Manipulation of flowering time for adaptation through natural or genetic approaches may combat heat-stress damage that occurs at the reproductive stages in production conditions. HD2733, a popular wheat variety of the eastern plains of India, is largely sensitive to heat stress. Therefore, the current study aims to improve heat tolerance of HD2733 by introgression of QTLs associated with early anthesis and high kernel weight linked to markers X and X, respectively, through marker-assisted backcross breeding (MABB) from a tolerant donor, WH730. A total of 124 simple sequence repeat (SSR) markers distributed evenly across the genome were used for the background selection. The alleles of and X were fixed in BCF and BCF generations by selecting individual plants heterozygous for both marker loci and backcrossed with HD2733 and simultaneously selfed to generate BCF and BCF populations, respectively. Furthermore, the selected BCF were selfed to generate the BCF4 population. By background screening, a total of 39 BCF and 21 BCF families homozygous for the targeted QTLs with 90.9-97.9% and 86.8-88.3% RPG recoveries were selected. The best performing 17 BCF and 10 BCF lines were evaluated for various morpho-physiological traits. Phenotypic evaluation and multi-location trials of the introgressed lines under late sown conditions led to the selection of three promising lines with early anthesis and higher grain yield. The improved lines will serve as an excellent genetic material for functional genomics and expression studies to understand the molecular mechanisms and pathways underlying the stress tolerance.
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http://dx.doi.org/10.3389/fgene.2022.1056783 | DOI Listing |
Cryobiology
January 2025
Laboratorio de Biotecnología de la Reproducción Animal, Facultad de Ciencias Agropecuarias, Universidad de Cuenca, EC010205, Cuenca, Ecuador.
This study evaluated the effectiveness of Percoll® density gradient centrifugation (Percoll-DGC) for selecting bull epididymal sperm prior to conventional slow (CS) or ultra-rapid (UR) freezing and its effects on sperm quality. Fifteen pooled samples from 30 epididymides (2 different samples/pool) of 15 bulls were split into two aliquots assigned to either CS or UR freezing. Samples were either selected using Percoll-DGC (40/80 %) or left non-selected (control), resulting in four pre-freezing treatments: Percoll-CS, Control-CS, Percoll-UR, and Control-UR.
View Article and Find Full Text PDFTalanta
January 2025
College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China.
Monitoring reactive nitrogen species (RNS) in complex biological media is essential for evaluating the health status of living organisms; however, biofouling on the sensor surface restricts its applications. To overcome this issue, we developed an antifouling electrochemical sensing platform using copper-platinum bimetallic nanoparticles/N-doped biomass porous carbon fibres (Cu-PtNPs/N-BCF) for directly detecting peroxynitrite anion (ONOO), a major type of RNS. Cyclic voltammetry measurements demonstrated that the Cu-PtNPs/N-BCF-2 nanocomposite, synthesised at a molar ratio of 1:1 between Co and Zn, exhibited exceptional electrocatalytic activity for ONOO oxidation.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
ExxonMobil Petroleum and Chemical BV, Machelen, Belgium.
Despite the fact that the UN Stockholm Convention on persistent organic pollutants specifically acknowledges that Arctic ecosystems and Indigenous communities are particularly at risk due to biomagnification of contaminants in traditional foods, the bioconcentration factor (BCF) of substances in fish remains the preferred metric for identifying the biomagnification potential of organic substances. The BCF measures uptake of substances from water in water-breathing organisms, but not biomagnification of contaminants from food sources. The purpose of this study is to investigate how the biomagnification factor (BMF) can be used in bioaccumulation assessments.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Mathematical Sciences, Faculty of Science, Somali National University, Mogadishu Campus, Mogadishu, Somalia.
In recent years, machine learning has gained substantial attention for its ability to predict complex chemical and biological properties, including those of pharmaceutical compounds. This study proposes a machine learning-based quantitative structure-property relationship (QSPR) model for predicting the physicochemical properties of anti-arrhythmia drugs using topological descriptors. Anti-arrhythmic drug development is challenging due to the complex relationship between chemical structure and drug efficacy.
View Article and Find Full Text PDFClin Transl Sci
January 2025
Clinical Pharmacology, Translational Medicine and Clinical Pharmacology, Boehringer-Ingelheim Pharma, Ingelheim, Germany.
Hepatic impairment (HI) trials are traditionally part of the clinical pharmacology development to assess the need for dose adaptation in people with impaired metabolic capacity due to their diseased liver. This review aimed at looking into the data from dedicated HI studies, cluster these data into various categories and connect the effect by HI with reported pharmacokinetics (PK) properties in order to identify patterns that may allow waiver, extrapolations, or adapted HI study designs. Based on a ratio ≥ 2 or ≤ 0.
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