A Twisted Fate: How California\u27s Premier Environmental Law Has Worsened the State\u27s Housing Crisis, and How To Fix It

California, the iconic Golden State, holds the infamous record for the largest population of people experiencing homelessness in the United States. These record-setting numbers have been steadily on the rise for decades and are due in large part to the state’s severe housing shortage, which is currently just under one million housing units. From those directly experiencing homelessness to those living in the country’s most expensive zip codes, the compounding economic and social impacts of the crisis touch every Californian. The extent of the crisis is not lost on California’s leaders, but despite countless initiatives on both the state and local levels to mitigate the shortage, no one can seem to build housing fast enough. One major roadblock to building more housing is the California Environmental Quality Act (CEQA). The Act was enacted in 1970 as a pioneering law to protect the environment from adverse developmental impacts. However, today, those opposing multifamily development have turned what was supposed to be a legislative tool for environmental protection into a convoluted tool to oppose multifamily housing development. CEQA has long been identified as a challenge to development, but after decades of seemingly miniscule reforms for a substantial problem, it is time for California to shift its perspective and seek solutions outside itself. This Comment will detail some of California’s greatest missteps in the history of CEQA. It will then consider what California could learn from three other states facing similar housing shortages and how these states have reformed their own environmental laws similar to CEQA. Lastly, this Comment will encourage California to shift its perspective on the types of development reforms that are subject to CEQA reform by including all types of housing in future reforms

Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping.

Key messageA high-resolution genetic map combined with haplotype analyses identified a wheat ortholog of rice gene APO1 as the best candidate gene for a 7AL locus affecting spikelet number per spike. A better understanding of the genes controlling differences in wheat grain yield components can accelerate the improvements required to satisfy future food demands. In this study, we identified a promising candidate gene underlying a quantitative trait locus (QTL) on wheat chromosome arm 7AL regulating spikelet number per spike (SNS). We used large heterogeneous inbred families ( > 10,000 plants) from two crosses to map the 7AL QTL to an 87-kb region (674,019,191-674,106,327 bp, RefSeq v1.0) containing two complete and two partial genes. In this region, we found three major haplotypes that were designated as H1, H2 and H3. The H2 haplotype contributed the high-SNS allele in both H1 × H2 and H2 × H3 segregating populations. The ancestral H3 haplotype is frequent in wild emmer (48%) but rare (~ 1%) in cultivated wheats. By contrast, the H1 and H2 haplotypes became predominant in modern cultivated durum and common wheat, respectively. Among the four candidate genes, only TraesCS7A02G481600 showed a non-synonymous polymorphism that differentiated H2 from the other two haplotypes. This gene, designated here as WHEAT ORTHOLOG OF APO1 (WAPO1), is an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1 (APO1), which affects spikelet number. Taken together, the high-resolution genetic map, the association between polymorphisms in the different mapping populations with differences in SNS, and the known role of orthologous genes in other grass species suggest that WAPO-A1 is the most likely candidate gene for the 7AL SNS QTL among the four genes identified in the candidate gene region

Phenomic versus genomic prediction—A comparison of prediction accuracies for grain yield in hard winter wheat lines

Abstract Common bread wheat (Triticum aestivum L.) is a key component of global diets, but the genetic improvement of wheat is not keeping pace with the growing demands of the world's population. To increase efficiency and reduce costs, breeding programs are rapidly adopting the use of unoccupied aerial vehicles to conduct high‐throughput spectral analyses. This study examined the effectiveness of multispectral indices in predicting grain yield compared to genomic prediction. Multispectral data were collected on advanced generation yield nursery trials during the 2019–2021 growing seasons in the Colorado State University Wheat Breeding Program. Genome‐wide genotyping was performed on these advanced generations and all plots were harvested to measure grain yield. Two methods were used to predict grain yield: genomic estimated breeding values (GEBVs) generated by a genomic best linear unbiased prediction (gBLUP) model and phenomic phenotypic estimates (PPEs) using only spectral indices via multiple linear regression (MLR), k‐nearest neighbors (KNNs), and random forest (RF) models. In cross‐validation, PPEs produced by MLR, KNN, and RF models had higher prediction accuracy (r¯:0.41≤r¯≤0.48) than GEBVs produced by gBLUP ( r¯=0.35). In leave‐one‐year‐out forward validation using only multispectral data for 2020 and 2021, PPEs from MLR and KNN models had higher prediction accuracy of grain yield than GEBVs of those same lines. These findings suggest that a limited number of spectra may produce PPEs that are more accurate than or equivalently accurate as GEBVs derived from gBLUP, and this method should be evaluated in earlier development material where sequencing is not feasible

Identification and characterization of a natural polymorphism in FT-A2 associated with increased number of grains per spike in wheat.

Key messageWe discovered a natural FT-A2 allele that increases grain number per spike in both pasta and bread wheat with limited effect on heading time. Increases in wheat grain yield are necessary to meet future global food demands. A previous study showed that loss-of-function mutations in FLOWERING LOCUS T2 (FT2) increase spikelet number per spike (SNS), an important grain yield component. However, these mutations were also associated with reduced fertility, offsetting the beneficial effect of the increases in SNS on grain number. Here, we report a natural mutation resulting in an aspartic acid to alanine change at position 10 (D10A) associated with significant increases in SNS and no negative effects on fertility. Using a high-density genetic map, we delimited the SNS candidate region to a 5.2-Mb region on chromosome 3AS including 28 genes. Among them, only FT-A2 showed a non-synonymous polymorphism (D10A) present in two different populations segregating for the SNS QTL on chromosome arm 3AS. These results, together with the known effect of the ft-A2 mutations on SNS, suggest that variation in FT-A2 is the most likely cause of the observed differences in SNS. We validated the positive effects of the A10 allele on SNS, grain number, and grain yield per spike in near-isogenic tetraploid wheat lines and in an hexaploid winter wheat population. The A10 allele is present at very low frequency in durum wheat and at much higher frequency in hexaploid wheat, particularly in winter and fall-planted spring varieties. These results suggest that the FT-A2 A10 allele may be particularly useful for improving grain yield in durum wheat and fall-planted common wheat varieties

A national survey comparing practice patterns and residency training satisfaction for categorical dermatology versus combined internal medicine and dermatology trained physicians

Combined internal medicine and dermatology (med-derm) training programs were created to advance complex medical dermatology and inpatient dermatology care. A prior study demonstrated that compared to categorical dermatology residents, med-derm residents had less program satisfaction, yet indicated a stronger desire to pursue careers in academia. No follow-up data on practice patterns after training has been reported. We aimed to characterize differences in residency program satisfaction and practice patterns between physicians trained in categorical dermatology compared to med-derm residency programs. We surveyed physicians who graduated from combined med-derm programs along with their counterparts, from six institutions, that either currently or historically had a combined med-derm training, from 2008-2017. Fifty-five percent of med-derm and forty-one percent of categorical-trained physicians responded. The practice patterns between the two groups were similar. A quarter of med-derm physicians continued to provide general internal medicine services. Categorical trained physicians were significantly more satisfied with their training (P=0.03) and performed more excisions on the head/neck (P=0.02). The combined graduates had significantly greater confidence in multidisciplinary care (P=0.003), prescribed more biologic (P<0.001) and non-biologic immunosuppressive agents (P=0.002), and volunteered more for the underserved patients in their communities (P=0.04). Although few differences in overall practice patterns between categorical and med-derm trained graduates were appreciated, med-derm graduates seem more comfortable with multidisciplinary care and may care for more medically complex patients requiring immunosuppression

Genomic variants affecting homoeologous gene expression dosage contribute to agronomic trait variation in allopolyploid wheat.

Allopolyploidy greatly expands the range of possible regulatory interactions among functionally redundant homoeologous genes. However, connection between the emerging regulatory complexity and expression and phenotypic diversity in polyploid crops remains elusive. Here, we use diverse wheat accessions to map expression quantitative trait loci (eQTL) and evaluate their effects on the population-scale variation in homoeolog expression dosage. The relative contribution of cis- and trans-eQTL to homoeolog expression variation is strongly affected by both selection and demographic events. Though trans-acting effects play major role in expression regulation, the expression dosage of homoeologs is largely influenced by cis-acting variants, which appear to be subjected to selection. The frequency and expression of homoeologous gene alleles showing strong expression dosage bias are predictive of variation in yield-related traits, and have likely been impacted by breeding for increased productivity. Our study highlights the importance of genomic variants affecting homoeolog expression dosage in shaping agronomic phenotypes and points at their potential utility for improving yield in polyploid crops