean and in situ hybridization, which have demonstrated similar expression patterns of the GmUFO1 and GmUFO2 genes in the flower primordium. The phenotypic observation of GmUFO1 knockout mutant lines (Gmufo1) showed an obvious alteration in the floral organ number and shape and mosaic organ formation. By contrast, GmUFO2 knockout mutant lines (Gmufo2) showed no obvious difference in the floral organs. However, the GmUFO1 and GmUFO2 double knockout lines (Gmufo1ufo2) showed more mosaic organs than the Gmufo1 lines, in addition to the alteration in the organ number and shape. Gene expression analysis also showed differences in the expression of major ABC function genes in the knockout lines. Based on the phenotypic and expression analysis, our results suggest the major role of GmUFO1 in the regulation of flower organ formation in soybeans and that GmUFO2 does not have any direct effect but might have an interaction role with GmUFO1 in the regulation of flower development. In conclusion, the present study identified UFO genes in soybean and improved our understanding of floral development, which could be useful for flower designs in hybrid soybean breeding.

The influence of endophytes on rice fitness under environmental stresses.

KEY MESSAGE: Endophytes are crucial for the promotion of rice growth and stress tolerance and can be used to increase rice crop yield. Endophytes can thus be exploited in biotechnology and genetic engineering as eco-friendly and cost-effective means for the development of high-yielding and stress-tolerant rice plants. Rice (Oryza sativa) crop is continuously subjected to biotic and abiotic stresses, compromising growth and consequently yield. The situation is exacerbated by climate change impacting on ecosystems and biodiversity. Genetic engineering has been used to develop stress-tolerant rice, alongside physical and chemical methods to mitigate the effect of these stresses. However, the success of these strategies has been hindered by short-lived field success and public concern on adverse effects associated. The limited success in the field of stress-tolerant cultivars developed through breeding or transgenic approaches is due to the complex nature of stress tolerance as well as to the resistance breakdown caused by accelerated evolution of pathogens. It is therefore necessary to develop novel and acceptable strategies to enhance rice stress tolerance and durable resistance and consequently improve yield. In the last decade, plant growth promoting (PGP) microbes, especially endophytes, have drawn the attention of agricultural scientists worldwide, due to their ability to mitigate environmental stresses in crops, without causing adverse effects. Increasing evidence indicates that endophytes effectively confer fitness benefits also to rice under biotic and abiotic stress conditions. Endophyte-produced metabolites can control the expression of stress-responsive genes and improve the physiological performance and growth of rice plants. This review highlights the current evidence available for PGP microbe-promoted tolerance of rice to abiotic stresses such as salinity and drought and to biotic ones, with special emphasis on endophytes. Associated molecular mechanisms are illustrated, and prospects for sustainable rice production also in the light of the impending climate change, discussed.

Outstanding Questions on the Beneficial Role of Silicon in Crop Plants.

Silicon (Si) is widely accepted as a beneficial element for plants. Despite the substantial progress made in understanding Si transport mechanisms and modes of action in plants, several questions remain unanswered. In this review, we discuss such outstanding questions and issues commonly encountered by biologists studying the role of Si in plants in relation to Si bioavailability. In recent years, advances in our understanding of the role of Si-solubilizing bacteria and the efficacy of Si nanoparticles have been made. However, there are many unknown aspects associated with structural and functional features of Si transporters, Si loading into the xylem, and the role of specialized cells like silica cells and compounds preventing Si polymerization in plant tissues. In addition, despite several 1,000 reports showing the positive effects of Si in high as well as low Si-accumulating plant species, the exact roles of Si at the molecular level are yet to be understood. Some evidence suggests that Si regulates hormonal pathways and nutrient uptake, thereby explaining various observed benefits of Si uptake. However, how Si modulates hormonal pathways or improves nutrient uptake remains to be explained. Finally, we summarize the knowledge gaps that will provide a roadmap for further research on plant silicon biology, leading to an exploration of the benefits of Si uptake to enhance crop production.

Ectopic expression of GmRNF1a encoding a soybean E3 ubiquitin ligase affects Arabidopsis silique development and dehiscence.

MAIN CONCLUSION: A soybean E3 ubiquitin ligase, GmRNF1a, may affect pod dehiscence and seed development through MADS family genes. These results would be useful for the study of soybean pod and seed development. Pod dehiscence is one of the critical causes of yield loss in cultivated soybeans, and it is of great significance to understand the molecular mechanisms underlying pod dehiscence in soybeans. In this study, we identified a new RING family member of the E3 ubiquitin ligase, GmRNF1a, which was observed to interact with the MADS-box protein GmAGL1 to regulate siliques dehiscence. Tissue-specific gene expression analysis revealed that GmRNF1a was mainly expressed in flowers and pods in soybean. The subcellular localization assay showed the nuclear and cytoplasmic localization of GmRNF1a. In addition, it was found that GmRNF1a exhibits higher promoter activity in soybean hairy roots as well as in Arabidopsis leaves, flowers, and siliques. Heterologous expression of GmRNF1a in Arabidopsis showed that the transgenic Arabidopsis siliques had a faster maturation rate and cracked earlier than the wild-type plants. The functional and nucleotide diversity analysis suggests that GmRNF1a might play an important role in pod maturation and dehiscence and has been strongly selected for during soybean domestication.

Identification of superior haplotypes in a diverse natural population for breeding desirable plant height in soybean.

KEY MESSAGE: Plant height of soybean is associated with a haplotype block on chromosome 19, which classified 211 soybean accessions into five distinct groups showing significant differences for the target trait. Genetic variation is pivotal for crop improvement. Natural populations are precious genetic resources. However, efficient strategies for the targeted utilization of these resources for quantitative traits, such as plant height (PH), are scarce. Being an important agronomic trait associated with soybean yield and quality, it is imperative to unravel the genetic mechanisms underlying PH in soybean. Here, a genome-wide association study (GWAS) was performed to identify single nucleotide polymorphisms (SNPs) significantly associated with PH in a natural population of 211 cultivated soybeans, which was genotyped with NJAU 355 K Soy SNP Array and evaluated across six environments. A total of 128 SNPs distributed across 17 chromosomes were found to be significantly associated with PH across six environments and a combined environment. Three significant SNPs were consistently identified in at least three environments on Chr.02 (AX-93958260), Chr.17 (AX-94154834), and Chr.19 (AX-93897200). Genomic regions of ~ 130 kb flanking these three consistent SNPs were considered as stable QTLs, which included 169 genes. Of these, 22 genes (including Dt1) were prioritized and defined as putative candidates controlling PH. The genomic region flanking 12 most significant SNPs was in strong linkage disequilibrium (LD). These SNPs formed a single haplotype block containing five haplotypes for PH, namely Hap-A, Hap-B, Hap-C, Hap-D, and Hap-E. Deployment of such superior haplotypes in breeding programs will enable development of improved soybean varieties with desirable plant height.

Prevalence of coronary calcium deposits in Sheehan's syndrome patients on long term replacement treatment.

PURPOSE: Sheehan's Syndrome (SS) is one of the most important causes of hypopituitarism in developing countries with patients having varying degrees and severity of anterior pituitary hormone deficiency including growth hormone deficiency (GHD). SS is characterized by increased clustering of metabolic and proinflammatory risk factors predisposing them to increased cardiovascular morbidity and mortality. Coronary calcium deposits (CCD), a marker for significant coronary atherosclerosis, is used for evaluation in asymptomatic individuals of global cardiac risk to develop events related to coronary heart disease (CHD). This study therefore aimed to evaluate the prevalence of coronary artery disease in patients with SS appropriately replaced for pituitary hormone deficiencies but untreated for GHD. METHODS: Thirty patients previously diagnosed with SS and stable on a conventional replacement treatment for at least 6 months before the study and thirty age and Body Mass Index (BMI) matched controls were enrolled in this observational study. The subjects underwent detailed clinical, biochemical, and hormone analysis. Coronary multidetector computed tomography was performed in 19 SS patients and 19 healthy participants by a 16-row multislice scanner. Non contrast acquisitions were performed to detect coronary calcifications. Calcium was quantified by the Agatston score (AS) in all subjects. AS > 10 indicates increased CHD risk. RESULTS: The mean (± SD) age was 38.30 ± 10.73 years and the diagnostic delay was 11.35 ± 4.74 years. Patients with SS had significantly higher mean triglyceride, total cholesterol, and low density lipoprotein (LDL) cholesterol and lower HDL cholesterol concentrations on conventional replacement therapy. The prevalence of CCD was significantly higher in patients of SS compared to controls (42.1% vs. 5.3%; P = 0.023). The presence of CCD and AS > 10 were detected in 42.1% and 31.6% of patients respectively. The presence of significant calcification (Agatston score > 10) was documented in 75% of patients (6/8) of the SS patients with CCD compared to none in the control group (P = 0.019). (Left anteriordescending, 1; left circumflex, 2; right coronary artery, 2 and posterior descending, 1) CONCLUSION: Since coronary artery calcium is an independent predictor of CHD events, the presence of significant prevalence of CCD in patients with SS compared to healthy matched controls, undermines the importance of early risk stratification of SS individuals with plethora of conventional cardiovascular risk factors that are at relatively high risk to avoid the adverse vascular consequences.

Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding.

Recently, Artificial intelligence (AI) has emerged as a revolutionary field, providing a great opportunity in shaping modern crop breeding, and is extensively used indoors for plant science. Advances in crop phenomics, enviromics, together with the other "omics" approaches are paving ways for elucidating the detailed complex biological mechanisms that motivate crop functions in response to environmental trepidations. These "omics" approaches have provided plant researchers with precise tools to evaluate the important agronomic traits for larger-sized germplasm at a reduced time interval in the early growth stages. However, the big data and the complex relationships within impede the understanding of the complex mechanisms behind genes driving the agronomic-trait formations. AI brings huge computational power and many new tools and strategies for future breeding. The present review will encompass how applications of AI technology, utilized for current breeding practice, assist to solve the problem in high-throughput phenotyping and gene functional analysis, and how advances in AI technologies bring new opportunities for future breeding, to make envirotyping data widely utilized in breeding. Furthermore, in the current breeding methods, linking genotype to phenotype remains a massive challenge and impedes the optimal application of high-throughput field phenotyping, genomics, and enviromics. In this review, we elaborate on how AI will be the preferred tool to increase the accuracy in high-throughput crop phenotyping, genotyping, and envirotyping data; moreover, we explore the developing approaches and challenges for multiomics big computing data integration. Therefore, the integration of AI with "omics" tools can allow rapid gene identification and eventually accelerate crop-improvement programs.

Assessing soil properties and chemical quality indices under trees outside forests (TOFs) in temperate Himalayan region.

Trees outside forests (TOFs) have assumed importance in view of its potential to mitigate CO2 under different carbon pools with soil as the prominent pool. The ability of any TOF practice to fix soil organic carbon (SOC) efficiently depends on its SOC build up and soil quality that varies across different strata within TOFs. Soil physico-chemical properties under six TOF practices (boundary plantation, roadside plantation, riverside plantation, horticulture, scattered patches with clumpy plantation (SPCP), and woodlot) in central region of Kashmir valley were investigated to assess SOC content and soil quality. Additive soil quality index (ASQI) approach was used to assess soil quality using "lower or higher is better" criteria. Correlation analysis between soil variables was carried out to assess the relationships. The results showed that TOF soils in the region were sandy clay loam in texture with slightly acidic to alkaline pH and electrical conductivity within normal limits. Lowest bulk density (0.94 g cm-3) was found in SPCP and highest (1.38 g cm-3) in roadside plantation. Highest SOC %, available nitrogen (N), and available phosphorus (P) values were observed in SPCP and lowest in boundary plantation. Average available potassium (K) was observed highest in SPCP (333.04 kg ha-1) and lowest in riverside plantation (244.58 kg ha-1). Soil pH showed significant but negative correlations with SOC and other nutrients (N and P). A significant but perfect positive correlation was observed between SOC and available N. SOC content was found highest in SPCP (60.16 t ha-1) and lowest in boundary plantation (34.56 t ha-1). The hypothesis that all soils under different TOF strata have similar quality and same SOC build up rate was observed otherwise with SPCP exhibiting highest CSQI. SPCP was observed to be more qualitative and dynamic growing system among all strata with an enhanced capacity to fix and conserve SOC to help mitigate climate change. Present study demands plantation of more trees outside the forest areas especially in the pattern of SPCP for enrichment of soil and enhancement of carbon sequestration.

Hydroperoxide lyase modulates defense response and confers lesion-mimic leaf phenotype in soybean (Glycine max (L.) Merr.).

Allene oxide synthase (AOS) and hydroperoxide lyase (HPL) are two important members of P450 enzymes metabolizing hydroperoxy fatty acid to produce jasmonates and aldehydes respectively, which function in response to diverse environmental and developmental stimuli. However, their exact roles in soybean have not been clarified. In present study, we identified a lesion-mimic mutant in soybean named NT302, which exhibits etiolated phenotype together with chlorotic and spontaneous lesions on leaves at R3 podding stage. The underlying gene was identified as GmHPL encoding hydroperoxide lyase by map-based cloning strategy. Sequence analysis demonstrated that a single nucleotide mutation created a premature termination codon (Gln20-Ter), which resulted in a truncated GmHPL protein in NT302. GmHPL RNA was significantly reduced in NT302 mutant, while genes in AOS branch of the 13-LOX pathway were up-regulated in NT302. The mutant exhibited higher susceptibility to bacterial leaf pustule (BLP) disease, but increased resistance against common cutworm (CCW) pest. GmHPL was significantly induced in response to MeJA, wounding, and CCW in wild type soybean. Virus induced gene silencing (VIGS) of GhHPL genes gave rise to similar lesion-mimic leaf phenotypes in upland cotton, coupled with upregulation of the expression of JA biosynthesis and JA-induced genes. Our study provides evidence that competition exist between HPL and AOS branches in 13-LOX pathway of the oxylipin metabolism in soybean, thereby plays essential roles in modulation of plant development and defense.