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Quick dna fungal bacterial miniprep kit

Manufactured by Zymo Research
Sourced in United States

The Quick-DNA Fungal/Bacterial Miniprep Kit is a laboratory equipment product designed for the rapid and efficient extraction of DNA from a variety of fungal and bacterial samples. The kit utilizes a fast and simple protocol to isolate high-quality genomic DNA suitable for downstream applications such as PCR amplification, sequencing, and other molecular biology techniques.

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110 protocols using quick dna fungal bacterial miniprep kit

1

Fungal DNA Extraction and Sequencing

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Total genomic DNA of 38 specimens of Parmeliaceae was extracted from apothecia or thalli using the Quick-DNA™ Fungal/Bacterial Miniprep Kit (Zymo Research, Irvine, CA) following the manufacturers’ instructions. Genome sequencing, assembly, and taxonomic assignment were carried out as described in Pizarro et al. (2018 ).
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2

Bacterial species identification protocol

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Nat1 isolate was inoculated on Luria Bertani agar plates (1% w/v tryptone, 0.5% w/v yeast extract, 1% w/v NaCl, 2% w/v agar, 1% w/v soluble starch). Nat1 isolate was grown at a temperature of 37°C for 24 hours and then sent into Genetika Science Laboratorium, PT. Genetika Science Indonesia, Jakarta for bacterial species barcoding. Bacteria were identified based on the identification of full-length 16S rRNA. The bacterial identification included extraction of genomic DNA with quick-DNA Fungal/Bacterial Miniprep Kit (Zymo Research, D6005), PCR amplification with MyTaq HS Red Mix (BIO-25047) and purification, then bidirectional PCR product sequencing [20] (link). The resulting fragment of 1.3 kb was compared to other 16S rRNAs in the GenBank database using the NCBI BLAST tool. A phylogenetic tree was constructed using neighbor-joining by NCBI BLAST Tree Method with 1000 bostraps. The morphology and physiology properties of bacteria were determined at the Laboratory of Bacterial Diagnostic, Balai Veteriner Lampung, Bandar Lampung, Indonesia.
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3

Biolog and DNA Barcoding for Microbial Identification

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Isolates were identified via Biolog and DNA barcoding. Biolog identification was carried out as previously described (Taha et al. 2020a ). For DNA barcoding, genomic DNA was extracted using Quick-DNA Fungal/Bacterial Miniprep Kit (Zymo Research, USA) following the manufacturer's instructions. The DNA was barcoded using rRNA-ITS sequence (~700 bp) for fungi and 16S rRNA sequence (~1400 bp) for bacteria. The resulting DNA sequences were deposited in the GenBank database with the accession numbers shown in Tables 1 and2. The DNA sequences were compared using BLAST with the available sequences in the NCBI Nucleotide Collection (nr/nt) Database and the NCBI 16S ribosomal RNA sequences Database for fungi and bacteria, respectively. Nearest BLAST matches with high identity and max score values were selected. To align DNA sequences and construct phylogenetic tree, MEGA7 was used (Kumar et al. 2016) (link). The tree was constructed via the neighbor-joining method and the evolutionary distance was calculated via the Kimura 2-parameter method.
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4

Molecular Identification of Bacterial Strain CNUC13

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The genomic DNA of strain CNUC13 was extracted using the Quick-DNA Fungal/Bacterial Miniprep Kit (Zymo Research, Orange, CA, USA) in accordance with the kit instruction manual. The molecular identification of CNUC13 was conducted via polymerase chain reaction (PCR) amplification and sequencing of the 16S rRNA region using primers 27F (5′-AGAGTTTGATCCTGGCTCAG-3′) and 1492R (5′-TACGGYTACCTTGTTACGACTT-3′) [30 (link)]. The resulting sequences were used to search the NCBI GenBank database (https://www.ncbi.nlm.nih.gov/ 13 January 2022) via BLASTn. Multiple alignments were performed using the default settings in the MEGA software (version X) [31 (link)]. The neighbor-joining method was utilized in MEGA X, applying the best-fit model of molecular evolution with 1000 bootstrap replicates computed; bootstrap (BS) values above 80% were considered highly supported. Sequences obtained in the present study were submitted to the NCBI GenBank database.
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5

Bacterial Identification by 16S rRNA Sequencing

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A representative isolate of each morphotype was identified by 16S rRNA gene sequencing analysis (Fredriksson et al., 2013 (link)). For this, bacterial DNA was extracted using a Quick-DNA Fungal/Bacterial Miniprep Kit (Zymo Research, Irvine, CA, USA). The 16S rRNA gene was PCR-amplified in a 25 μl reaction containing 12.5 μl (1×) Radiant 2× PCR Master Mix, 1 μl (5 ng/μl) gDNA as a template, and 1 μl of previously reported primers 27F (5′-AGAGTTTGATCCTGGCTCAG-3′) and 1492R (5′-GGTTACCTTGTTACGACTT-3′) (each at 10 mM). The PCR amplicons were purified with DNA Clean and Concentrator TM-5 (Zymo Research), and sequencing was carried out at LANGEBIO, Mexico. The resulting sequences were compared against the non-redundant database of GenBank (Bethesda, MD, USA; https://www.ncbi.nlm.nih.gov/). Best hits were compared and the highest sequence score (≥99% of the sequence cover for the comparison with the database of NCBI) was used to identify bacterial species. The obtained partial sequences have been deposited in the NCBI GenBank database.
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6

Genome Sequencing of Plant Growth-Promoting Bacteria

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The genome sequence was obtained from selected strains after the plant growth promotion tests on rapeseed seedlings. For genome sequencing, the DNA was obtained from selected bacteria after two days of growth at 28 • C using the Quick DNA Fungal/Bacterial Miniprep kit (Zymo Research, Irvine, CA, USA) following the procedure described by the manufacturer.
The draft genome of selected isolates was sequenced on an Illumina MiSeq platform as described by Saati-Santamaría et al. [37] (link). The sequence data were assembled using Velvet (v1.12.10) [38] (link). Gene calling, annotation, and search for genes related to plant growth promotion-and colonization-related capabilities was performed using RAST (v2.0) pipeline [39] (link) and then re-checked by BLASTp against known conserved proteins from phylogenetically related or closest relatives Pseudomonas strains. The Genome Shotgun project for strains CDVBN10 and CDVBN20 has been deposited at DDBJ/EMBL/GenBank under the accessions VDLV00000000 and VDLW00000000, respectively. The versions described in this paper are versions VDLV01000000 and VDLW01000000.
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7

Listeria monocytogenes Identification and Lineage

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Presumptive positive colonies (blue-black) from RAPID'L.mono plates (AEC Amersham) were sub-cultured on 2% blood agar (NHLS, Greenpoint) for overnight growth at 37 °C. All cells recovered from blood agar were subjected to DNA extraction using the Quick-DNA™ Fungal/Bacterial Miniprep Kit (ZymoResearch) according to the manufacturer's instructions. Strains were confirmed as L. monocytogenes by using polymerase chain reaction (PCR) to amplify a 730 bp region of the hlyA gene [45] ,[46] , which is innate to all L. monocytogenes bacteria and encodes for a pore-forming haemolysin [47] (link)–[50] . For added lineage characterisation, isolates were characterised as either lineage I, II or III by a SNP based PCR-RFLP method designed by an author of this study [51] (link). Briefly, the hlyA amplicons underwent restriction digestion with enzymes NdeI, HaeII and Bsh1285I to produce band sizes indicative of lineage I, II or III respectively [51] (link). All amplicons and restriction digests were visualised by gel electrophoresis on a 1.5% agarose gel (Lonza, WhiteHead Scientific), stained with SmartGlowTM pre-stain (Whitehead Scientific).
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8

Phylogenetic Analysis of P. thermoglucosidasius Strains

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Genomic DNA was extracted from the above seven strains and DSM 21625, DSM 2542T, and DSM 6285 using Quick-DNA Fungal/Bacterial Miniprep Kit (Zymo Research). Partial gyrA, recN and rpoB, gene fragments of each strain were amplified by PCR using OneTaq Hot Start Quick-Load 2X Master Mix, Standard Buffer (New England Biolabs) with the primer pairs; gyrAf (GCAAAGCGTATGAAACAGG) and gyrAr GTTCGACAAAGTCATCTTCG), recNf (ACGCTTGTCGATAT TCACG) and recNr (CGCTAAGACGGCTTTCAAT), and rpoBf (GTTTGCATCCGCTTGTATG) and rpoBr (TCTTAAA TGGCGGAACGAG). A phylogenetic tree was constructed based on the concatenated alignments of the above genes using IQ-TREE v1.6.7 with the optimal substitution model determined through model test and ultrafast support (UFBoot; n = 1,000 replicates) (Schmidt et al., 2014 (link)). The phylogeny was visualized using MEGA7 (Kumar et al., 2016 (link)). Genome-based taxonomic affiliation of the seven compared P. thermoglucosidasius genomes (Table 1) was verified using GTDB-Tk v1.7.0 (Chaumeil et al., 2019 (link); Parks et al., 2020 (link)). All basic sequence processing and computation of the identity matrix were performed using BioEdit (Hall, 1999 ).
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9

Genomic DNA Isolation from Fungal/Bacterial Cultures

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For WGS and PCR-based amplification, isolates were grown shaking in SG broth at 37°C, and genomic DNA was isolated using the Quick-DNA fungal/bacterial miniprep kit (Zymo Research, Irvine, CA) according to the manufacturer’s suggested protocol.
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10

Efficient DNA Extraction from Oak Samples

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Samples were shredded and then grinded using Tube Mill Control (IKA-Werke GmbH & CO. KG, Staufen, Germany) with speed 5000 rpm for 3 min. The DNA was purified by using Quick-DNA Fungal/Bacterial Miniprep Kit (Zymo Research, Irvine, CA, USA), following instructions of the manufacturer. The final 20 µl pure DNA eluted from each sample. To prepare for amplification, pure DNA from each sample of three replications was pooled and a total of 12 DNA samples (6 samples for each oak species) was stored at −20 °C until amplification.
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