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1. 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 (December 2023, The Plant Journal)

   SUMMARY Sorghum anthracnose caused by the fungusColletotrichum sublineola(Cs) is a damaging disease of the crop. Here, we describe the identification ofANTHRACNOSE RESISTANCE GENES(ARG4andARG5) encoding canonical nucleotide‐binding leucine‐rich repeat (NLR) receptors.ARG4andARG5are dominant resistance genes identified in the sorghum lines SAP135 and P9830, respectively, that show broad‐spectrum resistance toCs. 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 thatARG4andARG5are resistance genes againstCsstrains. Interestingly,ARG4andARG5are 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 theARGgenes while having the recessive allele at the second locus. Only two copies of theARG5candidate genes were present in the resistant P9830 line while five non‐functional copies were identified in the susceptible line. The resistant parents and their recombinant inbred lines carrying eitherARG4orARG5are resistant to strains Csgl1 and Csgrg suggesting that these genes have overlapping specificities. The role ofARG4andARG5in resistance was validated through sorghum lines carrying independent recessive alleles that show increased susceptibility.ARG4andARG5are 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 stucture provides a foundation for genetic studies and resistance breeding. 

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2. A comparative study of metatranscriptomic assessment methods to characterize Microcystis blooms

   https://doi.org/10.1002/lom3.10465  

   Pound, Helena L.; Gann, Eric R.; Wilhelm, Steven W. (December 2021, Limnology and Oceanography: Methods)
3. A century of statistical Ecology

   https://doi.org/10.1002/ecy.4283  

   Gilbert, Neil_A; Amaral, Bruna_R; Smith, Olivia_M; Williams, Peter_J; Ceyzyk, Sydney; Ayebare, Samuel; Davis, Kayla_L; Leuenberger, Wendy; Doser, Jeffrey_W; Zipkin, Elise_F (May 2024, Ecology)

   Abstract As data and computing power have surged in recent decades, statistical modeling has become an important tool for understanding ecological patterns and processes. Statistical modeling in ecology faces two major challenges. First, ecological data may not conform to traditional methods, and second, professional ecologists often do not receive extensive statistical training. In response to these challenges, the journalEcologyhas published many innovative statistical ecology papers that introduced novel modeling methods and provided accessible guides to statistical best practices. In this paper, we reflect onEcology's history and its role in the emergence of the subdiscipline of statistical ecology, which we define as the study of ecological systems using mathematical equations, probability, and empirical data. We showcase 36 influential statistical ecology papers that have been published inEcologyover the last century and, in so doing, comment on the evolution of the field. As data and computing power continue to increase, we anticipate continued growth in statistical ecology to tackle complex analyses and an expanding role forEcologyto publish innovative and influential papers, advancing the discipline and guiding practicing ecologists. 

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4. A mixed isocyanide Mn( i ) complex and its reduction to a metallate

   https://doi.org/10.1039/d5dt00634a  

   Claude, Guilhem; Ellwanger, Mathias A; Grippo, Adam; Hernandez, Ritchie; Figueroa, Joshua R; Abram, Ulrich (April 2025, Dalton Transactions)

   A stepwise ligand exchange starting from [Mn(CO)₅Br] and subsequent reduction gave the first heteroleptic isocyanide manganese(−1) complex, [Mn(CNp-FAr^DArF2)₃(CN^tBu)₂]^–, exhibiting a five-coordinate, trigonal bipyramidal coordination sphere. 

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5. TbsP and TrmB jointly regulate gapII to influence cell development phenotypes in the archaeon Haloferax volcanii

   https://doi.org/10.1111/mmi.15225  

   Hackley, Rylee K.; Hwang, Sungmin; Herb, Jake T.; Bhanap, Preeti; Lam, Katie; Vreugdenhil, Angie; Darnell, Cynthia L.; Pastor, Mar Martinez; Martin, Johnathan H.; Maupin‐Furlow, Julie A.; et al (January 2024, Molecular Microbiology)

   Abstract Microbial cells must continually adapt their physiology in the face of changing environmental conditions. Archaea living in extreme conditions, such as saturated salinity, represent important examples of such resilience. The model salt‐loving organismHaloferax volcaniiexhibits remarkable plasticity in its morphology, biofilm formation, and motility in response to variations in nutrients and cell density. However, the mechanisms regulating these lifestyle transitions remain unclear. In prior research, we showed that the transcriptional regulator, TrmB, maintains the rod shape in the related speciesHalobacterium salinarumby activating the expression of enzyme‐coding genes in the gluconeogenesis metabolic pathway. InHbt. salinarum, TrmB‐dependent production of glucose moieties is required for cell surface glycoprotein biogenesis. Here, we use a combination of genetics and quantitative phenotyping assays to demonstrate that TrmB is essential for growth under gluconeogenic conditions inHfx. volcanii. The ∆trmBstrain rapidly accumulated suppressor mutations in a gene encoding a novel transcriptional regulator, which we nametrmBsuppressor, or TbsP (a.k.a. “tablespoon”). TbsP is required for adhesion to abiotic surfaces (i.e., biofilm formation) and maintains wild‐type cell morphology and motility. We use functional genomics and promoter fusion assays to characterize the regulons controlled by each of TrmB and TbsP, including joint regulation of the glucose‐dependent transcription ofgapII, which encodes an important gluconeogenic enzyme. We conclude that TrmB and TbsP coregulate gluconeogenesis, with downstream impacts on lifestyle transitions in response to nutrients inHfx. volcanii. 

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