Biology subjects

Gill, K. S.

Publications and source records attributed to Gill, K. S..

4 recordsLinked to original sources

bioRxiv2025

Investigations into genetic control of six spike traits with a focus on breeding for terminal heat stress tolerance in common wheat

To unravel the genetic architecture of six spike traits under heat stress, we used a doubled-haploid (DH) population (177 lines), developed from a cross between a heat-sensitive cultivar (PBW343) and a heat-tolerant genotype (KSG1203). This DH population and the two parents were phenotyped under timely, late, and very late sown conditions across 15 environments over three years and two locations. Best linear unbiased estimates and a high-density genetic map (5,710 SNP markers) were used for QTL mapping. A total of 51 QTL were detected in timely (17), late (10), and very late (18) sown conditions, with six common across environments with phenotypic variation explained ranging from 7.1% to 23.6%. A set of 14 stable, major QTL were validated in high-yielding DH lines and are recommended for marker-assisted recurrent selection. Several QTL co-localized with known genes responsible for important traits including grain yield (TaGW2-B1, PI1-1B). Seventy heat-responsive candidate genes associated with QTL were identified, encoding 33 proteins. A KASP marker for floret fertility QTL (QFf.ccsu-3A), and gene-based SSR markers for five key genes were developed and validated alongside Indels and SNPs. The generated genomic resources could be used in future studies and to breed heat-tolerant, high-yielding wheat varieties and germplasm. HighlightIdentified and validated stable QTL for spike traits across 15 environments, promising candidate genes for thermotolerance and spike traits, novel KASP and gene-based markers, providing genomic resources for breeding high-yielding, heat-tolerant wheat. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=153 HEIGHT=200 SRC="FIGDIR/small/662399v1_ufig1.gif" ALT="Figure 1"> View larger version (67K): org.highwire.dtl.DTLVardef@1e3cc33org.highwire.dtl.DTLVardef@734b17org.highwire.dtl.DTLVardef@146e3a5org.highwire.dtl.DTLVardef@10b9fbc_HPS_FORMAT_FIGEXP M_FIG C_FIG

genetics↗

bioRxiv2023

Multiple mechanisms of self-association of chemokine receptors CXCR4 and CCR5 demonstrated by deep mutagenesis

Chemokine receptors are members of the rhodopsin-like class A GPCRs whose signaling through G proteins drives the directional movement of cells in response to a chemokine gradient. Chemokine receptors CXCR4 and CCR5 have been extensively studied due to their roles in white blood cell development and inflammation and their status as coreceptors for HIV-1 infection, among other functions. Both receptors form dimers or oligomers but the function/s of self-associations are unclear. While CXCR4 has been crystallized in a dimeric arrangement, available atomic resolution structures of CCR5 are monomeric. To investigate the dimerization interfaces of these chemokine receptors, we used a bimolecular fluorescence complementation (BiFC)-based screen and deep mutational scanning to find mutations that modify receptor self-association. Many disruptive mutations promoted self-associations nonspecifically, suggesting they aggregated in the membrane. A mutationally intolerant region was found on CXCR4 that matched the crystallographic dimer interface, supporting this dimeric arrangement in living cells. A mutationally intolerant region was also observed on the surface of CCR5 by transmembrane helices 3 and 4. Mutations from the deep mutational scan that reduce BiFC were validated and were localized in the transmembrane domains as well as the C-terminal cytoplasmic tails where they reduced lipid microdomain localization. The reduced self-association mutants of CXCR4 had increased binding to the ligand CXCL12 but diminished calcium signaling. There was no change in syncytia formation with cells expressing HIV-1 Env. The data highlight that multiple mechanisms are involved in self-association of chemokine receptor chains.

biochemistry↗

bioRxiv2021

Brain Networks Detectable by fMRI during On-Line Self Report of Hallucinations in Schizophrenia

An analysis of an internationally shared functional magnetic resonance imaging (fMRI) data involving healthy participants and schizophrenia patients extracted brain networks involved in listening to radio speech and capture hallucination experiences. A multidimensional analysis technique demonstrated that for radio-speech sound files, a brain network matching known auditory perception networks emerged, and importantly, displayed speech-duration-dependent hemodynamic responses (HDRs), confirming fMRI detection of these speech events. In the hallucination-capture data, although a sensorimotor (response) network emerged, it did not show hallucination-duration-dependent HDRs. We conclude that although fMRI retrieved the brain network involved in generating the motor responses indicating the start and end of an experienced hallucination, the hallucination event itself was not detected. Previous reports on brain networks detected by fMRI during hallucination capture is reviewed in this context.

neuroscience↗

bioRxiv2021

Mapping QTLs for phenotypic and morpho-physiological traits related to grain yield under late sown conditions in wheat (Triticum aestivum L.)

The elevating temperature makes heat stress one of the major issues for wheat production globally. To elucidate genetic basis and map heat tolerance traits, a set of 166 doubled haploid lines (DHLs) derived from the cross between PBW3438/IC252874 was used. The population was evaluated under Normal sown (NS) and late sown (LS) conditions, by exposing to heat stress during rabi season. The canopy temperature (CT) showed positive correlations with grain yield, whereas Soil plant analysis development (SPAD) was not significantly correlated and associated with GY in both the normal and late sown conditions. Composite interval mapping (CIM) identified total 12 Quantitative trait loci (QTLs) viz., 2 (Normal sown), 10 (late sown) mapped on linkage groups 1A, 1D, 2B, 2D, 3B, 4D, 5B and 6D, during both the crop seasons 2017-18 and 2018-19. Combining the results of these QTLs revealed a major stable QTL for grain yield (GY) on chromosome 3B with 11.84% to 21.24% explaining phenotypic variance under both sowing conditions. QTL for CT and SPAD was detected on chromosome 1A while QTL for GY on chromosome 3B and 5B. The identified QTLs in the genomic regions could be targeted for genetic improvement and marker assisted selection for heat tolerance in wheat. The tools like SPAD and CT could be exploited to screen the large number of breeding lines.

plant biology↗