Transcription factor OsSHR2 regulates rice architecture and yield per plant in response to nitrogen.

MAIN CONCLUSION: Mutation of OsSHR2 adversely impacted root and shoot growth and impaired plant response to N conditions, further reducing the yield per plant. Nitrogen (N) is a crucial factor that regulates the plant architecture. There is still a lack of research on it. In our study, it was observed that the knockout of the SHORTROOT 2 (OsSHR2) which was induced by N deficiency, can significantly affect the regulation of plant architecture response to N in rice. Under N deficiency, the mutation of OsSHR2 significantly reduced root growth, and impaired the sensitivity of the root meristem length to N deficiency. The mutants were found to have approximately a 15% reduction in plant height compared to wild type. But mutants showed a significant increase in tillering at post-heading stage, approximately 26% more than the wild type, particularly in high N conditions. In addition, due to reduced seed setting rate and 1000-grain weight, mutant yield was significantly decreased by approximately 33% under low N fertilizer supply. The mutation also changed the distribution of N between the vegetative and reproductive organs. Our findings suggest that the transcription factor OsSHR2 plays a regulatory role in the response of plant architecture and yield per plant to N in rice.

Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat.

KEY MESSAGE: The integration of genomic prediction with crop growth models enabled the estimation of missing environmental variables which improved the prediction accuracy of grain yield. Since the invention of whole-genome prediction (WGP) more than two decades ago, breeding programmes have established extensive reference populations that are cultivated under diverse environmental conditions. The introduction of the CGM-WGP model, which integrates crop growth models (CGM) with WGP, has expanded the applications of WGP to the prediction of unphenotyped traits in untested environments, including future climates. However, CGMs require multiple seasonal environmental records, unlike WGP, which makes CGM-WGP less accurate when applied to historical reference populations that lack crucial environmental inputs. Here, we investigated the ability of CGM-WGP to approximate missing environmental variables to improve prediction accuracy. Two environmental variables in a wheat CGM, initial soil water content (InitlSoilWCont) and initial nitrate profile, were sampled from different normal distributions separately or jointly in each iteration within the CGM-WGP algorithm. Our results showed that sampling InitlSoilWCont alone gave the best results and improved the prediction accuracy of grain number by 0.07, yield by 0.06 and protein content by 0.03. When using the sampled InitlSoilWCont values as an input for the traditional CGM, the average narrow-sense heritability of the genotype-specific parameters (GSPs) improved by 0.05, with GNSlope, PreAnthRes, and VernSen showing the greatest improvements. Moreover, the root mean square of errors for grain number and yield was reduced by about 7% for CGM and 31% for CGM-WGP when using the sampled InitlSoilWCont values. Our results demonstrate the advantage of sampling missing environmental variables in CGM-WGP to improve prediction accuracy and increase the size of the reference population by enabling the utilisation of historical data that are missing environmental records.

A study on expression of programmed death ligand-1 in small cell lung carcinoma and correlation with clinicopathological parameters.

Small cell lung carcinoma (SCLC) is characterized by rapid growth and an aggressive clinical course. Standard therapy regimes have limited effects on disease course; therefore the prognosis of SCLC is poor. In the current study, the frequency of programmed death ligand 1 (PD-L1) expression in SCLC and its correlation with clinico-pathological features were evaluated. The study included 100 cases of SCLC wherein testing for PD-L1 was done with the SP263 clone on the Ventana benchmark XT system. Cases with > 1% PD-L1 expression in tumour cells or immune cells were categorized as positive. PD-L1 expression was identified in 14% of cases using the cut-off of ≥ 1%. The tumour proportion score was 10% and the immune proportion score was 9.78% using a cut-off of ≥ 1%. PD-L1 positive expression was more frequent in the male population with age > 40 years. All the patients with positive PD-L1 expression were smokers. In the PD-L1 positive group, presence of necrosis was identified in 71.4% of cases and when compared with the PD-L1 negative subgroup this finding was statistically significant (p = 0.010). Personalized targeted therapy for cases of SCLC is still under evaluation. The use of immunotherapeutic targets, such as PD-L1, may help to define a new treatment strategy for SCLC. Development of new treatment strategies may improve prognosis and survival.

Using genomic prediction with crop growth models enables the prediction of associated traits in wheat.

Crop growth models (CGM) can predict the performance of a cultivar in untested environments by sampling genotype-specific parameters. As they cannot predict the performance of new cultivars, it has been proposed to integrate CGMs with whole genome prediction (WGP) to combine the benefits of both models. Here, we used a CGM-WGP model to predict the performance of new wheat (Triticum aestivum) genotypes. The CGM was designed to predict phenology, nitrogen, and biomass traits. The CGM-WGP model simulated more heritable GSPs compared with the CGM and gave smaller errors for the observed phenotypes. The WGP model performed better when predicting yield, grain number, and grain protein content, but showed comparable performance to the CGM-WGP model for heading and physiological maturity dates. However, the CGM-WGP model was able to predict unobserved traits (for which there were no phenotypic records in the reference population). The CGM-WGP model also showed superior performance when predicting unrelated individuals that clustered separately from the reference population. Our results demonstrate new advantages for CGM-WGP modelling and suggest future efforts should focus on calibrating CGM-WGP models using high-throughput phenotypic measures that are cheaper and less laborious to collect.

Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: a case study in wheat phenology.

Running crop growth models (CGM) coupled with whole genome prediction (WGP) as a CGM-WGP model introduces environmental information to WGP and genomic relatedness information to the genotype-specific parameters modelled through CGMs. Previous studies have primarily used CGM-WGP to infer prediction accuracy without exploring its potential to enhance CGM and WGP. Here, we implemented a heading and maturity date wheat phenology model within a CGM-WGP framework and compared it with CGM and WGP. The CGM-WGP resulted in more heritable genotype-specific parameters with more biologically realistic correlation structures between genotype-specific parameters and phenology traits compared with CGM-modelled genotype-specific parameters that reflected the correlation of measured phenotypes. Another advantage of CGM-WGP is the ability to infer accurate prediction with much smaller and less diverse reference data compared with that required for CGM. A genome-wide association analysis linked the genotype-specific parameters from the CGM-WGP model to nine significant phenology loci including Vrn-A1 and the three PPD1 genes, which were not detected for CGM-modelled genotype-specific parameters. Selection on genotype-specific parameters could be simpler than on observed phenotypes. For example, thermal time traits are theoretically more independent candidates, compared with the highly correlated heading and maturity dates, which could be used to achieve an environment-specific optimal flowering period. CGM-WGP combines the advantages of CGM and WGP to predict more accurate phenotypes for new genotypes under alternative or future environmental conditions.

Evaluation of mandibular advancement device placement based on levels of TNF-alpha in participants with obstructive sleep apnea: A clinical study.

STATEMENT OF PROBLEM: Objective assessments of the effect of mandibular advancement device on patients with obstructive sleep apnea are lacking. PURPOSE: The purpose of this clinical study was to compare levels of serum tumor necrosis factor alpha (TNF-alpha), Epworth Sleepiness Scale score, and Berlin Questionnaire score in patients with mild to moderate obstructive sleep apnea before and after treatment with a mandibular advancement device. MATERIAL AND METHODS: Twenty participants diagnosed with mild to moderate obstructive sleep apnea based on polysomnography testing were enrolled. A custom nonadjustable mandibular advancement device with 70% mandibular protrusion was provided for each participant for management of the obstructive sleep apnea. Evaluation of TNF-alpha levels was performed before treatment (baseline) and 3 and 6 months after starting mandibular advancement device therapy by using a Human TNF-alpha enzyme-linked immunoassay (ELISA) sandwich kit. The Epworth Sleepiness Scale and Berlin Questionnaire were also filled out by the participants at the same time intervals (α=.05). RESULTS: A statistically significant decline in the levels of TNF-alpha was observed at 3 and 6 months compared with baseline (P<.001). The Epworth Sleepiness Scale scores showed a statistically significant reduction at 3 and 6 months compared with baseline (P<.001). The risk of obstructive sleep apnea assessed by using the Berlin Questionnaire was found to be significantly reduced at 6 months compared with baseline (P=.001). CONCLUSIONS: Patients with mild to moderate obstructive sleep apnea showed reduced levels of TNF-alpha and Epworth Sleepiness Scale and Berlin Questionnaire scores when treated with a mandibular advancement device.

Paradoxical reaction in peripheral lymph node tuberculosis: a review for its prevalence, clinical characteristics, and possible treatment.

The paradoxical reaction (PR) is a transient worsening following tuberculosis treatment and it is not uncommon in lymph node tuberculosis (LNTB). PR in LNTB maybe  wrongly considered as treatment failure or relapse. This review was undertaken to address various aspects of PR associated with lymph node tuberculosis prevalence, underlying mechanism, clinical pattern, predictors, and possible treatment in an immunocompetent individual. A literature review was performed using various databases (PubMed, Scopus, Science Direct, and Google Scholar) to identify relevant articles for review. The prevalence of paradoxical reactions associated with LNTB varies from as low as 13.3% to as high as 35.3%  PR may occur during antitubercular treatment or be reported even after completion of treatment called post-therapy PR. An onset of PR may occur within a month of therapy to even 12 months from the initiation of an anti-tubercular drug. Delayed hypersensitivity reaction and reduction in immune suppression is believed to be possible mechanism leading to a paradoxical reaction. PR in LNTB is characterized by either progression of pre-existing nodal enlargement or formation of abscess, sinus formation, or appearance of new nodal enlargement or rarely extra-nodal involvement. PR is a diagnosis of exclusion and may show granuloma, positive AFB smear, or positive GeneXpert but AFB culture is always negative. Younger age, lymph node size of equal to or more than 3 cm, female gender, unilateral lymphadenopathy, and those with positive AFB on initial examination are predictors for PR in peripheral LNTB. The majority of PR in LNTB have a mild course and are generally self-limited.

A Historical Perspective on Chronic Obstructive Pulmonary Disease: From Past to Present.

René-Théophile-Hyacinthe Laennec in his book "Treatise of the Diseases of the Chest" discussed the emphysema in 1821. Chronic obstructive pulmonary disease (COPD) has been around for at least 202 years, from 1821 to 2023 (but the disease itself is much older than that). It is believed that William Briscoe first used the term COPD in June 1965, at the 9th Aspen Emphysema Conference. COPD was first defined by the CIBA guest symposium in 1959 and the American Thoracic Society Committee on Diagnostic Standards in 1962; recent definition of COPD was released by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) report 2023. In 1990, it was sixth leading cause of death and in 2020 COPD becomes third leading cause of death. GOLD update 2023 also proposed taxonomy (etiotypes), classification of COPD based on risk factors, and ABE assessment tool for COPD. Now concept of early-COPD, pre-COPD, and, mild-COPD are also emerging, which are helpful in better understanding of COPD. Here, we have discussed historical landmarks, definition, burden, taxonomy, classification, different concept of disease, ABE assessment tool, personalized medicine, and brief description of GOLD and World COPD Day from past to present.

Nanoencapsulation of Docetaxel Induces Concurrent Apoptosis and Necroptosis in Human Oral Cancer Cells (SCC-9) via TNF-α/RIP1/RIP3 Pathway.

Human oral squamous cell carcinoma is the sixth most frequent malignant cancer, with an unacceptably high death rate that affects people's health. Albeit, there are several clinical approaches for diagnosing and treating oral cancer they are still far from ideal. We previously synthesised and characterised the docetaxel nanoformulation (PLGA-Dtx) and discovered that docetaxel nanoencapsulation may suppress oral cancer cells. The goal of this study was to figure out the mechanism involved in the suppression of oral cancer cell proliferation. We discovered that PLGA-Dtx inhibited SCC-9 cell growth considerably as compared to free docetaxel (Dtx), and that the viability of SCC-9 cells treated with PLGA-Dtx was decreased dose-dependently. MTT assay showed that PLGA-Dtx selectively inhibited the growth of PBMCs from oral cancer patients while sparing PBMCs from normal healthy controls. Further, flow cytometry analysis showed that PLGA-Dtx induced apoptosis and necroptosis in SCC-9 cells. G2/M cell cycle arrest has been confirmed on exposure of PLGA-Dtx for 24 h in SCC-9 cells. Interestingly, western blot investigation found that PLGA-Dtx increased the amounts of necroptic proteins and apoptosis-related proteins more efficiently than Dtx. Furthermore, PLGA-Dtx was more effective in terms of ROS generation, and mitochondrial membrane potential depletion. Pretreatment with necroptosis inhibitor Nec-1 efficiently reversed the ROS production and further recover MMP caused by PLGA-Dtx. Overall, this study revealed a mechanistic model of therapeutic response for PLGA-Dtx in SCC-9 cells and proposed its potency by inducing cell death via activation of concurrent apoptosis and necroptosis in SCC-9 cells via TNF-α/RIP1/RIP3 and caspase-dependent pathway.

Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high-throughput plant phenotyping.

Hyperspectral vegetation indices (VIs) are widely deployed in agriculture remote sensing and plant phenotyping to estimate plant biophysical and biochemical traits. However, existing VIs consist mainly of simple two-band indices that limit the net performance and often do not generalise well for traits other than those for which they were originally designed. We present an automated hyperspectral vegetation index (AutoVI) system for the rapid generation of novel two- to six-band trait-specific indices in a streamlined process covering model selection, optimisation and evaluation, driven by the tree parzen estimator algorithm. Its performance was tested in generating novel indices to estimate chlorophyll and sugar contents in wheat. Results showed that AutoVI can rapidly generate complex novel VIs (at least a four-band index) that correlated strongly (R2  > 0.8) with measured chlorophyll and sugar contents in wheat. Automated hyperspectral vegetation index-derived indices were used as features in simple and stepwise multiple linear regressions for chlorophyll and sugar content estimation, and outperformed the results achieved with the existing 47 VIs and those provided using partial least squares regression. The AutoVI system can deliver novel trait-specific VIs readily adoptable to high-throughput plant phenotyping platforms and should appeal to plant scientists and breeders. A graphical user interface for the AutoVI is provided here.

Oxidative stress and ER stress are related to severity of tubercular infection.

To report the markers of oxidative stress and endoplasmic reticulum (ER) stress in tuberculosis of differing severity. Ninety patients with tuberculosis, 30 each with pulmonary tuberculosis (PTB), Pott's spine (PS) and tuberculous meningitis (TBM) were included. The diagnosis and severity of the respective group was based on pre-defined criteria. Six-months outcome and complications (Hyponatremia, paradoxical worsening and Drug induced hepatitis(DIH)) were recorded. Serum Melanodehyde (MDA) , glutathione (GSH), total antioxidant capacity (TAC), ER stress markers ATF-4,GRP-78 and CHOP, were measured using spectrophotometry and real time PCR. The oxidative and ER stress markers were correlated with different subgroups, severity of TBM, complications and outcome. The severity of TBM correlated with alteration in oxidative and ER stress markers. MDA was related to hyponatremia (P = 0.045), paradoxical worsening (P = 0.035) and DIH (P = 0.038), TAC correlated with paradoxical worsening (P = 0.047) and DIH (P = 0.015). In PS, MDA correlated with paradoxical worsening (P = 0.032) and DIH (P = 0.032); and in PTB, MDA correlated with hyponatremia (P = 0.025) and DIH (P = 0.037). Changes in stress marker levels were more marked in TBM compared to PS and PTB. Outcome of TBM correlated with MDA (P = 0.002), PS to MDA(P = 0.004), TAC(P = 0.05) CHOP(P = 0.004), GRP78(P = 0.001), ATF4(P = 0.045) and PTB to MDA(P = 0.0450), TAC(P = 0.014), CHOP(P = 0.025) and GRP78(P = 0.035). Oxidative and ER stress markers seem to be related to severity of TB, its complications and outcome.

Genome-wide association studies dissect the G × E interaction for agronomic traits in a worldwide collection of safflowers (Carthamus tinctorius L.).

Genome-wide association studies were conducted using a globally diverse safflower (Carthamus tinctorius L.) Genebank collection for grain yield (YP), days to flowering (DF), plant height (PH), 500 seed weight (SW), seed oil content (OL), and crude protein content (PR) in four environments (sites) that differed in water availability. Phenotypic variation was observed for all traits. YP exhibited low overall genetic correlations (rGoverall) across sites, while SW and OL had high rGoverall and high pairwise genetic correlations (rGij) across all pairwise sites. In total, 92 marker-trait associations (MTAs) were identified using three methods, single locus genome-wide association studies (GWAS) using a mixed linear model (MLM), the Bayesian multi-locus method (BayesR), and meta-GWAS. MTAs with large effects across all sites were detected for OL, SW, and PR, and MTAs specific for the different water stress sites were identified for all traits. Five MTAs were associated with multiple traits; 4 of 5 MTAs were variously associated with the three traits of SW, OL, and PR. This study provided insights into the phenotypic variability and genetic architecture of important safflower agronomic traits under different environments. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01295-8.

Renin, antidiuretic hormone (ADH), and ADH receptor levels in cerebral salt wasting associated with tuberculous meningitis.

BACKGROUND: To evaluate serum antidiuretic hormone (ADH), its receptors, and renin levels in cerebral salt wasting (CSW) in tuberculous meningitis (TBM). METHODS: Patients diagnosed with definite (n = 30) or probable TBM (n = 47) who developed hyponatremia (CSW, SIADH, or miscellaneous causes) were included. Sequential measurement of serum ADH, ADH-R, and renin activity by enzyme-linked immunosorbent assay was done and correlated with serum sodium level, urinary output, and fluid balance. RESULTS: Out of 79 TBM patients, CSW was observed in 36, SIADH in four, and miscellaneous hyponatremia in eight patients. CSW patients had a longer hospital stay (P < 0.001), lower GCS score (P < 0.007), higher MRC grade (P < 0.007), and a lower serum Na (P < 0.001) compared to non-CSW TBM patients. In severe CSW patients, serum ADH and ADH-R were correlated with hyponatremia and returned to baseline on correction; however, serum renin levels remained elevated. Serum ADH was related to hyponatremia but ADH-R and renin were not. ADH-R and renin levels did not significantly differ in CSW and SIADH. CONCLUSION: CSW is the commonest cause of hyponatremia in TBM and correlates with disease severity. ADH is related to hyponatremia, but ADH receptor and renin are not.

A cross-sectional study to determine the psychological distress among pulmonary tuberculosis patients during COVID-19 pandemic.

COVID-19 pandemic had adversely affected the services of the National Tuberculosis (TB) Elimination Programme, resulting in psychological distress among pulmonary tuberculosis patients (PTB). This cross-sectional, hospital-based study included 361 PTB patients. Three pre-defined questionnaires were used for the analysis, a questionnaire to evaluate anxiety related to COVID-19, a patient health questionnaire (PHQ-9) for depression, and a fear of COVID-19 scale (FCV-19S) questionnaire. Among 361 PTB patients, 13% (n=47) had COVID-19 infection. Out of the total patients, 69% (n=250) were DR-TB (drug resistance-tuberculosis) cases. Proportion of anxiety, fear and depression due to COVID-19 was found in 49% (n=177), 23% (n=83), 67% (n=247) respectively. Delay in the initiation of anti-tubercular treatment was found in 58% (n=210) of the cases, among which the majority, i.e., 69% (n=172, p=0.011), were DR-TB. This pandemic has led to a sudden step-down of PTB. Trend analysis of the psychological distress showed a peak following the COVID-19 pandemic. Most DR-TB patients had delayed initiation of the anti-tubercular treatment during the pandemic. The preponderance of the younger age group was seen in the pulmonary tuberculosis patients, and a majority of them had DR-TB. Depression was the predominant psychological distress among the study subjects during the pandemic.

Increased Serum Levels of Matrix-metalloproteinase-9, Cyclo-oxygenase-2 and Prostaglandin E-2 in Patients with Chronic Obstructive Pulmonary Disease (COPD).

Chronic obstructive pulmonary disease (COPD), a heterogeneous lung disorder that is characterized by airflow obstruction and the third leading cause of death, globally. COPD is influenced by environmental and genetic factors. Here, we measured the serum level of matrix metalloproteinase-9 (MMP-9), cyclooxygenase-2 (COX-2) and prostaglandin E-2 (PGE-2) and reveal the correlation between their levels in COPD subjects. In this study, we included a total of 79 COPD and 79 healthy controls. We assessed demographic profile, risk factors, respiratory symptoms, clinical history, COPD Assessment Test (CAT) score and spirometry. Further, we determined the serum levels of MMP-9, COX-2 and PGE-2 by enzyme-linked immunosorbent assay (ELISA). The correlation between their serum levels was also determined. Among the studied population age, gender, body mass index and socioeconomic status were comparable. Serum levels of MMP-9, COX-2 and PGE-2 were significantly increased in the COPD group than in healthy controls (P < 0.0001). Moreover, MMP-9, COX-2 and PGE-2 levels were increased with the GOLD grades and CAT score (> 10). Serum levels of MMP-9, COX-2 and PGE-2 was enhanced in patients with larger clinical history (> 20 years) than those with lower clinical history (< 10 years). Serum levels of MMP-9 and COX-2; MMP-9 and PGE-2; COX-2 and PGE-2 showed a positive correlation (P < 0.0001) with the COPD group. Our data demonstrate that serum levels of MMP-9, COX-2 and PGE-2 were correlated with the GOLD grade, CAT score and clinical history of the COPD group, pointing that they can be used as a indicators to understand the disease progression. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-021-00973-2.

Spectrum of interstitial lung diseases and their association with pulmonary hypertension.

Interstitial lung diseases (ILDs) are an intriguing group of pulmonary disorders, which still require the study of epidemiological, genetic, pathophysiological, clinical, and radiological parameters. Pulmonary hypertension (PH) is an underreported complication in interstitial lung diseases which is associated with worse outcome. In our study, we have reported the spectrum of ILDs and estimated the prevalence of pulmonary hypertension among these subjects at a tertiary care centre. A cross-sectional study was performed in which demographical, clinical, radiological, and histological data of subjects with ILD, attending the department of Respiratory Medicine in the University was collected from 1st September 2018 to 31st August 2019. Serological tests were done wherever indicated. Standard criteria along with multidisciplinary opinion were needed to arrive at the final diagnosis. All subjects were screened for pulmonary hypertension via 2-D echocardiography. Mean pulmonary artery pressure ≥20 mmHg was used to define PH. In the defined period, 239 subjects were enrolled (58% females, n=141; mean age 52.38±13.40 years). A tissue diagnosis was obtained in 34% cases.  The most common ILD was hypersensitivity pneumonitis (32.2%), followed by autoimmune-ILD (31.4%), idiopathic pulmonary fibrosis (IPF) (15.9%) and sarcoidosis (12.6%), non-IPF idiopathic interstitial pneumonitis (2.1%) and rest 21 (5.9%) subjects were diagnosed as other types of ILD.  Pulmonary hypertension was seen in 46.0% of subjects.

Understanding nitrate uptake, signaling and remobilisation for improving plant nitrogen use efficiency.

The majority of terrestrial plants use nitrate as their main source of nitrogen. Nitrate also acts as an important signalling molecule in vital physiological processes required for optimum plant growth and development. Improving nitrate uptake and transport, through activation by nitrate sensing, signalling and regulatory processes, would enhance plant growth, resulting in improved crop yields. The increased remobilisation of nitrate, and assimilated nitrogenous compounds, from source to sink tissues further ensures higher yields and quality. An updated knowledge of various transporters, genes, activators, and microRNAs, involved in nitrate uptake, transport, remobilisation, and nitrate-mediated root growth, is presented. An enhanced understanding of these components will allow for their orchestrated fine tuning in efforts to improving nitrogen use efficiency in plants.

High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response.

The development of crop varieties with higher nitrogen use efficiency is crucial for sustainable crop production. Combining high-throughput genotyping and phenotyping will expedite the discovery of novel alleles for breeding crop varieties with higher nitrogen use efficiency. Digital and hyperspectral imaging techniques can efficiently evaluate the growth, biophysical, and biochemical performance of plant populations by quantifying canopy reflectance response. Here, these techniques were used to derive automated phenotyping of indicator biomarkers, biomass and chlorophyll levels, corresponding to different nitrogen levels. A detailed description of digital and hyperspectral imaging and the associated challenges and required considerations are provided, with application to delineate the nitrogen response in wheat. Computational approaches for spectrum calibration and rectification, plant area detection, and derivation of vegetation index analysis are presented. We developed a novel vegetation index with higher precision to estimate chlorophyll levels, underpinned by an image-processing algorithm that effectively removed background spectra. Digital shoot biomass and growth parameters were derived, enabling the efficient phenotyping of wheat plants at the vegetative stage, obviating the need for phenotyping until maturity. Overall, our results suggest value in the integration of high-throughput digital and spectral phenomics for rapid screening of large wheat populations for nitrogen response.

Genome-wide association reveals a complex architecture for rust resistance in 2300 worldwide bread wheat accessions screened under various Australian conditions.

We utilized 2300 wheat accessions including worldwide landraces, cultivars and primary synthetic-derived germplasm with three Australian cultivars: Annuello, Yitpi and Correll, to investigate field-based resistance to leaf (Lr) rust, stem (Sr) rust and stripe (Yr) rust diseases across a range of Australian wheat agri-production zones. Generally, the resistance in the modern Australian cultivars, synthetic derivatives, South and North American materials outperformed other geographical subpopulations. Different environments for each trait showed significant correlations, with average r values of 0.53, 0.23 and 0.66 for Lr, Sr and Yr, respectively. Single-trait genome-wide association studies (GWAS) revealed several environment-specific and multi-environment quantitative trait loci (QTL). Multi-trait GWAS confirmed a cluster of Yr QTL on chromosome 3B within a 4.4-cM region. Linkage disequilibrium and comparative mapping showed that at least three Yr QTL exist within the 3B cluster including the durable rust resistance gene Yr30. An Sr/Lr QTL on chromosome 3D was found mainly in the synthetic-derived germplasm from Annuello background which is known to carry the Agropyron elongatum 3D translocation involving the Sr24/Lr24 resistance locus. Interestingly, estimating the SNP effects using a BayesR method showed that the correlation among the highest 1% of QTL effects across environments (excluding GWAS QTL) had significant correlations, with average r values of 0.26, 0.16 and 0.55 for Lr, Sr and Yr, respectively. These results indicate the importance of small effect QTL in achieving durable rust resistance which can be captured using genomic selection.

Two-Photon-Induced Fluorescence Study of Rhodamine-6G Dye in Different Sets of Binary Solvents.

This study deals with the effects of different sets of binary solvents on the Two-Photon Induced Fluorescence (TPIF), a non-linear process, of the Rhodamine-6G (Rh6G) dye, which is a well-known xanthene dye. This work examines the importance of inter-molecular interactions, which results in the modulation of the TPIF of the Rh6G. In this work, we have investigated three binary solvent mixtures representing varying polarity and intermolecular interactions. Specific solvent mixtures used are methanol-water, methanol-dimethyl formamide, and methanol-chloroform. Since the solvent polarity across these binary solvents differs, there are significant intermolecular interactions in the binary mixture solvents, which modulate the two-photon process of Rh6G when irradiated with high-intensity laser light at 780 nm. In our studies, we find that Rh6G in the MeOH-H2O binary solvent has maximum red-shift and minimum intensity as compared to other pairs of binary liquids when the volume fraction of methanol decreases due to more extensive hydrogen bonding between the two components. Additionally, at 1:1 ratio of binary mixtures, Rh6G is found to have the highest TPEACS value for methanol-chloroform binary solvent and reason for that is related to the formation of weak H-bond networks between proton donor chloroform and proton acceptor methanol.