• Journal of Animal Science and Technology
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• 제63권2호
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• pp.461-464
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• 2021

Escherichia coli normally colonizes the lower intestine of animals and humans, but some serotypes are foodborne pathogens. The Escherichia coli K_EC180 was isolated from swine feces that were collected from a weaner pig. In this genome announcement, E. coli K_EC180 was sequenced using PacBio RS II and Illumina NextSeq 500 platforms. The complete chromosome of E. coli K_EC180 is composed of one circular chromosome (5,017,281 bp) with 50.4% of guanine + cytosine (G + C) content, 4,935 of coding sequence (CDS), 88 of tRNA, and 22 of rRNA genes. The complete genome of E. coli K_EC180 contains the toxin genes such as shiga-like toxins (stxA and stxB).

• Journal of Ecology and Environment
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• 제45권4호
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• pp.170-173
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• 2021

Background: The Slender racer (Orientocoluber spinalis Peters, 1866) has recently been reclassified to the new genus Orientocoluber from Hierophis. Ecological knowledge of this species is limited due to its highly mobile behavior. On 17 July 2020, we captured a female O. spinalis on Oeyeon Island, Boryeong-si, Republic of Korea, and collected its feces for a diet analysis. We observed snake scales from the collected feces and subsequently determined the prey species through morphological and molecular methods. Results: We initially hypothesized that the extracted fecal sample scales belonged to H. vibakari, due to their thin keel and rhombus shape. We also amplified H. vibakari DNA from the extracted fecal sample using Illumina sequencing methods. Our morphological and molecular results suggest that O. spinalis predates H. vibakari on Oeyeon Island. Conclusion: This is the first report of O. spinalis predating another snake species, ophiophagy, and implies that H. vibakari may be a crucial prey item for O. spinalis on Oeyeon Island.

• Journal of Microbiology and Biotechnology
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• 제34권3호
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• pp.580-588
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• 2024

Microbial communities in mangrove forests have recently been intensively investigated to explain the ecosystem function of mangroves. In this study, the soil microbial communities under young (<11 years-old) and old (>17 years-old) mangroves have been studied during dry and wet seasons. In addition, biogeochemical properties of sediments and methane emission from the two different mangrove ages were measured. The results showed that young and old mangrove soil microbial communities were significantly different on both seasons. Seasons seem to affect microbial communities more than the mangrove age does. Proteobacteria and Chloroflexi were two top abundant phyla showing >15%. Physio-chemical properties of sediment samples showed no significant difference between mangrove ages, seasons, nor depth levels, except for TOC showing significant difference between the two seasons. The methane emission rates from the mangroves varied depending on seasons and ages of the mangrove. However, this did not show significant correlation with the microbial community shifts, suggesting that abundance of methanogens was not the driving factor for mangrove soil microbial communities.

• Asian-Australasian Journal of Animal Sciences
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• 제29권10호
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• pp.1371-1382
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• 2016

MicroRNAs (miRNAs) are short non-coding RNAs that post-transcriptionally regulate expression of mRNAs in many biological pathways. Liver plays an important role in the feed efficiency of animals and high and low efficient cattle demonstrated different gene expression profiles by microarray. Here we report comprehensive miRNAs profiles by next-gen deep sequencing in Angus cattle divergently selected for residual feed intake (RFI) and identify miRNAs related to feed efficiency in beef cattle. Two microRNA libraries were constructed from pooled RNA extracted from livers of low and high RFI cattle, and sequenced by Illumina genome analyser. In total, 23,628,103 high quality short sequence reads were obtained and more than half of these reads were matched to the bovine genome (UMD 3.1). We identified 305 known bovine miRNAs. Bta-miR-143, bta-miR-30, bta-miR-122, bta-miR-378, and bta-let-7 were the top five most abundant miRNAs families expressed in liver, representing more than 63% of expressed miRNAs. We also identified 52 homologous miRNAs and 10 novel putative bovine-specific miRNAs, based on precursor sequence and the secondary structure and utilizing the miRBase (v. 21). We compared the miRNAs profile between high and low RFI animals and ranked the most differentially expressed bovine known miRNAs. Bovine miR-143 was the most abundant miRNA in the bovine liver and comprised 20% of total expressed mapped miRNAs. The most highly expressed miRNA in liver of mice and humans, miR-122, was the third most abundant in our cattle liver samples. We also identified 10 putative novel bovine-specific miRNA candidates. Differentially expressed miRNAs between high and low RFI cattle were identified with 18 miRNAs being up-regulated and 7 other miRNAs down-regulated in low RFI cattle. Our study has identified comprehensive miRNAs expressed in bovine liver. Some of the expressed miRNAs are novel in cattle. The differentially expressed miRNAs between high and low RFI give some insights into liver miRNAs regulating physiological pathways underlying variation in this measure of feed efficiency in bovines.

• Asian-Australasian Journal of Animal Sciences
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• 제31권5호
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• pp.738-747
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• 2018

Objective: In a previous study, analysis of Illumina sequenced metagenomic DNA data of bacteria in Vietnamese goats' rumen showed a high diversity of putative lignocellulolytic genes. In this study, taxonomy speculation of microbial community and lignocellulolytic bacteria population in the rumen was conducted to elucidate a role of bacterial structure for effective degradation of plant materials. Methods: The metagenomic data had been subjected into Basic Local Alignment Search Tool (BLASTX) algorithm and the National Center for Biotechnology Information non-redundant sequence database. Here the BLASTX hits were further processed by the Metagenome Analyzer program to statistically analyze the abundance of taxa. Results: Microbial community in the rumen is defined by dominance of Bacteroidetes compared to Firmicutes. The ratio of Firmicutes versus Bacteroidetes was 0.36:1. An abundance of Synergistetes was uniquely identified in the goat microbiome may be formed by host genotype. With regard to bacterial lignocellulose degraders, the ratio of lignocellulolytic genes affiliated with Firmicutes compared to the genes linked to Bacteroidetes was 0.11:1, in which the genes encoding putative hemicellulases, carbohydrate esterases, polysaccharide lyases originated from Bacteroidetes were 14 to 20 times higher than from Firmicutes. Firmicutes seem to possess more cellulose hydrolysis capacity showing a Firmicutes/Bacteroidetes ratio of 0.35:1. Analysis of lignocellulolytic potential degraders shows that four species belonged to Bacteroidetes phylum, while two species belonged to Firmicutes phylum harbouring at least 12 different catalytic domains for all lignocellulose pretreatment, cellulose, as well as hemicellulose saccharification. Conclusion: Based on these findings, we speculate that increasing the members of Bacteroidetes to keep a low ratio of Firmicutes versus Bacteroidetes in goat rumen has resulted most likely in an increased lignocellulose digestion.

• 환경생물
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• 제37권3호
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• pp.380-388
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• 2019

본 연구는 전국 임의의 산양삼 재배지를 선정하여 재배지 내의 토양 특성 및 토양세균군집을 분석하고, 토양 이화학적 특성, 토양세균군집 및 산양삼 생육특성 간의 상관관계를 구명하기 위하여 수행되었다. 토양세균군집 분석은 pyrosequencing analysis (Illumina platform)를 이용하였고, 토양세균군집과 생육특성 간의 상관관계는 Spearman's rank correlation을 이용하여 분석하였다. 8개 산양삼 재배지로부터 분리한 토양세균군집은 2개의 군집으로 군집화를 이루는 것을 확인하였다. 모든 토양샘플에서 Proteobacteria와 Alphaproteobacteria가 각각 35.4%, 24.4%로 가장 높은 상대적 빈도수를 보였다. 산양삼의 생육은 토양 pH가 낮고 Acidobacteria의 상대적 빈도수가 높은 토양에서 증가하였으며, Acidobacteriia (class)와 Koribacteraceae (family)의 상대적 빈도수는 산양삼의 생육과 유의적인 정의 상관관계를 보이는 것으로 나타났다. 본 연구 결과는 토양세균군집과 산양삼 생육 간의 상관관계를 구명하는 중요한 자료가 될 것으로 생각되고, 나아가 산양삼 재배 이전에 산양삼의 생육에 유용한 토양세균군집을 확인할 수 있다면 산양삼 재배적지를 선정하는데 도움을 줄 수 있을 것이다. 또한 토양이화학성과 더불어 임상 및 주변식생에 따른 토양세균군집과 산양삼 생육특성에 대한 상관관계 연구를 추가로 수행한다면 보다 명확한 정보를 대한 제공할 수 있을 것으로 사료된다.

• 한국미생물·생명공학회지
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• 제49권2호
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• pp.225-238
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• 2021

옥수수(Zea mays)와 톨페스큐(Festuca arundinacea) 근권 토양을 접종원으로 사용하여 농화배양을 통해 CH₄ 산화컨소시움과 N₂O 환원 컨소시움을 얻었다. Illumina MiSeq 염기서열 분석법으로 접종원과 컨소시움의 세균 군집 특성을 비교하였고, 컨소시움의 CH₄ 산화와 N₂O 환원 활성에 미치는 뿌리삼출물의 영향을 규명하였다. 접종원이 다름에도 불구하고 옥수수와 톨페스큐 유래 CH₄ 산화 컨소시움 사이의 유사성이 높았고, 2종의 N₂O 환원 컨소시움도 서로 유사성이 높았다. 2종의 CH₄ 산화 컨소시움에서 우점도가 높은 metanotrophs는 Methylosarcina, Methylococcus 및 Methylocystis이었다. 2 종의 N₂O 환원 컨소시움에서 대표적인 N₂O 환원 세균은 Cloacibacterium, Azonexus 및 Klebsiella이었다. 옥수수 근권 유래 N₂O 환원 컨소시움의 N₂O 환원 속도는 옥수수 뿌리삼출물 첨가에 의해 1.6배, 톨페스큐 유래 컨소시움의 N₂O 환원 속도는 톨페스큐 뿌리삼출물 첨가에 의해 2.7배 향상되었다. 그러나 CH₄ 산화 컨소시움의 활성은 뿌리삼출물 첨가에 의해 향상되지 않았다. 본 연구의 옥수수 및 톨페스큐 근권 유래 CH₄ 산화 및 N₂O 환원 컨소시움은 유류 오염 정화과정에서 non-CO₂ 온실가스배출을 저감하는데 활용 가능하다.

• 한국가금학회지
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• 제41권4호
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• pp.287-296
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• 2014

조류의 난포 성장은 호르몬의 작용에 따라 크기가 달라져 각각의 단계를 이루며 성장하게 된다. 난의 성숙에 관련된 유전자는 난 단백질 생산과 산란률에 밀접한 관련이 있으며, 이를 유전자 발현 측면에서 심도 있는 고찰이 필요가 있다. 본 연구는 NGS를 이용한 RNA-seq 데이터를 이용하여 유전자의 발현량과 유전자 상호 구조에 대한 분석을 실시하여 난의 발달 과정에 필요한 유전자군을 조사하였다. 본 실험에 사용된 개체는 한국 재래계 흑색계통이 사용되었고, 비교조직은 미성숙란과 성숙란의 RNA를 추출하여 유전자의 발현 양상을 살펴봄으로 난의 성숙에 필요한 유전자의 발현 양상을 보고자 하였다. 실험을 위해 Total RNA를 추출하였고, HiSeq 2000 platform을 사용하여 염기서열을 분석하고, Tuxedo Protocol과 DAVID 프로그램을 통해 유전자의 기능과 상호간의 연관관계를 예측하였다. 탐색된 유전자군은 미성숙란과 성숙란 간에 많은 차이를 보이고 있는 유전자군을 탐색한 결과, 315개의 발현이 다르게 나타나는 것으로 보이고 있으며, GO 분석을 통하여 기능면에서 미성숙란과 성숙란에서 확연히 구분되는 유전자 발현 양상을 확인할 수 있었다. 이들 결과를 통하여 향후 난성숙 과정을 이해하고, 계란 품질 향상을 위한 마커 개발을 기여할 수 있을 것으로 사료된다.

• Journal of Chest Surgery
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• 제53권5호
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• pp.250-257
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• 2020

Background: Lung adenocarcinoma (LUAD) with ground-glass opacity (GGO) can become aggravated, but the reasons for this aggravation are not fully understood. The goal of this study was to analyze the genetic features and causes of progression of GGO LUAD. Methods: LUAD tumor samples and normal tissues were analyzed using an Illumina HiSeq 4000 system. After the tumor mutational burden (TMB) was calculated, the identified mutations were classified as those found only in GGO LUAD, those present only in nonGGO LUAD, and those common to both tissue types. Ten high-frequency genes were selected from each domain, after which protein interaction network analysis was conducted. Results: Overall, 227 mutations in GGO LUAD, 212 in non-GGO LUAD, and 48 that were common to both tumor types were found. The TMB was 8.8 in GGO and 7.8 in non-GGO samples. In GGO LUAD, mutations of FCGBP and SFTPA1 were identified. FOXQ1, IRF5, and MAGEC1 mutations were common to both types, and CDC27 and NOTCH4 mutations were identified in the non-GGO LUAD. Protein interaction network analysis indicated that IRF5 (common to both tissue types) and CDC27 (found in the non-GGO LUAD) had significant biological functions related to the cell cycle and proliferation. Conclusion: In conclusion, GGO LUAD exhibited a higher TMB than non-GGO LUAD. No clinically meaningful mutations were found to be specific to GGO LUAD, but mutations involved in the epithelial-mesenchymal transition or cell cycle were found in both tumor types and in non-GGO tissue alone. These findings could explain the non-invasiveness of GGO-type LUAD.

• Asian-Australasian Journal of Animal Sciences
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• 제33권6호
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• pp.1042-1055
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• 2020

Objective: The ecosystem of an animal farm is composed of various elements, such as animals, farmers, plants, feed, soil, and microorganisms. A domesticated animal's health is largely connected with the reservoir of bacteria and viruses in animal farms. Although a few studies have focused on exploring the gut microbiome of animals, communities of microbiota and viruses in feedlots have not been thoroughly investigated. Methods: Here, we collected feces and dust samples (4 groups: cattle feces, C_F; horse feces, H_F; cattle dust, C_D; and horse dust, H_D) from cattle and horse farms sharing the same housing and investigated their microbiome/virome communities by Illumina sequencing. Results: Dust groups (C_D and H_D) showed higher microbial diversity than feces groups (C_F and H_F) regardless of animal species. From the microbial community analysis, all the samples from the four groups have major phyla such as Proteobacteria (min 37.1% to max 42.8%), Firmicutes (19.1% to 24.9%), Bacteroidetes (10.6% to 22.1%), and Actinobacteria (6.1% to 20.5%). The abundance of Streptococcus, which commonly recognized as equine pathogens, was significantly higher in the horse group (H_D and H_F). Over 99% among the classified virome reads were classified as Caudovirales, a group of tailed bacteriophages, in all four groups. Foot-and-mouth disease virus and equine adenovirus, which cause deadly diseases in cattle and horse, respectively, were not detected. Conclusion: Our results will provide baseline information to understand different gut and environmental microbial ecology between two livestock species.