91 research outputs found

    DGI: Easy and Efficient Inference for GNNs

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    While many systems have been developed to train Graph Neural Networks (GNNs), efficient model inference and evaluation remain to be addressed. For instance, using the widely adopted node-wise approach, model evaluation can account for up to 94% of the time in the end-to-end training process due to neighbor explosion, which means that a node accesses its multi-hop neighbors. On the other hand, layer-wise inference avoids the neighbor explosion problem by conducting inference layer by layer such that the nodes only need their one-hop neighbors in each layer. However, implementing layer-wise inference requires substantial engineering efforts because users need to manually decompose a GNN model into layers for computation and split workload into batches to fit into device memory. In this paper, we develop Deep Graph Inference (DGI) -- a system for easy and efficient GNN model inference, which automatically translates the training code of a GNN model for layer-wise execution. DGI is general for various GNN models and different kinds of inference requests, and supports out-of-core execution on large graphs that cannot fit in CPU memory. Experimental results show that DGI consistently outperforms layer-wise inference across different datasets and hardware settings, and the speedup can be over 1,000x.Comment: 10 pages, 10 figure

    Mixture of tree species enhances stability of soil bacterial community through phylogenetic diversity

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    The composition of tree species might influence microbial diversity considerably, yet investigation of the consequences of changes in diversity on stability of the microbial community is still in its early stages. Understanding how diversity governs community stability is vital for predicting the response of an ecosystem to environmental changes. Phylogenetic diversity (PD) describes the distinct evolution of species in a community, and might be useful for estimating the effects of biodiversity on ecosystem function and stability. Highโ€throughput 16S rRNA gene sequencing was used to examine soil bacterial phylogenetic distances, phylogenetic diversity and interactions between individuals in five singleโ€species plantations and three mixedโ€species plantations. The plantations were established on the same initial substrate, and sampling was at 68 relatively spatially independent sites. Our results showed that mixed tree species enhanced soil bacterial phylogenetic diversity and community stability, and that phylogenetic diversity had a positive effect on stability of the soil microbial community. We also found evidence that microbial communities characterized by distantly related species with weak interactions were more stable in mixed plantations than communities with strong interactions in singleโ€species plantations. These results may be explained by the โ€˜insurance hypothesisโ€™, that large phylogenetic diversity of microbial communities which share different ecological niches insures them against decline in their stability. This is because, even if some microbial species fail to deal with environmental change, others might not necessarily be affected similarly. Our findings demonstrate that phylogenetic diversity is the main controlling factor of the variation in stability across sites and requires more attention in sustainable forest management

    DDX60 Is Associated With Glioma Malignancy and Serves as a Potential Immunotherapy Biomarker

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    DDX60, an interferon (IFN)-inducible gene, plays a promotional role in many tumors. However, its function in glioma remains unknown. In this study, bioinformatic analysis (TCGA, CGGA, Rembrandt) illustrated the upregulation and prognostic value of DDX60 in gliomas. Immunohistochemical staining of clinical samples (n = 49) validated the DDX60 expression is higher in gliomas than in normal tissue (n = 20, P < 0.0001). It also could be included in nomogram as a parameter to predict the 3- and 5-year survival risk (C-index = 0.86). The biological process of DDX60 in glioma was mainly enriched in the inflammatory and immune response by GSEA and GO analysis. DDX60 expression had a positive association with most inflammatory-related functions, such as hematopoietic cell kinase (HCK) (R = 0.31), interferon (R = 0.72), STAT1 (R = 54), and a negative correlation with IgG (R = โˆ’0.24). Furthermore, DDX60 expression tends to be positively related to multiple infiltrating immune cells, while negatively related to CD56 dim nature killer cell in glioma. Some important immune checkpoints, like CTLA-4, PD-L1, EGF, CD96, and CD226, were all positively related with DDX60 (all Pearson correlation R > 0.26). The expression and correlation between DDX60, EGF, and PD-L1 were confirmed by western blot in clinical samples (n = 14, P < 0.0001) and GBM cells. These results indicated that DDX60 might have important clinical significance in glioma and could serve as a potential immune therapeutic target

    Consensus interpretation of the p.Met34Thr and p.Val37Ile variants in GJB2 by the ClinGen Hearing Loss Expert Panel

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    Purpose: Pathogenic variants in GJB2 are the most common cause of autosomal recessive sensorineural hearing loss. The classification of c.101T>C/p.Met34Thr and c.109G>A/p.Val37Ile in GJB2 are controversial. Therefore, an expert consensus is required for the interpretation of these two variants. Methods: The ClinGen Hearing Loss Expert Panel collected published data and shared unpublished information from contributing laboratories and clinics regarding the two variants. Functional, computational, allelic, and segregation data were also obtained. Case-control statistical analyses were performed. Results: The panel reviewed the synthesized information, and classified the p.Met34Thr and p.Val37Ile variants utilizing professional variant interpretation guidelines and professional judgment. We found that p.Met34Thr and p.Val37Ile are significantly overrepresented in hearing loss patients, compared with population controls. Individuals homozygous or compound heterozygous for p.Met34Thr or p.Val37Ile typically manifest mild to moderate hearing loss. Several other types of evidence also support pathogenic roles for these two variants. Conclusion: Resolving controversies in variant classification requires coordinated effort among a panel of international multi-institutional experts to share data, standardize classification guidelines, review evidence, and reach a consensus. We concluded that p.Met34Thr and p.Val37Ile variants in GJB2 are pathogenic for autosomal recessive nonsyndromic hearing loss with variable expressivity and incomplete penetrance

    Clinicopathological Significance and Prognostic Value of DNA Methyltransferase 1, 3a, and 3b Expressions in Sporadic Epithelial Ovarian Cancer

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    Altered DNA methylation of tumor suppressor gene promoters plays a role in human carcinogenesis and DNA methyltransferases (DNMTs) are responsible for it. This study aimed to determine aberrant expression of DNMT1, DNMT3a, and DNMT3b in benign and malignant ovarian tumor tissues for their association with clinicopathological significance and prognostic value. A total of 142 ovarian cancers and 44 benign ovarian tumors were recruited for immunohistochemical analysis of their expression. The data showed that expression of DNMT1, DNMT3a, and DNMT3b was observed in 76 (53.5%), 92 (64.8%) and 79 (55.6%) of 142 cases of ovarian cancer tissues, respectively. Of the serious tumors, DNMT3a protein expression was significantly higher than that in benign tumor samples (Pโ€Š=โ€Š0.001); DNMT3b was marginally significant down regulated in ovarian cancers compared to that of the benign tumors (Pโ€Š=โ€Š0.054); DNMT1 expression has no statistical difference between ovarian cancers and benign tumor tissues (Pโ€Š=โ€Š0.837). Of the mucious tumors, the expression of DNMT3a, DNMT3b, and DNMT1 was not different between malignant and benign tumors. Moreover, DNMT1 expression was associated with DNMT3b expression (Pโ€Š=โ€Š0.020, rโ€Š=โ€Š0.195). DNMT1 expression was associated with age of the patients, menopause status, and tumor localization, while DNMT3a expression was associated with histological types and serum CA125 levels and DNMT3b expression was associated with lymph node metastasis. In addition, patients with DNMT1 or DNMT3b expression had a trend of better survival than those with negative expression. Co-expression of DNMT1 and DNMT3b was significantly associated with better overall survival (Pโ€Š=โ€Š0.014). The data from this study provided the first evidence for differential expression of DNMTs proteins in ovarian cancer tissues and their associations with clinicopathological and survival data in sporadic ovarian cancer patients

    ะ’ะธั…ั€ะตั‚ะพะบะพะฒั‹ะน ะฐะฝะธะทะพั‚ั€ะพะฟะฝั‹ะน ั‚ะตั€ะผะพัะปะตะบั‚ั€ะธั‡ะตัะบะธะน ะฟะตั€ะฒะธั‡ะฝั‹ะน ะฟั€ะตะพะฑั€ะฐะทะพะฒะฐั‚ะตะปัŒ ะปัƒั‡ะธัั‚ะพะณะพ ะฟะพั‚ะพะบะฐ

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    ะŸั€ะตะดัั‚ะฐะฒะปะตะฝะฐ ะพั€ะธะณะธะฝะฐะปัŒะฝะฐั ะบะพะฝัั‚ั€ัƒะบั†ะธั ะฟะตั€ะฒะธั‡ะฝะพะณะพ ะฟั€ะตะพะฑั€ะฐะทะพะฒะฐั‚ะตะปั ะปัƒั‡ะธัั‚ะพะณะพ ะฟะพั‚ะพะบะฐ, ะบะพั‚ะพั€ั‹ะน ะผะพะถะตั‚ ัะปัƒะถะธั‚ัŒ ะพัะฝะพะฒะพะน ะดะปั ัะพะทะดะฐะฝะธั ะฟั€ะธะตะผะฝะธะบะฐ ะฝะตัะตะปะตะบั‚ะธะฒะฝะพะณะพ ะธะทะปัƒั‡ะตะฝะธั ั ะฟะพะฒั‹ัˆะตะฝะฝะพะน ั‡ัƒะฒัั‚ะฒะธั‚ะตะปัŒะฝะพัั‚ัŒัŽ

    Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial

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    Background: Previous cluster-randomized controlled trials evaluating the impact of implementing evidence-based guidelines for nutrition therapy in critical illness do not consistently demonstrate patient benefits. A large-scale, sufficiently powered study is therefore warranted to ascertain the effects of guideline implementation on patient-centered outcomes. Methods: We conducted a multicenter, cluster-randomized, parallel-controlled trial in intensive care units (ICUs) across China. We developed an evidence-based feeding guideline. ICUs randomly allocated to the guideline group formed a local "intervention team", which actively implemented the guideline using standardized educational materials, a graphical feeding protocol, and live online education outreach meetings conducted by members of the study management committee. ICUs assigned to the control group remained unaware of the guideline content. All ICUs enrolled patients who were expected to stay in the ICU longer than seven days. The primary outcome was all-cause mortality within 28 days of enrollment. Results: Forty-eight ICUs were randomized to the guideline group and 49 to the control group. From March 2018 to July 2019, the guideline ICUs enrolled 1399 patients, and the control ICUs enrolled 1373 patients. Implementation of the guideline resulted in significantly earlier EN initiation (1.20 vs. 1.55 mean days to initiation of EN; difference โˆ’ 0.40 [95% CI โˆ’ 0.71 to โˆ’ 0.09]; P = 0.01) and delayed PN initiation (1.29 vs. 0.80 mean days to start of PN; difference 1.06 [95% CI 0.44 to 1.67]; P = 0.001). There was no significant difference in 28-day mortality (14.2% vs. 15.2%; difference โˆ’ 1.6% [95% CI โˆ’ 4.3% to 1.2%]; P = 0.42) between groups. Conclusions: In this large-scale, multicenter trial, active implementation of an evidence-based feeding guideline reduced the time to commencement of EN and overall PN use but did not translate to a reduction in mortality from critical illness. Trial registration: ISRCTN, ISRCTN12233792. Registered November 20th, 2017

    Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial.

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    BackgroundPrevious cluster-randomized controlled trials evaluating the impact of implementing evidence-based guidelines for nutrition therapy in critical illness do not consistently demonstrate patient benefits. A large-scale, sufficiently powered study is therefore warranted to ascertain the effects of guideline implementation on patient-centered outcomes.MethodsWe conducted a multicenter, cluster-randomized, parallel-controlled trial in intensive care units (ICUs) across China. We developed an evidence-based feeding guideline. ICUs randomly allocated to the guideline group formed a local "intervention team", which actively implemented the guideline using standardized educational materials, a graphical feeding protocol, and live online education outreach meetings conducted by members of the study management committee. ICUs assigned to the control group remained unaware of the guideline content. All ICUs enrolled patients who were expected to stay in the ICU longer than seven days. The primary outcome was all-cause mortality within 28ย days of enrollment.ResultsForty-eight ICUs were randomized to the guideline group and 49 to the control group. From March 2018 to July 2019, the guideline ICUs enrolled 1399 patients, and the control ICUs enrolled 1373 patients. Implementation of the guideline resulted in significantly earlier EN initiation (1.20 vs. 1.55 mean days to initiation of EN; difference -โ€‰0.40 [95% CI -โ€‰0.71 to -โ€‰0.09]; Pโ€‰=โ€‰0.01) and delayed PN initiation (1.29 vs. 0.80 mean days to start of PN; difference 1.06 [95% CI 0.44 to 1.67]; Pโ€‰=โ€‰0.001). There was no significant difference in 28-day mortality (14.2% vs. 15.2%; difference -โ€‰1.6% [95% CI -โ€‰4.3% to 1.2%]; Pโ€‰=โ€‰0.42) between groups.ConclusionsIn this large-scale, multicenter trial, active implementation of an evidence-based feeding guideline reduced the time to commencement of EN and overall PN use but did not translate to a reduction in mortality from critical illness.Trial registrationISRCTN, ISRCTN12233792 . Registered November 20th, 2017

    Actively implementing an evidence-based feeding guideline for critically ill patients (NEED): a multicenter, cluster-randomized, controlled trial (vol 26, 46, 2022)

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    BackgroundPrevious cluster-randomized controlled trials evaluating the impact of implementing evidence-based guidelines for nutrition therapy in critical illness do not consistently demonstrate patient benefits. A large-scale, sufficiently powered study is therefore warranted to ascertain the effects of guideline implementation on patient-centered outcomes.MethodsWe conducted a multicenter, cluster-randomized, parallel-controlled trial in intensive care units (ICUs) across China. We developed an evidence-based feeding guideline. ICUs randomly allocated to the guideline group formed a local "intervention team", which actively implemented the guideline using standardized educational materials, a graphical feeding protocol, and live online education outreach meetings conducted by members of the study management committee. ICUs assigned to the control group remained unaware of the guideline content. All ICUs enrolled patients who were expected to stay in the ICU longer than seven days. The primary outcome was all-cause mortality within 28ย days of enrollment.ResultsForty-eight ICUs were randomized to the guideline group and 49 to the control group. From March 2018 to July 2019, the guideline ICUs enrolled 1399 patients, and the control ICUs enrolled 1373 patients. Implementation of the guideline resulted in significantly earlier EN initiation (1.20 vs. 1.55 mean days to initiation of EN; difference -โ€‰0.40 [95% CI -โ€‰0.71 to -โ€‰0.09]; Pโ€‰=โ€‰0.01) and delayed PN initiation (1.29 vs. 0.80 mean days to start of PN; difference 1.06 [95% CI 0.44 to 1.67]; Pโ€‰=โ€‰0.001). There was no significant difference in 28-day mortality (14.2% vs. 15.2%; difference -โ€‰1.6% [95% CI -โ€‰4.3% to 1.2%]; Pโ€‰=โ€‰0.42) between groups.ConclusionsIn this large-scale, multicenter trial, active implementation of an evidence-based feeding guideline reduced the time to commencement of EN and overall PN use but did not translate to a reduction in mortality from critical illness.Trial registrationISRCTN, ISRCTN12233792 . Registered November 20th, 2017

    ์•„์‹œ์•„ ์–‘์„œ๋ฅ˜์™€ ์ „์„ธ๊ณ„์ ์œผ๋กœ ์ƒˆ๋กญ๊ฒŒ ๋ฌธ์ œ์‹œ๋˜๋Š” Chytrid ๊ณฐํŒก์ด์˜ ๊ณต์ง„ํ™”

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ƒ๋ช…๊ณผํ•™๋ถ€, 2019. 2. Waldman, Bruce .์ „์—ผ๋ณ‘์€ ์ƒ๋ฌผ ๋‹ค์–‘์„ฑ, ์„ธ๊ณ„ ๋ณด๊ฑด ๋ฐ ๊ฒฝ์ œ์— ๋Œ€ํ•œ ๊ฑฐ๋Œ€ํ•œ ์œ„ํ˜‘์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์ธ๋ฅ˜์˜ ์ƒˆ๋กœ์šด ์ „์—ผ๋ณ‘์˜ ์•ฝ 60% ๋Š” ์ธ์ฒด ๊ฐ์—ผ ๋™๋ฌผ ๋ณ‘์›์ฒด์—์„œ ์œ ๋ž˜๋˜์—ˆ์œผ๋ฉฐ ์•ฝ 70% ๋Š” ์•ผ์ƒ ๋™๋ฌผ ๋ณ‘์›์†Œ๋ฅผ ๋ณด์œ ํ•˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ์•ผ์ƒ ์ƒ๋ฌผ ์งˆ๋ณ‘ ์—ญํ•™์„ ์—ฐ๊ตฌํ•˜๋Š” ๊ฒƒ์€ ์ „ํŒŒ ํŒจํ„ด๊ณผ ๋ณ‘์›์ฒด์™€ ์ˆ™์ฃผ์˜ ์ƒํ˜ธ ์ž‘์šฉ ์—ญํ•™์„ ์ดํ•ดํ•˜์—ฌ ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์ œ์–ดํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. Chytridiomycosis๋Š” ๊ณฐํŒก์ด ๋ณ‘์›๊ท  ์ธ Batrachochytrium dendrobatidis (Bd)์— ๊ธฐ์ธํ•˜์—ฌ ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์–‘์„œ๋ฅ˜์˜ ๊ฐœ์ฒด์ˆ˜ ๊ฐ์†Œ์™€ ์ข…์˜ ๋ฉธ์ข…๊ณผ ๊ด€๋ จ์ด ์žˆ์ง€๋งŒ ์•„์‹œ์•„์—์„œ๋Š” ๊ทธ๋ ‡์ง€ ์•Š๋‹ค. ์•„์‹œ์•„์—์„œ๋Š” Bd ๋ณ‘์›์ฒด์™€ ์–‘์„œ๋ฅ˜ ์ˆ™์ฃผ๊ฐ€ 100 ๋…„ ์ด์ƒ ๊ณต๋™ ์ง„ํ™”ํ–ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์•„์‹œ์•„ ์–‘์„œ๋ฅ˜ ๊ฐœ์ฒด๊ตฐ์˜ ๊ฐ์—ผ์— ๋Œ€ํ•œ ํšŒ๋ณต๋ ฅ์€ ํ’ํ† ๋ณ‘ Bd ๊ณ„ํ†ต์˜ ๊ฐ์†Œํ•œ ๋ณ‘๋…์„ฑ์ด๋‚˜ ๋ณ‘์›๊ท ์— ๋Œ€ํ•œ ํ–ฅ์ƒ๋œ ๋‚ด์„ฑ ๋˜๋Š” ๋‘˜ ๋ชจ๋‘๋กœ ์ธํ•ด ์ƒ๊ธธ ์ˆ˜ ์žˆ๋‹ค. ํ•œ๊ตญ ์–‘์„œ๋ฅ˜ (Bombina orientalis)์—์„œ ๋ถ„๋ฆฌ ๋œ BdAsia-1์€ ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์–‘์„œ๋ฅ˜ ๊ฐœ์ฒด์ˆ˜ ๊ฐ์†Œ์™€ ๊ด€๋ จ๋œ ์žฌ์กฐํ•ฉ ๊ธ€๋กœ๋ฒŒ ์œ ํ–‰๋ณ‘ ๊ณ„ํ†ต (BdGPL)์˜ ์ง„ํ™”์  ๊ธฐ์ดˆ๊ฐ€ ๋  ๊ฒƒ์œผ๋กœ ์ œ์•ˆ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ BdAsia-1์˜ ๋ณ‘๋…์„ฑ์€ ์—ฌ์ „ํžˆ ๋ช…ํ™•ํ•˜์ง€ ์•Š์•˜๋‹ค. ์ด์ „ ๋…ผ๋ฌธ๋“ค์€ ์•„์‹œ์•„ ์–‘์„œ๋ฅ˜๊ฐ€ ๋” ์ €ํ•ญ๋ ฅ์ด ์žˆ๋‹ค๊ณ  ์ฃผ์žฅํ–ˆ์ง€๋งŒ, ๊ทธ๊ฒƒ์„ ์ฆ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜ํ–‰ ๋œ ๊ฐ์—ผ ์‹คํ—˜์€ ์—†์—ˆ๋‹ค. ์ด ํ”„๋กœ์ ํŠธ์—์„œ ํ•„์ž๋Š” ์˜ค์ŠคํŠธ๋ ˆ์ผ๋ฆฌ์•„์˜ ํ•œ ๊ฐ์ˆ˜์„ฑ ์ข…์ธ Litoria caerulea๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ BdAsia-1๊ณผ BdGPL ๊ฐ„์˜ ๋ณ‘๋…์„ฑ์„ ๋น„๊ต ํ•œ ๋‹ค์Œ ๋‘ Bd lineages์„ ์‚ฌ์šฉํ•˜์—ฌ ํ•œ๊ตญ ์–‘์„œ๋ฅ˜ (Bufo gargarizans, B. orientalis ๋ฐ Hyla japonica)์˜ ๊ฐ์ˆ˜์„ฑ์„ ํ…Œ์ŠคํŠธํ–ˆ๋‹ค. ํ”ผํ—˜์ž๋Š” ๋ชจ๋‘ ๊ฐ์—ผ๋˜์—ˆ์ง€๋งŒ ํ•œ๊ตญ ์–‘์„œ๋ฅ˜๋Š” Bd lineages๊ณผ๋Š” ์ƒ๊ด€์—†์ด ์‹ ์†ํ•˜๊ฒŒ ๊ฐ์—ผ์„ ์น˜์œ ํ•˜์˜€๋‹ค. ํ•œ๊ตญ์˜ ์–‘์„œ๋ฅ˜๋“ค์€ ๋ช…๋ฐฑํ•œ ์ฆ์ƒ ์—†์ด ์ƒ์กดํ–ˆ๋‹ค. ๋Œ€์กฐ์ ์œผ๋กœ, L. caerulea๋Š” BdAsia-1 ๋˜๋Š” BdGPL์— ์˜ํ•œ ๊ฐ์—ผ ํ›„ ์‹ ์ฒด ์ƒํƒœ์˜ ์•…ํ™”๋ฅผ ๊ฒช์—ˆ์œผ๋ฉฐ ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ์ ์ง„์ ์œผ๋กœ ๋” ๋†’์€ Bd ๋ถ€ํ•˜๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ทธ ํ›„, ๋Œ€๋ถ€๋ถ„์˜ ํ”ผํ—˜์ฒด๋Š” ์‚ฌ๋งํ–ˆ๋‹ค. L. caerulea์— ๋Œ€ํ•œ ํšจ๊ณผ๋ฅผ ๋น„๊ตํ•˜๋ฉด, BdAsia-1์€ BdGPL๋ณด๋‹ค ๋” ๋น ๋ฅธ ์งˆ๋ณ‘ ์ง„ํ–‰์„ ์œ ๋„ํ–ˆ๋‹ค. ๊ฒฐ๊ณผ๋Š” BdAsia-1 ํ˜ˆํ†ต์— ์†ํ•˜๋Š” ๋‘ ๊ฐœ์˜ ํ•œ๊ตญ Bd ๊ท ์ฃผ (KBO327 ๋ฐ KBO347)๊ฐ€ ๋ชจ๋‘ L. caerulea์— ๊ณผ๋ฏผ์„ฑ์ด์—ˆ์œผ๋ฉฐ BdGPL์— ๋น„ํ•ด ์•ฝํ•œ ์ฆ์ƒ์ด ์—†์Œ์„ ๋ถ„๋ช…ํ•˜๊ฒŒ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ํ…Œ์ŠคํŠธ ํ•œ ๋ชจ๋“  ํ•œ๊ตญ ์–‘์„œ๋ฅ˜๋Š” Bd ๊ณ„ํ†ต์— ์ €ํ•ญ์„ฑ ๋˜๋Š” ๋‚ด์„ฑ์„ ์ง€๋…”๋‹ค. ๋ณ‘์›์ฒด์˜ ๋ณ‘๋…์„ฑ์€ ํ’ํ† ์„ฑ ์•„์‹œ์•„ ์–‘์„œ๋ฅ˜ ์ˆ™์ฃผ ์ข…์—์„œ ์ ์‘ ๋ฉด์—ญ ๋ฐ˜์‘์— ๋Œ€ํ•œ ๊ฐ•๋ ฅํ•œ ์„ ํƒ์„ ์œ ๋„ํ–ˆ์„์ง€๋„ ๋ชจ๋ฅธ๋‹ค. ์งˆ๋ณ‘์— ๋Œ€ํ•œ ๊ฐ์ˆ˜์„ฑ์€ ์ข…๋‚ด ๋ฐ ์ข…๊ฐ„ ๋‹ค์–‘ํ•˜๋ฉฐ, ์ƒ์† ๊ฐ€๋Šฅํ•œ ๋ฉด์—ญ ์œ ์ „ ํ•™์  ๋ณ€์ด์— ๊ธฐ์ธ ํ•œ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์ฃผ์š” ์กฐ์ง ์ ํ•ฉ์„ฑ ๋ณตํ•ฉ์ฒด (major histocompatibility complex, MHC)๋Š” ์„ ํƒ์  ์งˆ๋ณ‘ ์ €ํ•ญ์„ฑ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์—ฐ๊ตฌํ•˜๊ธฐ์œ„ํ•œ ์šฐ์„  ์ˆœ์œ„ ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ์ด์ „์˜ ์—ฐ๊ตฌ์—์„œ, ์ผ๋ถ€ ๊ฐ์ˆ˜์„ฑ ์ข…์˜ MHC I ๋ฐ MHC II ์œ ์ „์ž๋Š” Bd์— ์˜ํ•œ ์ˆ™์ฃผ ๊ฐ์—ผ์— ์˜ํ•ด ์ƒํ–ฅ ์กฐ์ ˆ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋‚˜ ์ €ํ•ญ์„ฑ ์ข…์€ ์ „์‚ฌ ๋ฐœํ˜„์— ์žˆ์–ด ๋น„๊ตํ•  ๋งŒํ•œ ๋ณ€ํ™”๋ฅผ ๋‚˜ํƒ€๋‚ด์ง€ ์•Š์•˜๋‹ค. Bd ๋‚ด์„ฑ ์ข…์€ MHC-II ํ•ญ์› ๊ฒฐํ•ฉ ํ™ˆ ๋‚ด์—์„œ ๋น„์Šทํ•œ ํฌ์ผ“ ๊ตฌ์กฐ๋ฅผ ๊ณต์œ ํ•œ๋‹ค. ๊ฐ์ˆ˜์„ฑ์ด ์žˆ๋Š” ์ข…๋“ค ์ค‘์—, ์ „์—ผ๋ณ‘์˜ ์ƒ์กด์ž๋“ค์€ ์ด๋Ÿฌํ•œ ํ˜•ํƒœ๋ฅผ ์•”ํ˜ธํ™”ํ•˜๋Š” ๋Œ€๋ฆฝ ์œ ์ „์ž๋ฅผ ๊ฐ€์ง€๊ณ ์žˆ๋‹ค. ๋™ํ˜• ์ ‘ํ•ฉ ์ €ํ•ญ์„ฑ ์œ ์ „์ž๋ฅผ ๊ฐ€์ง„ ๊ฐœ์ฒด๋Š” ๊ฐ•ํ™”๋œ ์ €ํ•ญ์„ฑ์œผ๋กœ ์ธํ•ด ๋ณ‘์›์ฒด์˜ ๋ณ‘๋…์„ฑ์„ ์ด‰์ง„์‹œํ‚ค๋Š” ํ™˜๊ฒฝ ์กฐ๊ฑด์—์„œ ์ด์ต์„ ์–ป๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๋ฐ˜๋ณต์ ์œผ๋กœ ๊ฐ์—ผ๋˜๊ณ  ์ด์–ด์„œ Bd๋ฅผ ์ œ๊ฑฐํ•œ ์‹คํ—˜์ฒด๋Š” ๋ณ‘์›์ฒด์— ๋Œ€ํ•ด ํ›„์ฒœ ๋ฉด์—ญ ๋ฐ˜์‘์„ ์ผ์œผํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. Bd์— ๋Œ€ํ•œ ๋‚ด์„ฑ์„ ๋‚˜ํƒ€๋‚ด๋Š” MHC ๋Œ€๋ฆฝ ํ˜•์งˆ์— ๋Œ€ํ•œ ๊ฐ•ํ•œ ๋ฐฉํ–ฅ์„ฑ๋„ํƒœ๋Š” ๋‹ค๋ฅธ ๋ณ‘์›์ฒด์— ๋ฐ˜์‘ํ•˜๋Š”๋ฐ ํ•„์š”ํ•œ ์œ ์ „์  ๋‹ค์–‘์„ฑ์„ ๊ณ ๊ฐˆ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. Chytridiomycosis์— ๋Œ€ํ•œ ๋‚ด์„ฑ์€ ์ƒํ™œ์‚ฌ ๋น„์šฉ์„ ์ดˆ๋ž˜ํ•˜๋ฉฐ, ์ด์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค.. ๊ทธ๋Ÿฌ๋‚˜ ์ด์ „์˜ ์–‘์„œ๋ฅ˜ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ๋ชจ๋“  MHC genotyping์€ ๋ชจ๋“  ๋Œ€๋ฆฝ ์œ ์ „์ž๋ฅผ ํšจ์œจ์ ์œผ๋กœ ์‹๋ณ„ํ•˜๊ณ  ์‹ ๋ขฐํ•  ๋งŒํ•œ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๋ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ๋Š” ์ „ํ†ต์ ์ธ ๋‹จ์ผ PCR ๊ธฐ๋ฐ˜ ์‹œํ€€์‹ฑ์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ด๊ฒƒ์€ MHC II์™€ Bd ์ €ํ•ญ์„ฑ์˜ ์—ฐ๊ด€์„ฑ์— ๋Œ€ํ•œ ์ด์ „ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์˜ ์‹ ๋ขฐ์„ฑ์„ ํฌ๊ฒŒ ๋–จ์–ดํŠธ๋ ธ๋‹ค. ๋”ฐ๋ผ์„œ, ๋‚˜๋Š” ๊ฐ ์ƒ˜ํ”Œ์— ๋Œ€ํ•ด ๋…๋ฆฝ์ ์œผ๋กœ 3 ๊ฐœ์˜ amplicon์„ ์ฆํญ์‹œํ‚จ ํ›„, L. caerulea ๋ฐ B. gargarizans์˜ MHC II ์œ ์ „์žํ˜•์— ๋Œ€ํ•ด next generation sequencing์„ ์ ์šฉํ•˜์˜€๋‹ค. ๋‘ ์ข… ๋ชจ๋‘์—์„œ ๋งŽ์€ MHC II ๋Œ€๋ฆฝ ์œ ์ „์ž๊ฐ€ ๋™์ • ๋˜์—ˆ๋‹ค. ๊ฐ ๋Œ€๋ฆฝ ์œ ์ „์ž๋Š” ๊ฐœ์ธ ๋ฐ ๊ธฐ๊ด€ ์ˆ˜์ค€์—์„œ ์ฐจ๋“ฑ์ ์ด๊ณ  ์ƒ๋Œ€์ ์ธ ์œ ์ „์ž ๋ฐœํ˜„์„ ๋ณด์˜€๋‹ค. MHC II๋Š” L. caerulea์™€ B. gargarizans์—์„œ ๊ท ํ˜• ์žกํžŒ ์„ ํƒ์„ ํ•˜๊ณ  ์žˆ์—ˆ์ง€๋งŒ MHC II ๋Œ€๋ฆฝ ์œ ์ „์ž์˜ ํŽฉํƒ€์ด๋“œ ๊ฒฐํ•ฉ ๋ถ€์œ„์™€ WuKa ๋ถ€์œ„์˜ ์ผ๋ถ€ ์ฝ”๋ˆ์€ L. caerulea์—์„œ ๊ฐ•ํ•œ ์–‘์„ฑ ์„ ํƒ์„ ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ Wu-Kabat์˜ ๋‹ค์–‘์„ฑ์€ L. caerulea์—์„œ B. gargarizans์˜ ๋‹ค์–‘์„ฑ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜์œผ๋ฉฐ, L. caeurlea์—์„œ ๋” ๋†’์€ ๋‹จ๋ฐฑ์งˆ ๋‹ค์–‘์„ฑ์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๋”์šฑ์ด L. caerulea์—์„œ ์–‘์„ฑ์œผ๋กœ ์„ ๋ณ„ ๋œ PBR๊ณผ WuKa ๋ถ€์œ„์˜ ๋Œ€๋ถ€๋ถ„์€ B. gargarizans์—์„œ ์™„์ „ํžˆ ๋ณด์กด๋˜์–ด Bd ์ €ํ•ญ์„ฑ๊ณผ ๊ด€๋ จ์ด ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, Bd ์ฒ˜๋ฆฌ ๋ฐ ๊ฐ์ˆ˜์„ฑ๊ณผ ๊ด€๋ จํ•˜์—ฌ ์ƒ์ดํ•œ MHC II ๋Œ€๋ฆฝ ์œ ์ „์ž์˜ ๋ช…ํ™•ํ•œ ์œ ์ „์ž ๋ฐœํ˜„ ํŒจํ„ด์€ ๊ด€์ฐฐ๋˜์ง€ ์•Š์•˜๋‹ค. ๋‘ ๊ฐœ์˜ ์ €ํ•ญ์„ฑ L. caerulea ๊ฐœ์ฒด์—์„œ 5 ๊ฐœ์˜ ๊ณ ์œ  ํ•œ MHC II ๋Œ€๋ฆฝ ์œ ์ „์ž๊ฐ€ ๋ฐœ๊ฒฌ๋˜์—ˆ์ง€๋งŒ L. caerulea์˜ ์ €ํ•ญ์„ฑ ํ‘œ๋ณธ ํฌ๊ธฐ๊ฐ€ ์ž‘์•„ ์ €ํ•ญ์„ฑ๊ณผ ๊ด€๋ จํ•˜์—ฌ ์ด ๋Œ€๋ฆฝ ์œ ์ „์ž์˜ ๋ช…ํ™•ํ•œ ํŒจํ„ด์„ ํ™•์ธํ•  ์ˆ˜๋Š” ์—†์—ˆ๋‹ค. ํ›„์†์—ฐ๊ตฌ๊ฐ€ L. caerulea์—์„œ ์–‘์„ฑ์ ์œผ๋กœ ์„ ํƒ๋œ ๋ถ€์œ„์˜ ์—ญํ• ์„ ์ž…์ฆํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜ํ–‰๋˜์–ด์•ผ ํ•œ๋‹ค.Infectious diseases have been known as huge threats to biodiversity, global health and economy. About 60% of human emerging infectious diseases derived from zoonotic pathogens, and among which, about 70% had wild animal reservoirs. Therefore, studying wild life diseases dynamics is vital for understanding propagation patterns and interaction dynamics of pathogens and hosts in order to control them globally. Chytridiomycosis, caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd), has been implicated in population declines and species extinctions of many amphibians around the world, but not in Asia. In Asia, the Bd pathogen and its amphibian hosts have co-evolved over 100 years or more. Thus, resilience of Asian amphibian populations to infection might result from attenuated virulence of endemic Bd lineages, evolved immunity to the pathogen, or both. BdAsia-1, isolated from South Korea amphibians (Bombina orientalis), was suggested to be evolutionarily basal to recombinant global pandemic lineages (BdGPL), which associated with worldwide amphibian population declines. However, the virulence of BdAsia-1 was still not clear. Although previous papers have suggested Asian amphibians were more resistant, there was no infection experiments performed to prove it. In this project, I firstly compared the virulence between BdAsia-1 and BdGPL using a known Australasian susceptible species, Litoria caerulea, then tested susceptibility of three Korean amphibians (Bufo gargarizans, B. orientalis, and Hyla japonica) using both lineages. Subjects became infected in all experimental treatments, but Korean species rapidly cleared themselves of infection, regardless of Bd lineage. Individuals of Asian species survived with no apparent secondary effects. By contrast, L. caerulea, after infection by either BdAsia-1 or BdGPL, suffered deteriorating body condition and carried progressively higher Bd loads over time. Subsequently, most subjects died. Comparing their effects on L. caerulea, BdAsia-1 induced more rapid disease progression on L. caerulea than BdGPL. My results clearly indicated that two Korean Bd isolates (KBO327 and KBO347) belonging to BdAsia-1 lineage were both hypervirulent to L. caerulea, with no sign of attenuation than BdGPL. All Korean amphibians I tested were resistant to or tolerant of both Bd lineages. The pathogens virulence may have driven strong selection for adaptive immune responses in endemic Asian amphibian host species. Susceptibility to the disease varies both within and among species, most likely attributable to inheritable immunogenetic variation. Major histocompatibility complex (MHC) is one of the priorities for investigating the mechanisms of disease resistance selection. In previous research, MHC I and MHC II genes of some susceptible species were shown to be up-regulated following host infection by Bd, but resistant species exhibited no comparable changes in transcriptional expression. Bd-resistant species shared similar pocket conformations within the MHC-II antigen-binding groove. Among susceptible species, survivors of epizootics bear alleles encoding these conformations. Individuals with homozygous resistance alleles appear to benefit by enhanced resistance, especially in environmental conditions that promote pathogen virulence. Subjects that are repeatedly infected and subsequently clear Bd can develop an acquired immune response to the pathogen. Strong directional selection for MHC alleles that encode resistance to Bd may deplete genetic variation necessary to respond to other pathogens. Resistance to chytridiomycosis incurs life-history costs that require further study. However, almost all MHC genotyping in previous amphibian research was based on single PCR derived traditional cloning based sequencing, which has limitations to identify all alleles efficiently and provide reliable results. This greatly reduced the reliability of the former findings- the association of MHC II with Bd resistance. Therefore, I amplified three amplicons independently for each sample, then applied next generation sequencing to genotype MHC II in L. caerulea and B. gargarizans. A number of MHC II alleles were identified in both species. Each allele had differential abundance and relative gene expression in both individual and organ level. MHC II was under balancing selection in both L. caerulea and B. gargarizans, but some codons in peptide binding region and WuKa sites of MHC II alleles were under strong positive selection in L. caerulea. Moreover, Wu-Kabat variability was significantly higher in L. caerulea than that in B. gargarizans, indicating a higher protein variability in L. caeurlea as well. Moreover, most of the positive selected PBR and WuKa sites in L. caerulea were completely conserved in B. gargarizans, suggesting these sites might associate with Bd resistance. However, no clear gene expression pattern of different MHC II alleles was observed regarding to Bd treatment and susceptibilities. Although there were five unique MHC II alleles found in two resistant L. caerulea individuals, I did not observe clear patterns of these alleles relating to resistance owing to limited resistant sample size in L. caerulea. Further studies should be performed to demonstrate the roles of the positively selected sites in L. caerulea.Chapter 1. Introduction 1 Chapter 2. Ancestral Chytrid Pathogen Remains Hypervirulent Following Co-evolution with Amphibian Hosts 15 Abstract. 16 2.1 Introduction 18 2.2 Methods 22 2.2.1 Animal collection and husbandry. 22 2.2.2 Infection expeirment. 25 2.2.3 Bd screening and pathogen loads. 26 2.2.4 Body condition measurements 27 2.2.5 Histology 28 2.2.6 Statistics. 28 2.3 Results 30 2.3.1 BdAsia lineage is lethal to L.caerulea. 30 2.3.2 Pathogen load and histological confirmation in L. caerulea 34 2.3.3 Virulence verification of BdAsia-1 using another BdAsia-1 strain (KBO327) 37 2.3.4 Korean amphibians showed resistance both to BdAsia-1 and BdGPL 39 2.4 Discussion 42 Chapter 3 Major Histocompatibility Complex (MHC) Variation and the Evolution of Resistance to Amphibian Chytridiomycosis. 52 Abstract 53 3.1 Introduction 55 3.2 How does Bd damage hosts 56 3.3 How does Bd infection alter MHC expression 59 3.4 MHC genetic diversity and susceptibility to Bd infection. 63 3.5 Bd-induced immunological memory 67 3.6 MHC resistance alleles incur tradeoffs 69 3.7 Toll-like receptors (TLRs). 71 3.8 Concluding Remarks 72 Chapter 4 Characterization of MHC IIรŸ1 in Bd Susceptible and Resistant Amphibian. 74 Abstract 75 4.1 Introduction 77 4.2 Methods. 80 4.2.1 Samples collection 80 4.2.2 RNA isolation 80 4.2.3 MHC II genotyping by cloning based sequencing 81 4.2.4 MHC II genotyping based on next generation sequencing. 82 4.2.5 Amino acid structure comparison and PBR annotation. 86 4.2.6 Selection tests 86 4.2.7 Phylogenetic trees construction 87 4.2.8 Statistics 88 4.3 Results 89 4.3.1 NGS has distinct advantages in amphibian MHC genotyping 89 4.3.2 L. caerulea smd B. gargarizans have a similar number of alleles per individual as well as copy number variation(CNV) at MHC II รŸ1 89 4.3.3 Differential gene expression patterns of MHC IIรŸ1 between L. caeruela and B. gargarizans 100 4.3.4 MHC IIB is under strong balancing selection in both species, but some sites were under strong positive selection in L. caerulea 106 4.3.5 Phylogenetic analysis 113 4.4 Discussion. 118 Chapter 5. General Conclusion. 126 Bibliography. 131 Abstract in Korean 159 Acknowledgement 163Docto
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