Search

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 alleleOy1-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 callvery oil yellow1. Based on the variation in OY1 transcript abundance and genome-wide association data,vey1is predicted to consist of multiple cis-acting regulatory sequence polymorphisms encoded at the wild-typeoy1alleles. Thevey1allele appears to be a common polymorphism in the maize germplasm that alters the expression level of a key gene in chlorophyll biosynthesis. Thesevey1alleles have no discernable impact on leaf chlorophyll in the absence of theOy1-N1989reporter. 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.

We previously demonstrated that maize (Zea mays) locusvery oil yellow1 (vey1)encodes a putative cis-regulatory expression polymorphism at the magnesium chelatase subunit I gene (akaoil yellow1) that strongly modifies the chlorophyll content of the semi-dominantOy1-N1989mutants. Thevey1allele of Mo17 inbred line reduces chlorophyll content in the mutants leading to reduced photosynthetic output.Oy1-N1989mutants in B73 reached reproductive maturity four days later than wild-type siblings. Enhancement ofOy1-N1989by the Mo17 allele at thevey1QTL delayed maturity further, resulting in detection of a flowering time QTL in two bi-parental mapping populations crossed toOy1-N1989. The near isogenic lines of B73 harboring thevey1allele from Mo17 delayed flowering ofOy1-N1989mutants by twelve days. Just as previously observed for chlorophyll content,vey1had no effect on reproductive maturity in the absence of theOy1-N1989allele. Loss of chlorophyll biosynthesis inOy1-N1989mutants and enhancement byvey1reduced CO2assimilation. 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 theOy1-N1989mutant, 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.

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.