Genome-wide identification, characterization, and expression analysis of MIPS family genes in legume species.

BACKGROUND: Evolutionarily conserved in plants, the enzyme D-myo-inositol-3-phosphate synthase (MIPS; EC 5.5.1.4) regulates the initial, rate-limiting reaction in the phytic acid biosynthetic pathway. They are reported to be transcriptional regulators involved in various physiological functions in the plants, growth, and biotic/abiotic stress responses. Even though the genomes of most legumes are fully sequenced and available, an all-inclusive study of the MIPS family members in legumes is still ongoing. RESULTS: We found 24 MIPS genes in ten legumes: Arachis hypogea, Cicer arietinum, Cajanus cajan, Glycine max, Lablab purpureus, Medicago truncatula, Pisum sativum, Phaseolus vulgaris, Trifolium pratense and Vigna unguiculata. The total number of MIPS genes found in each species ranged from two to three. The MIPS genes were classified into five clades based on their evolutionary relationships with Arabidopsis genes. The structural patterns of intron/exon and the protein motifs that were conserved in each gene were highly group-specific. In legumes, MIPS genes were inconsistently distributed across their genomes. A comparison of genomes and gene sequences showed that this family was subjected to purifying selection and the gene expansion in MIPS family in legumes was mainly caused by segmental duplication. Through quantitative PCR, expression patterns of MIPS in response to various abiotic stresses, in the vegetative tissues of various legumes were studied. Expression pattern shows that MIPS genes control the development and differentiation of various organs, and have significant responses to salinity and drought stress. CONCLUSION: The MIPS genes in the genomes of legumes have been identified, characterized and their expression was analysed. The findings pave way for understanding their molecular functions and evolution, and lead to identify the putative MIPS genes associated with different cell and tissue development.

Metabolic profiles of peanut (Arachis hypogaea L.) in response to Puccinia arachidis fungal infection.

Background Puccinia arachidis fungus causes rust disease in the peanut plants (Arachis hypogaea L.), which leads to high yield loss. Metabolomic profiling of Arachis hypogaea was performed to identify the pathogen-induced production of metabolites involved in the defense mechanism of peanut plants. In this study, two peanut genotypes, one susceptible (JL-24) and one resistant (GPBD-4) were inoculated with Puccinia arachidis fungal pathogen. The metabolic response was assessed at the control stage (0 day without inoculation), 2 DAI (Day after inoculation), 4 DAI and 6 DAI by Gas Chromatography-Mass Spectrometry (GC-MS). Results About 61 metabolites were identified by NIST library, comprising sugars, phenols, fatty acids, carboxylic acids and sugar alcohols. Sugars and fatty acids were predominant in leaf extracts compared to other metabolites. Concentration of different metabolites such as salicylic acid, mannitol, flavonoid, 9,12-octadecadienoic acid, linolenic acid and glucopyranoside were higher in resistant genotype than in susceptible genotype during infection. Systemic acquired resistance (SAR) and hypersensitive reaction (HR) components such as oxalic acid was elevated in resistant genotype during pathogen infection. Partial least square-discriminant analysis (PLS-DA) was applied to GC-MS data for revealing metabolites profile between resistant and susceptible genotype during infection. Conclusion The phenol content and oxidative enzyme activity i.e. catalase, peroxidase and polyphenol oxidase were found to be very high at 4 DAI in resistant genotype (p-value < 0.01). This metabolic approach provides information about bioactive plant metabolites and their application in crop protection and marker-assisted plant breeding.

Dynamic roles of small RNAs and DNA methylation associated with heterosis in allotetraploid cotton (Gossypium hirsutum L.).

BACKGROUND: Heterosis is a complex phenomenon wherein the hybrids outperform their parents. Understanding the underlying molecular mechanism by which hybridization leads to higher yields in allopolyploid cotton is critical for effective breeding programs. Here, we integrated DNA methylation, transcriptomes, and small RNA profiles to comprehend the genetic and molecular basis of heterosis in allopolyploid cotton at three developmental stages. RESULTS: Transcriptome analysis revealed that numerous DEGs responsive to phytohormones (auxin and salicylic acid) were drastically altered in F1 hybrid compared to the parental lines. DEGs involved in energy metabolism and plant growth were upregulated, whereas DEGs related to basal defense were downregulated. Differences in homoeologous gene expression in F1 hybrid were greatly reduced after hybridization, suggesting that higher levels of parental expression have a vital role in heterosis. Small RNAome and methylome studies showed that the degree of DNA methylation in hybrid is higher when compared to the parents. A substantial number of allele-specific expression genes were found to be strongly regulated by CG allele-specific methylation levels. The hybrid exhibited higher 24-nt-small RNA (siRNA) expression levels than the parents. The regions in the genome with increased levels of 24-nt-siRNA were chiefly related to genes and their flanking regulatory regions, demonstrating a possible effect of these molecules on gene expression. The transposable elements correlated with siRNA clusters in the F1 hybrid had higher methylation levels but lower expression levels, which suggest that these non-additively expressed siRNA clusters, reduced the activity of transposable elements through DNA methylation in the hybrid. CONCLUSIONS: These multi-omics data provide insights into how changes in epigenetic mechanisms and gene expression patterns can lead to heterosis in allopolyploid cotton. This makes heterosis a viable tool in cotton breeding.

The overall quality of evidence of recommendations surrounding nutrition and diet in inflammatory bowel disease.

BACKGROUND AND AIM: Recently, there has been an increased focus on the role nutrition and diet play in maintaining health in inflammatory bowel disease (IBD). We aimed to assess the overall quality, strength, and transparency of conflicts among guidelines on nutrition/diet in IBD. METHODS: A systematic search was performed on multiple databases from inception until January 1, 2021, to identify guidelines pertaining to nutrition or diet in IBD. All guidelines were reviewed for disclosure of conflicts of interest (COI) and funding, recommendation quality and strength, external document review, patient representation, and plans for update-as per Institute of Medicine (IOM) standards. In addition, recommendations and their quality were compared between guidelines/societies.​ RESULTS: Seventeen distinct societies and a total of 228 recommendations were included. Not all guidelines provided recommendations on key aspects of diet-such as the role of supplements or the appropriate micro/macro nutrition in IBD. Fifty-nine percent of guidelines reported on COI, 24% underwent external review, and 41% included patient representation. 18.4%, 25.9%, and 55.7% of recommendations were based on high-, moderate-, and low-quality evidence, respectively. 10.5%, 24.6%, and 64.9% of recommendations were strong, weak/conditional, and did not provide a strength, respectively. The proportion of high-quality evidence (p = 0.12) and strong recommendations (p = 0.83) did not significantly differ across societies. CONCLUSIONS: Many guidelines do not provide recommendations on key aspects of diet/nutrition in IBD. As over 50% of recommendations are based on low-quality evidence, further studies on nutrition/diet in IBD are warranted to improve the overall quality of evidence.

Comparative metabolomics of root-tips reveals distinct metabolic pathways conferring drought tolerance in contrasting genotypes of rice.

BACKGROUND: The mechanisms underlying rice root responses to drought during the early developmental stages are yet unknown. RESULTS: This study aimed to determine metabolic differences in IR64, a shallow-rooting, drought-susceptible genotype, and Azucena, a drought-tolerant and deep-rooting genotype under drought stress. The morphological evaluation revealed that Azucena might evade water stress by increasing the lateral root system growth, the root surface area, and length to access water. At the same time, IR64 may rely mainly on cell wall thickening to tolerate stress. Furthermore, significant differences were observed in 49 metabolites in IR64 and 80 metabolites in Azucena, for which most metabolites were implicated in secondary metabolism, amino acid metabolism, nucleotide acid metabolism and sugar and sugar alcohol metabolism. Among these metabolites, a significant positive correlation was found between allantoin, galactaric acid, gluconic acid, glucose, and drought tolerance. These metabolites may serve as markers of drought tolerance in genotype screening programs. Based on corresponding biological pathways analysis of the differentially abundant metabolites (DAMs), biosynthesis of alkaloid-derivatives of the shikimate pathway, fatty acid biosynthesis, purine metabolism, TCA cycle and amino acid biosynthesis were the most statistically enriched biological pathway in Azucena in drought response. However, in IR64, the differentially abundant metabolites of starch and sucrose metabolism were the most statistically enriched biological pathways. CONCLUSION: Metabolic marker candidates for drought tolerance were identified in both genotypes. Thus, these markers that were experimentally determined in distinct metabolic pathways can be used for the development or selection of drought-tolerant rice genotypes.

Comparative Transcriptome Analysis Unveils the Molecular Mechanism Underlying Sepal Colour Changes under Acidic pH Substratum in Hydrangea macrophylla

The hydrangea (Hydrangea macrophylla (Thunb). Ser.), an ornamental plant, has good marketing potential and is known for its capacity to change the colour of its inflorescence depending on the pH of the cultivation media. The molecular mechanisms causing these changes are still uncertain. In the present study, transcriptome and targeted metabolic profiling were used to identify molecular changes in the RNAome of hydrangea plants cultured at two different pH levels. De novo assembly yielded 186,477 unigenes. Transcriptomic datasets provided a comprehensive and systemic overview of the dynamic networks of the gene expression underlying flower colour formation in hydrangeas. Weighted analyses of gene co-expression network identified candidate genes and hub genes from the modules linked closely to the hyper accumulation of Al3+ during different stages of flower development. F3'5'H, ANS, FLS, CHS, UA3GT, CHI, DFR, and F3H were enhanced significantly in the modules. In addition, MYB, bHLH, PAL6, PAL9, and WD40 were identified as hub genes. Thus, a hypothesis elucidating the colour change in the flowers of Al3+-treated plants was established. This study identified many potential key regulators of flower pigmentation, providing novel insights into the molecular networks in hydrangea flowers.

Uncloaking lncRNA-meditated gene expression as a potential regulator of CMS in cotton (Gossypium hirsutum L.).

Cytoplasmic male sterility is a well-proven mechanism for cotton hybrid production. Long non-coding RNAs belong to a class of transcriptional regulators that function in multiple biological processes. The cDNA libraries from the flower buds of the cotton CGMS, it's restorer (Rf) and maintainer lines were sequenced using high throughput NGS technique. A total of 1531 lncRNAs showed significant differential expression patterns between these three lines. Functional analysis of the co-expression network of lncRNA-mRNA using gene ontology vouchsafes that, lncRNAs play a crucial role in cytoplasmic male sterility and fertility restoration through pollen development, INO80 complex, development of anther wall tapetum, chromatin remodeling, and histone modification. Additionally, 94 lncRNAs were identified as putative precursors of 49 miRNAs. qRT-PCR affirms the concordance of expression pattern to RNA-seq data. These findings divulge the lncRNA driven miRNA-mediated regulation of gene expression profiling superintended for a better understanding of the CMS mechanisms of cotton.

Transcriptome landscaping for gene mining and SSR marker development in Coriander (Coriandrum sativum L.).

Coriander (Coriandrum sativum L.) is an aromatic herb, widely used as a spice and is of great pharmaceutical interest. Despite high medicinal and economic value, there is a dearth of genomic information about profiling as well as the expressed sequence-based genic markers. In this study, transcriptome was sequenced from seeds, leaves, and flower for gene mining and identification of SSR markers. A total of 9746 SSR containing loci were identified, the most abundant type of SSR identified were the di-nucleotide repeat motifs (45.5%), followed by tri- (34.6%), tetra- (4.5%), penta- (1.5%) and hexanucleotide repeats (1%). A total of 3795 primers were designed, out of which 120 randomly selected were validated in 14 accessions of coriander cultivated in India. The current study provides useful information about preliminary transcriptome sketch and genic markers, which can be useful in breeding and genetic diversity estimation of coriander.