Hyperchloremia and Hypernatremia Decreased Microglial and Neuronal Survival during Oxygen-Glucose Deprivation/Reperfusion.

Hyperchloremia and hypernatremia are associated with higher mortality in ischemic stroke, but it remains unclear whether their influence directly contributes to ischemic injury. We investigated the impact of 0.9% sodium chloride (154 mM NaCl), 0.9% sodium acetate (167 mM CH3COONa), and their different combinations (3:1, 2:1, and 1:1) on microglial (HMC-3) and neuronal (differentiated SH-SY5Y) survival during oxygen-glucose deprivation/reperfusion (OGD/R). Further, we assessed the effect of hyperchloremia and hypernatremia-treated and OGD/R-induced HMC-3-conditioned media on differentiated SH-SY5Y cells under OGD/R conditions. We performed cell viability, cell toxicity, and nitric oxide (NO) release assays and studied the alteration in expression of caspase-1 and caspase-3 in different cell lines when exposed to hyperchloremia and hypernatremia. Cell survival was decreased in 0.9% NaCl, 0.9% CH3COONa, combinations of HMC-3 and differentiated SH-SY5Y, and differentiated SH-SY5Y cells challenged with HMC-3-conditioned media under normal and OGD/R conditions. Under OGD/R conditions, differentiated SH-SY5Y cells were less likely to survive exposure to 0.9% NaCl. Expression of caspase-1 and caspase-3 in HMC-3 and differentiated SH-SY5Y cells was altered when exposed to 0.9% NaCl, 0.9% CH3COONa, and their combinations. A total of 0.9% NaCl and 0.9% CH3COONa and their combinations decreased the NO production in HMC-3 cells under normal and OGD/R conditions. Both hypernatremia and hyperchloremia reduced the survival of HMC-3 and differentiated SH-SY5Y cells under OGD/R conditions. Based on the OGD/R in vitro model that mimics human ischemic stroke conditions, it possibly provides a link for the increased death associated with hyperchloremia or hypernatremia in stroke patients.

The Multifaceted Role of Cofilin in Neurodegeneration and Stroke: Insights into Pathogenesis and Targeting as a Therapy.

This comprehensive review explores the complex role of cofilin, an actin-binding protein, across various neurodegenerative diseases (Alzheimer's, Parkinson's, schizophrenia, amyotrophic lateral sclerosis (ALS), Huntington's) and stroke. Cofilin is an essential protein in cytoskeletal dynamics, and any dysregulation could lead to potentially serious complications. Cofilin's involvement is underscored by its impact on pathological hallmarks like Aß plaques and α-synuclein aggregates, triggering synaptic dysfunction, dendritic spine loss, and impaired neuronal plasticity, leading to cognitive decline. In Parkinson's disease, cofilin collaborates with α-synuclein, exacerbating neurotoxicity and impairing mitochondrial and axonal function. ALS and frontotemporal dementia showcase cofilin's association with genetic factors like C9ORF72, affecting actin dynamics and contributing to neurotoxicity. Huntington's disease brings cofilin into focus by impairing microglial migration and influencing synaptic plasticity through AMPA receptor regulation. Alzheimer's, Parkinson's, and schizophrenia exhibit 14-3-3 proteins in cofilin dysregulation as a shared pathological mechanism. In the case of stroke, cofilin takes center stage, mediating neurotoxicity and neuronal cell death. Notably, there is a potential overlap in the pathologies and involvement of cofilin in various diseases. In this context, referencing cofilin dysfunction could provide valuable insights into the common pathologies associated with the aforementioned conditions. Moreover, this review explores promising therapeutic interventions, including cofilin inhibitors and gene therapy, demonstrating efficacy in preclinical models. Challenges in inhibitor development, brain delivery, tissue/cell specificity, and long-term safety are acknowledged, emphasizing the need for precision drug therapy. The call to action involves collaborative research, biomarker identification, and advancing translational efforts. Cofilin emerges as a pivotal player, offering potential as a therapeutic target. However, unraveling its complexities requires concerted multidisciplinary efforts for nuanced and effective interventions across the intricate landscape of neurodegenerative diseases and stroke, presenting a hopeful avenue for improved patient care.

Buckwheat OMICS: present status and future prospects.

Buckwheat (Fagopyrum spp.) is an underutilized resilient crop of North Western Himalayas belonging to the family Polygonaceae and is a source of essential nutrients and therapeutics. Common Buckwheat and Tatary Buckwheat are the two main cultivated species used as food. It is the only grain crop possessing rutin, an important metabolite with high nutraceutical potential. Due to its inherent tolerance to various biotic and abiotic stresses and a short life cycle, Buckwheat has been proposed as a model crop plant. Nutritional security is one of the major concerns, breeding for a nutrient-dense crop such as Buckwheat will provide a sustainable solution. Efforts toward improving Buckwheat for nutrition and yield are limited due to the lack of available: genetic resources, genomics, transcriptomics and metabolomics. In order to harness the agricultural importance of Buckwheat, an integrated breeding and OMICS platforms needs to be established that can pave the way for a better understanding of crop biology and developing commercial varieties. This, coupled with the availability of the genome sequences of both Buckwheat species in the public domain, should facilitate the identification of alleles/QTLs and candidate genes. There is a need to further our understanding of the molecular basis of the genetic regulation that controls various economically important traits. The present review focuses on: the food and nutritional importance of Buckwheat, its various omics resources, utilization of omics approaches in understanding Buckwheat biology and, finally, how an integrated platform of breeding and omics will help in developing commercially high yielding nutrient rich cultivars in Buckwheat.

Identification of novel SNPs in Pun1 locus for pungency in Capsicum species.

BACKGROUND: Capsaicin and its analogues known as capsaicinoids are the principal sources of pungency in Capsicum spp. In this study, characterization of North-West Himalayan chilli germplasm and commercial landraces of different Indian states known for different pungency-color combinations was done based on capsaicin concentration. Moreover, molecular variation in pungency among high, medium and mild/not pungent Capsicum spp., especially those adapted to North-West Himalayas were elucidated. METHODS AND RESULTS: Forty-nine genotypes of chilli comprising breeding lines of Kashmiri origin, commercial landraces of Southern Indian origin and one of the world's hottest chilli Bhut Jolokia from Nagaland state of India were used as an experimental material. Wide variation in capsaicin content was observed among the genotypes, wherein, Bhut Jolokia (Capsicum chinense) expressed the highest capsaicin content (10,500.75 µg/g). Further, molecular analysis of PunI gene was done for discovering SNPs responsible for variations in pungency. In the non-pungent Nishat-1 (Capsicum annuum var. grossum), the 650 bp DNA fragment was not amplified due to 2.5 kb deletion spanning the putative promoter and first exon of AT3. The amplified DNA product for high and medium pungent was sequencing. Sequence alignment among revealed SNPs which were further observed responsible for variations in amino acid sequence and protein structure. CONCLUSION: The observed variation in protein structure might be responsible for high capsaicin production in one genotype as compared to the other and hence the protein conformation determines its interaction with the substrate.

Trait specific marker-based characterization and population structure analysis in rice (Oryza sativa L.) germplasm of Kashmir Himalayas.

BACKGROUND: Rice is a key food grain contributor to the global food grain basket and is considered the main food crop in India with a large number of varieties released every year. SSR markers have proven to be an excellent tool for studying genetic diversity. As a result, the present study was done to characterize and assess genetic diversity as well as population structural aspects. METHODS AND RESULTS: Fifty genotypes of rice were characterized using 40 SSR markers to assess the genetic diversity and genetic relationship. A total of 114 alleles were amplified with an average of 2.85 alleles per locus. The Polymorphism Information Content (PIC) values varied from 0.30 (RM162) to 0.58 (RM413) with an average of 0.44. Gene diversity was in the range of 0.35 (RM162) to 0.66 (RM413), with an average value of 0.52, while heterozygosity ranged from 0.18 (RM27) to 0.74 (RM55), with an average of 0.39. The population structure revealed a narrow genetic base with only three major subpopulations. Analysis of molecular variance revealed that 74% of the variation was attributed within individuals, 23% was among individuals, and 3% was among populations. Pairwise Fst value of population A & B is 0.024, population B & C is 0.120 and population A & C is 0.115. Dendrogram grouped the genotypes into three clusters with wide variation among the accessions. CONCLUSION: Genotyping combined with phylogeny and population structure analysis proved to be a powerful method for characterizing germplasm in this study. There is significant gene flow within populations, as well as the presence of different combinations of alleles, and that allelic exchange rates within the populations are higher than among the populations. Assessing the genetic diversity among individual genotypes within populations is quite useful in selecting candidate parents for future breeding programs to improve the target traits in rice for the Himalayan region.

Biochemical and proteomic insights revealed selenium priming induced phosphorus stress tolerance in common bean (Phaseolus vulgaris L.).

BACKGROUND: Mineral stress is one of the dominating abiotic stresses, which leads to decrease in crop production. Selenium (Se) seed priming is a recent approach to mitigate the plant's mineral deficiency stress. Although not an essential element, Se has beneficial effects on the plants in terms of growth, quality, yield and plant defense system thus, enhancing plant tolerance to mineral deficiency. METHODS AND RESULTS: The present research was accomplished to find out the effect of Se priming on common bean plant (SFB-1 variety) under phosphorus (P) stress. The seeds were grown invitro on four different MGRL media which are normal MGRL media as control with non-Se primed seeds (Se- P+), non -Se primed seeds grown on P deficient MGRL media (Se- P-), Se primed seeds grown on normal MGRL media (Se+P+) and Se primed seeds grown on P deficient MGRL media (Se+P -). The various morphological and biochemical parameters such as proline content, total sugar content, polyphenols and expression of proteins were analyzed under P stress. The results showed that Se priming has significantly (p ≤ 0.05) affected the morphological as well as biochemical parameters under normal and P stress conditions. The morphological parameters-length, weight, number of nodes and leaves of Se+P+, Se+P- root and shoot tissue showed significant increase as compared to Se-P+, Se-P-. Similarly various biochemical parameters such as total chlorophyll content, proline, total sugar content and polyphenols of Se+P+, Se+P- increased significantly as compared to Se-P+, Se-P-. The differential protein expression in both Se+P+, Se+P- and Se-P+, Se-P- plants were determined using MALDI-MS/MS. The differentially expressed proteins in Se+P+, Se+P- plants were identified as caffeic acid-3-O-methyltransferase (COMT) and SecA protein (a subunit of Protein Translocan transporter), and are found responsible for lignin synthesis in root cell walls and ATP dependent movement of thylakoid proteins across the membranes in shoot respectively. The differential expression of proteins in plant tissues, validated morphological and biochemical responses such as maintaining membrane integrity, enhanced modifications in cellular metabolism, improved polyphenol activities and expression of defensive proteins against mineral deficiency. CONCLUSIONS: The study provided an understanding of Se application as a potential approach increasing tolerance and yield in crop plants against mineral deficiency.

Stroke: Molecular mechanisms and therapies: Update on recent developments.

Stroke, a neurological disease, is one of the leading causes of death worldwide, resulting in long-term disability in most survivors. Annual stroke costs in the United States alone were estimated at $46 billion recently. Stroke pathophysiology is complex, involving multiple causal factors, among which atherosclerosis, thrombus, and embolus are prevalent. The molecular mechanisms involved in the pathophysiology are essential to understanding targeted drug development. Some common mechanisms are excitotoxicity and calcium overload, oxidative stress, and neuroinflammation. In addition, various modifiable and non-modifiable risk factors increase the chances of stroke manifolds. Once a patient encounters a stroke, complete restoration of motor ability and cognitive skills is often rare. Therefore, shaping therapeutic strategies is paramount for finding a viable therapeutic agent. Apart from tPA, an FDA-approved therapy that is applied in most stroke cases, many other therapeutic strategies have been met with limited success. Stroke therapies often involve a combination of multiple strategies to restore the patient's normal function. Certain drugs like Gamma-aminobutyric receptor agonists (GABA), Glutamate Receptor inhibitors, Sodium, and Calcium channel blockers, and fibrinogen-depleting agents have shown promise in stroke treatment. Recently, a drug, DM199, a recombinant (synthetic) form of a naturally occurring protein called human tissue kallikrein-1 (KLK1), has shown great potential in treating stroke with fewer side effects. Furthermore, DM199 has been found to overcome the limitations presented when using tPA and/or mechanical thrombectomy. Cell-based therapies like Neural Stem Cells, Hematopoietic stem cells (HSCs), and Human umbilical cord blood-derived mesenchymal stem cells (HUCB-MSCs) are also being explored as a treatment of choice for stroke. These therapeutic agents come with merits and demerits, but continuous research and efforts are being made to develop the best therapeutic strategies to minimize the damage post-stroke and restore complete neurological function in stroke patients.

Low Temperature Stress Tolerance: An Insight Into the Omics Approaches for Legume Crops.

The change in climatic conditions is the major cause for decline in crop production worldwide. Decreasing crop productivity will further lead to increase in global hunger rate. Climate change results in environmental stress which has negative impact on plant-like deficiencies in growth, crop yield, permanent damage, or death if the plant remains in the stress conditions for prolonged period. Cold stress is one of the main abiotic stresses which have already affected the global crop production. Cold stress adversely affects the plants leading to necrosis, chlorosis, and growth retardation. Various physiological, biochemical, and molecular responses under cold stress have revealed that the cold resistance is more complex than perceived which involves multiple pathways. Like other crops, legumes are also affected by cold stress and therefore, an effective technique to mitigate cold-mediated damage is critical for long-term legume production. Earlier, crop improvement for any stress was challenging for scientific community as conventional breeding approaches like inter-specific or inter-generic hybridization had limited success in crop improvement. The availability of genome sequence, transcriptome, and proteome data provides in-depth sight into different complex mechanisms under cold stress. Identification of QTLs, genes, and proteins responsible for cold stress tolerance will help in improving or developing stress-tolerant legume crop. Cold stress can alter gene expression which further leads to increases in stress protecting metabolites to cope up the plant against the temperature fluctuations. Moreover, genetic engineering can help in development of new cold stress-tolerant varieties of legume crop. This paper provides a general insight into the "omics" approaches for cold stress in legume crops.

Polyphenolics, antioxidant characterization and DNA barcoding of Kala zeera [Bunium persicum (Boiss.) Fedtsch] through multiple barcode analysis to unravel best barcode combination.

BACKGROUND: Kala zeera [Bunium persicum (Boiss.) Fedtsch] is one of the important spice crops of North Western Himalayas with lot of medicinal and culinary values. In spite of having great importance, this crop is under the threat of extinction due to loss of habitat and lack of awareness. The limited availability of the seeds has ultimately increased the economic value of this spice. The upmarket of Kala zeera leads to its adulteration with other black seeds and cumin seeds. The present investigation was undertaken to evaluate polyphenolics and antioxidant properties of Kala zeera genotypes collected from North Western Himalayas and to develop DNA barcodes that can ensure their purity and can also guide in conservation of selected Kala zeera germplasm lines. METHODS AND RESULTS: Various locations of North Western Himalayas were explored for collecting 31 diverse germplasm lines of Kala zeera. The collected germplasm was maintained at our experimental stations during 2019-2020 and 2020-2021. These genotypes were evaluated for different seed traits and the methanolic extract from Kala zeera seeds was examined for total phenolic content, total flavonoid content, antioxidant activities by DPPH and FRAP. The results revealed significant variation in seed traits, polyphenolic content and antioxidant properties. 100 seed weight ranged from 0.05 to 0.35 g, TPC ranged from 7.5 to 22.56 mg/g, TFC ranged from 0.58 to 4.15 mg/g, antioxidant properties DPPH ranged from 168 to 624.4 µg/ml and FRAP ranged from 0.72 to 6.91 mg/g. Further, three different barcodes (ITS, rbcL and psbA-trnH) were used to reveal the authenticity of selected Kala zeera. MEGA 5 software was used for clustering and the barcodes did clustering based on geographical distribution of Kala zeera germplasm. CONCLUSION: Based on molecular barcoding, best barcode combination was identified that may discriminate the Kala zeera germplasm vis-a-vis can authenticate their purity. Moreover, the identified DNA barcodes will have significant role in studying the evolutionary biology of Bunium species and will be important for designing a strategy to conserve the selected Kala zeera germplasm lines. The identified genotypes with high phenolic content and antioxidant activity can further be utilized in Kala zeera breeding programmes.

Identification of QTLs/ Candidate Genes for Seed Mineral Contents in Common Bean (Phaseolus vulgaris L.) Through Genotyping-by-Sequencing.

Throughout the ages, the common bean has been consumed by humanity as an important food staple crop and source of nutrition on a global scale. Since its domestication, a wide spectrum of phenotypic and genotypic investigations have been carried out to unravel the potential of this crop and to understand the process of nutrient accumulation along with other desirable characteristics. The common bean is one of the essential legume crops due to its high protein and micronutrient content. The balance in micronutrients is critical for the growth and development of plants as well as humans. Iron (Fe), Zinc (Zn), Copper (Cu), Manganese (Mn), Magnesium (Mg), Calcium (Ca), and Molybdenum (Mo) are some of the important micronutrients present in legumes. Thus, we aimed to investigate the quantitative trait loci's (QTLs)/single nucleotide polymorphisms (SNPs) to identify the candidate genes associated with micronutrients through genotyping by sequencing (GBS). In our investigation, through GBS we identified SNPs linked with traits and assessed seven micronutrients in 96 selected common bean genotypes for screening nutritionally rich genotypes. Among 96399 SNPs total identified through GBS, 113 SNPs showed significant phenotypic variance, ranging from 13.50 to 21.74%. SNPs associated with most of the seed micronutrients (Mg, Mn, Fe, Ca, Cu) were found on chr3 & chr11 (Mg, Mn, Mo, Ca, Zn). The findings from this study could be used for haplotype-based selection of nutritionally rich genotypes and for marker-assisted genetic enhancement of the common bean. Further, the identified SNPs for candidate genes/transporters associated with micronutrient content may pave the way for the enrichment of seeds by employing genomics-assisted breeding programs.

Emerging trends in developing biosensor techniques to undertake plant phosphoproteomic analysis.

Protein modifications particularly phosphorylation is governed by a complex array of mechanisms to attain a functional conformation and regulate important biological processes in organisms during external environmental stimuli and hormone signaling. Phosphoproteomics is a promising field of proteomics for identification of proteins with phosphate groups and their impact on structure, function and localization of proteins. Techniques that allow quantitative detection of proteins and their post-translational modifications (PTMs) have immensely led to understand the structural and functional dynamics of proteins. Biosensor systems are a relatively new biotechnological approach that works on the principle of transforming the interactions of different biological samples viz proteins, enzymes, aptamers, nucleic acids and so on into the signals such as electrochemical, colorimetric, optical or magnetic which have been effectively useful in the detection and characterization of phosphoproteins. The focus of our review is to provide a comprehensive account of the critical role and utility of novel biosensors such as, fluorescence based, enrichment based, nanobody based biosensors, as promising technical intercessions to identify phosphoproteins and their influence on structural dynamics of proteins. Furthermore, by studying the innovative phosphoprotein biosensors we will be able to identify the aberrant phosphorylation patterns to precisely diagnose diseases.

Deciphering allelic variability and population structure in buckwheat: An analogy between the efficiency of ISSR and SSR markers.

Food and nutritional security continue to be the issues of concern in developing countries like ours. Exploring the reservoir of high potential unexplored genetic resources could address the world's food and nutritional insecurity. The availability of diverse data and the population structure of any crop germplasm is a valuable genetic resource for discovering genes that can help achieve food and nutritional stability. We used seven ISSR and seven SSR markers to investigate diversity among 63 buckwheat genotypes, including landraces from India's northwestern Himalayas. Various parameters such as percent polymorphism, PIC, resolving power, and marker index was used to evaluate the inequitable efficacy of these markers. We foundthat both marker systems are effective in detecting polymorphism in buckwheat germplasm. Seven ISSRs produced 55 polymorphic bands, while seven SSRs produced 32bands. When compared to ISSRs, SSRs had a greater average PIC value (0.43) than that of (0.36). ISSRs, on the other hand, had a resolving power of (4.38) compared to (1.42) for SSRs. The hierarchical cluster analysis dendrogram divided genotypes into three major clusters. We found that both marker systems were equally accurate in grouping buckwheat genotypes according to their geographical origins. Using 7 ISSR and 7 SSR markers, the model-based STRUCTURE analysis established a population with two sub-populations that correspond to species-based groupings. Within the population, there was a high level of genetic diversity. These results have consequences for both buckwheat breeding and conservation efforts.

Morphological, Biochemical, and Proteomic Studies Revealed Impact of Fe and P Crosstalk on Root Development in Phaseolus vulgaris L.

Mineral stress is one of the major abiotic stresses faced by crop plants. The present study was undertaken to investigate the impact of mineral stress (iron (Fe) and phosphorus (P)) on various morphological and biochemical responses of the shoot and root tissues and root architecture of common bean (Phaseolus vulgaris L.). This study also leads us to the identification of P stress responsive proteins. The study was conducted under in vitro conditions, in which seeds of Shalimar French Bean-1 (SFB-1) variety were cultured on four different MGRL medium (control (P1Fe1), iron deficient (P1Fe0), phosphorus deficient (P0Fe1), and phosphorus and iron deficient (P0Fe0)). Chlorophyll content of leaves, Fe/P content of root tissues, total sugars, proline, length, and weight of shoot and root tissues were assessed and compared within and between the treatments. The analyzed data revealed significant difference between control and other three treatments. Chlorophyll content of shoots was found significantly decreased under mineral stress treatments P0Fe1, P1Fe0, and P0Fe0 than control. Length and weight of shoot and root were also observed significantly decreased under P0Fe1, P1Fe0, and P0Fe0 as compared to control. Total sugar was significantly higher in P0Fe1 of roots in comparison to control. Proline content was significantly higher in both tissues of shoots and roots of plants grown under P1Fe0, P0Fe1, and P0Fe0 than control condition. Furthermore, we unexpectedly observed the recovery of roots (mainly primary roots) under P0Fe0 as compared to P1Fe0 and P0Fe1. Interestingly higher concentration of Fe was also observed in P0Fe1 compared to other treatments and also higher concentration of P was observed in P1Fe1. These findings suggested that there is a crosstalk between Fe and P and also revealed that there is a disruption in the ability of PR (primary root) to sense local P deficiency in the absence of Fe. Furthermore, proteomics analysis (SDS-PAGE followed by MALDI MS) helped in identification of defensive proteins in P stress condition compared to control.

Marker association study of yield attributing traits in common bean (Phaseolus vulgaris L.).

Common bean is gaining acceptance as one of the most valuable major food consumed worldwide owing to innumerable nutritional and therapeutic benefits. Comparatively less productivity in underdeveloped countries encouraged us to proceed for QTL mining of yield traits in common bean. Heretofore, multiple yield associated markers have been detected all over the world; even so, the present work is looked on as the first report on identification of novel/new potent markers by exploiting the germplasm of Northern India. A panel of one hundred and thirty five genotypes was used for morphological studies and based on preliminary molecular evaluation; a set of ninety six diverse common bean genotypes (core set) was selected for association analysis. Molecular data generated by a total of ninety eight microsatellite markers (53 genomic and 45 genic SSRs) revealed high estimation of polymorphism among the genotypes that were observed to be divided into two major sub-populations and varying levels of admixtures based on population structure analyses. By employing both MLM and GLM analysis approaches, we identified 46 and 16 significant marker-trait associations (p ≤ 0.005) respectively, few of which have already been reported and hence validate our results. PVBR213 marker was found to be strongly associated with days to bud initiation trait when analyzed with both the approaches. Phenotypic variation of identified significant markers ranged from 3.1% to 32.7% where PVBR87, PVBR213, X96999 and X57022 explain more than 30% of phenotypic variation for 100 seed weight, days to bud initiation, pods per plant and pod length traits respectively. These findings introduce highly informative markers to aid marker-assisted selection program in common bean for high yield performance along with good agronomic merit.

Role of silicon in plant stress tolerance: opportunities to achieve a sustainable cropping system.

Silicon (Si) being considered as a non-essential element for plant growth and development finds its role in providing several benefits to the plant, especially under stress conditions. Thus, Si can be regarded as "multi-talented" quasi-essential element. It is the most abundant element present in the earth's crust after oxygen predominantly as a silicon dioxide (SiO2), a form plants cannot utilize. Plants take up Si into their root from the soil in the plant-available forms (PAF) such as silicic acid or mono silicic acid [Si(OH)4 or H4SiO4]. Nevertheless, besides being abundantly available, the PAF of Si in the soil is mostly a limiting factor. To improve Si-uptake and derived benefits therein in plants, understanding the molecular basis of Si-uptake and transport within the tissues has great importance. Numerous Si-transporters (influx and efflux) have been identified in both monocot and dicot plants. A difference in the root anatomy of both monocot and dicot plants leads to a difference in the Si-uptake mechanism. In the present review, Si-transporters identified in different species, their evolution and the Si-uptake mechanism have been addressed. Further, the role of Si in biotic and abiotic stress tolerance has been discussed. The information provided here will help to plan the research in a better way to develop more sustainable cropping system by harnessing Si-derived benefits.

Linkage disequilibrium based association mapping of micronutrients in common bean (Phaseolus vulgaris L.): a collection of Jammu & Kashmir, India.

Micronutrient deficiencies are of major concern in human health and plant metabolism. Iron (Fe), zinc (Zn), iodine (I), selenium (Se) are regarded as micronutrients having major impact on human health. More than 50% of populations mainly from developing countries are suffering from one or the other micronutrient malnutrition. Ensuring adequate supply of these micronutrients through diet consisting of staple foods, such as common bean (Phaseolus vulgaris L.) is must. Here, we evaluated common bean genotypes that were collected from various regions of Jammu and Kashmir, India for Fe, Zn and protein contents and used SSRs to identify the markers associated with these traits. We found significant variation among genotypes for Fe, Zn and protein contents. Genotype R2 was having 7.22 mg 100 g-1 of Fe content, genotype K15 with 1.93 mg 100 g-1 of Zn content and genotype KS6 with 31.6% of protein content. Diversity study was done using both cluster and structure based approach. Further, association mapping analysis using General Linear Method (GLM) approach was done to identify SSRs associated with accumulation of Fe, Zn and protein. 13 SSRs were identified that significantly (p < 0.05) showed association with Fe, Zn and protein contents in common bean. The markers associated with Fe were located on chromosome no. 2, 5, 6, 7, 9 and 10, markers associated with Zn were located on chromosome no. 1, 3, 5, 7 and 10 whereas only one marker located on chromosome no. 4 was found associated with protein content. These findings will provide potential opportunity to improve Fe and Zn concentrations in common bean, through molecular breeding.

Genetic diversity and population structure of Cucumis sativus L. by using SSR markers.

The genetic variation, marker attributes and population structure was assessed in 104 genotypes of cucumber using 23 SSR primer pairs. The total number of alleles produced was 67 with an average of 2.91 per locus. Allele frequency was in the range of 0.215 to 0.561 with mean value of 0.403, polymorphic information content ranged from 0.158 to 0.495 with the mean of 0.333, marker index ranged from 0.316 to 1.54 with an average value of 0.954 and resolving power ranged from 0.346 to 2.692 with mean of 1.392. The maximum allele frequency was reported with primer SSR65, whereas the maximum value of polymorphic information content and resolving power was found with SSR61 and the maximum value of marker index was reported with SSR60. Jaccard's similarity coefficient ranged from 0.07 to 0.897 with maximum similarity between genotype G40 and G41 and minimum between G16 and G20, and G16 and G100. Clustering and PCA grouped the genotypes in two clusters, and majority of them were found in cluster B. The population structure analysis also showed two major populations, in which 47 genotypes were found in population 1, 39 genotypes in population 2, whereas remaining 18 genotypes were admixtures. The study provides researchers a valuable information for genotype identification, gene mapping, molecular breeding, and future exploration of cucumber germplasm in India and other major cucumber growing countries.

Common bean proteomics: Present status and future strategies.

Common bean (Phaseolus vulgaris L.) is a legume of appreciable importance and usefulness worldwide to the human population providing food and feed. It is rich in high-quality protein, energy, fiber and micronutrients especially iron, zinc, and pro-vitamin A; and possesses potentially disease-preventing and health-promoting compounds. The recently published genome sequence of common bean is an important landmark in common bean research, opening new avenues for understanding its genetics in depth. This legume crop is affected by diverse biotic and abiotic stresses severely limiting its productivity. Looking at the trend of increasing world population and the need for food crops best suited to the health of humankind, the legumes will be in great demand, including the common bean mostly for its nutritive values. Hence the need for new research in understanding the biology of this crop brings us to utilize and apply high-throughput omics approaches. In this mini-review our focus will be on the need for proteomics studies in common bean, potential of proteomics for understanding genetic regulation under abiotic and biotic stresses and how proteogenomics will lead to nutritional improvement. We will also discuss future proteomics-based strategies that must be adopted to mine new genomic resources by identifying molecular switches regulating various biological processes. SIGNIFICANCE: Common bean is regarded as "grain of hope" for the poor, being rich in high-quality protein, energy, fiber and micronutrients (iron, zinc, pro-vitamin A); and possesses potentially disease-preventing and health-promoting compounds. Increasing world population and the need for food crops best suited to the health of humankind, puts legumes into great demand, which includes the common bean mostly. An important landmark in common bean research was the recent publication of its genome sequence, opening new avenues for understanding its genetics in depth. This legume crop is affected by diverse biotic and abiotic stresses severely limiting its productivity. Therefore, the need for new research in understanding the biology of this crop brings us to utilize and apply high-throughput omics approaches. Proteomics can be used to track all the candidate proteins/genes responsible for a biological process under specific conditions in a particular tissue. The potential of proteomics will not only help in determining the functions of a large number of genes in a single experiment but will also be a useful tool to mine new genes that can provide solution to various problems (abiotic stress, biotic stress, nutritional improvement, etc). We believe that a combined approach including breeding along with omics tools will lead towards attaining sustainability in legumes, including common bean.

Population Structure Analysis and Selection of Core Set among Common Bean Genotypes from Jammu and Kashmir, India.

Understanding the genetic diversity of a crop is useful for its effective utilization in breeding programmes. For better understanding of the genetic variability in common bean, the first and foremost step is to study its genetic diversity. In the present investigation, 138 genotypes of common bean collected from various regions of Jammu and Kashmir, India, representing major common bean growing areas of this region, were evaluated using 23 SSRs. These SSRs were found highly polymorphic and possess high values for various parameters indicating their high discriminatory power. The average PIC value observed was 0.692, with 0.730 as average gene diversity value, and 0.267 as heterozygosity. Twenty-three SSRs produced a total of 251 alleles. The dendrogram generated with un-weighted neighbour joining cluster analysis grouped genotypes into three main clusters with various degrees of sub-clustering within the clusters. The model-based STRUCTURE analysis using 23 SSR markers identified a population with 3 sub-populations which corresponds to distance-based groupings with average F ST value and expected heterozygosity of 0.1497 and 0.6696, respectively, within the sub-population, as such high level of genetic diversity was observed within the population. Further, Core Hunter II was used to identify a core set of 96 diverse genotypes. This core set of diverse 96 genotypes is a potential resource for association mapping studies and can be used by breeders as a material to make desirable genetic crosses to generate elite varieties for the fulfilling global market needs. These findings have further implications in common bean breeding as well as conservation programs.

Unraveling the efficiency of RAPD and SSR markers in diversity analysis and population structure estimation in common bean.

Increase in food production viz-a-viz quality of food is important to feed the growing human population to attain food as well as nutritional security. The availability of diverse germplasm of any crop is an important genetic resource to mine the genes that may assist in attaining food as well as nutritional security. Here we used 15 RAPD and 23 SSR markers to elucidate diversity among 51 common bean genotypes mostly landraces collected from the Himalayan region of Jammu and Kashmir, India. We observed that both the markers are highly polymorphic. The discriminatory power of these markers was determined using various parameters like; percent polymorphism, PIC, resolving power and marker index. 15 RAPDs produced 171 polymorphic bands, while 23 SSRs produced 268 polymorphic bands. SSRs showed a higher PIC value (0.300) compared to RAPDs (0.243). Further the resolving power of SSRs was 5.241 compared to 3.86 for RAPDs. However, RAPDs showed a higher marker index (2.69) compared to SSRs (1.279) that may be attributed to their higher multiplex ratio. The dendrograms generated with hierarchical UPGMA cluster analysis grouped genotypes into two main clusters with various degrees of sub clustering within the cluster. Here we observed that both the marker systems showed comparable accuracy in grouping genotypes of common bean according to their area of cultivation. The model based STRUCTURE analysis using 15 RAPD and 23 SSR markers identified a population with 3 sub-populations which corresponds to distance based groupings. High level of genetic diversity was observed within the population. These findings have further implications in common bean breeding as well as conservation programs.