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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 官網:http://www.marihuana.com.tw/yakiniku/index.html 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: 加分100%浜中特選昆布鍋物第一次來要點什麼? 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。印月餐廳適合請客嗎? 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。一笈壽司小孩適合去嗎? 下一餐,不妨從這10家開始。NINI 尼尼臺中店價位會不會太高? 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。TANG Zhan 湯棧座位舒適嗎? 如果你有私心愛店,也歡迎留言分享,茶六燒肉堂商務聚餐適合嗎? 你的推薦,可能讓我下一趟美食旅程變得更精彩。加分100%浜中特選昆布鍋物有生日驚喜或畫盤嗎? Rhinolophus rouxi, which inhabits parts of South Asia, was identified as a likely but undetected betacoronavirus host by the study authors. Credit: Brock and Sherri Fenton Scientists from Georgetown University developed AI models to identify bats that could host viruses dangerous to humans, like betacoronaviruses. Their research, confirmed by tracking 40 new bat hosts, suggests monitoring these species is crucial for preventing future pandemics. AI Predictions on Virus Hosts and Emergence An international research team led by scientists at Georgetown University have demonstrated the power of artificial intelligence to predict which viruses could infect humans — like SARS-CoV-2, the virus that led to the COVID-19 pandemic — which animals host them, and where they could emerge. Their ensemble of predictive models of likely reservoir hosts, published January 10 in Lancet Microbe (“Optimizing predictive models to prioritize viral discovery in zoonotic reservoirs”), was validated in an 18-month project to identify specific bat species likely to carry betacoronaviruses, the group that includes SARS-like viruses. Insights from Bat Ecology and Evolution “If you want to find these viruses, you have to start by profiling their hosts — their ecology, their evolution, even the shape of their wings,” explains the study’s senior author, Colin Carlson, PhD, an assistant research professor in the Department of Microbiology & Immunology and a member of Georgetown’s Center for Global Health Science and Security at Georgetown University Medical Center. “Artificial intelligence lets us take data on bats and turn it into concrete predictions: where should we be looking for the next SARS?” Despite global investments in disease surveillance, it remains difficult to identify and monitor wildlife reservoirs of viruses that could someday infect humans. Statistical models are increasingly being used to prioritize which wildlife species to sample in the field, but the predictions being generated from any one model can be highly uncertain. Scientists also rarely track the success or failure of their predictions after they make them, making it hard to learn and make better models in the future. Together, these limitations mean that there is high uncertainty in which models may be best suited to the task. Challenges in Predictive Virus Modeling This new study suggests that the search for closely related viruses could be non-trivial, with over 400 bat species around the world predicted to host betacoronaviruses, a large group of viruses that includes those responsible for SARS-CoV (the virus that caused the 2002-2004 outbreak of SARS) and SARS-CoV-2 (the virus that causes COVID-19). Although the origin of SARS-CoV-2 remains uncertain, the spillover of other viruses from bats is a growing problem due to factors like agricultural expansion and climate change. Greg Albery, PhD, a postdoctoral fellow in Georgetown’s Biology Department, says COVID-19 provided the impetus to expedite their research. “This is a really rare opportunity,” explains Albery. “Outside of a pandemic, we’d never learn this much about these viruses in this small a timeframe. A decade of research has been collapsed into about a year of publications, and it means we can actually show that these tools work.” Validating Predictions with Real-World Data In the first quarter of 2020, the research team trained eight different statistical models that predicted which kinds of animals could host betacoronaviruses. Over more than a year, the team then tracked the discovery of 40 new bat hosts of betacoronaviruses to validate initial predictions and dynamically update their models. The researchers found that models harnessing data on bat ecology and evolution performed extremely well at predicting new hosts. In contrast, cutting-edge models from network science that used high-level mathematics – but less biological data – performed roughly as well or worse than expected at random. “One of the most important things our study gives us is a data-driven shortlist of which bat species should be studied further,” says Daniel Becker, PhD, assistant professor of biology at the University of Oklahoma. “After identifying these likely hosts, the next step is then to invest in monitoring to understand where and when betacoronaviruses are likely to spill over.” Carlson says that the team is now working with other scientists around the world to test bat samples for coronaviruses based on their predictions. “If we spend less money, resources, and time looking for these viruses, we can put all of those resources into the things that actually save lives down the road. We can invest in building universal vaccines to target those viruses, or monitoring for spillover in people that live near bats,” says Carlson. “It’s a win-win for science and public health.” Reference: “Optimising predictive models to prioritise viral discovery in zoonotic reservoirs” by Daniel J Becker, PhD; Gregory F Albery, PhD; Anna R Sjodin, PhD; Timothée Poisot, PhD; Laura M Bergner, PhD; Binqi Chen; Lily E Cohen, MPhil; Tad A Dallas, PhD; Evan A Eskew, PhD; Anna C Fagre, DVM; Maxwell J Farrell, PhD; Sarah Guth, BA; Barbara A Han, PhD; Nancy B Simmons, PhD; Michiel Stock, PhD; Emma C Teeling, PhD and Colin J Carlson, PhD, 10 January 2022, The Lancet Microbe. DOI: 10.1016/S2666-5247(21)00245-7 Additional study authors also included collaborators from the University of Idaho, Louisiana State University, University of California Berkeley, Colorado State University, Pacific Lutheran University, Icahn School of Medicine at Mount Sinai, University of Glasgow, Université de Montréal, University of Toronto, Ghent University, University College Dublin, Cary Institute of Ecosystem Studies, and the American Museum of Natural History. The authors are a part of the Viral Emergence Research Initiative (VERENA) consortium, which curates the largest ecosystem of open data in viral ecology, and builds tools to help predict which viruses could infect humans, which animals host them, and where they could someday emerge. Carlson and Albery are co-founders. The authors report having no personal financial interests related to the study. Support for VERENA is provided by L’Institut de Valorisation de Donne´es through the Universite´ de Montreal and by US National Science Foundation (BII 2021909). Additional funding for the study was provided the Wellcome Trust and the Research Foundation, the Flemish Government under the Onderzoeksprogramma Artificie¨le Intelligentie Vlaanderen program. This study was the first comprehensive eDNA biodiversity survey conducted on Mount Everest. From only 20 liters of water gathered in one of the toughest settings on Earth, researchers find evidence of 187 taxonomic orders. A team of scientists headed by the Wildlife Conservation Society (WCS) and Appalachian State University employed environmental DNA (eDNA) to record the breadth of high-alpine biodiversity on the world’s tallest peak, 29,032-foot Mount Everest (8,849 m). This important project is a component of the groundbreaking 2019 National Geographic and Rolex Perpetual Planet Everest Expedition, the largest single scientific expedition to the mountain in history. The scientists gathered eDNA from water samples over a four-week period in 10 ponds and streams between 14,763 feet (4,500 meters) and 18,044 feet (5,500 meters), publishing their results in the journal iScience. The locations comprised regions of the aeolian zone, which extends above the range of flowering plants and shrubs at the topmost reaches of the biosphere, as well as the alpine zone, which exists above the tree line and has a variety of flowering plant and shrub species. In just 20 liters of water, scientists discovered species from 187 taxonomic orders, or 16.3%, or one sixth of all known orders in the tree of life, the family tree of biodiversity on Earth. Tracie Seimon of WCS’s Zoological Health Program collecting eDNA sample. Credit: Anton Seimon/National Geographic eDNA: A Powerful Tool for Biodiversity Monitoring eDNA searches for trace amounts of genetic material left behind by organisms and wildlife and offers a more accessible, rapid, and comprehensive approach to increasing survey capacity for assessing biodiversity in aquatic environments. Samples are collected using a sealed cartridge containing a filter that captures genetic material that is later analyzed at a lab using DNA metabarcoding and other sequencing methodologies. WCS has been using eDNA for the detection of rare and threatened species from humpback whales to Swinhoe’s softshell turtle, one of the rarest species on the planet. Although the Everest study focused on identification at the order level, the team was able to identify many organisms to the genus or species level. For example, the team identified both rotifers and tardigrades, two tiny animal organisms that are known to occur in the harshest and most extreme environments and are considered to be among the most resilient animals known on Earth. In addition, they identified Tibetan snow cock, which are found in Sagarmatha National Park, and were surprised to find species such as domestic dogs and chickens, representing how human activities are influencing the landscape. Surprising Finds of Human-Linked Species and Pine Pollen They also identified pine trees, which only are found far downhill from where they sampled, demonstrating how wind-blown pollen can make its way high up into these watersheds. Another organism they identified from several sites was mayflies, which are known indicator species for environmental change. The eDNA inventory will aid future high-Himalayan biomonitoring and retrospective molecular studies to assess changes over time as climate-driven warming, glacial melt, and human-caused influences reshape this rapidly transforming world-renowned ecosystem. Said Dr. Tracie Seimon of WCS’s Zoological Health Program, co-lead of the Everest biology field team and lead of the study: “High-alpine and aeolian environments, which have often been thought of as barren and mostly devoid of life, in fact, have abundant biodiversity. High mountain environments including Mount Everest should be recognized as a target for sustained long-term biodiversity monitoring of high-alpine taxa to complement bioclimatic monitoring and climate change impact assessments.” Said Dr. Marisa Lim of the Wildlife Conservation Society: “We went in search of life on the roof of the world. This is what we found. However, the story does not end here. There is more to be discovered and we hope our findings help to inform future exploration.” Said Dr. Anton Seimon, co-lead of the field study, National Geographic Explorer, and Research Assistant Professor at Appalachian State University: “A century ago, when asked, ‘Why go to Mt Everest?’, the British mountaineer George Mallory famously replied ‘Because it’s there.’ Our 2019 team had a rather different perspective: we went to Mt Everest because it is informative, it can teach us things about the world we live in.” By providing this open-source dataset to the research community, the authors hope to contribute to the continued efforts to build up molecular resources to study and track the shifts in biodiversity of Earth’s highest mountain. Reference: “Estimating biodiversity across the tree of life on Mount Everest’s southern flank with environmental DNA” by Marisa C.W. Lim, Anton Seimon, Batya Nightingale, Charles C.Y. Xu, Stephan R.P. Halloy, Adam J. Solon, Nicholas B. Dragone, Steven K. Schmidt, Alex Tait, Sandra Elvin, Aurora C. Elmore and Tracie A. Seimon, 15 August 2022, iScience. DOI: 10.1016/j.isci.2022.104848 Researchers at MIT have identified a vast array of Fanzors, programmable DNA-cutting enzymes from eukaryotic organisms, expanding the gene-editing potential of RNA-guided tools and opening up possibilities for more precise and efficient genome modifications, particularly in human cells. New research finds RNA-guided enzymes called Fanzors are widespread among eukaryotic organisms. A diverse set of species, from snails to algae to amoebas, make programmable DNA-cutting enzymes called Fanzors — and a new study from scientists at MIT’s McGovern Institute for Brain Research has identified thousands of them. Fanzors are RNA-guided enzymes that can be programmed to cut DNA at specific sites, much like the bacterial enzymes that power the widely used gene-editing system known as CRISPR. The newly recognized diversity of natural Fanzor enzymes, reported recently in the journal Science Advances, gives scientists an extensive set of programmable enzymes that might be adapted into new tools for research or medicine. “RNA-guided biology is what lets you make programmable tools that are really easy to use. So the more we can find, the better,” says McGovern Fellow Omar Abudayyeh, who led the research with McGovern Fellow Jonathan Gootenberg. CRISPR and the Promise of Fanzors CRISPR, an ancient bacterial defense system, has made it clear how useful RNA-guided enzymes can be when they are adapted for use in the lab. CRISPR-based genome editing tools developed by MIT professor and McGovern investigator Feng Zhang, Abudayyeh, Gootenberg, and others have changed the way scientists modify DNA, accelerating research and enabling the development of many experimental gene therapies. Amoeba proteus. Researchers have since uncovered other RNA-guide enzymes throughout the bacterial world, many with features that make them valuable in the lab. The discovery of Fanzors, whose ability to cut DNA in an RNA-guided manner was reported by Zhang’s group earlier this year, opens a new frontier of RNA-guided biology. Fanzors were the first such enzymes to be found in eukaryotic organisms — a wide group of lifeforms, including plants, animals, and fungi, defined by the membrane-bound nucleus that holds each cell’s genetic material. (Bacteria, which lack nuclei, belong to a group known as prokaryotes.) “People have been searching for interesting tools in prokaryotic systems for a long time, and I think that that has been incredibly fruitful,” says Gootenberg. “Eukaryotic systems are really just a whole new kind of playground to work in.” One hope, Abudayyeh and Gootenberg say, is that enzymes that naturally evolved in eukaryotic organisms might be better suited to function safely and efficiently in the cells of other eukaryotic organisms, including humans. Zhang’s group has shown that Fanzor enzymes can be engineered to precisely cut specific DNA sequences in human cells. In the new work, Abudayyeh and Gootenberg discovered that some Fanzors can target DNA sequences in human cells even without optimization. “The fact that they work quite efficiently in mammalian cells was really fantastic to see,” Gootenberg says. Evolutionary Insights and Future Applications Prior to the current study, hundreds of Fanzors had been found among eukaryotic organisms. Through an extensive search of genetic databases led by lab member Justin Lim, Gootenberg and Abudayyeh’s team has now expanded the known diversity of these enzymes by an order of magnitude. Among the more than 3,600 Fanzors that the team found in eukaryotes and the viruses that infect them, the researchers were able to identify five different families of the enzymes. By comparing these enzymes’ precise makeup, they found evidence of a long evolutionary history. Fanzors likely evolved from RNA-guided DNA-cutting bacterial enzymes called TnpBs. In fact, it was Fanzors’ genetic similarities to these bacterial enzymes that first caught the attention of both Zhang’s group and Gootenberg and Abudayyeh’s team. The evolutionary connections that Gootenberg and Abudayyeh traced suggest that these bacterial predecessors of Fanzors probably entered eukaryotic cells, initiating their evolution, more than once. Some were likely transmitted by viruses, while others may have been introduced by symbiotic bacteria. The research also suggests that after they were taken up by eukaryotes, the enzymes evolved features suited to their new environment, such as a signal that allows them to enter a cell nucleus, where they have access to DNA. Through genetic and biochemical experiments led by biological engineering graduate student Kaiyi Jiang, the team determined that Fanzors have evolved a DNA-cutting active site that is distinct from that of their bacterial predecessors. This seems to allow the enzyme to cut its target sequence more precisely the ancestors of TnpB, when targeted to a sequence of DNA in a test tube, become activated and cut other sequences in the tube; Fanzors lack this promiscuous activity. When they used an RNA guide to direct the enzymes to cut specific sites in the genome of human cells, they found that certain Fanzors were able to cut these target sequences with about 10 to 20 percent efficiency. With further research, Abudayyeh and Gootenberg hope that a variety of sophisticated genome editing tools can be developed from Fanzors. “It’s a new platform, and they have many capabilities,” says Gootenberg. “Opening up the whole eukaryotic world to these types of RNA-guided systems is going to give us a lot to work on,” Abudayyeh adds. Reference: “Programmable RNA-guided DNA endonucleases are widespread in eukaryotes and their viruses” by Kaiyi Jiang, Justin Lim, Samantha Sgrizzi, Michael Trinh, Alisan Kayabolen, Natalya Yutin, Weidong Bao, Kazuki Kato, Eugene V. Koonin, Jonathan S. Gootenberg and Omar O. Abudayyeh, 27 September 2023, Science Advances. DOI: 10.1126/sciadv.adk0171 RRG455KLJIEVEWWF 印月餐廳家庭過節聚會適合嗎? 》台中公益路食記攻略|10家餐廳評分&推薦加分100%浜中特選昆布鍋物慶生氣氛夠嗎? 》公益路人氣美食完整評比|10家一次破解茶六燒肉堂婚前派對適合嗎? 》公益路餐廳推薦Top10|吃貨親訪真實心得 |
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