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From stress signaling to yield stability: physiological and molecular mechanisms of wheat resilience to heat and drought stress.

Wheat resilience depends on coordinated signaling, reproductive protection, and source-sink regulation, providing a framework to breed robust trait combinations that stabilize yield under combined heat and drought. Climate change is increasing the frequency and severity of heat and drought events, posing a major threat to wheat productivity, yield stability, and food security. Because these stresses often coincide in the field, their combined effects can impair growth, reproductive development, grain filling, and final yield more severely than either stress alone. Wheat resilience under such conditions depends on coordinated physiological adjustment and molecular regulation that sustain cellular homeostasis, protect reproductive tissues, and preserve yield-related traits. This review synthesizes current knowledge on the physiological and molecular bases of wheat resilience to heat and drought, with emphasis on their combined effects. We discuss major physiological responses, including photosynthetic adjustment, stomatal regulation, canopy cooling, osmotic balance, antioxidant defense, membrane stability, and source-sink coordination. We also examine key regulatory pathways involved in stress perception and adaptation, including calcium and reactive oxygen species signaling, mitogen-activated protein kinase cascades, phytohormonal crosstalk, transcriptional regulation, heat shock proteins, late embryogenesis abundant proteins, and osmoprotective and redox-associated pathways. In addition, we highlight the growing contribution of transcriptomics, proteomics, metabolomics, and phenomics to the identification of candidate genes, biomarkers, and adaptive traits. Finally, we consider how mechanistic insights can be translated into wheat improvement through molecular markers, genomic selection, gene editing, and climate-realistic phenotyping. An integrated understanding of stress signaling and adaptive trait deployment will be essential for developing wheat cultivars with improved resilience and yield stability under future climates.

Triticum

Finlay-Wilkinson random regression for yield and yield stability prediction in cereals.

Year-to-year climate variability poses a challenge for agriculture by increasing crop yield variability; therefore, there is a need to identify genotypes that can withstand these fluctuations. With the right selection criteria, genotypes with yield stability across variable environmental conditions can be selected. Methods such as Finlay-Wilkinson random regression (FWRR) may allow us to use sparse datasets-common in plant breeding pipelines-and incorporate genomic data to leverage phenotypic information from related genotypes to predict yield stability. Our objective was to examine how the number of environments and the variance among those environments affect stability predictions. We also integrate FWRR as a genomic prediction tool for characterizing yield stability, comparing it to the traditional genomic prediction models as a reference. We used three datasets: one highly unbalanced dataset for oats (Avena sativa L.) and two completely balanced datasets with different numbers of environments for barley (Hordeum vulgare L.) and wheat (Triticum aestivum L.). We fit standard Finlay-Wilkinson (FW) and FWRR models to estimate grain yield and stability under various scenarios. We found that the estimated stability values obtained were similar using balanced datasets for FW or FWRR. FWRR also achieved moderate predictive ability for stability using unbalanced datasets under 10-fold cross-validation (CV1) with new genotypes. In terms of environmental representation, selecting the right set of environments for inclusion in the model was more important than adding more environments. Our results suggest the possibility of using FWRR to select stable genotypes earlier in line development, as well as to design resource-efficient stability-testing schemes.

Hordeum

Grain protein and yield stability study in rainfed durum wheat RILs.

Developing durum wheat cultivars with stable grain yield across diverse environments remains a key breeding objective. This study evaluated 118 recombinant inbred lines (RILs) derived from a cross between the drought-adapted cultivar 'Zardak' (Triticum durum) and the landrace 'Iran-249' (T. turanicum) with desirable seed characteristics, across four heterogeneous rainfed environments in Italy and Iran. The assessment focused on grain yield (GY) and grain protein content (GPC) stability. Combined analysis of variance revealed significant (p&#x2009;<&#x2009;0.01) effects for genotype, environment, and their interaction for both traits. Line ZD-050 showed the highest GY (3.91 t ha&#x207b;&#xb9;), while ZD-032 had the highest GPC (14.27%). Stability analysis using parametric and non-parametric methods, along with AMMI and GGE biplot modeling, identified ZD-050 as among the most promising genotypes according to yield-integrating and dynamic-stability approaches. This line showed high grain yield in methods such as the Superiority Index and Kang's rank-sum, although stability rankings differed across the used methods. This line maintained superior yield, demonstrated broad adaptability across environments, and had moderate protein levels, identifying it as an optimal candidate for breeding programs targeting yield stability and wide adaptation under rainfed conditions.

Triticum

Expansion of projected lactation yield to stabilize genetic variance.

Information on partial lactations often is included in genetic evaluations by predicting the cow's eventual 305-d yield. Such projected yields have less phenotypic and genetic variation than completed yields but were modeled as having greater or equal variation in evaluations. Analysis of first lactations from 48,424 daughters of 844 Holstein sires indicated that yields predicted early (46 to 75 d) in lactation had less than one-half as much additive genetic variance as completed yields. Multiple-trait REML estimates of genetic correlations of predicted and completed yields were all above .92, indicating that early lactation information is valuable if modeled appropriately. Expanded records with genetic variances equal to those of completed yields and new lactation length weights were derived. Expanded records have larger error variances than either projected or completed yields and, thus, are given less weight when included in animal model evaluations. Genetic gains are expected to increase only .2 to .3%, but more stable genetic evaluations should result from use of expanded records, particularly for animals evaluated primarily from first lactation records in progress.

Animals

Technetium-99m galactosyl-neoglycoalbumin: preparation and preclinical studies.

Technetium-99m galactosyl-neoglycoalbumin ([Tc] NGA), a labeled analog ligand to the hepatocyte-specific receptor, hepatic binding protein (HBP), was prepared and tested for labeling yield, stability, biodistribution, toxicity, and dosimetry. The ligand was synthesized by the covalent coupling of a carbohydrate bifunctional reagent, 2-imino-2-ethyloxymethyl-1-thiogalactose, to human serum albumin. Testing in mice and rabbits revealed the product to be nontoxic and apyrogenic. Technetium labeling yields in excess of 95%, by the electrolytic method, did not alter the molecular weight profile of the neoglycoalbumin. The NGA-bound activity remained stable for at least 4 hr. Biodistribution studies in rabbits demonstrated the liver as the single focus of tracer uptake. Dosimetry was based on kinetic studies in three baboons. Absorbed doses to liver, small intestine, urinary bladder wall, and uterus were 0.089, 0.28, 0.56, and 0.88 rad/mCi, respectively. Total body, lens of the eye, red marrow, ovaries, and testes were less than 0.06 rad/mCi. High liver specificity imparted by receptor binding combined with high labeling yield, stability, acceptable dosimetry, and safety provide [Tc]NGA with the attributes required for routine clinical assessment of hepatocyte function.

Albumins

Seed shattering habit in millets and the secrets of the abscission layer - a comprehensive review.

Though seed shattering continues to be a significant barrier affecting yield stability and harvesting efficiency in millets and other grasses, millets are increasingly acknowledged as climate-resilient, nutrient-rich 2007cereal crops with the potential to strengthen global nutritional and food security under the combined pressures of climate change, population growth, and limited natural resources. Since strong artificial selection favoured non-shattering phenotypes during domestication, seed shattering, an adaptive trait in wild species that promotes seed dispersal through the formation and activation of specialised abscission layers, became a distinguishing feature of cultivated cereals. With a focus on the morphological, physiological, hormonal, and genetic modulation of the abscission zone, this article summarizes the state of the art regarding seed shattering in millets. Abscission layer morphology, location, and lignification vary greatly among grasses, from well-defined lignified zones in rice and sorghum to non-lignified and anatomically subtle zones in Setaria and Panicum species. Cell wall-modifying enzymes like polygalacturonases, cellulases, expansins, and pectin methylesterases that mediate middle lamella degradation are modulated by coordinated hormonal signalling involving auxin, ethylene, and abscisic acid, which controls the timing and progression of cell separation at the physiological level. Domestication-related genes, including SH1, qSH1, SH4, and LES1, demonstrate convergent evolutionary mechanisms controlling abscission layer development in a variety of grass lineages at the molecular level. Understanding these regulatory networks has been greatly enhanced by recent developments in transcriptomics, functional genomics, and genome sequencing in both model species and underused millets. The role of millets as climate-smart cereals for sustainable future agriculture is reinforced by the integration of anatomical, physiological, and genetic insights, which offer a solid basis for targeted breeding and genome-editing strategies intended to improve seed retention, enhance yield stability, and increase harvest efficiency.

Abscission Layer

The use of autocorrelation analysis in the longitudinal study of mood patterns in depressed patients.

The statistical method of autocorrelation, commonly used in econometrics and engineering, was applied to the daily mood scores of ten depressive hospital in-patients. The analyses made possible the quantification of two aspects of the longitudinal course of individual patients' psychopathology, the degree of day-to-day stability and the degree of periodicity in mood. Quantification of the degree of day-to-day mood stability yielded wide variations between patients and suggested that patients might be usefully categorized in terms of this characteristic. Mood stability during periods of severe depression was found to be less pronounced than during periods of relatively moderate depression. Furthermore, the existence of 'mini-cycles', cyclical fluctuations in mood of one to two weeks' duration occurring during the course of depressive episodes, was demonstrated in three cases.

Adult

[Action of nonachlazine on the creatine phosphokinase and acid phosphatase activity and on the lysosomal membrane stability of the ischemic myocardium in rats after preliminary reserpinization].

Experiments on the ischemic myocardial tissue of the rat in vitro showed that despite the fact that reserpine-induced depletion of the tissue catecholamine storage failed to affect the stability of lysosomal membranes, a combination of reserpine pretreatment of the animals with subsequent administration of nonachlazine at the low dose yielded stabilization of lysosomal membranes to a greater extent than administration of nonachlazine alone. The effects of nonachlazine (0.25 mg/kg) on the activity of creatine phosphokinase and total activity of acid phosphatase with and without reserpine pretreatment were similar.

Acid Phosphatase

The reliability and stability of a quantity-frequency method and a diary method of measuring alcohol consumption.

The study aimed to assess the test-retest reliability of two commonly used measures of alcohol consumption, the quantity-frequency (QF) method and the diary method, as well as the stability of scores on the two measures over time. Two methods of assessing reliability and stability were employed. The first was a traditional method based on calculation of correlation coefficients for agreement between scores on repeated measures over a short retest interval to yield test-retest reliability coefficients, and over a long retest interval to yield stability coefficients. The second method was that devised by Wiley and Wiley (1970) to differentiate the effects of reliability and stability on repeated measures over time. The two methods were applied to a sample of heavy drinkers and to a sample of light drinkers. The results indicated that both the QF and diary measures are reliable in measuring alcohol consumption of light drinkers. Both measures are less reliable for heavy drinkers. The results indicate, in addition, that drinking consumption levels of light drinkers demonstrate a high degree of stability. However, the consumption levels of heavy drinkers demonstrate less stability, especially over a long time period. Heavy drinkers significantly reduced reported levels of alcohol consumption on both measures after the first test, suggesting a regression to the mean effect or the possibility of unintended intervention effects due to repeated measurement of drinking behaviour.

Adult

The stoichiometry and stability of the NADP complexes with manganese(II) ions as studied by electron paramagnetic resonance.

Magnetic resonance techniques have been applied to study the stability of the complexes formed between Mn(II) ions and NADP in aqueous solutions at a pH of 7.5 and 20 degrees C. The electron paramagnetic resonance (epr) data indicate that at low Mn(II) ion concentrations ([Mn(II)] less than 1 mM; [NADP] approximately 5 mM), a 1:1 complex is formed with an apparent stability constant K1 = 370 +/- 50 M-1 at an ionic strength of 0.22 in the presence of 0.20 M Cl-. At high Mn(II) ion concentrations, a Mn(II)2-NADP species, with an apparent stability constant K2 = 54 +/- 17 M-1, is present in significant amounts. When the epr data are corrected for the presence of the MnCl+ ion, the analysis of the new Scatchard plot yields stability constants for the two sites of K1 = 640 +/- 90 M-1 and K2 = 88 +/- 13 M-1, respectively. The presence of two metal ion binding sites on the NADP molecule has not been observed previously, and previous workers have always analyzed their data in terms of the 1:1 Mn(II)-NADP complex. An epr temperature study of K1 yields a value of delta H equal to 1.3 +/- 0.2 kcal/mol (1 cal = 4.187 J).

Chemical Phenomena

Enzyme reaction engineering: synthesis of antibiotics catalysed by stabilized penicillin G acylase in the presence of organic cosolvents.

By using very active and very stable penicillin G acylase (PGA)--agarose derivatives we have studied the industrial design of equilibrium-controlled synthesis of lactamic antibiotics. In the presence of high concentrations of organic cosolvents we have carried out the direct enzymatic condensation of phenylacetic acid and 6-aminopenicillanic acid to yield the model antibiotic penicillin G. We have mainly studied the integrated effect of different variables that define the reaction medium on a number of parameters of industrial interest:time course of antibiotic synthesis, highest synthetic yields, stability of the catalyst, and solubility and stability of substrates and products. The main variables tested were the nature and concentration of the organic cosolvent, pH, and temperature. The effects of the variables tested on different parameters were quite different and sometimes opposite. Hence, the optimal experimental conditions for antibiotic synthesis catalysed by PGA were established, as a compromise solution, in order to obtain good values for every parameter of industrial interest. These conditions seem to be important parameters for scale-up (e.g. we have been able to reach more than 95% of synthetic yields with productivities around 0.5 tons of model antibiotic per year per liter of catalyst).

Enzyme Stability

Molecular Bases and Genetic Design of Rice Disease Resistance for Optimized Yield and Sustainable Agriculture.

Rice diseases continue to undermine yield stability and threaten the sustainability of rice production. The central challenge is therefore not simply to maximize immune activation, but to identify genetic interventions that remain effective across diverse pathogen races and environmental conditions without imposing excessive penalties on growth or yield. Here, we synthesize the molecular basis of rice immunity from a design-oriented perspective. We first examine cell-surface pattern-recognition receptors and intracellular nucleotide-binding leucine-rich repeat receptors, and then assess the shared signaling hubs and defence outputs that connect pathogen perception to antimicrobial responses. Rather than treating these components as equivalent breeding targets, we compare their translational potential according to resistance spectrum, anticipated durability, tunability, pleiotropic risk, and the strength of field evidence. We further discuss breeding strategies based on receptor engineering, editing of susceptibility genes and cis-regulatory elements, post-translational motif engineering, pathogen-inducible and upstream open reading frame-mediated regulation, resistance-gene stacking and artificial intelligence-assisted prediction. We argue that rational resistance design in rice should move beyond constitutive immune activation toward allele-specific, quantitative, spatially restricted and infection-responsive regulation. Integrating mechanistic insights with precision genome editing, accelerated breeding and responsible deployment offers a practical route to durable, yield-compatible disease resistance while reducing dependence on chemical control.

breeding strategy

Clinical evidence on non-viral CAR-T cell therapies for solid tumors: a scoping review.

BACKGROUND: Chimeric antigen receptor (CAR) T-cell therapy in solid tumors is hindered by the immunosuppressive tumor microenvironment and by toxicities associated with viral-vector manufacturing. Non-viral gene delivery platforms have emerged as a potential alternative, though clinical evidence remains fragmented. METHODS: Following an a priori protocol registered on the Open Science Framework (OSF; https://doi.org/10.17605/OSF.IO/2TPQS) and adhering to JBI/PRISMA-ScR guidelines, a systematic search was conducted across four databases from inception through May 15, 2026. Patient-level data were extracted to describe cellular persistence and clinical outcomes across strictly non-viral delivery platforms. RESULTS: Four early-phase studies met the inclusion criteria, encompassing 28 heavily pretreated patients with metastatic solid tumors. Two non-viral platforms were identified: mRNA electroporation (n=19; intravenous in 13, intratumoral in 6) and the piggyBac transposon system (n=9). Across both mRNA routes, transient CAR-T persistence (<7 days) was observed, with no objective responses (ORR 0%), though disease stabilization yielded a disease control rate (DCR) of 53%; cross-route comparison is limited by differing distribution profiles. The piggyBac system showed longer persistence (~28 days) and a DCR of 78%, including the only documented objective response (ORR 11%). No Grade &#x2265;3 cytokine release syndrome or neurotoxicity was reported in any of the 28 patients, and no tocilizumab or systemic corticosteroids were required. CONCLUSIONS: Within this limited early-phase evidence base, no severe toxicities attributable to non-viral platforms were reported, and the evidence identifies knowledge gaps warranting prospective investigation. mRNA platforms showed transient persistence and disease stabilization in 53% of patients. One partial response was documented with the piggyBac platform in a single patient; however, this outcome cannot be attributed to the delivery platform given simultaneous differences in target antigen, tumor histology, route of administration, and geographic setting. No firm conclusions regarding comparative platform performance can be drawn from this evidence base. SYSTEMATIC REVIEW REGISTRATION: https://doi.org/10.17605/OSF.IO/2TPQS, identifier OSF.IO/2TPQS.

Humans

Beyond the salt barrier: CRISPR-mediated DNA reprogramming to uncouple yield from tolerance in Rice: A review.

Rice (Oryza sativa L.) feeds half of humanity, yet its cultivation is increasingly threatened by soil salinization, which now affects 1.4 billion hectares globally. Decades of breeding and engineering have focused on Na+ exclusion, principally through the Saltol QTL and the xylem-unloading transporter OsHKT1;5, yet this strategy has reached a physiological ceiling. Excluder genotypes survive salinity but fail to fill grain, because the ATP-intensive cost of continuous ion extrusion starves reproductive sinks, while ABA-mediated stomatal closure imposes chronic carbon limitation. The resulting "survival-yield gap" exposes a fundamental flaw in single-trait approaches to a polygenic stress. In this review, we argue that durable, yield-stable salt tolerance requires a coordinated systems-level intervention spanning five mechanistic tiers: (i) CRISPR/Cas9-mediated removal of negative regulatory brakes (OsRR22, RST1, PC1) that suppress plant's latent stress-adaptive capacity; (ii) reinforcement of actin-myosin cytoskeletal transport to sustain SOS1, NHX1, and HKT1;5 delivery under ionic stress; (iii) importation of halophyte design principles from Oryza coarctata, including salt gland architecture and superior Na+ compartmentalization; (iv) recalibration of the ROS-photosynthesis axis via the DHHC09-STRK1-CatC molecular switch and stomatal density engineering; and (v) pyramiding these modules into a "Salt-Shield Rice" genotype through multiplex editing, marker-assisted introgression, speed breeding, and genomic selection. We propose a phased ten-year roadmap that integrates synthetic biology circuit design with conventional breeding to deliver field-ready, multi-module varieties with greater than 70% yield stability at 8-10 dS m-1. This remains an aspirational design target rather than a demonstrated outcome, as three of the five tiers-halophyte-derived structural traits, cytoskeletal reinforcement, and full multi-module pyramiding-remain unvalidated in rice.

CRISPR/Cas9

The Clinician-reported Genetic Testing Utility InDEx for Neonatal Intensive Care (C-GUIDE NICU): Quantifying genome-wide sequencing utility in the NICU.

PURPOSE: Use of genomic sequencing (GS) in neonatal intensive care units (NICUs) has increased with improved diagnostic yield. However, uncertainty persists regarding when and for whom GS is most useful. Because a standardized approach to assessing utility is lacking, we developed a novel version of the Clinician-reported Genetic testing Utility InDEx (C-GUIDE) to quantify the utility of GS in NICUs. METHODS: Informed by a scoping review, we developed a draft C-GUIDE NICU tool to quantify utility, which underwent iterative revisions through feedback from clinician interviews and questionnaires on item relevance, comprehensibility, and comprehensiveness. We finalized the expert-informed C-GUIDE NICU using an international Delphi consensus process. RESULTS: Scoping review (n = 25 articles) and interviews (n = 21) revealed key themes of utility. Guided by qualitative feedback and item scoring, C-GUIDE was iteratively reduced to include 21, 18, and 14 items. The Delphi consensus process with 22 experts achieved item consensus and stability, yielding a final 10-item tool. CONCLUSION: Using a rigorous process, we developed a consensus-based standardized method for capturing the clinical utility of GS in NICUs. C-GUIDE NICU can be used by clinicians, researchers, and payers to assess GS value to patient care and will be available for licensed use following reliability and validity testing.

Humans

Whole genome sequence data on Ethiopian key sorghum landraces and founder lines.

Sorghum (Sorghum bicolor (L.) Moench) is the fifth most important cereal globally. Its genetic diversity is key to improving yield stability, stress tolerance, and adaptation to different environments. Ethiopia is one of the centers for the crop's origin, diversity, and use in both human food and livestock feed. However, genomic data on Ethiopian sorghum remain limited, especially for landraces preferred by local farmers. This dataset consists of whole-genome sequencing data for 188 Ethiopian sorghum accessions, including founder lines and important landraces from major agroecological zones. Sequencing was performed using the Complete Genomics DNBSEQ-T7 platform, generating high-coverage whole-genome data (20 &#xd7; coverage). On average, each accession produced 64.7 million reads. Reads were aligned to the Sorghum bicolor NCBIv3 reference genome and variants called using GATK HaplotypeCaller with joint genotyping (GATK v4.6.1.0). Hard-filtering followed GATK best-practice thresholds (QD <2.0, FS> 60.0, MQ <40.0, MQRankSum <-12.5, ReadPosRankSum <-8.0), retaining biallelic SNPs with mean depth 10-50&#xd7;, missingness &#x2264;20%, and MAF &#x2265;0.05, yielding 6095,752 high-confidence SNPs across 185 accessions. Both the raw FASTQ files and processed VCF files are publicly available to support studies of sorghum genetic diversity, population structure, selection, and the genetic basis of important traits.

Adaptation