Domestication-driven Gossypium profilin 1 (GhPRF1) gene transduces early flowering phenotype in tobacco by spatial alteration of apical/floral-meristem related gene expression

Evolutionary dynamics of the cytoskeletal profilin gene family in Brassica juncea L. reveal its roles in silique development and stress resilience

Essential to plant adaptation, cell wall (CW) integrity is maintained by CW-biosynthesis genes. Cytoskeletal actin-(de)polymerizing, phospholipid-binding profilin (PRF) proteins play important roles in maintaining cellular homeostasis across kingdoms. However, evolutionary selection of PRF genes and their systematic characterization in family Brassicaceae, especially in Brassica juncea remain unexplored. Here, a comprehensive analysis of genome-wide identification of BjPRFs, their phylogenetic association, genomic localization, gene structure, and transcriptional profiling were performed in an evolutionary framework. Identification of 23 BjPRFs in B. juncea indicated an evolutionary conservation within Brassicaceae. The BjPRFs evolved through paralogous and orthologous gene formation in Brassica genomes. Evolutionary divergence of BjPRFs indicated purifying selection, with nonsynonymous (dN)/synonymous (dS) value of 0.090 for orthologous gene-pairs. Hybrid homology-modeling identified evolutionary distinct and conserved domains in BjPRFs which suggested that these proteins evolved following the divergence of monocot and eudicot plants. RNA-seq profiles of BjPRFs revealed their functional evolution in spatiotemporal manner during plant-development and stress-conditions in diploid/amphidiploid Brassica species. Real-Time PCR experiments in seedling, vegetative, floral and silique tissues of B. juncea suggested their essential roles in systematic plant development. These observations underscore the expansion of BjPRFs in B. juncea, and offer valuable evolutionary insights for exploring cellular mechanisms, and stress resilience.

Genome-Wide Analysis of VILLIN Gene Family Associated with Stress Responses in Cotton (Gossypium spp.)

The VILLIN (VLN) protein plays a crucial role in regulating the actin cytoskeleton, which is involved in numerous developmental processes, and is crucial for plant responses to both biotic and abiotic factors. Although various plants have been studied to understand the VLN gene family and its potential functions, there has been limited exploration of VLN genes in Gossypium and fiber crops. In the present study, we characterized 94 VLNs from Gossypium species and 101 VLNs from related higher plants such as Oryza sativa and Zea mays and some fungal, algal, and animal species. By combining these VLN sequences with other Gossypium spp., we classified the VLN gene family into three distinct groups, based on their phylogenetic relationships. A more in-depth examination of Gossypium hirsutum VLNs revealed that 14 GhVLNs were distributed across 12 of the 26 chromosomes. These genes exhibit specific structures and protein motifs corresponding to their respective groups. GhVLN promoters are enriched with cis-elements related to abiotic stress responses, hormonal signals, and developmental processes. Notably, a significant number of cis-elements were associated with the light responses. Additionally, our analysis of gene-expression patterns indicated that most GhVLNs were expressed in various tissues, with certain members exhibiting particularly high expression levels in sepals, stems, and tori, as well as in stress responses. The present study potentially provides fundamental insights into the VLN gene family and could serve as a valuable reference for further elucidating the diverse functions of VLN genes in cotton.

Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence

With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary of human and ecosystem health has been deeply challenged. The interdependence of human and nonhuman animal health is increasingly acknowledged and paving the way for new frontiers in integrative biology. The convergence of genomics in health, bioinformatics, agriculture, and artificial intelligence (AI) has ushered in a new era of possibilities and applications. However, the sheer volume of genomic/multiomics big data generated also presents formidable sociotechnical challenges in extracting meaningful biological, planetary health and ecological insights. Over the past few years, AI-guided bioinformatics has emerged as a powerful tool for managing, analyzing, and interpreting complex biological datasets. The advances in AI, particularly in machine learning and deep learning, have been transforming the fields of genomics, planetary health, and agriculture. This article aims to unpack and explore the formidable range of possibilities and challenges that result from such transdisciplinary integration, and emphasizes its radically transformative potential for human and ecosystem health. The integration of these disciplines is also driving significant advancements in precision medicine and personalized health care. This presents an unprecedented opportunity to deepen our understanding of complex biological systems and advance the well-being of all life in planetary ecosystems. Notwithstanding in mind its sociotechnical, ethical, and critical policy challenges, the integration of genomics, multiomics, planetary health, and agriculture with AI-guided bioinformatics opens up vast opportunities for transnational collaborative efforts, data sharing, analysis, valorization, and interdisciplinary innovations in life sciences and integrative biology.

Artificial Intelligence in Biological Sciences

Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined. As the field of AI matures with more trained algorithms, the potential of its application in epidemiology, the study of host–pathogen interactions and drug designing widens. AI is now being applied in several fields of drug discovery, customized medicine, gene editing, radiography, image processing and medication management. More precise diagnosis and cost-effective treatment will be possible in the near future due to the application of AI-based technologies. In the field of agriculture, farmers have reduced waste, increased output and decreased the amount of time it takes to bring their goods to market due to the application of advanced AI-based approaches. Moreover, with the use of AI through machine learning (ML) and deep-learning-based smart programs, one can modify the metabolic pathways of living systems to obtain the best possible outputs with the minimal inputs. Such efforts can improve the industrial strains of microbial species to maximize the yield in the bio-based industrial setup. This article summarizes the potentials of AI and their application to several fields of biology, such as medicine, agriculture, and bio-based industry.

Proline Affects Flowering Time in Arabidopsis by Modulating FLC Expression: A Clue of Epigenetic Regulation?

The recent finding that proline-induced root elongation is mediated by reactive oxygen species (ROS) prompted us to re-evaluate other developmental processes modulated by proline, such as flowering time. By controlling the cellular redox status and the ROS distribution, proline could potentially affect the expression of transcriptional factors subjected to epigenetic regulation, such as FLOWERING LOCUS C (FLC). Accordingly, we investigated the effect of proline on flowering time in more detail by analyzing the relative expression of the main flowering time genes in p5cs1 p5cs2/P5CS2 proline-deficient mutants and found a significant upregulation of FLC expression. Moreover, proline-deficient mutants exhibited an adult vegetative phase shorter than wild-type samples, with a trichome distribution reminiscent of plants with high FLC expression. In addition, the vernalization-induced downregulation of FLC abolished the flowering delay of p5cs1 p5cs2/P5CS2, and mutants homozygous for p5cs1 and flc-7 and heterozygous for P5CS2 flowered as early as the flc-7 parental mutant, indicating that FLC acts downstream of P5CS1/P5CS2 and is necessary for proline-modulated flowering. The overall data indicate that the effects of proline on flowering time are mediated by FLC.

The genome and preliminary single-nuclei transcriptome of Lemna minuta reveals mechanisms of invasiveness

The ability to trace every cell in some model organisms has led to the fundamental understanding of development and cellular function. However, in plants the complexity of cell number, organ size, and developmental time makes this a challenge even in the diminutive model plant Arabidopsis (Arabidopsis thaliana). Duckweed, basal nongrass aquatic monocots, provide an opportunity to follow every cell of an entire plant due to their small size, reduced body plan, and fast clonal growth habit. Here we present a chromosome-resolved genome for the highly invasive Lesser Duckweed (Lemna minuta) and generate a preliminary cell atlas leveraging low cell coverage single-nuclei sequencing. We resolved the 360 megabase genome into 21 chromosomes, revealing a core nonredundant gene set with only the ancient tau whole-genome duplication shared with all monocots, and paralog expansion as a result of tandem duplications related to phytoremediation. Leveraging SMARTseq2 single-nuclei sequencing, which provided higher gene coverage yet lower cell count, we profiled 269 nuclei covering 36.9% (8,457) of the L. minuta transcriptome. Since molecular validation was not possible in this nonmodel plant, we leveraged gene orthology with model organism single-cell expression datasets, gene ontology, and cell trajectory analysis to define putative cell types. We found that the tissue that we computationally defined as mesophyll expressed high levels of elemental transport genes consistent with this tissue playing a role in L. minuta wastewater detoxification. The L. minuta genome and preliminary cell map provide a paradigm to decipher developmental genes and pathways for an entire plant.

Transcriptional loss of domestication-driven cytoskeletal GhPRF1 gene causes defective floral and fiber development in cotton (Gossypium)

Constitutive- and fiber-specific RNAi of GhPRF1 gene illustrated strong correlation between domestication-driven profilin genes and floral/fiber architecture in cotton. During morpho-transformation of short-fuzz of wild cotton into the elongating spinnable fibers under the millennia of human selection, actin-polymerizing cytoskeletal profilin genes had undergone significant sequence alterations and spatiotemporal shift in their transcription levels. To comprehend the expression dynamics of profilin genes with their phenotypic implications, transgenic expression modulation of cotton profilin 1 (GhPRF1) gene was performed in the constitutive- and fiber-specific manner in Coker 310FR cotton cultivar. The constitutive GhPRF1-RNAi lines (35S:GhPRF1-RNAi) exhibited distorted 'monadelphous' staminal-tube, reduced pollen-viability and poorly developed fibers, whereas floral and fiber development of fiber-specific GhPRF1-RNAi lines showed no abnormalities. Moreover, the fiber-specific GhPRF1 overexpression lines (FBP7:GhPRF1-Ox) showed increased emergence of fiber-initials on the ovule surface, on the contrary to no fiber-initials in fiber-specific RNAi lines (FBP7:GhPRF1-RNAi). Interestingly, the average seed weight and fiber weight of FBP7:GhPRF1-Ox lines increased > 60% and > 38%, respectively, compared with FBP7:GhPRF1-RNAi lines and untransformed control seeds. On a molecular basis, the aberrant floral and fiber development of 35S:GhPRF1-RNAi lines was largely associated with sugar metabolism and hormone-signaling mechanisms. These observations illustrated the strong correlation between domestication-driven GhPRF genes, and floral/fiber development in cotton. Also, the enhanced agronomic traits in GhPRF1-Ox lines of cotton empowered us to recognize their imperative roles, and their future deployment for the sustainable cotton crop improvement.

Interspersed 5'cis-regulatory elements ascertain the spatio-temporal transcription of cytoskeletal profilin gene family in Arabidopsis

Spatio-temporal expression patterns of cytoskeleton-associated profilin (PRF) family proteins in response to varied environmental stimuli are tightly regulated. Functional analyses of PRFs have revealed their crucial roles in varied developmental and stress related traits, but very little is implicit pertaining to cis-acting regulatory elements that regulate such intricate expression patterns. Here, we identified cis-elements with their varying distribution frequencies by scanning 1.5kbp upstream sequences of 5'regulatory regions of PRFs of dicot and monocot plant species. Predicted cis-elements in the regulatory sub-regions of Arabidopsis PRFs (AtPRFs) were predominantly associated with development-responsive motifs (DREs), light responsive elements (LREs), hormonal responsive elements (HREs), core motifs and stress-responsive elements (SREs). Interestingly, DREs, LREs and core promoter motifs, were extensively distributed up to the distal end of 5'regulatory regions on contrary to HREs present closer to the translational start site in Arabidopsis. The evolutionary footprints of predicted orthologous cis-elements were conserved, and preferably located in the proximal regions of 5'regulatory regions of evolutionarily diverged plant species. We also explored comprehensive tissue-specific global gene expression levels of PRFs under diverse hormonal and abiotic stress regimes. In response, the PRFs exhibited large transcriptional biases in a time- and organ-dependent manner. Further, the methodical elucidation of spatial expression analysis of predicted cis-elements binding transcription factors and relevant PRFs showed notable correlation. Results indicate that binding transcription factors' expression data is largely informative for envisaging their precise roles in the spatial regulation of target PRFs. These results highlight the importance of PRFs during plant development; and establish a relationship between their spatial expression patterns and presence of respective regulatory motifs in their promoter sequences. This information could be employed in future studies and field-utilization of cell wall structural genes.

Target-mimicry based diminution of miRNA167 reinforced flowering-time phenotypes in tobacco via spatial-transcriptional biases of flowering-associated miRNAs

Evolutionarily conserved microRNAs such as miR156, miR159, miR167 and miR172 tightly regulate the extensive array of gene expression during flowering in plants, through instant and long-term alterations in the expression of their target genes. Here we employed a novel target-mimicry approach for the diminution of auxin signalling regulator miRNA167 by developing mimic-transgenic lines in tobacco, to investigate the transcriptional biases of flowering-associated miRNAs in apical and floral meristematic tissues and their phenotypic implications. Recorded morpho-alterations such as uneven flowering-time phenotypes, anomalous floral organ formation, and large variations in the seed forming characteristics permitted us to determine the consequence of the extent of miR167 expression diminution accompanying the transcriptional biases of interrelated miRNAs. We demonstrate that percent diminution of miR167 gene expression is proportionally associated with both early and late flowering-time phenotypes in mimic lines. Also, the associated miRNAs, miR156, miR159, and miR172 showed >90% transcriptional diminution in at least 'early-flowering' miR167 mimic lines. On contrary, low percentages of their respective diminution were recorded in 'late-flowering' lines. Evidently, the misexpression of miR156, miR159, and miR172 led to the over-expression of their respective target genes SPL9, AtMYB33-like and AP2 genes in mimic lines which resulted in assorted phenotypes. We describe the scope of spatial regulation of these microRNAs in floral bud tissues of mimic lines which showed negative- or very low (<25%) misexpression levels in early/late-flowering lines highlighting their roles in the acquisition of flowering mechanism. To our knowledge, this study represents the first characterization of transcriptional biases of flowering associated miRNAs in miR167-mimic lines and certainly augments our understanding of the importance of microRNA-mediated regulation of flowering in plants.

Comparative proteomic analysis of eggplant (Solanum melongena L.) heterostylous pistil development

Heterostyly is a common floral polymorphism, but the proteomic basis of this trait is still largely unexplored. In this study, self- and cross-pollination of L-morph and S-morph flowers and comparison of embryo sac development in eggplant (Solanum melongena L.) suggested that lower fruit set from S-morph flowers results from stigma-pollen incompatibility. To explore the molecular mechanism underlying heterostyly development, we conducted isobaric tags for relative and absolute quantification (iTRAQ) proteomic analysis of eggplant pistils for L- and S-morph flowers. A total of 5,259 distinct proteins were identified during heterostyly development. Compared S-morph flowers with L-morph, we discovered 57 and 184 differentially expressed proteins (DEPs) during flower development and maturity, respectively. Quantitative real time polymerase chain reactions were used for nine genes to verify DEPs from the iTRAQ approach. During flower development, DEPs were mainly involved in morphogenesis, biosynthetic processes, and metabolic pathways. At flower maturity, DEPs primarily participated in biosynthetic processes, metabolic pathways, and the formation of ribosomes and proteasomes. Additionally, some proteins associated with senescence and programmed cell death were found to be upregulated in S-morph pistils, which may lead to the lower fruit set in S-morph flowers. Although the exact roles of these related proteins are not yet known, this was the first attempt to use an iTRAQ approach to analyze proteomes of heterostylous eggplant flowers, and these results will provide insights into biochemical events taking place during the development of heterostyly.

Recombinant overexpression of dihydroneopterin aldolase catalyst potentially regulates folate-biofortification

We aim to investigate the prospects of increased production of folate through the overexpression of heterologous dihydroneopterin aldolase catalyst. The gene encoding aldolase catalyst was cloned into an expression vector and the induced recombinant protein was purified through metal-affinity chromatography which appeared at 14 kDa position on polyacrylamide-gel. Remarkably, a periodic increase in the extracellular and intracellular folic acid concentration was observed at 4 h growth of induced recombinant DHNA samples than control in a pH-dependent manner. Maximum folate concentration was observed with at least twofold increase in induced recombinant samples at pH8.0 compared to the significant decline at 6 h growth. Consistently, heterologous overexpression of bacterial aldolase through Agrobacterium-mediated genetic transformation of tobacco led to more than 2.5-fold increase in the folate concentration in the transgenic leaves than control tissues. These data are veritable inspecting metabolic flux in both bacterial and plant systems, thus providing directions for future research on folate agri-fortification.

Evolutionary expansion and structural functionalism of the ancient family of profilin proteins

Structure and functional similarities of a recent protein's orthologs with its ancient counterpart are largely determined by the configuration of evolutionary preservation of amino acids. The emergence of genome sequencing databases allowed dissecting the evolutionarily important gene families at a comprehensive and genome-wide scale. The profilin multi-gene family is an ancient, universal, and functionally diverged across kingdoms, which regulates various aspects of cellular development in both prokarya and eukarya, especially cell-wall maintenance through actin sequestering, nucleation and cytokinesis. We performed a meta-analysis of the evolutionary expansion, structural conservation, evolution of function motifs, and transcriptional biases of profilin proteins across kingdoms. An exhaustive search of various genome databases of cyanobacteria, fungi, animalia and plantae kingdoms revealed 172 paralogous/orthologous profilins those were phylogenetically clustered in various groups. Orthologous gene comparisons indicated that segmental and tandem duplication events under strong purifying selection are predominantly responsible for their convoluted structural divergences. Evidently, structural divergences were more prevalent in the paralogs than orthologs, and evolutionary variations in the exon/intron architecture were accomplished by 'exon/intron-gain' and insertion/deletion during sequence-exonization. Remarkably, temporal expression evolution of profilin paralogs/homeologs during cotton fiber domestication provides evolutionary impressions of the selection of highly diverged transcript abundance notably in the fiber morpho-evolution. These results provide global insights into the profilin evolution, their structural design across taxa; and their future utilization in translational research.