Biology subjects

Singh, R. K.

Publications and source records attributed to Singh, R. K..

At least 19 recordsLinked to original sources

bioRxiv2026

Kinetochore Proteins CENPB and LIC2 are critical for Episome Persistence and Replication of Kaposis's Sarcoma-Associated Herpesvirus

Kaposi's sarcoma-associated herpesvirus (KSHV) establishes lifelong latency by maintaining its genome as circular episomes tethered to host chromatin and faithfully segregated during mitosis. This process is primarily mediated by the latency-associated nuclear antigen (LANA), which interacts with host chromosome-associated factors to ensure viral genome persistence. Several kinetochore proteins, including CENP-F, Bub1, BubR1, Aurora B, Survivin, and NuMA, have been implicated in this process, yet the broader contribution of kinetochore components remains poorly defined. We performed a systematic shRNA-based screen of the 37 host genes encoding kinetochore-associated proteins to evaluate their role in KSHV episome maintenance. We validated involvement of previously reported factors and identified Centromere Protein B (CENP-B) and Light Intermediate Chain 2 of the dynein complex (LIC2) as novel kinetochore-associated proteins critical for KSHV episome persistence. Loss of these proteins significantly reduced episome stability, highlighting previously unrecognized host-virus interactions at the chromosome segregation machinery. These findings identify critical host factors that expand the repertoire of kinetochore proteins co-opted by KSHV for episome maintenance and provide new mechanistic insights into how viral episomes exploit host chromosome segregation pathways for long-term persistence. Our work underscores kinetochore proteins as a broader class of host dependency factors in gamma-herpesvirus biology and suggests potential therapeutic targets for KSHV-associated malignancies.

microbiology↗

bioRxiv2026

CLARA: Compound Library Active Learning with Reasoning Agents

Batch active learning for ligand discovery requires a recurring decision about whether to exploit high predicted affinity, reduce model uncertainty, or broaden chemical coverage. We test whether a language model can make this strategy-level decision while candidate ranking and label revelation remain controlled by a deterministic Gaussian-process environment. Across four protein targets, ten paired seeds, and a 360-compound assay budget, a GPT-5.6 Sol agent outperformed random sampling in all 40 matched campaigns. Its final top-2\% recall was 0.412 on D2R, 0.374 on Mpro, 0.448 on TYK2, and 0.683 on USP7. It was statistically tied with the strongest fixed policy on Mpro and USP7 but underperformed target-specific leaders on D2R and TYK2. The agent shifted from exploration-oriented early batches toward exploitation and produced 686 testable threshold claims with an 86.3\% atomic success rate, although 19.8\% of forecasts were not numerically scorable. In 200 prespecified information-ablation campaigns, removing uncertainty, diversity, or memory caused only small endpoint changes, while shuffling explanatory evidence reproduced the full allocation path in 39 of 40 paired campaigns. A deterministic 80\% availability constraint reduced recall on every target but preserved the target-dependent pattern of wins and losses. These results support language-model strategy control as a feasible and auditable layer.

bioinformatics↗

bioRxiv2026

GRASP: Graph Representation Learning with Assay Supervision for Molecular Properties

Molecular structures are abundant, while experimental bioactivity is sparse and distributed across assays. We introduce GRASP, a 93.5M-parameter graph Transformer that learns from these sources in sequence. GRASP first learns molecular structure through replaced-token detection on 1.54 billion ZINC20 molecule presentations, then adapts to sparse bioactivity across 642 ChEMBL assays. Across 23 cluster-held-out OpenADMET endpoints, GRASP achieves a mean MAE of 0.374, compared with 0.383 for CheMeleon, 0.408 for ECFP4-LightGBM, and 0.440 for Chemprop. ChEMBL adaptation reduces mean MAE from 0.407 to 0.374 and improves 21 of 23 endpoints, showing the value of intermediate bioactivity supervision. On 22 TDC ADMET tasks, GRASP gives a better point estimate than CheMeleon on 13 tasks. These results support staged molecular representation learning, where abundant molecular structure and sparse experimental measurements provide complementary supervision at different stages of training.

bioinformatics↗

bioRxiv2026

Isoform-Specific Functions of p73 Drive Survival and Chemoresistance in Diffuse Large B-Cell Lymphoma

Diffuse large B-cell lymphoma (DLBCL) represents 30-40% of non-Hodgkin lymphoma cases and is curable in >60% of patients; however, approximately one-third ultimately relapse. Although prior studies in normal B cells and lymphoma models implicate p73 in B-cell lymphomagenesis, the functional role of individual p73 isoforms in DLBCL remains poorly defined. TP73, a TP53 family member located on chromosome 1p36, encodes both transcriptionally active (TAp73) and dominant-negative ({Delta}Np73) isoforms that differentially regulate apoptosis and proliferation. In this study, we characterized p73 locus alterations, isoform-specific expression patterns, and their biological relevance in DLBCL. Chromosomal analysis revealed disruption of the 1p36 locus--predominantly via heterozygous deletion--in 35% of patient samples, which significantly correlated with elevated {Delta}Np73 expression. Immunohistochemical profiling demonstrated a positive association between TAp73 and cleaved caspase-3, and between {Delta}Np73 and Ki-67. Conversely, TAp73 expression negatively correlated with the anti-apoptotic proteins Bcl-2 and Bcl-6. Functional studies in DLBCL cell lines further confirmed that TAp73 enhances sensitivity to serum deprivation and doxorubicin, whereas {Delta}Np73 overexpression promotes survival and chemoresistance. Together, these findings identify p73 isoform imbalance as a key contributor to DLBCL pathogenesis and therapeutic response, highlighting {Delta}Np73 as a potential biomarker of aggressive disease and treatment resistance, and TAp73 as a tumor-suppressive axis warranting further investigation. SummaryDiffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma, yet relapse remains a major challenge. The p73 gene produces two key isoforms with opposing functions: TAp73, which promotes apoptosis, and {Delta}Np73, which inhibits cell death and supports tumor growth. In DLBCL samples, 1p36 chromosomal disruption occurred in 35% of cases and was associated with elevated {Delta}Np73. TAp73 expression correlated with apoptosis markers, whereas {Delta}Np73 correlated with proliferation. Functional studies showed TAp73 sensitizes DLBCL cells to stress and chemotherapy, while {Delta}Np73 enhances resistance. These findings highlight {Delta}Np73 as a potential biomarker and therapeutic target in DLBCL.

pathology↗

bioRxiv2025

Florigen Activation Complex Dynamics and SVP-Mediated Repression Orchestrate Temperature-Regulated Flowering in Saffron

Saffron, a high-value spice cultivated worldwide for its therapeutic and culinary uses, is a sterile triploid species, rendering conventional breeding approaches ineffective. This limitation underscores the need for molecular and biotechnological strategies for its genetic improvement. Flowering, a key determinant of saffron yield, is strongly influenced by temperature; however, the genetic regulatory networks underlying this process remain poorly understood. Our study identifies key regulators of saffrons flowering, focusing on the Florigen Activation Complex (FAC) components: FLOWERING LOCUS T (FT), bZIP transcription factor FD, and TERMINAL FLOWER-1 (TFL-1), and demonstrate their temperature-dependent roles in floral regulation. Spatiotemporal expression analyses suggested that CsatFT3 and CsatFD2, expressed in the floral meristem promote floral induction, while CsatTFL1-3 acts as a floral repressor. Protein interaction studies showed that CsatFT3 and CsatTFL1-3 compete for binding to CsatFD2, and their balance modulates floral induction. Functional validation in Arabidopsis and Saffron confirmed these findings. Furthermore, we identified CsatSVP2, an ortholog of SHORT VEGETATIVE PHASE (SVP), as a low temperature-responsive repressor that directly binds the CsatFT3 promoter to inhibit its expression. Together, these findings enhance our understanding of temperature mediated floral induction in saffron and provide insights and lay the groundwork for genetic interventions to enhance yield under variable temperature conditions.

plant biology↗

bioRxiv2025

Unlocking the Power of CXCR2 Inhibition to Overcome Gemcitabine Resistance in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer-related mortality, characterized by intrinsic resistance to conventional therapies and limited effective treatment options. In this study, we investigated the role of the CXCR2 axis in PDAC therapy resistance. CXCR2, a chemokine receptor, is actively involved in inflammation, tumor angiogenesis, and metastasis. Our working hypothesis is that CXCR2 contributes to PDAC chemotherapy resistance. To test this, we generated gemcitabine-resistant (GemR) lines using T3M4 and CD18/HPAF (CD18) cell lines. Baseline expression of CXCL1, CXCL5, and CXCL8 ligands were higher in GemR cells compared to parental cells. Upon gemcitabine treatment, parental cells exhibited a greater increase in CXCL1 and CXCL8 expression than GemR cells. Further analysis in T3M4 cells revealed a dose- and time-dependent increase in CXCL1 and CXCL8 expression following gemcitabine exposure. Next, we assessed whether targeting CXCR2 could enhance the therapeutic response. We treated parental and GemR cell lines with gemcitabine in combination with the CXCR2 antagonist SCH 479833 (SCH 47). Notably, lower concentrations of gemcitabine combined with SCH 47 were more effective than higher concentrations of gemcitabine alone in GemR cell lines. In both parental and GemR xenograft models, combination therapy with Navarixin (a CXCR2 antagonist) and gemcitabine demonstrated superior antitumor and antimetastatic activity compared to either treatment alone. In conclusion, these findings highlight the critical role of the CXCR2 axis in PDAC therapy resistance. Targeting CXCR2 enhances gemcitabine efficacy, offering a potential therapeutic strategy to overcome resistance in PDAC.

cancer biology↗

bioRxiv2025

Engineering Escherichia coli FAD synthetase for the biosynthesis of FAD nucleotide analogues results in aminoglycoside antibiotic tolerance

Cofactors such as flavin adenine dinucleotide (FAD), nicotinamide adenine dinucleotide, coenzyme A, and S-adenosylmethionine cofactors share a common adenosine moiety that is generally not considered to contribute directly to catalysis. In FAD biosynthesis, the adenosine group is installed by the flavin mononucleotide adenylyltransferase (FMNAT) domain of the bifunctional FAD synthetase using FMN and ATP. This study explores the nucleotide selectivity of the Escherichia coli FMNAT domain and physiological effects of FAD nucleotide analogues synthesized with cellular nucleotides other than ATP. First, we engineer the FAD synthetase enzyme at an active site loop to produce FAD nucleotide analogues. Chromosomal substitution of the wild-type E. coli FAD synthetase with the mutated version results in the intracellular synthesis of these noncanonical FAD nucleotide analogues and confers tolerance to aminoglycoside antibiotics. Upon investigating their potential downstream metabolic roles, we find that their biosynthesis perturbs cellular metabolism and they could bind to a range of E. coli enzymes. These findings validate the FMNAT domain loop as a viable site for cofactor engineering, with potential for synthetic biology applications. Finally, the observed correlation between FAD analogue production and increased tolerance to aminoglycosides reveals novel metabolic mechanisms underlying antibiotic sensitivity.

microbiology↗

bioRxiv2025

Targeting the canonical ER stress IRE1α/XBP1 pathway counteracts pancreatic cancer-induced skeletal muscle wasting

Cancer-driven cachexia is a deleterious syndrome which involves progressive loss of skeletal muscle mass with or without fat loss, fatigue, and weakness that cannot be reversed by nutritional intake. Recent studies have shown deregulation of endoplasmic reticulum (ER)-induced unfolded protein response (UPR) pathways in skeletal muscle in various catabolic conditions, including cancer growth. However, the role of individual arms of the UPR in the regulation of muscle mass remains poorly understood. Here, we demonstrate that the IRE1/XBP1 arm of the UPR stimulates the activation of ubiquitin-proteasome system, autophagy, JAK-STAT3 signaling, and fatty acid metabolism in skeletal muscle of the KPC mouse model of pancreatic cancer cachexia. Furthermore, our results show that IRE1/XBP1 pathway is a key contributor to cachexia as targeted ablation of XBP1 transcription factor in mouse skeletal muscle inhibits KPC tumor-induced muscle wasting. Transcriptionally active XBP1 protein binds to the promoter region of multiple genes, such as Map1lc3b, Fbxo32, and Il6, whose products are involved in skeletal muscle wasting. Treatment of KPC tumor-bearing mice with 4{micro}8C, a small molecule IRE1 inhibitor, reverses cachexia-induced molecular changes and improves skeletal muscle mass and strength. Altogether, our study highlights that the IRE1/XBP1 signaling axis mediates pancreatic cancer-induced muscle wasting and inhibition of this pathway could be a potential approach to mitigate muscle wasting in pancreatic cancer patients.

physiology↗

bioRxiv2025

IL-1β/IRAK4 Axis Promotes Ovarian Tumor Development at the Mesothelium Injury Sites

Epithelial ovarian cancer (EOC) cells seed at mesothelial inflammation or injury sites. Lack of animal models recapitulating tumor cells seeding at inflamed sites in EOC hinders mechanistic studies and therapy developments. Here, we developed a non-surgical MIM (Mesothelium Inflammation/Injury Metastasis) model that recapitulates tumor cell seeding at inflamed sites. This model captures temporal changes in tumor immune microenvironment and tumor growth allowing for deeper mechanistic and preclinical therapeutic studies of EOC in-vivo. We show here that HGS-3 high-grade murine serous EOC cells seed at needle-induced injury sites in mesothelium/peritoneal wall, forming tumors both internally and protruding outward. Using MIM model, we found that deletion of IL1R1 in mice reduced EOC cell seeding at mesothelium injury/inflamed site in WT but not IL1ra-deficient mice. Treatment of MiM mice with a novel IRAK4 inhibitor we recently developed (UR241-2) revealed an essential role for IRAK4 signaling downstream IL-1{beta}/IL-1R1 in fostering an anti-tumor inflammatory environment, and reduced tumor burden. We conclude that IRAK4 inhibitors can be more effective than IL-1/IL-1R1 targeting agents to control metastasis and peritoneal tumors, an unmet medical need in EOC recurrence. Downregulation of extracellular matrix (ECM), upregulation of neutrophil activation genes, reduced cell adhesion and migration exhibit how UR241-2 corrects ECM and immune disorders in EOC, making it less conducive to metastasis and tumorigenesis.

cancer biology↗

bioRxiv2025

Sequence-dependent co-condensation of Lsr2 with DNA elucidates the mechanism of genome compaction in Mycobacterium tuberculosis

The xenogeneic silencer protein Lsr2 from Mycobacterium tuberculosis plays a critical role in its survival and pathogenesis. Lsr2 is a nucleoid-associated protein that interacts with DNA in vivo and regulates many genes. Purified Lsr2 forms nucleoprotein filaments with DNA molecules leading to highly compacted DNA conformations. However, the physical mechanism underlying Lsr2-mediated DNA compaction, resulting in gene regulation, remains elusive. We employed a combination of biochemical assay, single-molecule imaging, and molecular dynamics simulations to investigate the governing principles of Lsr2-mediated DNA compaction. We show that, while Lsr2 alone undergoes phase separation, addition of DNA substantially lowers the required concentration for its phase separation. Strikingly, our single-molecule and simulation data establish that Lsr2 forms condensates with long stretches of AT-rich DNA, providing strong evidence for sequence-dependent co-condensation. This observation is contrary to the classical view of sequence-dependent binding of individual protein molecules to DNA, our findings rather suggest that protein-DNA co-condensates sense the average binding energy landscape. We present a physical model for Lsr2-mediated DNA compaction and gene regulation, describing a novel mechanism for NAP-mediated genome organization in bacteria.

biophysics↗

bioRxiv2024

Targeting IL-1/IRAK1/4 signaling in Acute Myeloid Leukemia Stem Cells Following Treatment and Relapse

Therapies for acute myeloid leukemia (AML) face formidable challenges due to relapse, often driven by leukemia stem cells (LSCs). Strategies targeting LSCs hold promise for enhancing outcomes, yet paired comparisons of functionally defined LSCs at diagnosis and relapse remain underexplored. We present transcriptome analyses of functionally defined LSC populations at diagnosis and relapse, revealing significant alterations in IL-1 signaling. Interleukin-1 receptor type I (IL1R1) and interleukin-1 receptor accessory protein (IL1RAP) were notably upregulated in leukemia stem and progenitor cells at both diagnosis and relapse. Knockdown of IL1R1 and IL1RAP reduced the clonogenicity and/or engraftment of primary human AML cells. In leukemic MLL-AF9 mice, Il1r1 knockout reduced LSC frequency and extended survival. To target IL-1 signaling at both diagnosis and relapse, we developed UR241-2, a novel interleukin-1 receptor-associated kinase 1 and 4 (IRAK1/4) inhibitor. UR241-2 robustly suppressed IL-1/IRAK1/4 signaling, including NF-{kappa}B activation and phosphorylation of p65 and p38, following IL-1 stimulation. UR241-2 selectively inhibited LSC clonogenicity in primary human AML cells at both diagnosis and relapse, while sparing normal hematopoietic stem and progenitor cells. It also reduced AML engraftment in leukemic mice. Our findings highlight the therapeutic potential of UR241-2 in targeting IL-1/IRAK1/4 signaling to eradicate LSCs and improve AML outcomes.

cancer biology↗

bioRxiv2024

Polyelectrolyte mannan from diatoms reshapes sunlit ocean microbiome

Diatoms are a keystone phylum in Earths ecosystems, specializing in oxygen production and carbohydrate fixation that fuels global food webs. Diatoms host a microbiome, but how they preferentially collect bacteria with complementary traits remains unknown. Here we show that diatoms exude a C6-sulfated -1,3-mannan that serves as a selective carbon source for adapted bacteria. Its structure was resolved by NMR spectroscopy, chromatography, chemical synthesis, and enzymatic dissection. Biochemical, physiological, and structural analyses revealed that specialized Bacteroidota employ a four-enzyme pathway to metabolize this mannan. Metagenomic and transcriptomic data indicate that the mannan globally selects for bacteria carrying these enzymes and associated traits. Because the mannan provides only carbon, oxygen, sulfur, and hydrogen, bacteria must obtain other essential elements from alternative sources, reinforcing metabolic interdependence. We propose that diatoms use sulfated mannans to attract beneficial partners and exclude competitors, thereby engineering a microbiome that enhances their productivity and underpins carbon cycling. Significance statementEukaryotes host microbial partners that shape their health, yet how they selectively assemble beneficial microbes remains unclear. Using diatom microalgae as a model, we show they exude a sulfated mannan that nourishes highly adapted bacteria tracking them across the global ocean. Our findings suggest that single-celled eukaryotes can "domesticate" prokaryotes--analogous to how humans have domesticated animals--albeit on a microscopic scale. Dominating much of Earths aquatic surface, diatoms drive [~]20% of global photosynthesis. We propose that sulfated mannan contributes to this success by helping diatoms shape microbial partnerships that underpin planetary energy balance and atmospheric chemistry.

ecology↗

bioRxiv2024

System genomics of salinity stress response in rice

Populations can adapt to stressful environments through changes in gene expression. However, the fitness effect of gene expression in mediating stress response and adaptation remains largely unexplored. Here, we use an integrative field dataset obtained from 780 plants of Oryza sativa ssp. indica (rice) grown in a field experiment under normal or moderate salt stress conditions to examine selection and evolution of gene expression variation under salinity stress conditions. We find that salinity stress induces increased selective pressure on gene expression. Further, we show that trans-eQTLs rather than cis-eQTLs are primarily associated with rices gene expression under salinity stress, potentially via a few master-regulators. Importantly, and contrary to the expectations, we find that cis-trans reinforcement is more common than cis-trans compensation which may be reflective of rice diversification subsequent to domestication. We further identify genetic fixation as the likely mechanism underlying this compensation/reinforcement. Additionally, we show that cis- and trans-eQTLs are under balancing and purifying selection, respectively, giving us insights into the evolutionary dynamics of gene expression variation. By examining genomic, transcriptomic, and phenotypic variation across a rice population, we gain insights into the molecular and genetic landscape underlying adaptive salinity stress responses, which is relevant for other crops and other stresses.

systems biology↗

bioRxiv2024

DNA barcode developement based on chloroplast and ITS genes for species identification of endangered and threated species of Western Ghats, India

Accurate identification is crucial for conserving species, especially in regions such as the Western Ghats, where trade poses a significant threat to endangered and threatened forest species. Traditional morphology-based identification can be challenging and time-consuming, leading to inaccuracies, especially with similar-looking species or dried specimens. Therefore, DNA barcoding offers a potent solution for precise species identification to address illicit trade and address impactful conservation measures. DNA barcoding is a taxonomic technique that uses standardized short DNA sequences to differentiate and classify species. This approach is especially valuable when morphological characteristics alone are insufficient for accurate species identification. In this study, we focused on the development of a DNA barcoding system for the efficient and accurate identification of threatened and endangered important forest species of Western Ghats Karnataka. To develop the DNA barcoding system, a multilocus approach utilizing sixteen standard DNA barcoding markers was used. A total of 47 threatened and endangered forest species from the Western Ghats were selected for this study. Using a larger number of markers to develop DNA barcodes led to the most precise species identification rates. Moreover, the wide availability of DNA barcode databases allows for quick and accurate species identification. In our study, we observed the highest amplification rates for rbcL1 (40 species), psbtrnH2 (36 species), and PsbA-trnH1 (33 species). DNA amplification varied from 11.76% to 94.11%. Notably, the highest DNA amplification rates were detected for A. wightii (94.11%) and A. hondala (92.34%), both of which belong to the Arecaceae and Passifloraceae families, respectively. Sequencing success rates ranged from 37.5% to 100%. This study will aid in the development of a database of available threatened forest species in western Ghats Karnataka and other regions.

plant biology↗

bioRxiv2024

Decoding the role of DNA sequence on protein-DNA co-condensation

The eukaryotic genome is organized within the cell nucleus through three-dimensional compaction. The physical principles that govern genome organization in vivo remain less understood. Phase separation of protein and DNA has emerged as an attractive mechanism for reshaping chromatin and compacting the genome. In vitro studies have shed light on the biophysical principles of protein-DNA condensates driven by protein-protein and protein-DNA interactions. However, the role of DNA sequence and its impact on protein-DNA condensation remains elusive. Guided by experiments, this paper presents a simple polymer-based model of protein-mediated DNA condensation that explicitly incorporates the influence of DNA sequence on protein binding. Using coarse-grained Brownian dynamics simulations, we demonstrate that, in the case of a homogeneous DNA, only one condensate forms in equilibrium. In sharp contrast, DNA sequence heterogeneity can result in the coexistence of multiple condensates, giving rise to the formation of structures resembling pearl-necklaces. Interestingly, we observe that protein binding affinity of interfacial DNA governs the capillary forces arising from the protein-DNA condensates. To demonstrate the usefulness of our modeling framework, we compare the simulation results against published data for co-condensation of Dps, Sox2, and HP1. We find that while Dps exhibits sequence-independent binding, DNA sequence heterogeneity dictates the co-condensation of Sox2 and HP1 with DNA. Overall, the framework developed here can be harnessed to gain mechanistic insights into the role of DNA sequence on protein-DNA co-condensation and pave the way for developing a deeper understanding of genome organisation.

biophysics↗

bioRxiv2023

LRMP inhibits the cAMP-dependence of HCN4 channels by disrupting intramolecular signal transduction

Lymphoid restricted membrane protein (LRMP) is a specific regulator of the hyperpolarization-activated cyclic nucleotide-sensitive isoform 4 (HCN4) channel. LRMP prevents cAMP-dependent potentiation of HCN4 but the interaction domains, mechanisms of action, and basis for isoform-specificity remain unknown. Here we identify the domains of LRMP essential for regulation. We show that LRMP acts by disrupting the intramolecular signal transduction between cyclic nucleotide binding and gating. And we demonstrate that multiple unique regions in HCN4 are required for LRMP isoform-specificity. Using patch clamp electrophysiology and Forster resonance energy transfer (FRET), we showed that the initial 227 residues of LRMP and the N-terminus of HCN4 are necessary for LRMP to interact with HCN4. We found that the HCN4 N-terminus and HCN4-specific residues in the C-linker are necessary for regulation of HCN4 by LRMP. And we demonstrate that LRMP-regulation can be conferred to HCN2 by addition of the HCN4 N-terminus along with mutation of 5 residues in the S5 region and C-linker to the cognate HCN4 residues. Taken together, these results suggest that LRMP inhibits HCN4 through an isoform-specific interaction involving the N-terminals of both proteins that prevents the transduction of cAMP binding into a change in channel gating via an HCN4-specific orientation of the N-terminus, C-linker, and S4-S5 linker.

biophysics↗

bioRxiv2023

Fluorogenesis: Inducing Fluorescence in a Non-Fluorescent Protein Through Photoinduced Chromophore Transfer of a Genetically Encoded Chromophore

Fluorescent proteins, while essential for bioimaging, are limited to visualizing cellular localization without offering additional functionality. We report for the first time a strategy to expand the chemical, structural, and functional diversity of fluorescent proteins by harnessing light to induce red fluorescence in a previously non-fluorescent protein. We accomplish this by inducing the transfer of the genetically encoded chromophore from a photocleavable protein (PhoCl1) to a non-fluorescent kinase (MjRibK) inducing red fluorescence in the latter. We have employed analytical and spectroscopic techniques to validate the presence of red fluorescence in MjRibK. Furthermore, molecular dynamics simulations were carried out to investigate the amino acid residues of MjRibK involved in the generation of red fluorescence. Finally, we demonstrate the ability of the red fluorescent MjRibK to operate as a cyclable high-temperature sensor. We anticipate that this light-induced chromophore transfer strategy will open new possibilities for developing multifunctional genetically encoded fluorescent sensors.

biochemistry↗

bioRxiv2023

Genetic Gains in IRRIs Rice Salinity Breeding and Elite Panel Development as a Future Breeding Resource

Genetic gain is a crucial parameter to check the breeding programs success and help optimize future breeding strategies for enhanced genetic gains. In this work, IRRIs historical data from the Philippines and Bangladesh of the salinity breeding program was used to estimate the genetic gains and identify the best lines based on higher breeding values for yield as a future genetic resource. Two-stage mixed-model approach accounting for experimental design factors and pedigrees was adopted to obtain the breeding values for yield and estimate genetic trends under the salinity conditions. A positive genetic trend of 0.1% per annum with a yield advantage of 1.52 kg/ha for the Philippines and 0.31% per annum with a yield advantage of 14.02 kg/ha for Bangladesh datasets was observed. For the released varieties, genetic gain was 0.12% per annum with a yield advantage of 2.2 kg/ha/year and 0.14% per annum with a yield advantage of 5.9 kg/ha/year, respectively. Further, based on higher breeding values for grain yield, a core set of the top 145 genotypes with higher breeding values of >2400 kg/ha in the Philippines and >3500 kg/ha in Bangladesh with a selection accuracy >0.4 were selected for formulating the elite breeding panel as a future breeding resource. Conclusively, higher genetic gains are pivotal in IRRIs rice salinity breeding program, which requires a holistic breeding approach with a major paradigm shift in breeding strategies to enhance genetic gains. Key MessageEstimating genetic gains and formulating a future salinity elite breeding panel for rice pave the way for developing better high-yielding salinity tolerant lines with enhanced genetic gains.

genetics↗