Genomic characterization of two novel viruses infecting Barleria cristata L. from the genera Orthotospovirus and Polerovirus

Barleria cristata L. has become naturalized in South Africa, where it is commonly used as an ornamental. In 2019, plants of B. cristata showing putative viral symptoms were collected from two locations in Gauteng, South Africa. RNAtag-seq libraries were prepared and sequenced using an Illumina HiSeq 2500 platform. De novo assembly of the resulting data revealed the presence of a novel member of the family Tospoviridae associated with the plants from both locations, and this virus was given the tentative name "barleria chlorosis-associated virus". Segments L, M, and S have lengths of 8752, 4760, and 2906 nt, respectively. Additionally, one of the samples was associated with a novel polerovirus, provisionally named "barleria polerovirus 1", with a complete genome length of 6096 nt. This is the first study to show the association of viruses with a member of the genus Barleria.SUPPLEMENTARY INFORMATION : Supplementary Figure 1: Foliar symptoms associated with Barleria cristata plants that were sampled in this study. Large, diffuse chlorotic spots were associated with the single infection of barleria severe mosaic virus (BSMoV) (19-3031), while a more defined mosaic was associated with the mixed involving both BSMoV and barleria polerovirus 1 (19-3037).Supplementary Figure 2: Maximum likelihood phylogeny based on the amino acid sequences of the N-protein of barleria chlorosis-associated virus (indicated by solid circle markers) and selected members of the Tospoviridae family. The phylogeny represents the tree with the highest log likelihood and was generated in MEGA X using the best-fit (Le Gascuel) model with gamma distribution (n=4). Bootstrapping was applied (1000 replicates) and the percentage of trees in which the associated taxa clustered together is shown next to the branches. Bootstrap percentages lower than 50 are not shown. The cognate amino acid sequence of Guaroa virus was used as an outgroup.Supplementary Figure 3: Maximum likelihood phylogeny based on the amino acid sequences of the RNA-dependant RNA polymerase of barleria polero virus 1 (indicated by solid circle markers) and selected members of the Luteoviridae family. The phylogeny represents the tree with the highest log likelihood and was generated in MEGA X using the best-fit (Jones-Taylor-Thornton) model. Bootstrapping was applied (1000 replicates) and the percentage of trees in which the associated taxa clustered together is shown next to the branches. Bootstrap percentages lower than 50 are not shown. The cognate amino acid sequences of two enamoviruses were used as outgroups.http://link.springer.com/journal/7052022-07-01hj2022Forestry and Agricultural Biotechnology Institute (FABI

The Iowa Homemaker vol.20, no.7

Hospitality on a Budget, Mary Ellen Brown, page 2 Plastics Equip the Home, Dorothy Anne Roost, page 4 Designed for Efficiency, Dorothy Gross, page 6 50,000 Words a Day, Betty Bice, page 7 Sally Leads Military Parade, Patricia Hayes, page 8 Self-Investment for Life, Dr. Richard C. Raines, page 10 Home Management Staff, Margaret Kumlien Read, page 11 What’s New in Home Economics, Helen Kubacky, page 12 Defense Challenges the Home Economics, Dr. P. M. Nelson, page 14 Letters from Sumatra and Alaska, page 15 Alums in the News, Bette Simpson, page 16 Vitamins Invade Army Rations, Genevieve Scott, page 17 Flashes from Bacteriology Field, Catherine Raymond, page 18 China on a Budget, Jane Willey, page 19 Behind Bright Jackets, Marjorie Thomas, page 20 Soldiers and Sailors Eat Well, Pat Garberson, page 22 Spindles, Helen Moeckly, page 2

Exploring movement patterns and changing distributions of baleen whales in the western North Atlantic using a decade of passive acoustic data

© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Davis, G. E., Baumgartner, M. F., Corkeron, P. J., Bell, J., Berchok, C., Bonnell, J. M., Thornton, J. B., Brault, S., Buchanan, G. A., Cholewiak, D. M., Clark, C. W., Delarue, J., Hatch, L. T., Klinck, H., Kraus, S. D., Martin, B., Mellinger, D. K., Moors-Murphy, H., Nieukirk, S., Nowacek, D. P., Parks, S. E., Parry, D., Pegg, N., Read, A. J., Rice, A. N., Risch, D., Scott, A., Soldevilla, M. S., Stafford, K. M., Stanistreet, J. E., Summers, E., Todd, S., & Van Parijs, S. M. Exploring movement patterns and changing distributions of baleen whales in the western North Atlantic using a decade of passive acoustic data. Global Change Biology, (2020): 1-30, doi:10.1111/gcb.15191.Six baleen whale species are found in the temperate western North Atlantic Ocean, with limited information existing on the distribution and movement patterns for most. There is mounting evidence of distributional shifts in many species, including marine mammals, likely because of climate‐driven changes in ocean temperature and circulation. Previous acoustic studies examined the occurrence of minke (Balaenoptera acutorostrata ) and North Atlantic right whales (NARW; Eubalaena glacialis ). This study assesses the acoustic presence of humpback (Megaptera novaeangliae ), sei (B. borealis ), fin (B. physalus ), and blue whales (B. musculus ) over a decade, based on daily detections of their vocalizations. Data collected from 2004 to 2014 on 281 bottom‐mounted recorders, totaling 35,033 days, were processed using automated detection software and screened for each species' presence. A published study on NARW acoustics revealed significant changes in occurrence patterns between the periods of 2004–2010 and 2011–2014; therefore, these same time periods were examined here. All four species were present from the Southeast United States to Greenland; humpback whales were also present in the Caribbean. All species occurred throughout all regions in the winter, suggesting that baleen whales are widely distributed during these months. Each of the species showed significant changes in acoustic occurrence after 2010. Similar to NARWs, sei whales had higher acoustic occurrence in mid‐Atlantic regions after 2010. Fin, blue, and sei whales were more frequently detected in the northern latitudes of the study area after 2010. Despite this general northward shift, all four species were detected less on the Scotian Shelf area after 2010, matching documented shifts in prey availability in this region. A decade of acoustic observations have shown important distributional changes over the range of baleen whales, mirroring known climatic shifts and identifying new habitats that will require further protection from anthropogenic threats like fixed fishing gear, shipping, and noise pollution.We thank Chris Pelkie, David Wiley, Michael Thompson, Chris Tessaglia‐Hymes, Eric Matzen, Chris Tremblay, Lance Garrison, Anurag Kumar, John Hildebrand, Lynne Hodge, Russell Charif, Kathleen Dudzinski, and Ann Warde for help with project planning, field work support, and data management. For all the support and advice, thanks to the NEFSC Protected Species Branch, especially the passive acoustics group, Josh Hatch, and Leah Crowe. We thank the field and crew teams on all the ships that helped in the numerous deployments and recoveries. This research was funded and supported by many organizations, specified by projects as follows: data recordings from region 1 were provided by K. Stafford (funding: National Science Foundation #NSF‐ARC 0532611). Region 2 data: D. K. Mellinger and S. Nieukirk, National Oceanic and Atmospheric Administration (NOAA) PMEL contribution #5055 (funding: NOAA and the Office of Naval Research #N00014–03–1–0099, NOAA #NA06OAR4600100, US Navy #N00244‐08‐1‐0029, N00244‐09‐1‐0079, and N00244‐10‐1‐0047). Region 3A data: D. Risch (funding: NOAA and Navy N45 programs). Region 3 data: H. Moors‐Murphy and Fisheries and Oceans Canada (2005–2014 data), and the Whitehead Lab of Dalhousie University (eastern Scotian Shelf data; logistical support by A. Cogswell, J. Bartholette, A. Hartling, and vessel CCGS Hudson crew). Emerald Basin and Roseway Basin Guardbuoy data, deployment, and funding: Akoostix Inc. Region 3 Emerald Bank and Roseway Basin 2004 data: D. K. Mellinger and S. Nieukirk, NOAA PMEL contribution #5055 (funding: NOAA). Region 4 data: S. Parks (funding: NOAA and Cornell University) and E. Summers, S. Todd, J. Bort Thornton, A. N. Rice, and C. W. Clark (funding: Maine Department of Marine Resources, NOAA #NA09NMF4520418, and #NA10NMF4520291). Region 5 data: S. M. Van Parijs, D. Cholewiak, L. Hatch, C. W. Clark, D. Risch, and D. Wiley (funding: National Oceanic Partnership Program (NOPP), NOAA, and Navy N45). Region 6 data: S. M. Van Parijs and D. Cholewiak (funding: Navy N45 and Bureau of Ocean and Energy Management (BOEM) Atlantic Marine Assessment Program for Protected Species [AMAPPS] program). Region 7 data: A. N. Rice, H. Klinck, A. Warde, B. Martin, J. Delarue, and S. Kraus (funding: New York State Department of Environmental Conservation, Massachusetts Clean Energy Center, and BOEM). Region 8 data: G. Buchanan, and K. Dudzinski (funding: New Jersey Department of Environmental Protection and the New Jersey Clean Energy Fund) and A. N. Rice, C. W. Clark, and H. Klinck (funding: Center for Conservation Bioacoustics at Cornell University and BOEM). Region 9 data: J. E. Stanistreet, J. Bell, D. P. Nowacek, A. J. Read, and S. M. Van Parijs (funding: NOAA and US Fleet Forces Command). Region 10 data: L. Garrison, M. Soldevilla, C. W. Clark, R. A. Chariff, A. N. Rice, H. Klinck, J. Bell, D. P. Nowacek, A. J. Read, J. Hildebrand, A. Kumar, L. Hodge, and J. E. Stanistreet (funding: US Fleet Forces Command, BOEM, NOAA, and NOPP). Region 11 data: C. Berchok as part of a collaborative project led by the Fundacion Dominicana de Estudios Marinos, Inc. (Dr. Idelisa Bonnelly de Calventi; funding: The Nature Conservancy [Elianny Dominguez]) and D. Risch (funding: World Wildlife Fund, NOAA, and Dutch Ministry of Economic Affairs)

Population Genomic Analysis of Strain Variation in Leptospirillum Group II Bacteria Involved in Acid Mine Drainage Formation

Deeply sampled community genomic (metagenomic) datasets enable comprehensive analysis of heterogeneity in natural microbial populations. In this study, we used sequence data obtained from the dominant member of a low-diversity natural chemoautotrophic microbial community to determine how coexisting closely related individuals differ from each other in terms of gene sequence and gene content, and to uncover evidence of evolutionary processes that occur over short timescales. DNA sequence obtained from an acid mine drainage biofilm was reconstructed, taking into account the effects of strain variation, to generate a nearly complete genome tiling path for a Leptospirillum group II species closely related to L. ferriphilum (sampling depth ∼20×). The population is dominated by one sequence type, yet we detected evidence for relatively abundant variants (>99.5% sequence identity to the dominant type) at multiple loci, and a few rare variants. Blocks of other Leptospirillum group II types (∼94% sequence identity) have recombined into one or more variants. Variant blocks of both types are more numerous near the origin of replication. Heterogeneity in genetic potential within the population arises from localized variation in gene content, typically focused in integrated plasmid/phage-like regions. Some laterally transferred gene blocks encode physiologically important genes, including quorum-sensing genes of the LuxIR system. Overall, results suggest inter- and intrapopulation genetic exchange involving distinct parental genome types and implicate gain and loss of phage and plasmid genes in recent evolution of this Leptospirillum group II population. Population genetic analyses of single nucleotide polymorphisms indicate variation between closely related strains is not maintained by positive selection, suggesting that these regions do not represent adaptive differences between strains. Thus, the most likely explanation for the observed patterns of polymorphism is divergence of ancestral strains due to geographic isolation, followed by mixing and subsequent recombination

Genome-wide association studies of autoimmune vitiligo identify 23 new risk loci and highlight key pathways and regulatory variants

Vitiligo is an autoimmune disease in which depigmented skin results from the destruction of melanocytes1, with epidemiological association with other autoimmune diseases2. In previous linkage and genome-wide association studies (GWAS1 and GWAS2), we identified 27 vitiligo susceptibility loci in patients of European ancestry. We carried out a third GWAS (GWAS3) in European-ancestry subjects, with augmented GWAS1 and GWAS2 controls, genome-wide imputation, and meta-analysis of all three GWAS, followed by an independent replication. The combined analyses, with 4,680 cases and 39,586 controls, identified 23 new significantly associated loci and 7 suggestive loci. Most encode immune and apoptotic regulators, with some also associated with other autoimmune diseases, as well as several melanocyte regulators. Bioinformatic analyses indicate a predominance of causal regulatory variation, some of which corresponds to expression quantitative trait loci (eQTLs) at these loci. Together, the identified genes provide a framework for the genetic architecture and pathobiology of vitiligo, highlight relationships with other autoimmune diseases and melanoma, and offer potential targets for treatment

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Orchid fleck virus and a novel strain of sweet potato chlorotic stunt virus associated with an ornamental cultivar of Alcea rosea L. in South Africa

Common hollyhock (Alcea rosea) is a ubiquitous ornamental in temperate climates but is highly adaptable and can be found growing in the tropics and subtropics. In 2019, an A. rosea plant showing symptoms of irregular chlorotic flecking on the basal leaves, with symptoms becoming gradually less severe toward the apex, was sampled in Pretoria, Gauteng province, South Africa. Total RNA was used to prepare an RNAtag-seq library, which was sequenced using an Illumina HiSeq 2500 instrument. Subsequent analysis of the data revealed the presence of two bipartite RNA viruses, namely orchid fleck virus (OFV) (segment 1: MW073772; segment 2: MW073773) and sweet potato chlorotic stunt virus (SPCSV) (segment 1: MW073774; segment 2: MW073775). OFV from this study was closely related to a strain from South Africa, associated with citrus leprosis disease, while SPCSV represented a novel strain. RT-PCR and bidirectional Sanger sequencing were used to confirm the presence of both viruses. Further samples were collected in 2020, which showed severe interveinal chlorosis, and were tested with RT-PCR; however only SPCSV was associated with these plants. This is the first time that both viruses have been associated with A. rosea, which should be considered a potential reservoir host of these agriculturally important viruses.Supplementary figure 1: Images of leaves collected from Alcea rosea plants expressing symptoms suspected of being of viral infection. B - Basal leaves; M - Leaves collected from the midpoint of the main stem; A – Leaves collected from the apex of each plant.Supplementary figure 2: Agarose gel image showing the bands of PCR confirmation products for orchid fleck virus (OFV) and sweet potato chlorotic stunt virus (SPCSV).The National Research Foundation of South Africahttps://link.springer.com/journal/10658hj2022Forestry and Agricultural Biotechnology Institute (FABI

Detection and diversity of grapevine virus L from a Vitis cultivar collection in Stellenbosch, South Africa

A total of 229 Vitis cultivars were sampled from a collection in Stellenbosch, Western Cape, South Africa and subjected to an RNAtag-seq workflow and Illumina HiSeq 2500 sequencing. Following de novo assembly and initial BLASTn analysis of the resulting reads showed that 85 cultivars were infected with grapevine virus L (GVL), with a total of 96 complete/near complete genomes. This is the first time that GVL has been detected in South Africa. Phylogenetic analyses of the amino acid sequences of ORF1 showed that GVL from this study is diverse, grouping with references from Croatia, USA and China, as well as forming a unique South African phylogroup.Supplementary Figure 1. Maximum likelihood phylogeny based on the amino acid sequences derived from ORF 1 of grapevine virus L (GVL) from this study and references derived from extant GVL genomes (references indicated by a solid circle marker). The cognate sequence from grapevine virus E (GVE) was used as an outgroup. The phylogeny represents the tree with the highest log likelihood and was generated in MEGA X using the Le Gascuel model with gamma distribution (n=5). Bootstrapping was applied (1000 replicates) and the percentage of trees in which the associated taxa clustered together is shown next to the branches. Bootstrap percentages lower than 50 are not shown. The identity of each phylogroup is shown alongside the phylogeny.Supplementary figure 2. Illustration from the RDP4 program showing the potential parents of the single recombination event that appears to have led to the establishment of recombinant variants of grapevine virus L, associated with phylogroup IV.Supplementary Table 1. Details of the grapevine virus L genomes from this study, which includes the Vitis species or cultivar (of V. vinifera) that was sampled. “H” indicates an interspecific hybrid/cultivar. The number of reps indicates how many replicate plants were associated with each species/cultivar.The National Research Foundation of South Africahttps://link.springer.com/journal/106582022-09-14hj2022BiochemistryForestry and Agricultural Biotechnology Institute (FABI)GeneticsMicrobiology and Plant Patholog