Biology subjects

Khangura, R. S.

Publications and source records attributed to Khangura, R. S..

8 recordsLinked to original sources

bioRxiv2026

Watkins wheat landraces: a treasure of stripe rust resistance alleles identified using multi-model association analyses

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), remains a major global constraint to wheat production. Rapid pathogen evolution, exemplified by the recent breakdown of Yr15 in Europe, underscores the need to identify diverse and durable resistance loci. The A.E. Watkins landrace collection represents a globally diverse pre-breeding resource with substantial untapped variation for stripe rust resistance. In this study, 297 Watkins landraces were evaluated against six diverse Pst isolates (representing six races and three North American lineages) and subjected to genome-wide association analysis using high-density whole-genome resequencing data. Continuous phenotypic variation was observed across isolates, with several accessions displaying stable resistance across all lineages. A total of 87 QTLs were identified across all 21 wheat chromosomes. Ten loci co-localized with designated or cloned Yr genes, including Yr84, Yr85, Yrq1, Yr71, Yr60, Yr62, Yr50, Yr68, Yr34, and Lr34/Yr18/Sr57. An additional 34 loci overlapped previously reported stripe rust QTL, whereas the majority did not coincide with known loci, suggesting potential novel resistance regions. Eighteen QTLs were supported by multiple isolates, and fourteen showed supports across statistical models, indicating robust genomic signals. Several Watkins accessions carried favorable alleles that co-localized with multiple Yr-aligned loci, identifying promising donor candidates for validation and pre-breeding. Key MessageGenome-wide association mapping of 297 Watkins wheat landraces across diverse stripe rust races & genetic lineages identified 87 QTL, including 10 formally designated Yr genes and 46 novel loci, highlighting Watkins landraces as valuable pre-breeding donors for novel all-stage stripe rust resistance.

plant biology↗

bioRxiv2026

Life, the universe, and everything for $42: ultra-low pass sequencing of maize for genotyping, mapping, and pedigree analysis

Convenient and economical genotyping methods and simplified bioinformatic workflows are critical for genetic studies and breeding. The declining cost of sequencing library construction, sample multiplexing, and the advent of skim sequencing has reduced costs and enabled large-scale genetic and genomic experiments. Here, we present a simple skim sequencing and bioinformatics pipeline sufficient for various genotyping applications. Our low-depth skim sequencing method costs 21 USD per sample and provides an average of 144k reads. Our approach uses a double-stranded DNA sample to prepare libraries for genome sequencing. We demonstrate various uses for this strategy in maize, a complex and large (2.5 Gbp) genome. DNA from multiple pedigreed populations, including advanced backcrossed progenies, bi-parental populations, near-isogenic lines, and recombinant inbred lines, were used to map loci, detect donor introgressions, and determine introgression haplotypes. Read counts at known polymorphic positions detected donor genotypes even when derived from parents of unknown origin and could localize mutations of phenotypic impact via bulked segregant analysis. Remarkably, the small amount of sequencing data produced were sufficient to identify the haplotypes of introgressions of unknown origin from by comparison to known genotypes. Correct haplotype identification enabled more accurate allele frequencies to be calculated when mapping loci. This is of exceptional value in maize, where a rich collection of mutants from the 20th century are of unknown pedigree. One sentence summaryEconomical and efficient whole genome ultra-low pass sequencing of DNA samples for numerous genetic and genomic applications.

genetics↗

bioRxiv2024

Natural variation in tetrapyrrole biosynthetic enzymes and their regulation modify the chlorophyll mutant Oy1-N1989

Tetrapyrroles are macrocyclic compounds present in and required for all life on Earth. Mutants with defects in tetrapyrrole pathway enzymes can be used to uncover natural variation in this pathway and study pathway regulation. We report here the effects of the Oy1-N1989/+ mutation, a semi-dominant allele of subunit I in the Mg-chelatase enzyme with reduced chlorophyll biosynthesis, on global gene expression and morphological traits. Coordinate regulation of the tetrapyrrole pathway was observed as transcriptional feedback regulation of genes in the tetrapyrrole pathway in Oy1-N1898/+ mutants. Natural variation in the wild-type allele at oy1 modulated the severity of the impact of Oy1-N1989/+ on gene expression. We also studied the effects of previously identified cis-acting expression variation at oy1 in wild-type plants. The seventy transcripts encoding biosynthetic enzymes in the tetrapyrrole pathway exhibited similar transcriptional co-regulation in response to cis-variation in oy1 transcript accumulation in wild-type plants as observed in the RNAseq of Oy1-N1989/+ mutants. This demonstrated that the coordinate regulation of the pathway also occurs during physiologically-relevant variation in OY1 abundance. Cis variants at seven tetrapyrrole pathway genes were linked to variation in chlorophyll accumulation in Oy1-N1989/+ mutant or wild-type plants. Analysis of trans-acting transcriptional variation by eGWAS detected multiple transcriptional hotspots, which disproportionately affected the expression of a subset of tetrapyrrole pathway genes, indicating that some genes are repeated targets of transcriptional regulation. The trans-regulatory hotspots coordinately regulated this pathway and may work to limit the accumulation of phototoxic intermediates. Author SummaryThe mutant allele and interactions with the genetic background determine the severity of mutant phenotypes. We used Oy1-N1989/+ mutants, affecting Mg-chelatase subunit I, to identify natural variants in the tetrapyrrole pathway affecting transcriptional regulation and variation in mutant traits. By integrating GWAS and transcriptomics, we identified similar feedback regulation of porphyrin and chlorophyll metabolism in mutants as well as in wild-type plants affected by natural variation. This is the first demonstration of natural variation affecting transcriptional feedback in the tetrapyrrole pathway under normal conditions. Using GWAS as a regulatory discovery tool, we identified unexplored regulatory mechanisms in a pathway that is critical for energy capture from the sun and chemical energy utilization in all living things and multiple human diseases.

plant biology↗

bioRxiv2023

The Auxin Response Factor ARF27 is required for maize root morphogenesis

Crop root systems are central to nutrition acquisition and water usage. Root hairs and lateral roots contribute to fine-scale patterning of root systems and can offer many advantages for improving root function without drastically impacting overall system architecture. Key genetic regulators underpinning root hair morphogenesis have been well characterized in the model plant Arabidopsis but are less understood in maize. Here, we identify a novel determinant of root hair morphogenesis and auxin responses in maize, AUXIN RESPONSE FACTOR27 (ARF27), using both reverse and quantitative genetic approaches. ARF27 is enriched in maize primary root tissues at both the transcript and protein level. Loss of ARF27 leads to short primary roots and reduced root hair formation, while lateral root density is unaltered. In arf27 roots, auxin-responsive gene expression is dysregulated, which is consistent with the predicted function of this transcription factor. Moreover, a genome wide association study (GWAS) to uncover genetic determinants of auxin-dependent root traits identified ARF27 as a candidate gene. Furthermore, auxin hypersensitive maize genotypes exhibit altered crown root length and surface area in field-grown plants. A gene regulatory network (GRN) was reconstructed and an ARF27 subnetwork was integrated with DAP-seq and GWAS data to identify ARF27 target genes. The ARF27 GRN includes known maize root development genes, such as ROOTLESS CONCERNING CROWN ROOTS (RTCS), ROOTHAIRLESS 3 (RTH3) and RTH6. Altogether this work identifies a novel genetic driver of auxin-mediated root morphogenesis in maize that can inform agricultural strategies for improved crop performance.

plant biology↗

bioRxiv2020

Maize brace roots provide stalk anchorage

Mechanical failure, known as lodging, negatively impacts yield and grain quality in crops. Limiting crop loss from lodging requires an understanding of the plant traits that contribute to lodging-resistance. In maize, specialized aerial brace roots are reported to reduce root lodging. However, their direct contribution to plant biomechanics has not been measured. In this manuscript, we find that brace roots establish a rigid base (i.e. stalk anchorage) to limit plant deflection in maize. The more brace root whorls that contact the soil, the greater the contribution of brace roots to anchorage. Previous studies have linked the number of brace root whorls to flowering time in maize. To determine if flowering time selection alters the brace root contribution to anchorage, a subset of the Hallauers Tuson tropical population was analyzed. Despite a significant change in flowering time, selection neither altered the number of brace root whorls in the soil nor the overall contribution of brace roots to anchorage. These results demonstrate that brace roots provide a rigid base in maize, but the contribution to anchorage is not linearly related to flowering time.

plant biology↗

bioRxiv2019

Interaction between induced and natural variation at oil yellow1 delays flowering in maize

We previously demonstrated that maize (Zea mays) locus very oil yellow1 (vey1) encodes a putative cis-regulatory expression polymorphism at the magnesium chelatase subunit I gene (aka oil yellow1) that strongly modifies the chlorophyll content of the semi-dominant Oy1-N1989 mutants. The vey1 allele of Mo17 inbred line reduces chlorophyll content in the mutants leading to reduced photosynthetic output. Oy1-N1989 mutants in B73 reached reproductive maturity four days later than wild-type siblings. Enhancement of Oy1-N1989 by the Mo17 allele at the vey1 QTL delayed maturity further, resulting in detection of a flowering time QTL in two bi-parental mapping populations crossed to Oy1-N1989. The near isogenic lines of B73 harboring the vey1 allele from Mo17 delayed flowering of Oy1-N1989 mutants by twelve days. Just as previously observed for chlorophyll content, vey1 had no effect on reproductive maturity in the absence of the Oy1-N1989 allele. Loss of chlorophyll biosynthesis in Oy1-N1989 mutants and enhancement by vey1 reduced CO2 assimilation. We attempted to separate the effects of photosynthesis on the induction of flowering from a possible impact of chlorophyll metabolites and retrograde signaling by manually reducing leaf area. Removal of leaves, independent of the Oy1-N1989 mutant, delayed flowering but surprisingly reduced chlorophyll contents of emerging leaves. Thus, defoliation did not completely separate the identity of the signal(s) that regulates flowering time from changes in chlorophyll content in the foliage. These findings illustrate the necessity to explore the linkage between metabolism and the mechanisms that connect it to flowering time regulation.

plant biology↗

bioRxiv2019

Double triage to identify poorly annotated genes in Maize: The missing link in community curation

The sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pipeline identified 17,225 of 130,330 (13%) protein-coding transcripts in the B73 Reference Genome V4 gene set with models of low concordance to available biological evidence. Working with eight graduate students, we used the Apollo annotation editor to curate 86 transcript models flagged by quality metrics and a complimentary method using the Gramene gene tree visualizer. All of the triaged models had significant errors - including missing or extra exons, non-canonical splice sites, and incorrect UTRs. A correct transcript model existed for about 60% of genes (or transcripts) flagged by quality metrics; we attribute this to the convention of elevating the transcript with the longest coding sequence (CDS) to the canonical, or first, position. The remaining 40% of flagged genes resulted in novel annotations and represent a manual curation space of about 10% of the maize genome (~4,000 protein-coding genes). MAKER-P metrics have a specificity of 100%, and a sensitivity of 85%; the gene tree visualizer has a specificity of 100%. Together with the Apollo graphical editor, our double triage provides an infrastructure to support the community curation of eukaryotic genomes by scientists, students, and potentially even citizen scientists.

bioinformatics↗

bioRxiv2017

A Very Oil Yellow1 modifier of the Oil Yellow1-N1989 allele uncovers a cryptic phenotypic impact of cis-regulatory variation in maize

Forward genetics determines the function of genes underlying trait variation by identifying the change in DNA responsible for changes in phenotype. Detecting phenotypically-relevant variation outside protein coding sequences and distinguishing this from neutral variants is not trivial; partly because the mechanisms by which DNA polymorphisms in the intergenic regions affect gene regulation are poorly understood. Here we utilized a dominant genetic marker with a convenient phenotype to investigate the effect of cis and trans-acting regulatory variation. We performed a forward genetic screen for natural variation that suppress or enhance the semi-dominant mutant allele Oy1-N1989, encoding the magnesium chelatase subunit I of maize. This mutant permits rapid phenotyping of leaf color as a reporter for chlorophyll accumulation, and mapping of natural variation in maize affecting chlorophyll metabolism. We identified a single modifier locus segregating between B73 and Mo17 that was linked to the reporter gene itself, which we call very oil yellow1. Based on the variation in OY1 transcript abundance and genome-wide association data, vey1 is predicted to consist of multiple cis-acting regulatory sequence polymorphisms encoded at the wild-type oy1 alleles. The vey1 allele appears to be a common polymorphism in the maize germplasm that alters the expression level of a key gene in chlorophyll biosynthesis. These vey1 alleles have no discernable impact on leaf chlorophyll in the absence of the Oy1-N1989 reporter. Thus, use of a mutant as a simple and efficient reporter for magnesium chelatase activity resulted in the detection of expression-level polymorphisms not readily visible in the laboratory.

genetics↗