G3 Genes|Genomes|Genetics

The Tyr::CreERT2 transgenic mouse lines are essential tools for conditional gene manipulation in melanocytes and are widely used in melanoma research. Two independent lines are in common use: the Bosenberg line and the Larue line. Precise knowledge of transgene integration sites is critical for designing complex genetic crosses, yet the integration sites for these lines have only recently been characterised by whole genome sequencing. Here we report that a Tyr::CreERT2 mouse stock routinely used in BrafCA;Ptenflox melanoma models carries a previously undescribed integration on Chromosome 1, distinct from the previously reported Chromosome 2 integration. Using long-read nanopore sequencing, we mapped the integration to an intergenic locus between Alppl2 and Alpi, revealing a 2,430 bp genomic deletion at the insertion site. We developed position-specific junction PCR and qPCR assays to genotype this allele and confirmed that offspring are born at Mendelian ratios. Given that this stock is associated with elevated spontaneous melanoma penetrance, accurate characterisation of this allele has direct implications for the many laboratories employing this widely distributed melanoma model. SIGNIFICANCEThis study identifies a previously undescribed Tyr::CreERT2 transgene integration on Chromosome 1 in JAX strain 013590, a line widely used across the melanoma research community. Accurate characterisation of this allele has direct practical implications for the many laboratories that rely on this model for studies of melanoma initiation and progression.

The Candida Genome Database (CGD; www.candidagenome.org) is both a model organism database and a fungal pathogen database. As a model organism database, CGD stores data for Candida albicans, which serves as a model species both for other Candida spp. and for non-Candida fungi that form biofilms and undergo routine morphogenic switching. As a fungal pathogen database, CGD now hosts locus pages for six species of the best-studied pathogenic fungi in the Candida group. Pathogenic Candida species have become increasingly drug resistant and there is thus a pressing need for research into basic Candida biology, epidemiology, phylogeny, and potential new antifungals, as well as a single location where all of the available data are collected, curated, and made easily searchable. CGD curates the gene-based Candida experimental literature in real time, extracting, organizing and standardizing gene annotations. CGD also links clinical data on disease to relevant Literature Topics to improve searchability for clinical researchers. Because CGD curates the literature for multiple species and most research focuses on aspects related to pathogenicity, we focus our curation efforts on assigning Literature Topic tags, collecting detailed mutant phenotype data, and assigning controlled Gene Ontology terms with accompanying evidence codes. Our Summary pages for each locus include the primary name and all aliases for that locus, a description of the gene and/or gene product, detailed ortholog information with links, a synteny view, a JBrowse window with a visual view of the gene on its chromosome, links to Phenotype, Gene Ontology, Interactions, and Expression pages, as well as sequence information, references cited on the summary page itself, and any locus notes. The database also serves as a community hub, where we link to various types of reference material of relevance to Candida researchers, including colleague information, news, and notice of upcoming meetings. We routinely survey the community to learn how the field is evolving and how needs may have changed. Here we describe CGDs new modern web interface and multiple new tools that have been added in the last 6 months, allowing, among other things, users to better understand the available expression data for a locus and seamlessly switch between species for a given locus.

Anthropogenic copper (Cu) contamination from agriculture, mining, and industrial runoff creates environmental gradients affecting physiology and behavior in wild populations. While Cu toxicity in Drosophila melanogaster is well characterized, it remains unclear whether Cu resistance is one integrated trait or several independently evolving components. Using a subset of recombinant inbred lines (RILs) from the Drosophila Synthetic Population Resource (DSPR), we measured three components of Cu response: feeding avoidance, oviposition avoidance, and physiological tolerance (median lethal time, LT50) under sustained Cu exposure. All three traits showed substantial phenotypic variation among RILs. Feeding and oviposition avoidance were both highly heritable (H 2 ~ 0.88), and RIL identity accounted for 49.5% of the variance in LT50. However, the three traits showed no significant correlation across RILs, indicating distinct genetic architecture. We identified a single male specific quantitative trait locus (QTL) on chromosome 2R that explained 17.7% of the variation in feeding preference; the interval included candidate detoxification genes Jheh1, Jheh2, Jheh3 and sano, the latter of which is associated with olfactory behavior. No significant QTL were detected for oviposition preference, suggesting a highly polygenic structure that may difficult to detect with our limited panel size. Together, these results indicate that Cu resistance in D. melanogaster is genetically modular. Behavioral avoidance during feeding, oviposition, and physiological tolerance are heritable but architecturally distinct components, each with potential to respond to selection independently.

Degenerate sex chromosomes (e.g., the Y or W) remain among the most difficult regions of eukaryotic genomes to assemble because they are highly repetitive and structurally complex. While many recent lepidopteran genome assemblies contain W chromosome scaffolds, the accuracy and consistency of these assemblies remain uncertain, due to lack of replication within species. However, the silkworm moth Bombyx mori is an exception, with numerous independent W chromosome assemblies currently available. We compared six independent long-read W chromosome assemblies, which proved to be highly inconsistent in structure, even among nominally identical genotypes. In contrast, autosomes and the Z chromosome were highly concordant among these assemblies, indicating that current assemblies remain unreliable for resolving W chromosome structure. Additionally, we analyzed repetitive DNA content across the genome. First, we combined assembly- and read-based repeat-discovery methods to generate a comprehensive and curated Bombyx repeat library, which we make publicly available. Assessing repeat content and diversity, we find that the W chromosome is comprised almost entirely of repetitive DNA but that the richness and divergence of W repeats are substantially reduced compared to the remainder of the genome. This reduced diversity, initially inferred from assemblies, is confirmed by direct analysis of PacBio HiFi sequencing reads partitioned by chromosome. We also demonstrate that the B. mori p50ma genome assembly (the current NCBI RefSeq assembly) carries a W chromosome and mitochondrial genome introgressed from B. mandarina. This discovery provided an opportunity to investigate patterns of divergence between closely related W haplotypes, revealing substantially more rapid turnover of repeat content on the W than elsewhere in the genome. Together, our results show that current W chromosome assemblies, although structurally flawed, nevertheless capture robust biological patterns of repeat diversity and support the hypothesis that rapid repeat turnover, rather than frequent chromosome replacement, may underlie the apparent lack of W chromosome homology across Lepidoptera.

During meiosis, accurate chromosome segregation requires significant condensation and compaction. These processes are mediated by condensins, cohesins, and histone tail modifications. We identified that MET-2, a histone methyltransferase that catalyzes the dimethylation of histone H3 lysine 9 (H3K9me2), differentially impacts chromosome size in the male vs. female C. elegans germline. In met-2 null worms, autosomes during spermatogenesis are significantly larger than wild type, while chromosome size during oogenesis is unaffected. X-univalent size in males is also unaffected by loss of MET-2, indicating MET-2 differentially regulates autosomal and X-chromosome compaction in male spermatogenesis. Autosome size is not changed when males harbor a catalytically deficient MET-2 (met-2CD) or have mutations preventing germline histone H3K9 methylation (H3K9R). In addition, met-2 males, in contrast to met-2CD or H3K9R males, have more active RNA pol II in later stages of meiosis. These data suggest MET-2 plays a noncatalytic role in mediating chromosome structure and transcription. In met-2 male germ lines, genes on the X chromosome, which is typically enriched in H3K9me2, are significantly more likely to be upregulated than genes on autosomes, even though X-univalent size is unchanged. These results suggest that MET-2 plays a sex-specific role that is not limited to its enzymatic activity.

Transgenic GAL4 lines are widely used in Drosophila to label and manipulate specific cell types, but the resulting reporter expression patterns do not always represent ongoing driver activity. We generated a collection of neuropeptide T2A-GAL4 knock-ins and characterized their expression by native-fluorescence imaging using UAS-CD8::GFP and a Brp-miRFP680 knock-in, eliminating the need for immunostaining. During characterization of these lines, we observed cases in which adult GFP patterns did not match the on-going GAL4 activity, as well as cases in which GAL4 produced adverse cellular effects. Using temperature-sensitive GAL80, we found that adult GFP expression in certain neurons driven by CCHa2-T2A-GAL4 and Dsk-T2A-GAL4 depended on GAL4 activity before eclosion and was not reproduced by adult-only induction. Several GAL4 lines also showed dominant developmental phenotypes. Heterozygous Burs-T2A-GAL4 animals, for example, displayed wing-expansion defects that were fully suppressed by GAL80. Severe wing defects were not accompanied by a reduction in the number of reporter-labeled neurons before eclosion, but the morphology of these neurons were affected. These observations illustrate how developmental driver history and GAL4-associated cellular effects can influence reporter patterns in the adult nervous system.

During pathogen infection, the C. elegans transcription factor SKN-1 is activated through the p38 MAPK cascade to protect against oxidative damage and promote host survival. SKN-1, the functional ortholog of the mammalian Nrf family of transcription factors, participates in various biological processes and is subject to complex regulation. In this study, we identify a previously unrecognized role for LIN-23 in regulating SKN-1 during adult stress conditions. LIN-23 is an F-box protein that functions as the substrate recognition component of the Skp-Cullin-F-box (SCF) E3 ubiquitin ligase complex and has been implicated in diverse cellular processes, including cell cycle regulation, neurite outgrowth, and centrosome duplication. Although LIN-23 has previously been reported to negatively regulate SKN-1 in other contexts, our findings demonstrate that during pathogen exposure, LIN-23 acts as a positive regulator of SKN-1 activity. Specifically, loss of LIN-23 reduced SKN-1 activity and decreased survival of infected adult animals. Having established this novel relationship between LIN-23 and SKN-1, we investigated the mechanism by which LIN-23 regulates SKN-1 activity. Because SKN-1 activation occurs via the p38 MAPK signaling pathway, followed by nuclear localization, we examined whether LIN-23 influences these events, but observed no decrease in p38 MAPK phosphorylation or SKN-1 nuclear localization. Instead, we provide evidence that LIN-23 function is dependent on WDR-23, a well-established negative regulator of SKN-1. A model is proposed in which LIN-23 promotes SKN-1 activity by targeting nuclear WDR-23 for degradation. SUMMARYSKN-1 is a C. elegans transcription factor and the ortholog of mammalian Nrf proteins. Under oxidative stress conditions, including those induced by infection, SKN-1 plays a protective role. Since SKN-1 regulation is complex, understanding the mechanisms that modulate its activity is important for defining stress response pathways. The authors demonstrate that the F-box protein LIN-23 functions as a positive regulator of SKN-1. Their genetic analyses indicate that LIN-23 does not influence the canonical SKN-1 activation cascade. Instead, LIN-23 appears to regulate SKN-1 activity by modulating a negative regulator, WDR-23.

Genetic interactions contribute to phenotypic variation, yet most studies characterize them in a small number of reference backgrounds rather than across natural populations. Studying genetic interactions in Caenorhabditis elegans is facilitated by RNAi by feeding, which enables gene-specific knockdowns across many genetic backgrounds without the need to construct individual mutant lines. However, individually screening hundreds of isolates across many RNAi conditions is laborious. Here, we developed a pooled platform that uses whole-genome sequencing to quantify the fitness of hundreds of genetically distinct C. elegans strains competing in a single flask. We leveraged this platform to evaluate RNAi responses in a pooled population of RNAi-sensitive C. elegans strains and identified two classes of QTL that influence RNAi responses. The first class influences responses to knockdowns of specific genes and is exemplified by a QTL that is specific to knockdown of mig-6. The second class influences general RNAi-response across multiple knockdowns. One QTL in this class localized to the right arm of chromosome III and was detected by both GWA and xQTL mapping, which suggests that a common large-effect variant underlies this QTL. We identified a T96K missense change in the dsRNA receptor SID-2 as the underlying causal variant. The 96K allele resides in the extracellular domain of SID-2 and confers increased RNAi sensitivity relative to the 96T allele. We hypothesize that the 96K allele enables greater uptake of ingested lumenal dsRNA through higher-affinity binding to the dsRNA phosphate backbone. The platform we developed enables systematic mapping of genetic interactions across natural populations at a previously impractical scale.

The sexual identity of specific tissues can be altered through cell-autonomous manipulation of the sex determination pathway in the nematode Caenorhabditis elegans. Previously described sexually mosaic strains carried multicopy transgenic arrays that are potentially subject to transgene silencing or misexpression artefacts. We used here the CRISPR/Cas9 system to engineer strains in which coding sequences for either a masculinizing agent (FEM-3) or a feminizing agent (intracellular domain of TRA-2) are inserted with a trans-splicing system at the 3 end of endogenous genetic loci that are known to be expressed in either a neuron-specific (rab-3) or gut-specific (elt-2) manner. We validate the tissue-specific sex-transformations induced by these genomic manipulations through expression analysis of known sex-specific genes and through assaying behavioral readouts. These strains may serve the worm community as standard reference tools to study the consequences of tissue-specific sex transformations.

The cultivated dahlia has a complex evolutionary history that is likely the driver for its diverse floral forms. Previous studies have proposed cultivated dahlia as an allotetraploid, autotetraploid, and in one study an auto-allooctoploid. Here, we used PacBio HiFi long-reads and Dovetail Omni-C reads to assemble and annotate a genome for a tetraploid Dahlia variabilis cultivar Edna C. We identified Edna C as a segmental tetraploid with signature of auto- and allo-polyploidy events based on subgenome-specific repeat partitioning and single-copy gene tree construction within homoeologous groups. Additionally, we identified a cultivated dahlia-specific centromeric monomer shared between Dahlia variabilis Edna C and the Dahlia pinnata Kelvin Floodlight. Based on finding three major chromosome clusters, we propose that Dahlia variabilis Edna C is a segmental tetraploid with evidence of auto- and allopolyploidy.

Site-specific recombinases, such as Cre recombinase (Cre) and FLP recombinase (FLPase), are popular tools that enable precise spatiotemporal control over fluorescent reporter genes. However, studies show that increased Cre expression can lead to cytotoxic phenotypes including DNA damage, cell cycle arrest, cell death, and aneuploidy. In contrast, there is little-to-no known cytotoxicity associated with FLPase. FLPase is considered to be the safer, if less efficient, recombinase. To compensate for decreased efficiency, researchers will often increase expression of the FLPase to ensure a complete gene edit. Despite previous evidence that FLPase is nontoxic at high doses, we report that high expression of FLPase from multi-copy extrachromosomal arrays can disrupt synaptic protein trafficking in C. elegans. We discovered several off-target effects of high FLPase expression including mislocalization of the pre-synaptic marker FLPon::mScarlet::SYD-2 and decreased synaptic abundance, transport, and expression of the ionotropic glutamate receptor subunit GLR-1. Neither overexpression of an inactive FLPase, low activity FLPase, nor mCherry under the same promoter elicited these effects. However, single-copy expression of the FLPase construct reliably tags FLPon::mScarlet::SYD-2 and does not lead to these off-target effects. This work supports growing awareness that tyrosine recombinases can become cytotoxic at high doses.

CERIS-JGRA replaces the environmental mean in Finlay-Wilkinson regression with a climate-derived index, so that reaction norm association mapping can dissect the genetics of phenotypic plasticity. Its defining design choice forecloses that objective. An index correlated at{rho} with the environmental means decomposes exactly into{rho} times the mean plus a residual, and its loading on informative variation orthogonal to the mean,{tau} , cannot exceed {surd}(1 -{rho} {superscript 2}). Sensitivity independent of mean performance is orthogonal to the mean by definition, reaching the slope only through{tau} , and the non-centrality of a plasticity-specific test goes as{tau} {superscript 2}. The algorithm maximizes{rho} , minimizing by construction the channel carrying the signal it is used to detect. Simulation confirms this. A parameter-free expression reproduces observed power across 189 conditions to a root mean square error of 0.030. Power to detect plasticity-specific loci falls from 0.64 at{rho} = 0 to 0.009 at{rho} = 0.99 and 0.003 at{rho} = 0.996, invariant to architecture, coupling and environment count. Holding{rho} at 0.5 while reducing{tau} from 0.87 to zero drops power from 0.576 to 0.000:{rho} governs discovery as a proxy, not a cause. Panel size compensates, scaling as 1 / (1 -{rho} {superscript 2}): 125-fold at{rho} = 0.996. Reimplemented on published sorghum data, the search returns the published index, photothermal time 18 to 43 days after planting, first of 27,144 candidates, at{tau} = 0.083. We recommend reporting{tau} beside{rho} , and reading slope loci found below{tau} {approx} 0.15 as mean-performance loci. Article summaryCrop geneticists commonly replace a field trials average yield with an index built from weather data, then map the genes controlling how a plant responds to its environment. We show by algebra that this cannot work as intended. The index is chosen to track the trial average as closely as possible, and the closer it tracks, the less room remains for the independent signal that plasticity genes need to be detected. Simulation and a reanalysis of published sorghum data agree. The search that makes an index good for predicting performance is the same search, run backwards, that makes it useless for finding genes.

Tillering plasticity is a key adaptive trait in sorghum influencing resource use efficiency via a plants ability to adjust branching to neighbour density. Neighbour detection through red:far-red (R:FR) light sensing regulates this plasticity. While molecular pathways regulating tiller outgrowth are partly known, the genetic architecture underlying density-responsive tillering has not been resolved in any grass species. A sorghum diversity panel (n = 895) was evaluated over two growing seasons (2023 and 2024) with plant spacing ranging from 5 to 60 cm. A linear mixed model incorporating neighbour distance and tiller counts estimated genotype-specific response. GWAS was conducted on isolated plants (no neighbours within 60 cm) and on estimated responsiveness to neighbours. GWAS identified 52 baseline tillering QTLs and 50 for spacing responsiveness, with 10 overlapping, suggesting shared genetic control. Comparison with 41 R:FR pathway candidate genes revealed enrichment in responsiveness QTLs (5/50, 10%) versus baseline (0/52, 0%) (Fishers exact test, P = 0.025). Our model identified 40 unique density-responsive tillering QTL regions. Reducing genotype response to neighbour absence could be a selection target to develop water-efficient sorghum varieties where controlled architecture may be more valuable than natural plasticity.

Transposable elements (TEs) are major contributors to genomic and regulatory variation and can influence the expression of nearby genes in response to environmental stress. The invasive fruit fly Drosophila suzukii, whose genome is composed of nearly 50% TE-derived sequences, provides an excellent model to investigate the regulatory impact of TEs on stress responses. Although previous studies found no global association between TEs and oxidative stress transcriptomic response in this species, the effects of individual TE insertions remain largely unexplored. Here, we investigated the role of two polymorphic intronic TE insertions, Mrp4-TE and inaE-TE, located within genes implicated in the oxidative stress response in D. melanogaster. Using wild-type strains of D. suzukii, we assessed the effect of these insertions on gene expression following oxidative stress induced by paraquat exposure. We found that their corresponding nearby genes Mrp4 and inaE were upregulated after paraquat treatment and that this response was significantly stronger in flies carrying the corresponding TE insertions. Allele-specific expression analyses further showed that the alleles containing the TE insertions exhibited a tendency towards higher expression levels than alleles lacking the insertions, both under control and oxidative stress conditions, supporting a cis-regulatory effect. In addition, Mrp4-TE was associated with increased sensitivity to oxidative stress. Together, our results provide the first evidence that TE insertions can modulate oxidative stress-responsive gene expression in D. suzukii. These findings highlight the importance of investigating individual TE insertions to understand the genetic and regulatory mechanism underlying stress responses, adaptation, and invasion success in this species.

Transforming Growth Factor beta (TGF-{beta}) signaling helps orchestrate multiple organismal traits in animals by regulating target gene expression. However, how this pathway's transcriptional regulators, called Smads, control target gene expression to generate different traits is not well understood. Using the C. elegans system, we identified the master chromatin remodeler B-lymphocyte maturation protein-1 (BLMP-1, a Kruppel-like zinc finger protein homologous to human PRDM1/BLIMP1) as a partner in Smad-mediated gene expression regulation. Previous research showed BLMP-1/PRDM1 controls organismal traits that the C. elegans TGF-{beta} superfamily member DBL-1 also affects. We identified genetic interactions between the DBL-1 pathway and blmp-1 for these traits. While BLMP-1/PRDM1 and DBL-1 pathway signaling had an additive effect on body size, blmp-1 mutants were epistatic to DBL-1 pathway mutants for male tail development, hermaphrodite gonad development, brood size, lipid levels, movement, and survival traits. We showed DBL-1 signaling transcriptionally regulates blmp-1 expression. We also identified a physical interaction between the DBL-1 pathway Smads and BLMP-1/PRDM1 using yeast-two hybrid analyses. Using bioinformatics and qPCR analysis, we showed that Smads and BLMP-1/PRDM1 regulate expression of common downstream target genes. Our work identifies novel interactions between the DBL-1 signaling pathway and BLMP-1, two conserved major transcriptional regulators, that ultimately influence a spectrum of organismal traits. We propose a model whereby BLMP-1/PRDM1 regulates DBL-1 signaling by acting as a gatekeeper, remodeling the chromatin architecture to control the access of the Smad complex to target genes. Together, our results reveal a direct link between a TGF-{beta} signaling pathway and a PRDM1-family master transcription regulator and offer clues to how they interact to control larval and adult traits. Our work suggests a conserved mechanism of transcriptional control of developmental traits by the Smad-PRDM axis.

Long breeding cycles constrain genetic gain in Scots pine, while mature progeny trials can provide reference populations for genomic selection. We combined phenotypic records from two German trials established in 1990 with dense SNP data. We complemented these data with an offspring-level parentage audit, duplicate filtering, and simulations of breeding strategies. Of 1,986 phenotype-matched genotyped trees, 1,668 formed the parentage-green set and 1,651 remained after exclusion of 17 near-duplicate samples. The final population comprised 1,521 supported controlled-cross offspring and 130 mother-known, father-unknown offspring from 87 progeny labels. Across 14 trait-by-age measurements, GBLUP gave the clearest improvements for diameter and volume from age 20 onwards, whereas height was more mixed. At age 35, ABLUP versus GBLUP heritability was 0.155 versus 0.235 for diameter, 0.265 versus 0.263 for height, and 0.172 versus 0.236 for volume. Leave-progeny-out predictive ability increased from 0.205 to 0.238, 0.249 to 0.265, and 0.203 to 0.239, respectively. SNPscan_breeder simulations compared phenotypic selection, progeny testing, cross-generation genomic selection, and genomic selection with phenotypic thinning under five diversity variants. Progeny testing produced the greatest cumulative gain, but its 45-year cycle reduced annual response. Under the base assumptions, genomic selection with phenotypic thinning gave the highest annual gains for height and fungal resistance, whereas pure genomic selection gave the highest annual diameter gain. Genomic strategies accumulated more kinship than conventional strategies, although a {lambda} = 0.10 kinship penalty improved founder retention with little loss of gain; no mitigation option simultaneously maximised gain, prediction accuracy, and diversity. These results support genomic shortlisting within a field-tested programme with explicit reference-population updating and diversity management.

Genotype-by-environment interactions (GxE), or differences in how genotypes perform across varying environments, are a pervasive source of phenotypic variation and underlie differences in local adaptation. Though GxE is well characterized across kingdoms of life, less is known about what causes GxE interactions, particularly at the molecular level. In this study, we use allele-specific gene expression estimates in a maize (Zea mays L.) B73 x Mo17 hybrid to isolate cis-regulatory effects on gene expression for each of the two parental alleles. The hybrid was grown in two environments, and expression differences between the parental alleles were used to characterize allele-by-environment (AxE) interactions and study the influence of gene-proximal sequence variation on transcript abundance AxE. We tested the hypothesis that gene-proximal sequence variation can cause GxE in gene expression by modifying transcription factor binding. Our results show that sequence variation in gene promoter regions has a small but consistent enrichment in genes that show transcriptional AxE. Further, we demonstrate that differential transcription factor binding potential caused by sequence variation is also enriched in AxE genes. Predictive models trained on sequence and transcription factor binding variation show that while these features contain some information about whether a gene will show transcriptional AxE, they alone are not sufficient to reliably distinguish AxE genes. These findings support the hypothesis that gene expression GxE can be caused by sequence variation that modifies transcription factor binding, while also reinforcing the complex and context-specific nature of GxE interactions.

Soybean, a widely cultivated leguminous crop valued for its protein, amino acids, and oil, faces the challenge of maintaining protein levels, which have an inverse correlation with yield. Reducing leaf chlorophyll levels could increase seed protein levels without compromising yield; however, this is yet to be tested. Therefore, to understand the impacts of low chlorophyll mutations on soybean yield and seed composition, we screened and compared 25 low chlorophyll soybean mutants to their 11 dark green parents. PI548210 (Lincoln mutant) demonstrates a higher concentration of protein without affecting yield compared to its dark green parent PI548362 (Lincoln), suggesting it as a good candidate for further large-scale field trials. PI547555 (Y11/y11, Clark mutant) demonstrates a lower concentration of oil without impacting yield, alongside lower gross photosynthesis, but with chlorophyll levels in the pod and seed tissues that are comparable to its dark green parent PI548533 (Clark). These findings are consistent with the oil concentration of the soybean being influenced by pod and seed photosynthesis, which is correlated with pod height and row spacing. Chlorophyll levels in the leaf do not necessarily correlate with those in the pod and seed of low chlorophyll mutants, possibly due to substantially lower expression of chlorophyll synthesis genes in the pod and seed. SIGNIFICANCEO_LIPI548210 (Lincoln mutant), one of twenty-five low chlorophyll soybean mutants, demonstrates a higher concentration of soybean protein without affecting yield compared to its dark green parent (Figure 1 and Table 1). C_LIO_LIPI547555 (Y11/y11, Clark mutant), a low chlorophyll soybean mutant, demonstrates a reduced concentration of soybean oil without impacting yield, alongside lower gross photosynthesis in pod and seed tissues compared to its dark green parent (Figures 3 and Table 2). These findings suggest that the oil concentration of the soybean is influenced by pod and seed photosynthesis, which is in turn influenced by pod height and row spacing (Figure 2). C_LIO_LIChlorophyll levels in the leaf do not necessarily correlate with those in the pod and seed of low chlorophyll mutants, possibly due to substantially lower expression of chlorophyll synthesis genes in the pod and seed (Figure 5-6). C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/744892v1_fig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@4282dcorg.highwire.dtl.DTLVardef@9d565forg.highwire.dtl.DTLVardef@1918292org.highwire.dtl.DTLVardef@1359b1_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO Two low chlorophyll mutants are as healthy as their dark green parents. Lincoln and its low chlorophyll mutant, left; Clark and its low chlorophyll mutant, known as Y11/y11, right. It can be seen by eye that the plants have low chlorophyll (light green/yellow leaves) but a similar growth habit to their dark green parents. See Supplemental Figures 1-4 for contrast, where low chlorophyll mutants are stunted in growth compared to their dark green parents. C_FIG O_TBL View this table: org.highwire.dtl.DTLVardef@657ec9org.highwire.dtl.DTLVardef@166e75borg.highwire.dtl.DTLVardef@df23c7org.highwire.dtl.DTLVardef@1a60124org.highwire.dtl.DTLVardef@194ed96_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 1.C_FLOATNO O_TABLECAPTIONComparison of seed yield, weight, seed composition between low chlorophyll mutants and their dark green parents. ANOVA is used with linear mixed model (random effect = block, fixed effect = variety). Least squares mean is used to compare. For yield and seed composition, N=4 blocks. For leaf chlorophyll (SPAD), N=40. Yield is average yield per plant (g). n.s. = not significant. C_TABLECAPTION C_TBL O_FIG O_LINKSMALLFIG WIDTH=179 HEIGHT=200 SRC="FIGDIR/small/744892v1_fig3.gif" ALT="Figure 3"> View larger version (26K): org.highwire.dtl.DTLVardef@7a368aorg.highwire.dtl.DTLVardef@192b8f0org.highwire.dtl.DTLVardef@1abb738org.highwire.dtl.DTLVardef@89e978_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 3.C_FLOATNO Light response curve of low chlorophyll mutant (Y11/y11, PI547555) and its parent (Clark, PI548533). Rates of net and gross photosynthesis of low chlorophyll (white) and dark green parents (black) pods under field conditions. Each dot represents a value (n=4) {+/-}SE. We assumed that the seeds greatly inhibited the transmittance of light through the pod and used photosynthetic photon flux density for a single-side. C_FIG O_TBL View this table: org.highwire.dtl.DTLVardef@3f0528org.highwire.dtl.DTLVardef@16ba712org.highwire.dtl.DTLVardef@a5ab2aorg.highwire.dtl.DTLVardef@889254org.highwire.dtl.DTLVardef@3efa4f_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2.C_FLOATNO O_TABLECAPTIONPod photosynthetic parameters for low chlorophyll mutant (Y11/y11, PI547555) and its parent (Clark, PI548533). Photosynthesis was measured 1 September through 15 September 2021 at the University of Illinois Energy Farm in Urbana, IL, USA. The statistical analysis was done using ANOVA with linear mixed model (alpha=0.05). N=4 {+/-} SEM for Clark and N=3 {+/-} SEM for Y11. C_TABLECAPTION C_TBL O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/744892v1_fig2.gif" ALT="Figure 2"> View larger version (23K): org.highwire.dtl.DTLVardef@a36c26org.highwire.dtl.DTLVardef@1116c8forg.highwire.dtl.DTLVardef@ee5e61org.highwire.dtl.DTLVardef@1766712_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 2.C_FLOATNO Low chlorophyll mutant (Y11/y11, PI547555) and its parent (Clark, PI548533) differ in concentration of seed oil, which interacts with height of pod and row spacing. The box plots show the median (central line), the lower and upper quartiles (box) and the minimum and maximum values (whiskers). The statistical analysis was done using ANOVA with linear mixed model (n=3 blocks, alpha=0.05). Least squares mean is used to compare. N.s., non- significant in the analysis. A. Concentration of oil in low chlorophyll mutant seeds from the upper canopy decreased by 4% compared to the dark green parent (18.2% vs 19%) while there was no difference between them in the seeds from the lower canopy (20.2% vs 20.6%). B. Schematic layout of 2013 field setting showing two different row spacings. C. Concentration of oil in low chlorophyll mutant decreased by 2% in 38cm spacing (21.4% vs 22%) while there was no difference in 19cm spacing (21.3% vs 21.7%) in 2013 field. C_FIG O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=162 SRC="FIGDIR/small/744892v1_fig5.gif" ALT="Figure 5"> View larger version (22K): org.highwire.dtl.DTLVardef@68e508org.highwire.dtl.DTLVardef@94a6ccorg.highwire.dtl.DTLVardef@152a187org.highwire.dtl.DTLVardef@1eae137_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 5C_FLOATNO (greenhouse). Correlation between the level of leaf chlorophyll (x-axis: SPAD reading) and the level of immature pod or seed chlorophyll (y-axis, mg/g DW). Line represents the linear regression model. R-squared is a coefficient of determination, the percentage of the response variable variation that is explained by the linear model. Pod is labeled by the fresh weight of seeds it contained. A. Level of chlorophyll of 25-100mg pod (n=18). B. Level of chlorophyll of 100-200mg pod (n=17) . C. Level of chlorophyll of 25-100mg seed (n=17). D. Level of chlorophyll of 100-200mg seed (n=20). C_FIG O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=180 SRC="FIGDIR/small/744892v1_fig6.gif" ALT="Figure 6"> View larger version (28K): org.highwire.dtl.DTLVardef@167fd88org.highwire.dtl.DTLVardef@361472org.highwire.dtl.DTLVardef@786325org.highwire.dtl.DTLVardef@1b53855_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 6.C_FLOATNO Levels of gene expression in chlorophyll synthesis pathway. A. CHL common pathway genes; Glutamyl-tRNA reductase (GluTR). Glutamate 1- semialdehyde aminotransferase (GSA-AT). ALA dehydratase (ALAD). Uroporphyrinogen III synthase (UROS). Uroporphyrinogen III decarboxylase (UROD). Protoporphyrinogen IX oxidase (PPO). B. Mg branch; Mg-chelatase (Mgch). Magnesium-protoporphyrin IX monomethyl ester cyclase (MPEC). Protochlorophyllide reductase (POR). 3,8-divinyl protochlorophyllide a 8-vinyl-reductase (4VCR). Heme pathway; Ferrochelatase (FECH). Heme oxygenase (HO). Phytochromobilin synthase (HY). Data come from Severin et al (2010). RPKM, reads per kilobase per million mapped reads. DAF, days after flowering. The source seed is experimental line A81-356022 which was generated by introgressing G. soja (PI468916) into G. max (A81-356022). C_FIG

Targeted protein turnover of the transcription factor C/EBP is enhanced by the Tribbles (Trib) pseudokinase family of adaptor proteins, which bind to a conserved degron motif in C/EBP substrate and recruit a cognate COP1 E3 ligase to ubiquitinate C/EBP for degradation. We identified a conserved degron in the Drosophila C/EBP ortholog Slbo and fused this motif to a fluorescent protein (GFP or RFP) under the control of a constitutive promoter. Transgenic flies expressing this fluorescent protein (FP)::degron transgene, which we call the Fluorescent Ubiquitination-based Trbl Turnover Indicator (or FUTTI) sensor, showed reduced levels of fluorescence in response to increased levels of Drosophila Tribbles (Trbl) and conversely, increased levels when Trbl activity was reduced. Mutations in the Trbl conserved pseudokinase substrate binding pocket and in a divergent PEST-like motif in the C-terminal tail region disrupted Trbl activity in the FUTTI assay. These data indicate that FUTTI will be a valuable tool to identify sites of Trbl activity in vivo and the critical features of the protein required for function.

Decades of research has uncovered a wealth of mechanistic information about the development of sensory bristles in Drosophila melanogaster. By studying large-effect, often loss-of-function mutations, many genes have been associated with bristle development, morphology, patterning, and number. Equally, the number of bristles present in certain areas of the fly cuticle is a classic quantitative trait, the genetic basis of which has been studied using a range of tools, from artificial selection to QTL (Quantitative Trait Locus) mapping. Such studies have often implicated well-understood bristle development genes as contributing to natural variation in bristle number. Here we contribute to the study of bristle number genetic variation in flies by executing a GWAS (genomewide association study). We generated whole genome sequences for 897 phenotyped male D. melanogaster individuals derived from a wild-derived, but lab-adapted outbred population, revealing - following quality control and filtering - over 780,000 variants with frequencies greater than 5%. Using these data we estimated the SNP (Single Nucleotide Polymorphism) heritability for ABN (abdominal bristle number) and SBN (sternopleural bristle number) as 0.28 and 0.35, respectively. These values indicate that our set of genotyped variants collectively explain a substantial fraction of the variance in phenotype in the mapping panel. Subsequently, genome scans revealed 1085 (ABN) and 211 (SBN) genomewide significant sites, and - due to extensive LD (Linkage Disequilibrium) in our panel - nearly all these sites are clustered into three locations; We find a GWAS hit for ABN in the middle of chromosome 3L, and hits for SBN at the tip of the X chromosome (where several prior mapping studies have resolved QTL for bristle number), and on 2L. Surveying existing studies that identified genes that control bristle number/development, we highlight several candidates that may segregate for causative, functional variants.