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Journal articles on the topic 'Prokariot'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Elvara, Ramasta Nesya, Muhammad Nurdin, Ivayani Ivayani, and Suskandini Ratih Dirmawati. "EKSPLORASI MIKROORGANISME PROKARIOT ASAL BONGGOL PISANG UNTUK MENGENDALIKAN PENYAKIT LAYU FUSARIUM PADA TANAMAN PISANG SECARA IN VITRO." Jurnal Agrotek Tropika 11, no. 2 (2023): 309. http://dx.doi.org/10.23960/jat.v11i2.7186.

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Fusarium oxysporum f. sp cubense (E.F.Smith) Snyder dan Hansen (Foc) merupakan patogen yang menyebabkan penyakit layu fusarium pada tanaman pisang. Saat ini usaha pengendalian masih menggunakan pengendalian kimiawi, namun pengendalian kimiawi yang berlebihan dapat menimbulkan kerugian pada manusia dan lingkungan. Salah satu alternatif yaitu menggunakan agensi hayati yang berasal dari fermentasi bahan-bahan alami yang mengandung mikroorganisme lokal (MOL). Salah satu limbah pertanian yang dapat digunakan dalam membuat larutan MOL adalah bonggol pisang. Kandungan gizi dalam bonggol pisang dapat

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2

Nafisah, Zahrotun, Afaf Baktir та Zimon Pereiz. "Konstruksi Pustaka Metagenom Prokariot Dari Permukaan Eucheuma Cottonii Untuk Mencari Gen Penyandi Κ-Karaginase". Jurnal Indonesia Sosial Teknologi 4, № 4 (2023): 497–507. http://dx.doi.org/10.59141/jist.v4i4.613.

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κ-Karaginan adalah koloid hidrofilik yang diekstrak dari makroalga Eucheuma cottonii. κ-karaginan mempunyai berat molekul yang sangat besar sehingga pemanfaatannya terbatas. Namun, dalam bentuk Carrageenan Oligosaccharide (COs), κ-karaginan mempunyai aktivitas fisik dan biologi yang bervariasi, termasuk anti tumor, anti oksidan dan anti angiogenik. Enzim κ-karaginase berperan memutus ikatan β-(1,4) pada κ-karaginan untuk menghasilkan κ-COs (κ-carrageenan oligosaccharide). Ada berbagai macam bakteri yang hidup di permukaan Eucheuma cottonii, namun hanya ada 1% bakteri yang dapat dikultur. Metod

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3

Ergasheva, Elnura Toxir qizi. "BIOLUMINESANS VA EKOLOGIK MUVOZANAT." Journal of International science networks 1, no. 5 (2025): 30–33. https://doi.org/10.5281/zenodo.15381975.

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Qorong‘ida porlayotgan o‘simliklarni olish istiqbollari olimlar va oddiy odamlarning tasavvurini o‘ziga jalb qiladi. Yorug‘lik emissiyasi genlarni ifodalashning foydali belgisi sifatida ishlab chiqilgan bo‘lsa-da, o‘simliklardagi bioluminesans tashqi tomondan ta’minlangan substratga bog‘liq bo‘lib qoldi. Prokariot genlarni ifodalash mexanizmining evolyutsion saqlanishi, avtonom yorug‘lik chiqarishga qodir bo‘lgan o‘simliklar hosil qiluvchi xloroplastlarda lyuks operonning olti genini ifodalashga imkon berdi. Ushbu ish prok

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4

Hardianto, Dudi, Alfik Indarto, and Nurtjahjo Dwi Sasongko. "OPTIMASI METODE LISIS ALKALI UNTUK MENINGKATKAN KONSENTRASI PLASMID." Jurnal Bioteknologi & Biosains Indonesia (JBBI) 2, no. 2 (2015): 60. http://dx.doi.org/10.29122/jbbi.v2i2.510.

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Plasmids are extra chromosomal molecules of DNA that replicate autonomously and found in prokaryote and eukaryote cells. There are a number of methods that are used to isolate plasmids, such as alkaline lysis, boiling lysis, using cesium chloride, and chromatography. Amongst the disadvantages in plasmid isolation methods are lengthy time especially when handling a large number of samples, high cost, and low purity. Alkaline lysis is the most popular for plasmid isolation because of its simplicity, relatively low cost, and reproducibility. This method can be accomplished in 50 minutes to one ho

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5

Anasari, Selvi, Muhammad Nurdin, Ivayani Ivayani, and Suskandini Ratih. "EKSPLORASI MIKROORGANISME PROKARIOT ASAL BONGGOL PISANG UNTUK MENGENDALIKAN PENYAKIT LAYU BAKTERI (Ralstonia solanacearum Smith) TANAMAN PISANG SECARA IN VITRO." Jurnal Agrotek Tropika 10, no. 3 (2022): 461. http://dx.doi.org/10.23960/jat.v10i3.6107.

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Pemilihan bonggol tanaman pisang sebagai bahan baku MOL yaitu untuk mengurangi limbah perkebunan pisang dan para petani pisang lebih mudah mendapatkannya serta mengelolanya menjadi larutan MOL. Larutan MOL mengandung unsur hara mikro dan makro serta agensia hayati yang berfungsi sebagai biodekomposer, pupuk hayati, dan biopestisida. Mikroorganisme yang telah didentifikasi pada bonggol pisang antara lain Pseudomonas fluorescens.,Bacillus sp., Aeromonas sp., Aspergillus niger, Azospirillium, Azotobacter dan mikroba selulolitik. Tujuan dilakukannya penelitian ini adalah untuk mengeksplorasi mikro

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6

Purbani, Debora Christin, Wiwik Ambarwati, Aradea Bujana Kusuma, and Nurlaila Ervina Herliany. "IDENTIFIKASI MIKROALGA LAUT DARI TAMBRAUW, PAPUA BARAT." Jurnal Ilmu dan Teknologi Kelautan Tropis 11, no. 3 (2019): 777–91. http://dx.doi.org/10.29244/jitkt.v11i3.25862.

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Tambrauw merupakan salah satu Kabupaten di Papua Barat, dikenal sebagai daerah mega-biodiversitas, termasuk mikroalga laut yang memiliki peran penting dalam sistem rantai makanan di perairan. Namun di sisi lain keanekaragaman mikroalga laut di daerah ini masih belum banyak diteliti. Penelitian ini dilakukan untuk mengisolasi dan mengidentifikasi mikroalga laut dari Tambrauw berdasarkan pendekatan morfologi dan molekular. Mikroalga laut diisolasi dari sumber alami di Tambrauw, dimurnikan dan dikultur di bawah kondisi standar. Empat belas kultur mikroalga laut dipilih berdasarkan pertumbuhan, ke

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7

Widyaningtyas, Silvia Tri, Sofy Meilany, and Budiman Bela. "Cloning and expression of Human Papilloma virus type 16 L1 capsid protein in bacteria." Health Science Journal of Indonesia 10, no. 2 (2019): 82–89. http://dx.doi.org/10.22435/hsji.v12i2.2442.

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Latar belakang: Secara alamiah protein kapsid L1 Human Papillomavirus (HPV) tipe 16 dapat mengalami auto assembly untuk membentuk Viral like particle (VLP). Terkait dengan penelitian vaksin HPV, VLP dapat digunakan untuk berbagai keperluan seperti vaksin, pseudovirion atau SpyTag-Spycatcher. Penelitian ini ditujukan untuk mendapatkan plasmid rekombinan yang digunakan untuk produksi protein L1 HPV 16. Metode: Gen penyandi protein L1 HPV 16 diklona ke dalam vector pQE80L, suatu plasmid yang mengandung sistem ekspresi untuk prokariota. DNA penyandi HPV 16 L1 disisipkan pada situs restriksi

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8

A'zamjonova, Moxidil Baxtiyor qizi. "VOLVOKSNAMOLAR HAQIDA QISQACHA." ILM-FAN VA INNOVATSIYA ILMIY-AMALIY KONFERENSIYASI 2, no. 08 (2023): 90–91. https://doi.org/10.5281/zenodo.7961768.

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ushbu tezisda suv o’tlarning biologik va kimyoviy tarkibi, ularning inson va tabiat hayotidagi o’rni haqida yozilgan. Bundan tashqari tezisda volvoksnamolar haida ham qisqacha ma’lumot berilgan.  

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9

Haselkorn, R. "Prokaryote Photosynthesizers." Science 269, no. 5227 (1995): 1121. http://dx.doi.org/10.1126/science.269.5227.1121.

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10

Poxton, I. R. "Prokaryote envelope diversity." Journal of Applied Bacteriology 74 (June 1993): 1S—11S. http://dx.doi.org/10.1111/j.1365-2672.1993.tb04337.x.

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11

Tindall, Brian J., Peter Kämpfer, Jean P. Euzéby, and Aharon Oren. "Valid publication of names of prokaryotes according to the rules of nomenclature: past history and current practice." International Journal of Systematic and Evolutionary Microbiology 56, no. 11 (2006): 2715–20. http://dx.doi.org/10.1099/ijs.0.64780-0.

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It is now 30 years since the concept of valid publication was introduced into prokaryote systematics in such a way that a system of registration/indexing was integrated. Despite the success of this system and the introduction of the Approved Lists of Bacterial Names, accompanied by a new starting date in prokaryote nomenclature, there is a need to review both the historical aspects and current practices so that the current generation of prokaryote systematists have an up-to-date overview of some of the key elements.

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12

Spencer, Matthew, Edward Susko, and Andrew J. Roger. "Modelling Prokaryote Gene Content." Evolutionary Bioinformatics 2 (January 2006): 117693430600200. http://dx.doi.org/10.1177/117693430600200029.

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13

Poole, Anthony M., Matthew J. Phillips, and David Penny. "Prokaryote and eukaryote evolvability." Biosystems 69, no. 2-3 (2003): 163–85. http://dx.doi.org/10.1016/s0303-2647(02)00131-4.

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14

Hunt, Lois T., David G. George, and Winona C. Barker. "The prokaryote-eukaryote interface." Biosystems 18, no. 3-4 (1985): 223–40. http://dx.doi.org/10.1016/0303-2647(85)90023-1.

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15

Inderbitzin, Patrik, Barbara Robbertse, and Conrad L. Schoch. "Species Identification in Plant-Associated Prokaryotes and Fungi Using DNA." Phytobiomes Journal 4, no. 2 (2020): 103–14. http://dx.doi.org/10.1094/pbiomes-12-19-0067-rvw.

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Species names are fundamental to managing biological information. The surge of interest in microbial diversity has resulted in an increase in the number of microbes that need to be identified and assigned a species name. This article provides an introduction to the principles of DNA-based identification of Archaea and Bacteria traditionally known as prokaryotes, and Fungi, the Oomycetes and other protists, collectively referred to as fungi. The prokaryotes and fungi are the most commonly studied microbes from plants, and we introduce the most relevant concepts of prokaryote and fungal taxonomy

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16

Liu, Jianhui, Tianfu Zhang, Xiaolin Liu, and Ben Zhong Tang. "Give crucibles to a prokaryote." Matter 5, no. 8 (2022): 2540–42. http://dx.doi.org/10.1016/j.matt.2022.06.058.

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17

Cummins, Elizabeth A., Rebecca J. Hall, James O. McInerney, and Alan McNally. "Prokaryote pangenomes are dynamic entities." Current Opinion in Microbiology 66 (April 2022): 73–78. http://dx.doi.org/10.1016/j.mib.2022.01.005.

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18

Ash, Caroline. "Variation in prokaryote adaptive immunity." Science 356, no. 6333 (2017): 37.10–39. http://dx.doi.org/10.1126/science.356.6333.37-j.

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19

Oren, Aharon, and Erko Stackebrandt. "Prokaryote taxonomy online: challenges ahead." Nature 419, no. 6902 (2002): 15. http://dx.doi.org/10.1038/419015c.

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20

Maeder, Dennis L., Alberto J. L. Macario, and Everly Conway de Macario. "Novel Chaperonins in a Prokaryote." Journal of Molecular Evolution 60, no. 3 (2005): 409–16. http://dx.doi.org/10.1007/s00239-004-0173-x.

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21

Patrick, Sheila, and Garry W. Blakely. "Crossing the eukaryote-prokaryote divide." Mobile Genetic Elements 2, no. 3 (2012): 149–51. http://dx.doi.org/10.4161/mge.21191.

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22

MARX, J. L. "Gene Rearrangements in a Prokaryote." Science 229, no. 4717 (1985): 957. http://dx.doi.org/10.1126/science.229.4717.957.

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23

Trüper, H. "How to name a prokaryote? Etymological considerations, proposals and practical advice in prokaryote nomenclature." FEMS Microbiology Reviews 23, no. 2 (1999): 231–49. http://dx.doi.org/10.1016/s0168-6445(99)00005-4.

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24

Trüper, Hans G. "How to name a prokaryote?: Etymological considerations, proposals and practical advice in prokaryote nomenclature." FEMS Microbiology Reviews 23, no. 2 (1999): 231–49. http://dx.doi.org/10.1111/j.1574-6976.1999.tb00397.x.

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25

Carneiro, Adriana R., Rommel Thiago Jucá Ramos, Hivana Patricia Melo Barbosa, et al. "Quality of prokaryote genome assembly: Indispensable issues of factors affecting prokaryote genome assembly quality." Gene 505, no. 2 (2012): 365–67. http://dx.doi.org/10.1016/j.gene.2012.06.016.

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26

Gillson, G., T. L. Richards, R. B. Smith, and J. V. Wright. "A double-blind pilot study of the effect of Prokarin™ on fatigue in multiple sclerosis." Multiple Sclerosis Journal 8, no. 1 (2002): 30–35. http://dx.doi.org/10.1191/1352458502ms777oa.

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In this 12-week study with 29 subjects, the effect of Prokarin™ (n=22), a proprietary blend of histamine and caffeine, was compared to placebo group (n=7) for the following outcomes: 1) fatigue as measured by the Modified Fatigue Impact Scale (MFIS); 2) lower limb function as measured by timed walk test; 3) upper limb function as measured by the pegboard test; 4) cognitive function as measured by the Paced Auditory Serial Additions Test (PASAT); 5) serum caffeine level; 6) change in brain chemistry as measured by quantitative magnetic resonance spectroscopy assay of N-acetyl aspartate (NAA); a

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27

Gillson, G., TL Richards, RB Smith, and JV Wright. "A double-blind pilot study of the effect of Prokarin™ on fatigue in multiple sclerosis." Multiple Sclerosis Journal 8, no. 1_suppl (2002): 30–35. http://dx.doi.org/10.1177/135245850200800107.

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In this 12-week study with 29 subjects, the effect of Prokarin™ (n =22), a proprietary blend of histamine and caffeine, was compared to placebo group (n=7) for the following outcomes: 1) fatigue as measured by the Modified Fatigue Impact Scale (MFIS); 2) lower limb function as measured by timed walk test; 3) upper limb function as measured by the pegboard test; 4) cognitive function as measured by the Paced Auditory Serial Additions Test (PASAT); 5) serum caffeine level; 6) change in brain chemistry as measured by quantitative magnetic resonance spectroscopy assay of N-acetyl aspartate (NAA);

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28

HAO, BAILIN. ""SPATIAL-TEMPORAL" PATTERNS IN PROKARYOTE GENOMES." International Journal of Bifurcation and Chaos 12, no. 11 (2002): 2625–30. http://dx.doi.org/10.1142/s0218127402006096.

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We have developed a simple scheme to visualize the string composition of long DNA sequences and applied it to all available prokaryote complete genomes. Each species has a specific "portrait" and most clearly seen patterns in these portraits are determined by short avoided and under-represented strings. The "spatial" patterns in the space of short strings might reflect some "temporal" events in the evolutionary history.

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29

Schaap, Pauline. "Prokaryote-Like Signaling Controls Eukaryote Development." Microbe Magazine 9, no. 5 (2014): 198–203. http://dx.doi.org/10.1128/microbe.9.198.1.

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30

Braun, F. N. "Thermodynamics of the prokaryote nuclear zone." International Journal of Astrobiology 7, no. 2 (2008): 183–85. http://dx.doi.org/10.1017/s1473550408004217.

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AbstractIn studying the functional and evolutionary significance of compartmentation in biology, it is instructive to consider its thermodynamic context as a conceptual centrepiece of entropy and phase transitions. Here we focus specifically on compartmentation at the intracellular level of microbial organellar cytology. Via a colloid-statistical argument, supplemented with order of magnitude estimates for the relevant physical quantities, we find that the DNA-containing nucleoid of prokaryotes presents a plausible nucleation site for phase-transitional behaviour, provided the genome exceeds s

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31

Ackermann, H. W., and D. Prangishvili. "Prokaryote viruses studied by electron microscopy." Archives of Virology 157, no. 10 (2012): 1843–49. http://dx.doi.org/10.1007/s00705-012-1383-y.

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32

Ishino, Yoko, Hitomi Okada, Masahiko Ikeuchi, and Hisaaki Taniguchi. "Mass spectrometry-based prokaryote gene annotation." PROTEOMICS 7, no. 22 (2007): 4053–65. http://dx.doi.org/10.1002/pmic.200700080.

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33

Ahmed, H. H. "GENOTOXIC EFFECT OF CADMIUM IN PROKARYOTE." Al-Azhar Journal of Pharmaceutical Sciences 70, no. 2 (2024): 195–207. https://doi.org/10.21608/ajps.2024.429985.

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34

Wood, Jamie R., Olivia R. Burge, Nic Bolstridge, et al. "Vertical distribution of prokaryotes communities and predicted metabolic pathways in New Zealand wetlands, and potential for environmental DNA indicators of wetland condition." PLOS ONE 16, no. 1 (2021): e0243363. http://dx.doi.org/10.1371/journal.pone.0243363.

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Globally, wetlands are in decline due to anthropogenic modification and climate change. Knowledge about the spatial distribution of biodiversity and biological processes within wetlands provides essential baseline data for predicting and mitigating the effects of present and future environmental change on these critical ecosystems. To explore the potential for environmental DNA (eDNA) to provide such insights, we used 16S rRNA metabarcoding to characterise prokaryote communities and predict the distribution of prokaryote metabolic pathways in peats and sediments up to 4m below the surface acro

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35

KALAYCI, Serpil. "Fen Bilgisi Öğretmen Adaylarının “Prokaryot-Ökaryot” Konusundaki Bilişsel Yapılarının Belirlenmesi." e-International Journal of Educational Research 8, no. 3 (2017): 46–64. http://dx.doi.org/10.19160/ijer.337877.

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36

Chiyomaru, Katsumi, and Kazuhiro Takemoto. "Revisiting the hypothesis of an energetic barrier to genome complexity between eukaryotes and prokaryotes." Royal Society Open Science 7, no. 2 (2020): 191859. http://dx.doi.org/10.1098/rsos.191859.

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The absence of genome complexity in prokaryotes, being the evolutionary precursors to eukaryotic cells comprising all complex life (the prokaryote–eukaryote divide), is a long-standing question in evolutionary biology. A previous study hypothesized that the divide exists because prokaryotic genome size is constrained by bioenergetics (prokaryotic power per gene or genome being significantly lower than eukaryotic ones). However, this hypothesis was evaluated using a relatively small dataset due to lack of data availability at the time, and is therefore controversial. Accordingly, we constructed

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37

Sapp, Jan. "The Prokaryote-Eukaryote Dichotomy: Meanings and Mythology." Microbiology and Molecular Biology Reviews 69, no. 2 (2005): 292–305. http://dx.doi.org/10.1128/mmbr.69.2.292-305.2005.

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SUMMARY Drawing on documents both published and archival, this paper explains how the prokaryote-eukaryote dichotomy of the 1960s was constructed, the purposes it served, and what it implied in terms of classification and phylogeny. In doing so, I first show how the concept was attributed to Edouard Chatton and the context in which he introduced the terms. Following, I examine the context in which the terms were reintroduced into biology in 1962 by Roger Stanier and C. B. van Niel. I study the discourse over the subsequent decade to understand how the organizational dichotomy took on the form

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38

Garuglieri, Elisa, Jenny Marie Booth, Marco Fusi, et al. "Morphological characteristics and abundance of prokaryotes associated with gills in mangrove brachyuran crabs living along a tidal gradient." PLOS ONE 17, no. 4 (2022): e0266977. http://dx.doi.org/10.1371/journal.pone.0266977.

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Due to the chemico-physical differences between air and water, the transition from aquatic life to the land poses several challenges for animal evolution, necessitating morphological, physiological and behavioural adaptations. Microbial symbiosis is known to have played an important role in eukaryote evolution, favouring host adaptation under changing environmental conditions. We selected mangrove brachyuran crabs as a model group to investigate the prokaryotes associated with the gill of crabs dwelling at different tidal levels (subtidal, intertidal and supratidal). In these animals, the gill

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Brown, J. R., and W. F. Doolittle. "Archaea and the prokaryote-to-eukaryote transition." Microbiology and Molecular Biology Reviews 61, no. 4 (1997): 456–502. http://dx.doi.org/10.1128/mmbr.61.4.456-502.1997.

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Since the late 1970s, determining the phylogenetic relationships among the contemporary domains of life, the Archaea (archaebacteria), Bacteria (eubacteria), and Eucarya (eukaryotes), has been central to the study of early cellular evolution. The two salient issues surrounding the universal tree of life are whether all three domains are monophyletic (i.e., all equivalent in taxanomic rank) and where the root of the universal tree lies. Evaluation of the status of the Archaea has become key to answering these questions. This review considers our cumulative knowledge about the Archaea in relatio

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Brown, J. R., and W. F. Doolittle. "Archaea and the prokaryote-to-eukaryote transition." Microbiology and molecular biology reviews : MMBR 61, no. 4 (1997): 456–502. http://dx.doi.org/10.1128/.61.4.456-502.1997.

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41

Kozobay-Avraham, L., S. Hosid, Z. Volkovich, and A. Bolshoy. "Prokaryote clustering based on DNA curvature distributions." Discrete Applied Mathematics 157, no. 10 (2009): 2378–87. http://dx.doi.org/10.1016/j.dam.2008.06.049.

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42

Eelderink-Chen, Zheng, Jasper Bosman, Francesca Sartor, Antony N. Dodd, Ákos T. Kovács, and Martha Merrow. "A circadian clock in a nonphotosynthetic prokaryote." Science Advances 7, no. 2 (2021): eabe2086. http://dx.doi.org/10.1126/sciadv.abe2086.

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Circadian clocks create a 24-hour temporal structure, which allows organisms to occupy a niche formed by time rather than space. They are pervasive throughout nature, yet they remain unexpectedly unexplored and uncharacterized in nonphotosynthetic bacteria. Here, we identify in Bacillus subtilis circadian rhythms sharing the canonical properties of circadian clocks: free-running period, entrainment, and temperature compensation. We show that gene expression in B. subtilis can be synchronized in 24-hour light or temperature cycles and exhibit phase-specific characteristics of entrainment. Upon

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43

Mohamad, Amaleena, Noorain A.Jusoh, Zaw Zaw Htike, and Shoon Lei Win. "Advances in Prokaryote Classification from Microscopic Images." Electrical & Computer Engineering: An International Journal 3, no. 2 (2014): 13–24. http://dx.doi.org/10.14810/ecij.2014.3202.

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44

Amaleena, Mohamad, A. Jusoh Noorain, Zaw Htike Zaw, and Lei Win Shoon. "ADVANCES IN PROKARYOTE CLASSIFICATION FROM MICROSCOPIC IMAGES." Electrical & Computer Engineering: An International Journal (ECIJ) 3, no. 2 (2014): 13–24. https://doi.org/10.5281/zenodo.3385675.

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Great knowledge and experience on microbiology are required for accurate bacteria identification. Automation of bacteria identification is required because there might be a shortage of skilled microbiologists and clinicians at a time of great need. There have been several attempts to perform automatic background identification. This paper reviews state-of-the-art automatic bacteria identification techniques. This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.

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45

Mojica, Kristina D. A., and Corina P. D. Brussaard. "Significance of Viral Activity for Regulating Heterotrophic Prokaryote Community Dynamics along a Meridional Gradient of Stratification in the Northeast Atlantic Ocean." Viruses 12, no. 11 (2020): 1293. http://dx.doi.org/10.3390/v12111293.

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How microbial populations interact influences the availability and flux of organic carbon in the ocean. Understanding how these interactions vary over broad spatial scales is therefore a fundamental aim of microbial oceanography. In this study, we assessed variations in the abundances, production, virus and grazing induced mortality of heterotrophic prokaryotes during summer along a meridional gradient in stratification in the North Atlantic Ocean. Heterotrophic prokaryote abundance and activity varied with phytoplankton biomass, while the relative distribution of prokaryotic subpopulations (r

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46

Anderson, Sean R., and Elizabeth L. Harvey. "Estuarine microbial networks and relationships vary between environmentally distinct communities." PeerJ 10 (September 20, 2022): e14005. http://dx.doi.org/10.7717/peerj.14005.

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Microbial interactions have profound impacts on biodiversity, biogeochemistry, and ecosystem functioning, and yet, they remain poorly understood in the ocean and with respect to changing environmental conditions. We applied hierarchical clustering of an annual 16S and 18S amplicon dataset in the Skidaway River Estuary, which revealed two similar clusters for prokaryotes (Bacteria and Archaea) and protists: Cluster 1 (March-May and November-February) and Cluster 2 (June-October). We constructed co-occurrence networks from each cluster to explore how microbial networks and relationships vary bet

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Remelia, Melinda, Budiman Bela, Silvia Tri Widyaningtyas, and Fera Ibrahim. "Konstruksi Plasmid Pengekspresi Antigen Gag dan Protein Penghantar VP22 untuk Pengembangan Vaksin HIV-1." Media Penelitian dan Pengembangan Kesehatan 31, no. 2 (2021): 85–96. http://dx.doi.org/10.22435/mpk.v31i2.3046.

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The endogenous HIV-1 vaccine based on Gag protein is expected to stimulate the immune response of CD8+ T cells (cytotoxic). The Gag protein that has been produced by the E.coli prokaryote system is an exogenous antigen. The fusion of VP22 protein is expected to deliver Gag antigen into the cytoplasm of cell, observed by eGFP markers. Sequences of VP22 (114 pb), GagHIV-1 (1506 pb), and eGFP (733 pb) were inserted into the pQE80L, respectively. The recombinant protein was expressed in the E.coli system and purified by the Ni-NTA method. Antigen delivery fused with VP22 and eGFP was observed with

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Koch, Arthur L. "Biomass Growth Rate during the Prokaryote Cell Cycle." Critical Reviews in Microbiology 19, no. 1 (1993): 17–42. http://dx.doi.org/10.3109/10408419309113521.

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Ohya, I., S. Mizuta, and T. Shimizu. "Analysis of transmembrane-protem-gene Clusters in prokaryote." Seibutsu Butsuri 43, supplement (2003): S216. http://dx.doi.org/10.2142/biophys.43.s216_2.

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Kämpfer, Peter. "The characterization of prokaryote strains for taxonomic purposes." International Journal of Systematic and Evolutionary Microbiology 60, no. 1 (2010): 7. http://dx.doi.org/10.1099/ijs.0.020768-0.

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