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1. 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)
2. FgPal1 regulates morphogenesis and pathogenesis in Fusarium graminearum

   https://doi.org/10.1111/1462-2920.15266  

   Yin, Jinrong; Hao, Chaofeng; Niu, Gang; Wang, Wei; Wang, Guanghui; Xiang, Ping; Xu, Jin‐Rong; Zhang, Xue (December 2020, Environmental Microbiology)

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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. Manganese‐dependent transcription regulation by MntR and PerR in Thermus thermophilus HB8

   https://doi.org/10.1111/mmi.15278  

   Barrows, John K; Stubbs, Kamya A; Padilla‐Montoya, Irina F; Leeper, Thomas C; Van Dyke, Michael W (May 2024, Molecular Microbiology)

   Abstract Bacteria contain conserved mechanisms to control the intracellular levels of metal ions. Metalloregulatory transcription factors bind metal cations and play a central role in regulating gene expression of metal transporters. Often, these transcription factors regulate transcription by binding to a specific DNA sequence in the promoter region of target genes. Understanding the preferred DNA‐binding sequence for transcriptional regulators can help uncover novel gene targets and provide insight into the biological role of the transcription factor in the host organism. Here, we identify consensus DNA‐binding sequences and subsequent transcription regulatory networks for two metalloregulators from the ferric uptake regulator (FUR) and diphtheria toxin repressor (DtxR) superfamilies inThermus thermophilusHB8. By homology search, we classify the DtxR homolog as a manganese‐specific, MntR (TtMntR), and the FUR homolog as a peroxide‐sensing, PerR (TtPerR). Both transcription factors repress separate ZIP transporter genes in vivo, andTtPerR acts as a bifunctional transcription regulator by activating the expression of ferric and hemin transport systems. We showTtPerR andTtMntR bind DNA in the presence of manganese in vitro and in vivo; however,TtPerR is unable to bind DNA in the presence of iron, likely due to iron‐mediated histidine oxidation. Unlike canonical PerR homologs,TtPerR does not appear to contribute to peroxide detoxification. Instead, theTtPerR regulon and DNA binding sequence are more reminiscent of Fur or Mur homologs. Collectively, these results highlight the similarities and differences between two metalloregulatory superfamilies and underscore the interplay of manganese and iron in transcription factor regulation. 

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5. Comparison between p‐distance and single‐locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox 1, rbcL and ITS

   https://doi.org/10.1111/jeu.12986  

   Franco, Andréa de; Ashworth, Matt P.; Odebrecht, Clarisse (September 2023, Journal of Eukaryotic Microbiology)

   Abstract Several automated molecular methods have emerged for distinguishing eukaryote species based on DNA sequence data. However, there are knowledge gaps around which of these single‐locus methods is more accurate for the identification of microalgal species, such as the highly diverse and ecologically relevant diatoms. We applied genetic divergence, Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP) using partialcox1,rbcL,5.8S + ITS2,ITS1 + 5.8S + ITS2 markers to delineate species and compare to published polyphasic identification data (morphological features, phylogeny and sexual reproductive isolation) to test the resolution of these methods. ASAP, ABGD, SPNA and PTP models resolved species ofEunotia,Seminavis, Nitzschia, SellaphoraandPseudo‐nitzschiacorresponding to previous polyphasic identification, including reproductive isolation studies. In most cases, these models identified diatom species in similar ways, regardless of sequence fragment length. GMYC model presented smallest number of results that agreed with previous published identification. Following the recommendations for proper use of each model presented in the present study, these models can be useful tools to identify cryptic or closely related species of diatoms, even when the datasets have relatively few sequences. 

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