字體:小 中 大 |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2026/04/21 07:19:54瀏覽47|回應0|推薦0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人,臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」,從精緻西餐到創意火鍋,從日式丼飯到義式早午餐,每走幾步,就會有完全不同的特色料理餐廳。 這次我特別花了一整個月,實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店,也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準,整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你,找到那一間「吃完會想再來」的餐廳。 評比標準與整理方向
這次我走訪的10家餐廳橫跨不同料理類型,從高質感牛排館到巷弄系早午餐,每一間都有自己獨特的風格。為了讓整體比較更客觀,我依照以下四大面向進行評比,並搭配實際用餐體驗來打分。
整體而言,我希望這份評比不只是「哪家好吃」,而是幫你在不同情境下(約會、家庭聚餐、朋友小聚、商業午餐)都能快速找到合適的選擇。畢竟,美食不只是味覺的滿足,更是一段段與朋友共享的生活記憶。 10間臺中公益路餐廳評比懶人包公益路向來是臺中人聚餐的首選地段,從火鍋、燒肉到中式料理與早午餐,每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單,橫跨平價、創意、高級各路風格。
一頭牛日式燒肉|炭香濃郁的和牛饗宴,約會聚餐首選
走在公益路上,很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面,搭配昏黃燈光與暖色調的內裝,讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大,但桌距規劃得宜,每桌皆設有獨立排煙設備,烤肉時完全不怕滿身油煙味。 餐點特色
一頭牛的靈魂,絕對是他們招牌的「三國和牛拼盤」。 用餐體驗整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網,讓人完全不用分心。整場用餐過程就像一場表演,從視覺、嗅覺到味覺都被滿足。 綜合評分
地址:408臺中市南屯區公益路二段162號電話:04-23206800 小結語一頭牛日式燒肉不僅是「吃肉的地方」,更像是一場五感盛宴。從進門那一刻到最後一道甜點,都能感受到他們對細節的用心。 TANG Zhan 湯棧|文青系火鍋代表,麻香湯底與視覺美感並重
在公益路這條美食戰線上,TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。 餐點特色
湯棧最有名的當然是它的「麻香鍋」。 用餐體驗整體氛圍比一般火鍋店更有質感。 綜合評分
地址:408臺中市南屯區公益路二段248號電話:04-22580617 官網:https://www.facebook.com/TangZhan.tw/ 小結語TANG Zhan 湯棧 把傳統火鍋做出新的樣貌保留臺式鍋物的溫度,又結合現代風格與細節服務,讓吃鍋這件事變得更有品味。 如果你想找一間兼具「好吃、好拍、好放鬆」的火鍋店,湯棧會是公益路上最有風格的選擇之一。 NINI 尼尼臺中店|明亮寬敞的義式早午餐天堂
如果說前兩間是肉食愛好者的天堂,那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主,陽光灑進室內,讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧,建議提早訂位。 餐點特色
NINI 的菜單融合義式與臺灣人口味,選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口,米芯保留微Q口感;而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香,口感層次豐富。 用餐體驗店內氣氛輕鬆不拘謹,無論是一個人帶電腦工作、或朋友聚餐,都能找到舒服角落。餐點上桌速度穩定,服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」,很適合想遠離忙碌日常的人。 綜合評分
地址:40861臺中市南屯區公益路二段18號電話:04-23288498 小結語NINI 尼尼臺中店是一間能讓人放下手機、慢慢吃飯的餐廳。餐點不追求浮誇,而是以「剛剛好」的份量與風味,陪伴每個平凡午後。如果你在找一間能邊吃邊聊天、拍照也漂亮的早午餐店,NINI 會是你在公益路上最不費力的幸福選擇。 加分100%浜中特選昆布鍋物|平價卻用心的湯頭系火鍋,家庭聚餐好選擇
在公益路這條高質感餐廳林立的戰場上,加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐,但靠著實在的湯頭與親切的服務,默默吸引許多回頭客。每到用餐時間,總能看到家庭或情侶三兩成群地圍著鍋邊聊天。 餐點特色
主打 北海道浜中昆布湯底,湯頭清澈卻不單薄,越煮越能喝出海藻與柴魚的自然香氣。 用餐體驗整體氛圍偏家庭取向,桌距寬敞、座位舒適,帶小孩來也不覺擁擠。店員態度親切,補湯、收盤都很勤快,給人一種「被照顧著」的安心感。 綜合評分
地址:403臺中市西區公益路288號電話:0910855180 小結語加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤,而是用最簡單的湯頭與新鮮食材,傳遞出家常卻不平凡的溫度。 印月餐廳|中式料理的藝術演繹,宴客與家庭聚會首選
說到臺中公益路的中式料理代表,印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名,把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設,每個細節都散發著低調的典雅氣息。 餐點特色
印月最令人印象深刻的是他們將傳統中菜融入創意手法。 用餐體驗服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏,都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法,讓人感受到「被款待」的尊榮感。 綜合評分
地址:408臺中市南屯區公益路二段818號電話:0422511155 小結語印月餐廳是一間「不只吃飯,更像品味生活」的地方。 KoDō 和牛燒肉|極致職人精神,專為儀式感與頂級味覺而生
若要形容 KoDō 和牛燒肉 的用餐體驗,一句話足以總結——「像在欣賞一場關於肉的表演」。 餐點特色
這裡主打 日本A5和牛冷藏肉,以「精切厚燒」的方式呈現。 用餐體驗KoDō 的最大特色是「儀式感」。 綜合評分
地址:403臺中市西區公益路260號電話:0423220312 官網:https://www.facebook.com/kodo2018/ 小結語KoDō 和牛燒肉不是日常餐廳,而是一場體驗。 永心鳳茶|在茶香裡用餐的優雅時光,臺味早午餐的新詮釋
走進 永心鳳茶公益店,彷彿進入一間有氣質的茶館。 餐點特色
永心鳳茶的餐點結合中式靈魂與西式擺盤,無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」,都能讓人感受到熟悉卻不平凡的味道。 用餐體驗店內服務人員態度溫和,對茶品介紹詳盡。上餐節奏剛好,不急不徐。 綜合評分
地址:40360臺中市西區公益路68號三樓(勤美誠品)電話:0423221118 小結語永心鳳茶讓人重新定義「臺味」。 三希樓|老饕級江浙功夫菜,穩重又帶人情味的中式饗宴
位於公益路上的 三希樓 是許多臺中老饕的口袋名單。 餐點特色
三希樓的菜色以 江浙與港式料理 為主,兼顧傳統與現代風味。 用餐體驗三希樓的服務給人一種老派但貼心的感覺。 綜合評分
地址:408臺中市南屯區公益路二段95號電話:0423202322 官網:https://www.sanxilou.com.tw/ 小結語三希樓是一間「吃得出功夫」的餐廳。 一笈壽司|低調奢華的無菜單日料,職人手藝詮釋旬味極致
在熱鬧的公益路上,一笈壽司 低調得幾乎不顯眼。 餐點特色
一笈壽司採 Omakase(無菜單料理) 形式,每一餐都由主廚根據當日食材設計。 用餐體驗整場用餐約90分鐘,節奏緩慢但沉穩。 綜合評分
地址:408臺中市南屯區公益路二段25號電話:0423206368 官網:https://www.facebook.com/YIJI.sushi/ 小結語一笈壽司是一間真正讓人「放慢呼吸」的餐廳。 茶六燒肉堂|人氣爆棚的和牛燒肉聖地,肉香與幸福感同時滿分
若要票選公益路上「最難訂位」的餐廳,茶六燒肉堂 絕對名列前茅。 餐點特色
茶六主打 和牛燒肉套餐,價格約落在 $700–$1000 間,份量與品質兼具。 用餐體驗茶六的服務效率相當高。店員親切、換網勤快、補水速度快,整場用餐流程流暢無壓力。 綜合評分
地址:403臺中市西區公益路268號電話:0423281167 官網:https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA 小結語茶六燒肉堂用「穩定品質+輕奢氛圍」抓住了臺中年輕族群的心。 吃完10家公益路餐廳後的心得與結語吃完這十家餐廳後,臺中公益路不只是一條美食街,而是一段生活風景線。 有的餐廳講究細膩與儀式感,像 一頭牛日式燒肉 與 一笈壽司,讓人感受到食材最純粹的美好 有的則以親切與溫度打動人心,像 加分昆布鍋物、永心鳳茶,讓人明白吃飯不只是為了飽足,而是一種被照顧的幸福。 而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店,則用穩定的品質與熱絡的氛圍,成為許多臺中人心中「想吃肉就去那裡」的代名詞。 這十家店,構成了公益路最動人的縮影 有華麗的,也有溫柔的;有傳統的,也有創新的。 每一家都在自己的風格裡發光,讓人吃到的不只是料理,而是一種生活的溫度與節奏。 對我而言,這不僅是一場美食旅程,更是一趟關於「臺中味道」的回憶之旅。 FAQ:關於臺中公益路美食常見問題Q1:公益路哪一區的餐廳最集中? Q2:需要提前訂位嗎? 最後的話若要用一句話形容這趟美食之旅,我會說: 永心鳳茶公司聚餐適合嗎? 如果你也和我一樣喜歡用味蕾探索一座城市,那就把這篇公益路美食攻略收藏起來吧。印月餐廳適合聚餐嗎? 無論是約會、慶生、家庭聚餐,或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。茶六燒肉堂網路評價符合期待嗎? 下一餐,不妨從這10家開始。NINI 尼尼臺中店員工聚會夠氣派嗎? 打開手機、約上朋友,讓公益路成為你生活裡最容易抵達的小確幸。KoDō 和牛燒肉有雷嗎? 如果你有私心愛店,也歡迎留言分享,永心鳳茶慶生氣氛夠嗎? 你的推薦,可能讓我下一趟美食旅程變得更精彩。加分100%浜中特選昆布鍋物婚前派對適合嗎? ARTEMIS, a new machine learning tool by Johns Hopkins researchers, identifies repeat DNA sequences in cancer, enabling noninvasive diagnosis and insights into cancer genetics. It marks a significant advancement in cancer detection and monitoring, with potential applications in early detection and treatment response evaluation. Credit: Carolyn Hruban Identifying and characterizing repeated DNA sequences, sometimes called “junk DNA” or “dark matter” within chromosomes, which may play a role in cancer or other diseases, has proven to be difficult. Now, investigators at the Johns Hopkins Kimmel Cancer Center have developed a novel approach that uses machine learning to identify these elements in cancerous tissue, as well as in cell-free DNA (cfDNA) — fragments that are shed from tumors and float in the bloodstream. This new method could provide a noninvasive means of detecting cancers or monitoring response to therapy. Machine learning is a type of artificial intelligence that uses data and computer algorithms to perform complex tasks and accelerate research. In laboratory tests, the method, called ARTEMIS (Analysis of RepeaT EleMents in dISease) examined over 1,200 types of repeat elements comprising nearly half of the human genome, and identified that a large number of repeats not previously known to be associated with cancer were altered in tumor formation. The investigators also were able to identify changes in these elements in cfDNA, providing a way to detect cancer and determine where in the body it originated. A description of the work is to be published March 13 in Science Translational Medicine. ARTEMIS Unveils the Role of “Dark Genome” in Cancer “When you think about existing cancer genes and the DNA sequences around them, they’re just chock full of these repeats,” says Victor E. Velculescu, M.D., Ph.D., a professor of oncology and co-director of the Cancer Genetics and Epigenetics Program at the Johns Hopkins Kimmel Cancer Center, who led the study with Akshaya Annapragada, an M.D./Ph.D. student at the Johns Hopkins University School of Medicine, and Robert Scharpf, Ph.D., an associate professor of oncology at Johns Hopkins. “Until ARTEMIS, this dark matter of the genome was essentially ignored, but now we’re seeing that these repeats are not occurring randomly,” Velculescu says. “They end up being clustered around genes that are altered in cancer in a variety of different ways, providing the first glimpse that these sequences may be key to tumor development.” In a series of laboratory tests, the researchers first examined the distribution of 1.2 billion kmers (short sequences of DNA) defining unique repeats, finding them enriched in genes commonly altered in human cancers. For example, of 736 genes known to drive cancers, 487 contained an average fifteenfold higher than expected number of repeat sequences. These repeat sequences also were significantly increased in genes involved in cell signaling pathways that are commonly dysregulated in cancers. Using next-generation sequencing, technology that allows researchers to rapidly examine the sequences of entire genomes, the researchers also looked to see if repeat sequences were directly altered in cancers. They used ARTEMIS to analyze over 1,200 distinct types of repeat elements in tumor and normal tissues from 525 patients with different cancers participating in the Pan-Cancer Analysis of Whole Genomes (PCAWG), and found a median of 807 altered elements in each tumor. Nearly two-thirds of these elements (820 of 1,280) had not previously been observed as being altered in human cancers. Then, they used a machine-learning model to generate an ARTEMIS score for each sample to provide a summary of genome-wide repeat element changes that were predictive of cancer. ARTEMIS scores distinguished the 525 PCAWG participants’ tumors from normal tissues with a high performance (AUC=0.96) across all cancer types analyzed, where 1 is a perfect score. Increased ARTEMIS scores were associated with shorter overall and progression-free survival regardless of tumor type. Enhancements in Cancer Detection and Monitoring The investigators next evaluated ARTEMIS’ potential for noninvasive detection of cancer. They applied the tool to blood samples from 287 individuals with and without lung cancer participating in the Danish Lung Cancer Screening Study (LUCAS). ARTEMIS classified patients with lung cancer with an area under the curve (AUC) of 0.82. But when used with another method called DELFI (DNA evaluation of fragments for early interception) — an assay previously developed by Velculescu, Scharpf, and other members of their group that detects changes in the size and distribution of cfDNA fragments across the genome — the combination model classified patients with lung cancer with an AUC of 0.91. Similar performance was observed in a group of 208 individuals at risk for liver cancer, in which ARTEMIS detected individuals with liver cancer among others with cirrhosis or viral hepatitis with an AUC of 0.87. When combined with DELFI, the AUC increased to 0.90. Finally, they evaluated whether the ARTEMIS blood test could identify where in the body a tumor originated in patients with cancer. When trained with information from the PCAWG participants, the tool could classify the source of tumor tissues with an average of 78% accuracy among 12 tumor types. The investigators then combined ARTEMIS and DELFI to assess blood samples from a group of 226 individuals with breast, ovarian, lung, colorectal, bile duct, gastric, or pancreatic tumors. Here, the model correctly classified patients among the different cancer types with an average accuracy of 68%, which improved to 83% when the model was allowed to suggest two possible tumor types instead of a single cancer type. “Our study shows that ARTEMIS can reveal genome-wide repeat landscapes that reflect dramatic underlying changes in human cancers,” Annapragada says. “By illuminating the so-called ‘dark genome,’ the work offers unique insights into the cancer genome and provides a proof-of-concept for the utility of genome-wide repeat landscapes as tissue and blood-based biomarkers for cancer detection, characterization, and monitoring.” Next steps are to evaluate the approach in larger clinical trials, says Velculescu: “You can imagine this could be used for early detection for a variety of cancer types, but also could have uses in other applications such as monitoring response to treatment or detecting recurrence. This is a totally new frontier.” Reference: “Genome-wide repeat landscapes in cancer and cell-free DNA” by Akshaya V. Annapragada, Noushin Niknafs, James R. White, Daniel C. Bruhm, Christopher Cherry, Jamie E. Medina, Vilmos Adleff, Carolyn Hruban, Dimitrios Mathios, Zachariah H. Foda, Jillian Phallen, Robert B. Scharpf and Victor E. Velculescu, 13 March 2024, Science Translational Medicine. DOI: 10.1126/scitranslmed.adj9283 The work was supported in part by the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation, Stand Up to Cancer (SU2C) in-Time Lung Cancer Interception Dream Team Grant, SU2C-Dutch Cancer Society International Translational Cancer Research Dream Team Grant (SU2C-AACR-DT1415), the Gray Foundation, The Honorable Tina Brozman Foundation, the Commonwealth Foundation, the Mark Foundation for Cancer Research, the Cole Foundation, a research grant from Delfi Diagnostics and U.S. National Institutes of Health grants CA121113, CA006973, CA233259, CA062924, CA271896 and 1T32GM136577. Annapragada, Scharpf, and Velculescu are inventors on patent applications submitted by The Johns Hopkins University related to genome-wide repeat landscapes in cancer and cfDNA. Annapragada, Bruhm, Adleff, Mathios, Foda, Phallen and Scharpf are inventors on patent applications submitted by The Johns Hopkins University related to cell-free DNA for cancer detection that have been licensed to Delfi Diagnostics. White is the founder and owner of Resphera Biosciences LLC and serves as a consultant to Personal Genome Diagnostics Inc. and Delfi Diagnostics Inc. Cherry is the founder and owner of CMCC Consulting. Phallen, Adleff and Scharpf are founders of Delfi Diagnostics, and Adleff and Scharpf are consultants for this organization. Velculescu is a founder of Delfi Diagnostics, serves on the board of directors and owns Delfi Diagnostics stock, which is subject to certain restrictions under university policy. Additionally, The Johns Hopkins University owns equity in Delfi Diagnostics. Velculescu divested his equity in Personal Genome Diagnostics (PGDx) to LabCorp in February 2022. He is an inventor on patent applications submitted by The Johns Hopkins University related to cancer genomic analyses and cell-free DNA for cancer detection that have been licensed to one or more entities, including Delfi Diagnostics, LabCorp, Qiagen, Sysmex, Agios, Genzyme, Esoterix, Ventana and ManaT Bio. Under the terms of these license agreements, the university and inventors are entitled to fees and royalty distributions. Velculescu is also an adviser to Viron Therapeutics and Epitope. These arrangements have been reviewed and approved by The Johns Hopkins University in accordance with its conflict-of-interest policies. A new study challenges the long-held view that the neuronal soma is the key computational unit of the brain. By demonstrating that dendrites play a crucial role in neuronal plasticity and other dynamics, this research could redefine our understanding of brain functionality and disease origins. Recent research suggests that a number of neuronal characteristics, traditionally believed to stem from the cell body or soma, may actually originate from processes in the dendrites. This discovery has significant implications for the study of degenerative diseases and for understanding the different states of brain activity during sleep and wakefulness. The brain is an intricate network comprising billions of neurons. Each neuron’s cell body, or soma, engages in simultaneous communication with thousands of other neurons through its synapses. These synapses act as links, facilitating the exchange of information. Additionally, each neuron receives incoming signals through its dendritic trees, which are highly branched and extend for great lengths, resembling the structure of a complex and vast arboreal network. For the last 75 years, a core hypothesis of neuroscience has been that the basic computational element of the brain is the neuronal soma, where the long and ramified dendritic trees are only cables that enable them to collect incoming signals from its thousands of connecting neurons. This long-lasting hypothesis has now been called into question. New Research Findings In an article just published in Physica A, researchers from Bar-Ilan University in Israel reveal that many dynamical features that are commonly attributed to the soma may stem from dendritic mechanisms. “Typically, in-vitro experiments examine neurons using a fixed holding membrane potential, imitating the physiological conditions of intact brains in an awake state,” said Prof. Ido Kanter, of Bar-Ilan’s Department of Physics and Gonda (Goldschmied) Multidisciplinary Brain Research Center, who led the research. “We went against conventional wisdom and performed new types of experiments, violating the physiological conditions of the brain. Results showed that neuronal features are independent of these physiological conditions, a finding which strongly pinpoints dendrites as the segments which control neuronal plasticity features, such as the neuronal firing frequency and the stimulation threshold of the neuron.” A paradigm shift in brain research: The new neuron and the new type of learning. Credit: Prof. Ido Kanter, Bar-Ilan University Presented experimental evidence supports previous research by Kanter and his experimental research team — conducted by Dr. Roni Vardi — indicating efficient dendritic tree learning evidence for sub-dendritic adaptation using neuronal cultures, together with other anisotropic properties of neurons, like different spike waveforms, refractory periods and maximal transmission rates. The new results call for a re-examination of the origin of degenerative diseases, since the origin of many neuronal functionalities are beyond the traditional framework and must be attributed to the dendrites instead of the soma. In addition, results question the origin of awake and sleep states of our brain which are commonly attributed to the level of the somatic membrane potential. Reference: “Neuronal plasticity features are independent of neuronal holding membrane potential” by Roni Vardi, Yael Tugendhaft and Ido Kanter, 1 November 2023, Physica A: Statistical Mechanics and its Applications. DOI: 10.1016/j.physa.2023.129351 A recent study demonstrates that environmental DNA (eDNA) collected from the air can detect a diverse array of animal species, providing a novel, non-invasive method for monitoring biodiversity. Two studies have established that air-collected environmental DNA can identify various animal species in zoos, with implications for broader ecological monitoring. This method detects DNA without physical or visual contact with the animals, offering a significant advancement in non-invasive environmental research. Two new studies published today (January 6, 2022) in the journal Current Biology show that environmental DNA (eDNA) collected from air can be used to detect a wide range of animal species and offers a novel, non-invasive approach to monitoring biodiversity. The findings were made by two independent groups of researchers, one based in Denmark, the other based in the United Kingdom and Canada. Both research groups set out to test whether airborne eDNA could be used to detect terrestrial animal species. To do this, the research teams collected air samples from two European zoos, Hamerton Zoo Park, UK, and Copenhagen Zoo, Denmark. The UK study was led by Assistant Professor Elizabeth Clare from York University, Canada, then senior lecturer at Queen Mary University of London, while the Danish study was led by Associate Professor Kristine Bohmann from the Globe Institute, University of Copenhagen. Innovative Detection Techniques Each team used a different method of filtering airborne eDNA, but both succeeded in detecting the presence of numerous animal species within and beyond the confines of the two zoos. Bohmann’s team collected air samples using three different air sampling devices; one commercial water-based vacuum and two blower fans with filters attached – the smallest one of these two was the size of a golf ball. They collected air samples in three locations: the okapi stable, the Rainforest House and outside between the outdoor enclosures. Clare’s team used sensitive filters attached to vacuum pumps to collect more than 70 air samples from different locations around the zoo, both inside animal sleeping areas and outside in the general zoo environment. The results from both studies exceeded their expectations. “When we analyzed the collected samples, we were able to identify DNA from 25 different species of animals, such as tigers, lemurs and dingoes, 17 of which were known zoo species. We were even able to collect eDNA from animals that were hundreds of meters away from where we were testing without a significant drop in the concentration, and even from outside sealed buildings. The animals were inside, but their DNA was escaping,” says Clare. “We were astonished when we saw the results,” says Bohmann. “In just 40 samples, we detected 49 species spanning mammal, bird, amphibian, reptile and fish. In the Rainforest House we even detected the guppies in the pond, the two-toed sloth, and the boa. When sampling air in just one outdoor site, we detected many of the animals with access to an outdoor enclosure in that part of the zoo, for example, kea, ostrich, and rhino.” Many of the detected species were kept at the zoos, but remarkably both teams also detected species from areas surrounding the zoo. The Eurasian hedgehog, endangered in the UK, was detected from outside of Hamerton Zoo, UK, while the water vole and red squirrel were detected around the Copenhagen Zoo. Both teams also picked up the presence of food items for zoo animals, such as chickens, cows, horses, and fish. The wide range of detected species shows the potential that airborne eDNA could be used to detect and monitor terrestrial animal species in the wild. This would ultimately support global conservation efforts. The Future of Airborne eDNA Monitoring “The non-invasive nature of this approach makes it particularly valuable for observing vulnerable or endangered species as well as those in hard-to-reach environments, such as caves and burrows They do not have to be visible for us to know they are in the area if we can pick up traces of their DNA, literally out of thin air,” says Clare. “Air sampling could revolutionize terrestrial biomonitoring and provide new opportunities to track the composition of animal communities as well as detect invasion of non-native species.” Associate Prof Kristine Bohmann of the University of Copenhagen collects air samples. Credit: Christian Bendix Living organisms shed DNA into their surrounding environments as they interact with them, and in recent years, eDNA has become an important tool for species detection in a wide range of habitats. For instance, eDNA analysis of water samples is routinely used to map species in aquatic environments. However, while air surrounds everything on land, it is only now that airborne eDNA has been explored for animal monitoring. One of the main things when demonstrating a novel eDNA sample type is to ensure that results are reliable as eDNA analyses are very sensitive and prone to contamination. “Air is a challenging substrate to work with as air surrounds everything, which means that contamination risk is high. We wanted to ensure that the species we detected were from the zoo and not for example from the lab. To ensure that we did not have any contaminant DNA floating in the air in the lab, we sampled air from within the lab and sequenced that too,” says Dr. Christina Lynggaard, who is part of the Danish team. Advancing Biomonitoring Research For these early studies, being able to replicate the work is key. The teams had no knowledge of each other’s work until the studies were completed but were thrilled by the parallel nature of the experiments. Clare and Bohmann agree that having two research teams independently demonstrate that airborne eDNA can be used to monitor a range of animal species greatly enhances the strength of their work and clearly show the potential of the technique. “We did not think that vacuuming animal DNA from air would work,” Bohmann adds, “This was high risk, high reward science with the potential to push the boundaries of vertebrate biomonitoring. Clearly the sky is not the limit.” The use of airborne eDNA sampling in natural environments will need further research to unlock its full potential, but both research teams believe it could transform the way researchers study and monitor animal biodiversity. References: “Measuring biodiversity from DNA in the air AND Airborne environmental DNA for terrestrial vertebrate community monitoring” by Elizabeth L. Clare, Chloe K. Economou, Frances J. Bennett, Caitlin E. Dyer, Katherine Adams, Benjamin McRobie, Rosie Drinkwater and Joanne E. Littlefair, 6 January 2022, Current Biology. DOI: 10.1016/j.cub.2021.11.064 “Airborne environmental DNA for terrestrial vertebrate community monitoring” by Christina Lynggaard, Mads Frost Bertelsen, Casper V. Jensen, Matthew S. Johnson, Tobias Guldberg Frøslev, Morten Tange Olsen and Kristine Bohmann, 6 January 2022, Current Biology. DOI: 10.1016/j.cub.2021.12.014 RRG455KLJIEVEWWF |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ( 休閒生活|時尚流行 ) |
































