54 research outputs found

    Identification and pathogenicity of Macrophomina species collected from weeds in melon fields in Northeastern Brazil

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    "This is the peer reviewed version of the following article: Negreiros, AMP, Sales Júnior, R, León, M, et al. Identification and pathogenicity of Macrophomina species collected from weeds in melon fields in Northeastern Brazil. J Phytopathol. 2019; 167: 326 337. , which has been published in final form at https://doi.org/10.1111/jph.12801. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] In this work, a collection of 94 Macrophomina isolates obtained from roots of two weed species, Trianthema portulacastrum and Boerhavia diffusa, collected during surveys conducted during 2015 and 2016 in melon production fields in Northeastern Brazil, were characterized by using molecular techniques. Phylogenetic analysis of the EF1-alpha gene allowed the identification of 32 isolates as M. phaseolina and 62 isolates as M. pseudophaseolina. Results of a pathogenicity test performed on melon seedlings of the cv. "Gladial" revealed that all M. phaseolina isolates inoculated were able to cause disease to melon seedlings, but only some M. pseudophaseolina isolates were able to infect them. This study represents the first report of M. pseudophaseolina in both T. portulacastrum and B. diffusa weeds, which are prevalent in the main Brazilian melon producing and exporting regions. Information about the biology and epidemiology of M. pseudophaseolina is scarce because of its recent description; thus, further research is needed for a better understanding of this fungus as a potentially emerging pathogen of melon and other crops.Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-Brazil (CAPES); Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)Negreiros, AMP.; Sales Junior, R.; León Santana, M.; de Assis Melo N.J.; Michereff, S.; de Queiroz Ambrósio M.M.; De Sousa Medeiros, H.... (2019). Identification and pathogenicity of Macrophomina species collected from weeds in melon fields in Northeastern Brazil. Journal of Phytopathology. 167(6):326-337. https://doi.org/10.1111/jph.12801S3263371676Agustí-Brisach, C., Gramaje, D., León, M., García-Jiménez, J., & Armengol, J. (2011). Evaluation of Vineyard Weeds as Potential Hosts of Black-Foot and Petri Disease Pathogens. Plant Disease, 95(7), 803-810. doi:10.1094/pdis-12-10-0888A. C. Alfenas R. Mafia G. Métodos em fitopatologia 2016 Ed. UFV Universidade Federal de Viçosa Viçosa Brasil 516Ambrósio, M. M. Q., Dantas, A. C. A., Martínez-Perez, E., Medeiros, A. C., Nunes, G. H. S., & Picó, M. B. (2015). Screening a variable germplasm collection of Cucumis melo L. for seedling resistance to Macrophomina phaseolina. Euphytica, 206(2), 287-300. doi:10.1007/s10681-015-1452-xAnuário Anuário ‐ Anuário Brasileiro da Fruticultura 2018 2018 Ed. Gazeta Santa Cruz Santa Cruz do Sul Brazil 88Baird, R. E., & Brock, J. H. (1999). First Report of Macrophomina phaseolina on Cotton (Gossypium hirsutum) in Georgia. Plant Disease, 83(5), 487-487. doi:10.1094/pdis.1999.83.5.487bBaird, R. E., Watson, C. E., & Scruggs, M. (2003). Relative Longevity of Macrophomina phaseolina and Associated Mycobiota on Residual Soybean Roots in Soil. Plant Disease, 87(5), 563-566. doi:10.1094/pdis.2003.87.5.563Carbone, I., & Kohn, L. M. (1999). A Method for Designing Primer Sets for Speciation Studies in Filamentous Ascomycetes. Mycologia, 91(3), 553. doi:10.2307/3761358Chaves, A. L. R., Braun, M. R., Eiras, M., Colariccio, A., & Galleti, S. R. (2003). Erigeron bonariensis: hospedeira alternativa do Lettuce mosaic virus no Brasil. Fitopatologia Brasileira, 28(3), 307-311. doi:10.1590/s0100-41582003000300014Claudino, M. R., & Soares, D. J. (2014). Pathogenicity and aggressiveness of Macrophomina phaseolina isolates to castor (Ricinus communis). Tropical Plant Pathology, 39(6), 453-456. doi:10.1590/s1982-56762014000600006Cohen, R., Omari, N., Porat, A., & Edelstein, M. (2012). Management of Macrophomina wilt in melons using grafting or fungicide soil application: Pathological, horticultural and economical aspects. Crop Protection, 35, 58-63. doi:10.1016/j.cropro.2011.12.015FAOSTAT(2018). FAO statistical databases food and agriculture organization of the United Nations.http://www.fao.org/faostat/en/#home.Farr D. F. &Rossman A. Y.(2018). Fungal Databases. National Fungus Collections ARS USDA: U.S.https://nt.ars-grin.gov/fungaldatabases/.Fuhlbohm, M. J., Ryley, M. J., & Aitken, E. A. B. (2012). New weed hosts of Macrophomina phaseolina in Australia. Australasian Plant Disease Notes, 7(1), 193-195. doi:10.1007/s13314-012-0082-6Funnell-Harris, D. L., O’Neill, P. M., Sattler, S. E., & Yerka, M. K. (2016). Response of Sweet Sorghum Lines to Stalk Pathogens Fusarium thapsinum and Macrophomina phaseolina. Plant Disease, 100(5), 896-903. doi:10.1094/pdis-09-15-1050-reIBGE(2018). Instituto Brasileiro de Geografia e Estatística.https://sidra.ibge.gov.br/home/pms/brasil.Jacob, C. J., Krarup, C., Díaz, G. A., & Latorre, B. A. (2013). A Severe Outbreak of Charcoal Rot in Cantaloupe Melon Caused by Macrophomina phaseolina in Chile. Plant Disease, 97(1), 141-141. doi:10.1094/pdis-06-12-0588-pdnKumar, S., Stecher, G., & Tamura, K. (2016). MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Molecular Biology and Evolution, 33(7), 1870-1874. doi:10.1093/molbev/msw054Machado, A. R., Pinho, D. B., & Pereira, O. L. (2014). Phylogeny, identification and pathogenicity of the Botryosphaeriaceae associated with collar and root rot of the biofuel plant Jatropha curcas in Brazil, with a description of new species of Lasiodiplodia. Fungal Diversity, 67(1), 231-247. doi:10.1007/s13225-013-0274-1Machado, A. R., Pinho, D. B., Soares, D. J., Gomes, A. A. M., & Pereira, O. L. (2018). Bayesian analyses of five gene regions reveal a new phylogenetic species of Macrophomina associated with charcoal rot on oilseed crops in Brazil. European Journal of Plant Pathology, 153(1), 89-100. doi:10.1007/s10658-018-1545-1Medeiros, A. C., Melo, D. R. M. de, Ambrósio, M. M. de Q., Nunes, G. H. de S., & Costa, J. M. da. (2015). Métodos de inoculação de Rhizoctonia solani e Macrophomina phaseolina em meloeiro (Cucumis melo). Summa Phytopathologica, 41(4), 281-286. doi:10.1590/0100-5405/2083Miller M. A. Pfeiffer W. &Schwartz T.(2012). The CIPRES science gateway: enabling high‐impact science for phylogenetics researchers with limited resources. In: Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the extreme to the campus and beyond (pp.39).Chicago IL.Mir, Z. R., Singh, P. K., Zaidi, P. H., Vinayan, M. T., Sharma, S. S., Krishna, M. K., … Nair, S. K. (2018). Genetic analysis of resistance to post flowering stalk rot in tropical germplasm of maize ( Zea mays L.). Crop Protection, 106, 42-49. doi:10.1016/j.cropro.2017.12.004Mbaye, N., Mame, P. S., Ndiaga, C., & Ibrahima, N. (2015). Is the recently described Macrophomina pseudophaseolina pathogenically different from Macrophomina phaseolina? African Journal of Microbiology Research, 9(45), 2232-2238. doi:10.5897/ajmr2015.7742Nylander J. A. A.(2004). MrModeltest V2. Program Distributed by the Author: Evolutionary Biology Centre Uppsala University Sweden.Reuveni, R., Krikun, J., Nachmias, A., & Shlevin, E. (1982). The role ofMacrophomina phaseolina in a collapse of melon plants in Israel. Phytoparasitica, 10(1), 51-56. doi:10.1007/bf02981892Ronquist, F., Teslenko, M., van der Mark, P., Ayres, D. L., Darling, A., Höhna, S., … Huelsenbeck, J. P. (2012). MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space. Systematic Biology, 61(3), 539-542. doi:10.1093/sysbio/sys029Rusuku, G., Buruchara, R. A., Gatabazi, M., & Pastor-Corrales, M. A. (1997). Occurrence and Distribution in Rwanda of Soilborne Fungi Pathogenic to the Common Bean. Plant Disease, 81(5), 445-449. doi:10.1094/pdis.1997.81.5.445Sales Junior, R., Oliveira, O. F. de, Medeiros, É. V. de, Guimarães, I. M., Correia, K. C., & Michereff, S. J. (2012). Ervas daninhas como hospedeiras alternativas de patógenos causadores do colapso do meloeiro. Revista Ciência Agronômica, 43(1), 195-198. doi:10.1590/s1806-66902012000100024Short, G. E. (1980). Survival ofMacrophomina phaseolinain Soil and in Residue of Soybean. Phytopathology, 70(1), 13. doi:10.1094/phyto-70-13Francisco, de A. S. e S., & Carlos, A. V. de A. (2016). The Assistat Software Version 7.7 and its use in the analysis of experimental data. African Journal of Agricultural Research, 11(39), 3733-3740. doi:10.5897/ajar2016.11522Stamatakis, A. (2014). RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics, 30(9), 1312-1313. doi:10.1093/bioinformatics/btu033Thompson, J. D., Higgins, D. G., & Gibson, T. J. (1994). CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research, 22(22), 4673-4680. doi:10.1093/nar/22.22.4673Wrather, J. A., Anderson, T. R., Arsyad, D. M., Gai, J., Ploper, L. D., Porta-Puglia, A., … Yorinori, J. T. (1997). Soybean Disease Loss Estimates for the Top 10 Soybean Producing Countries in 1994. Plant Disease, 81(1), 107-110. doi:10.1094/pdis.1997.81.1.107Wrather, J. A., Anderson, T. R., Arsyad, D. M., Tan, Y., Ploper, L. D., Porta-Puglia, A., … Yorinori, J. T. (2001). Soybean disease loss estimates for the top ten soybean-producing counries in 1998. Canadian Journal of Plant Pathology, 23(2), 115-121. doi:10.1080/0706066010950691

    Open data from the third observing run of LIGO, Virgo, KAGRA, and GEO

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    The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in 2019 April and lasting six months, O3b starting in 2019 November and lasting five months, and O3GK starting in 2020 April and lasting two weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main data set, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages

    Search for gravitational-wave transients associated with magnetar bursts in advanced LIGO and advanced Virgo data from the third observing run

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    Gravitational waves are expected to be produced from neutron star oscillations associated with magnetar giant f lares and short bursts. We present the results of a search for short-duration (milliseconds to seconds) and longduration (∼100 s) transient gravitational waves from 13 magnetar short bursts observed during Advanced LIGO, Advanced Virgo, and KAGRA’s third observation run. These 13 bursts come from two magnetars, SGR1935 +2154 and SwiftJ1818.0−1607. We also include three other electromagnetic burst events detected by FermiGBM which were identified as likely coming from one or more magnetars, but they have no association with a known magnetar. No magnetar giant flares were detected during the analysis period. We find no evidence of gravitational waves associated with any of these 16 bursts. We place upper limits on the rms of the integrated incident gravitational-wave strain that reach 3.6 × 10−²³ Hz at 100 Hz for the short-duration search and 1.1 ×10−²² Hz at 450 Hz for the long-duration search. For a ringdown signal at 1590 Hz targeted by the short-duration search the limit is set to 2.3 × 10−²² Hz. Using the estimated distance to each magnetar, we derive upper limits upper limits on the emitted gravitational-wave energy of 1.5 × 1044 erg (1.0 × 1044 erg) for SGR 1935+2154 and 9.4 × 10^43 erg (1.3 × 1044 erg) for Swift J1818.0−1607, for the short-duration (long-duration) search. Assuming isotropic emission of electromagnetic radiation of the burst fluences, we constrain the ratio of gravitational-wave energy to electromagnetic energy for bursts from SGR 1935+2154 with the available fluence information. The lowest of these ratios is 4.5 × 103

    Comportamento ingestivo de vacas em lactação e de ovinos alimentados com dietas contendo palma forrageira Ingestive behavior of lactating cows and sheep fed diets with spineless cactus

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    Foram realizados dois experimentos, o primeiro com o objetivo de avaliar o efeito da substituição do feno de capim-elefante por palma forrageira e o segundo para avaliar o efeito da substituição total do milho, e parcial da soja, por palma e ureia sobre o comportamento ingestivo de ovinos e de vacas em lactação, respectivamente. No experimento 1, foram utilizados cinco ovinos machos, não-castrados, sem raça definida, com peso médio de 25,8 kg, distribuídos em quadrado latino 5 x 5. No experimento 2, foram utilizadas 8 vacas em lactação, com produção média inicial de 14 kg leite/dia, distribuídas em dois quadrados latino 4 x 4. A observação dos dados comportamentais foi realizada visualmente, durante 24 horas, em ambos os experimentos. No experimento 1, com a inclusão da palma forrageira, os consumos de matéria seca, o tempo de alimentação e as eficiências de ruminação aumentaram linearmente, ao passo que o tempo de ruminação reduziu, linearmente também; o consumo de fibra em detergente neutro (FDN) e as eficiências de alimentação apresentaram comportamento quadrático. No experimento 2, a inclusão de palma e ureia não influenciou os consumos de matéria seca e FDN nem os tempos de alimentação e ruminação e as eficiências de alimentação e de ruminação (kgMS/hora), no entanto, a eficiência de ruminação (kg FDN/hora) apresentou comportamento quadrático. O tempo de mastigação total e o tempo de ócio não foram influenciados pela inclusão de palma na dieta nos dois experimentos. Recomenda-se para ração de ruminantes com alta proporção de palma forrageira a inclusão de uma fonte de fibra fisicamente efetiva.<br>It was carried out two experiments, the first aiming to assess the effect of substituting elephant grass hay by spineless cactus and the second to evaluate the total replacement of corn and partial replacement of soybean by cactus and urea regarding to the ingestion behavior of sheep and lactating cows, respectively. In experiment 1, five mixed-breed non castrated male sheep with 25.8 kg average weight were distributed in a 5 x 5 latin square. In experiment 2, it was used eight lactating cows 14 kg milk/day average initial production distributed in two 4 x 4 latin squares. The observation of the behavioral data was visually performed for a period of 24 hours in both experiments. In experiment 1, the intake of dry matter, feeding time and rumination efficiency increased linearly with the inclusion of the spineless cactus, whereas rumination time decreased linearly; the consumption of neutral detergent fiber (NDF) and feeding efficiency exhibited quadratic behavior. In experiment 2, the inclusion of cactus and urea had no influence on dry matter and NDF intake, neither on time (kgDM/h) and efficiency of feeding and rumination; however, rumination efficiency (kgNDF/h) exhibited quadratic behavior. Total mastication time and idle time were not influenced by the inclusion of cactus in the diet in both experiments. The inclusion of a source of physically effective fiber is recommended for ruminant rations with a high proportion of spineless cactus

    Observation of Gravitational Waves from the Coalescence of a 2.54.5 M2.5-4.5~M_\odot Compact Object and a Neutron Star

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    International audienceWe report the observation of a coalescing compact binary with component masses 2.54.5 M2.5-4.5~M_\odot and 1.22.0 M1.2-2.0~M_\odot (all measurements quoted at the 90% credible level). The gravitational-wave signal GW230529_181500 was observed during the fourth observing run of the LIGO-Virgo-KAGRA detector network on 2023 May 29 by the LIGO Livingston Observatory. The primary component of the source has a mass less than 5 M5~M_\odot at 99% credibility. We cannot definitively determine from gravitational-wave data alone whether either component of the source is a neutron star or a black hole. However, given existing estimates of the maximum neutron star mass, we find the most probable interpretation of the source to be the coalescence of a neutron star with a black hole that has a mass between the most massive neutron stars and the least massive black holes observed in the Galaxy. We estimate a merger rate density of 5547+127 Gpc3yr155^{+127}_{-47}~\text{Gpc}^{-3}\,\text{yr}^{-1} for compact binary coalescences with properties similar to the source of GW230529_181500; assuming that the source is a neutron star-black hole merger, GW230529_181500-like sources constitute about 60% of the total merger rate inferred for neutron star-black hole coalescences. The discovery of this system implies an increase in the expected rate of neutron star-black hole mergers with electromagnetic counterparts and provides further evidence for compact objects existing within the purported lower mass gap

    Observation of Gravitational Waves from the Coalescence of a 2.54.5 M2.5-4.5~M_\odot Compact Object and a Neutron Star

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    International audienceWe report the observation of a coalescing compact binary with component masses 2.54.5 M2.5-4.5~M_\odot and 1.22.0 M1.2-2.0~M_\odot (all measurements quoted at the 90% credible level). The gravitational-wave signal GW230529_181500 was observed during the fourth observing run of the LIGO-Virgo-KAGRA detector network on 2023 May 29 by the LIGO Livingston Observatory. The primary component of the source has a mass less than 5 M5~M_\odot at 99% credibility. We cannot definitively determine from gravitational-wave data alone whether either component of the source is a neutron star or a black hole. However, given existing estimates of the maximum neutron star mass, we find the most probable interpretation of the source to be the coalescence of a neutron star with a black hole that has a mass between the most massive neutron stars and the least massive black holes observed in the Galaxy. We estimate a merger rate density of 5547+127 Gpc3yr155^{+127}_{-47}~\text{Gpc}^{-3}\,\text{yr}^{-1} for compact binary coalescences with properties similar to the source of GW230529_181500; assuming that the source is a neutron star-black hole merger, GW230529_181500-like sources constitute about 60% of the total merger rate inferred for neutron star-black hole coalescences. The discovery of this system implies an increase in the expected rate of neutron star-black hole mergers with electromagnetic counterparts and provides further evidence for compact objects existing within the purported lower mass gap

    Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

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    International audienceGravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

    Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

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    International audienceGravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

    Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

    No full text
    International audienceGravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

    Search for subsolar-mass black hole binaries in the second part of Advanced LIGO's and Advanced Virgo's third observing run

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    International audienceWe describe a search for gravitational waves from compact binaries with at least one component with mass 0.2 MM_\odot--1.0M1.0 M_\odot and mass ratio q0.1q \geq 0.1 in Advanced LIGO and Advanced Virgo data collected between 1 November 2019, 15:00 UTC and 27 March 2020, 17:00 UTC. No signals were detected. The most significant candidate has a false alarm rate of 0.2 yr1\mathrm{yr}^{-1}. We estimate the sensitivity of our search over the entirety of Advanced LIGO's and Advanced Virgo's third observing run, and present the most stringent limits to date on the merger rate of binary black holes with at least one subsolar-mass component. We use the upper limits to constrain two fiducial scenarios that could produce subsolar-mass black holes: primordial black holes (PBH) and a model of dissipative dark matter. The PBH model uses recent prescriptions for the merger rate of PBH binaries that include a rate suppression factor to effectively account for PBH early binary disruptions. If the PBHs are monochromatically distributed, we can exclude a dark matter fraction in PBHs fPBH0.6f_\mathrm{PBH} \gtrsim 0.6 (at 90% confidence) in the probed subsolar-mass range. However, if we allow for broad PBH mass distributions we are unable to rule out fPBH=1f_\mathrm{PBH} = 1. For the dissipative model, where the dark matter has chemistry that allows a small fraction to cool and collapse into black holes, we find an upper bound fDBH<105f_{\mathrm{DBH}} < 10^{-5} on the fraction of atomic dark matter collapsed into black holes
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