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1. Anatomy and relationships of the early diverging Crocodylomorphs Junggarsuchus sloani and Dibothrosuchus elaphros

   https://doi.org/10.1002/ar.24949  

   Ruebenstahl, Alexander A.; Klein, Michael D.; Yi, Hongyu; Xu, Xing; Clark, James M. (October 2022, The Anatomical Record)
2. Structural stability and the low‐lying singlet and triplet states of BN ‐ n ‐acenes, n  = 1–7

   https://doi.org/10.1002/jcc.27038  

   Milanez, Bruno D.; dos Santos, Gustavo M.; Pinheiro, Max; Ueno, Leonardo T.; Ferrão, Luiz F.; Aquino, Adelia J.; Lischka, Hans; Machado, Francisco B. (March 2023, Journal of Computational Chemistry)
3. Haplotypes at the sorghum ARG4 and ARG5NLR loci confer resistance to anthracnose

   https://doi.org/10.1111/tpj.16594  

   Habte, Nida; Girma, Gezahegn; Xu, Xiaochen; Liao, Chao‐Jan; Adeyanju, Adedayo; Hailemariam, Sara; Lee, Sanghun; Okoye, Pascal; Ejeta, Gebisa; Mengiste, Tesfaye (April 2024, The Plant Journal)

   Sorghum anthracnose caused by the fungus Colletotrichum sublineola (Cs) is a damaging disease of the crop. Here, we describe the identification of ANTHRACNOSE RESISTANCE GENES (ARG4 and ARG5) encoding canonical nucleotide-binding leucine-rich repeat (NLR) receptors. ARG4 and ARG5 are dominant resistance genes identified in the sorghum lines SAP135 and P9830, respectively, that show broad-spectrum resistance to Cs. Independent genetic studies using populations generated by crossing SAP135 and P9830 with TAM428, fine mapping using molecular markers, comparative genomics and gene expression studies determined that ARG4 and ARG5 are resistance genes against Cs strains. Interestingly, ARG4 and ARG5 are both located within clusters of duplicate NLR genes at linked loci separated by ~1 Mb genomic region. SAP135 and P9830 each carry only one of the ARG genes while having the recessive allele at the second locus. Only two copies of the ARG5 candidate genes were present in the resistant P9830 line while five nonfunctional copies were identified in the susceptible line. The resistant parents and their recombinant inbred lines carrying either ARG4 or ARG5 are resistant to strains Csgl1 and Csgrg suggesting that these genes have overlapping specificities. The role of ARG4 and ARG5 in resistance was validated through sorghum lines carrying independent recessive alleles that show increased susceptibility. ARG4 and ARG5 are located within complex loci displaying interesting haplotype structures and copy number variation that may have resulted from duplication. Overall, the identification of anthracnose resistance genes with unique haplotype structure provides a foundation for genetic studies and resistance breeding. 

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4. The maize PLASTID TERMINAL OXIDASE ( PTOX ) locus controls the carotenoid content of kernels

   https://doi.org/10.1111/tpj.16618  

   Nie, Yongxin; Wang, Hui; Zhang, Guan; Ding, Haiping; Han, Beibei; Liu, Lei; Shi, Jian; Du, Jiyuan; Li, Xiaohu; Li, Xinzheng; et al (April 2024, The Plant Journal)

   SUMMARY Carotenoids perform a broad range of important functions in humans; therefore, carotenoid biofortification of maize (Zea maysL.), one of the most highly produced cereal crops worldwide, would have a global impact on human health.PLASTID TERMINAL OXIDASE(PTOX) genes play an important role in carotenoid metabolism; however, the possible function ofPTOXin carotenoid biosynthesis in maize has not yet been explored. In this study, we characterized the maizePTOXlocus by forward‐ and reverse‐genetic analyses. While most higher plant species possess a single copy of thePTOXgene, maize carries two tandemly duplicated copies. Characterization of mutants revealed that disruption of either copy resulted in a carotenoid‐deficient phenotype. We identified mutations in thePTOXgenes as being causal of the classic maize mutant,albescent1. Remarkably, overexpression ofZmPTOX1significantly improved the content of carotenoids, especially β‐carotene (provitamin A), which was increased by ~threefold, in maize kernels. Overall, our study shows that maizePTOXlocus plays an important role in carotenoid biosynthesis in maize kernels and suggests that fine‐tuning the expression of this gene could improve the nutritional value of cereal grains. 

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5. SAMI-H  i : The H  i view of the Hα Tully–Fisher relation and data release

   https://doi.org/10.1093/mnras/stac3556  

   Catinella, Barbara; Cortese, Luca; Tiley, Alfred L; Janowiecki, Steven; Watts, Adam B; Bryant, Julia J; Croom, Scott M; d’Eugenio, Francesco; van de Sande, Jesse; Bland-Hawthorn, Joss; et al (December 2022, Monthly Notices of the Royal Astronomical Society)

   ABSTRACT We present SAMI-H i, a survey of the atomic hydrogen content of 296 galaxies with integral field spectroscopy available from the SAMI Galaxy Survey. The sample spans nearly 4 dex in stellar mass ($$M_\star = 10^{7.4}-10^{11.1}~ \rm M_\odot$$), redshift z < 0.06, and includes new Arecibo observations of 153 galaxies, for which we release catalogues and H i spectra. We use these data to compare the rotational velocities obtained from optical and radio observations and to show how systematic differences affect the slope and scatter of the stellar-mass and baryonic Tully–Fisher relations. Specifically, we show that $$\rm H\alpha$$ rotational velocities measured in the inner parts of galaxies (1.3 effective radii in this work) systematically underestimate H i global measurements, with H i/$$\rm H\alpha$$ velocity ratios that increase at low stellar masses, where rotation curves are typically still rising and $$\rm H\alpha$$ measurements do not reach their plateau. As a result, the $$\rm H\alpha$$ stellar mass Tully–Fisher relation is steeper (when M⋆ is the independent variable) and has larger scatter than its H i counterpart. Interestingly, we confirm the presence of a small fraction of low-mass outliers of the $$\rm H\alpha$$ relation that are not present when H i velocity widths are used and are not explained by ‘aperture effects’. These appear to be highly disturbed systems for which $$\rm H\alpha$$ widths do not provide a reliable estimate of the rotational velocity. Our analysis reaffirms the importance of taking into account differences in velocity definitions as well as tracers used when interpreting offsets from the Tully–Fisher relation, at both low and high redshifts and when comparing with simulations. 

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