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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: 三希樓好吃嗎? 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。一笈壽司尾牙預算好掌控嗎? 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。一笈壽司適合請客嗎? 下一餐,不妨從這10家開始。印月餐廳值得推薦嗎? 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。三希樓飲料值得加點嗎? 如果你有私心愛店,也歡迎留言分享,KoDō 和牛燒肉婚前派對適合嗎? 你的推薦,可能讓我下一趟美食旅程變得更精彩。印月餐廳肉質如何? Researchers used DNA sequences from high-resolution experiments to train a neural network called BPNet, whose “black box” innerworkings were then uncovered to reveal sequence patterns and organizing principles of the genome’s regulatory code. Credit: Illustration courtesy of Mark Miller, Stowers Institute for Medical Research Opening the Black Box To Uncover the Rules of the Genome’s Regulatory Code Researchers at the Stowers Institute for Medical Research, in collaboration with colleagues at Stanford University and Technical University of Munich, have developed advanced explainable artificial intelligence (AI) in a technical tour de force to decipher regulatory instructions encoded in DNA. In a report published online on February 18, 2021, in Nature Genetics, the team found that a neural network trained on high-resolution maps of protein-DNA interactions can uncover subtle DNA sequence patterns throughout the genome and provide a deeper understanding of how these sequences are organized to regulate genes. Neural networks are powerful AI models that can learn complex patterns from diverse types of data such as images, speech signals, or text to predict associated properties with impressive high accuracy. However, many see these models as uninterpretable since the learned predictive patterns are hard to extract from the model. This black-box nature has hindered the wide application of neural networks to biology, where the interpretation of predictive patterns is paramount. One of the big unsolved problems in biology is the genome’s second code—its regulatory code. DNA bases (commonly represented by letters A, C, G, and T) encode not only the instructions for how to build proteins, but also when and where to make these proteins in an organism. The regulatory code is read by proteins called transcription factors that bind to short stretches of DNA called motifs. However, how particular combinations and arrangements of motifs specify regulatory activity is an extremely complex problem that has been hard to pin down. BPNet: A Next-Gen Neural Network Now, an interdisciplinary team of biologists and computational researchers led by Stowers Investigator Julia Zeitlinger, PhD, and Anshul Kundaje, PhD, from Stanford University, have designed a neural network—named BPNet for Base Pair Network—that can be interpreted to reveal regulatory code by predicting transcription factor binding from DNA sequences with unprecedented accuracy. The key was to perform transcription factor-DNA binding experiments and computational modeling at the highest possible resolution, down to the level of individual DNA bases. This increased resolution allowed them to develop new interpretation tools to extract the key elemental sequence patterns such as transcription factor binding motifs and the combinatorial rules by which motifs function together as a regulatory code. “This was extremely satisfying,” says Zeitlinger, “as the results fit beautifully with existing experimental results, and also revealed novel insights that surprised us.” For example, the neural network models enabled the researchers to discover a striking rule that governs the binding of the well-studied transcription factor called Nanog. They found that Nanog binds cooperatively to DNA when multiples of its motifs are present in a periodic fashion such that they appear on the same side of the spiraling DNA helix. Discovering Unexpected Patterns with Nanog “There has been a long trail of experimental evidence that such motif periodicity sometimes exists in the regulatory code,” Zeitlinger says. “However, the exact circumstances were elusive, and Nanog had not been a suspect. Discovering that Nanog has such a pattern, and seeing additional details of its interactions, was surprising because we did not specifically search for this pattern.” “This is the key advantage of using neural networks for this task,” says Žiga Avsec, PhD, first author of the paper. Avsec and Kundaje created the first version of the model when Avsec visited Stanford during his doctoral studies in the lab of Julien Gagneur, PhD, at the Technical University in Munich, Germany. “More traditional bioinformatics approaches model data using pre-defined rigid rules that are based on existing knowledge. However, biology is extremely rich and complicated,” says Avsec. “By using neural networks, we can train much more flexible and nuanced models that learn complex patterns from scratch without previous knowledge, thereby allowing novel discoveries.“ BPNet Learns Like a Face Recognition System BPNet’s network architecture is similar to that of neural networks used for facial recognition in images. For instance, the neural network first detects edges in the pixels, then learns how edges form facial elements like the eye, nose, or mouth, and finally detects how facial elements together form a face. Instead of learning from pixels, BPNet learns from the raw DNA sequence and learns to detect sequence motifs and eventually the higher-order rules by which the elements predict the base-resolution binding data. Once the model is trained to be highly accurate, the learned patterns are extracted with interpretation tools. The output signal is traced back to the input sequences to reveal sequence motifs. The final step is to use the model as an oracle and systematically query it with specific DNA sequence designs, similar to what one would do to test hypotheses experimentally, to reveal the rules by which sequence motifs function in a combinatorial manner. “The beauty is that the model can predict way more sequence designs that we could test experimentally,” Zeitlinger says. “Furthermore, by predicting the outcome of experimental perturbations, we can identify the experiments that are most informative to validate the model.” Indeed, with the help of CRISPR gene editing techniques, the researchers confirmed experimentally that the model’s predictions were highly accurate. Since the approach is flexible and applicable to a variety of different data types and cell types, it promises to lead to a rapidly growing understanding of the regulatory code and how genetic variation impacts gene regulation. Both the Zeitlinger Lab and the Kundaje Lab are already using BPNet to reliably identify binding motifs for other cell types, relate motifs to biophysical parameters, and learn other structural features in the genome such as those associated with DNA packaging. To enable other scientists to use BPNet and adapt it for their own needs, the researchers have made the entire software framework available with documentation and tutorials. Reference: “Base-resolution models of transcription-factor binding reveal soft motif syntax” by Žiga Avsec, Melanie Weilert, Avanti Shrikumar, Sabrina Krueger, Amr Alexandari, Khyati Dalal, Robin Fropf, Charles McAnany, Julien Gagneur, Anshul Kundaje and Julia Zeitlinger, 18 February 2021, Nature Genetics. DOI: 10.1038/s41588-021-00782-6 Other contributors to the study included Melanie Weilert, Sabrina Krueger, PhD, Khyati Dalal, Robin Fropf, PhD, and Charles McAnany, PhD, from Stowers; and Avanti Shrikumar, PhD, and Amr Alexandari from Stanford University. This work was supported in part by the Stowers Institute for Medical Research and the National Human Genome Research Institute (awards R01HG009674 and U01HG009431 to A.K. and R01HG010211 to J.Z.) and National Institute of General Medical Sciences (DP2GM123485 to A.K.) of the National Institutes of Health (NIH). Additional support included the German Bundesministerium für Bildung und Forschung (project MechML 01IS18053F to Z.A.) and a Stanford BioX Fellowship and Howard Hughes Medical Institute International Student Research Fellowship (to A.S). Sequencing was performed at the Stowers Institute for Medical Research and University of Kansas Medical Center Genomics Core supported by the NIH awards from the National Institute of Child Health and Human Development (U54HD090216), Office of the Director (Instrumentation S10OD021743), and National Institute of General Medical Sciences (COBRE P30GM122731). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Lay Summary of Findings DNA is well known for encoding proteins. It also contains another code—a regulatory code—that directs when and where to make proteins in an organism. In a report published online February 18, 2021, in Nature Genetics, researchers from the lab of Julia Zeitlinger, PhD, an investigator at the Stowers Institute for Medical Research, and collaborators from Stanford University and Technical University of Munich describe how they have used explainable artificial intelligence to help decipher the genome’s regulatory code. The researchers developed a neural network whose inner workings can be uncovered to reveal regulatory DNA sequence patterns and their higher-level organizing principles from high-resolution genomics data. The Zeitlinger Lab anticipates that the predictive models, rules, and maps generated using this type of approach will lead to a better understanding of natural and disease-associated genetic variation in regulatory regions of DNA. Horseshoe Bat. Credit: University of East Anglia A coronavirus related to the virus that causes COVID-19 in humans has been found in UK horseshoe bats – according to new collaborative research from the University of East Anglia, ZSL (Zoological Society of London), and Public Health England (PHE). However, there is no evidence that this novel virus has been transmitted to humans, or that it could in the future, unless it mutates. UEA researchers collected fecal samples from more than 50 lesser horseshoe bats in Somerset, Gloucestershire, and Wales and sent them for viral analysis at Public Health England. Genome sequencing found a novel coronavirus in one of the bat samples, which the team have named ‘RhGB01’. It is the first time that a sarbecovirus (SARS-related coronavirus) has been found in a lesser horseshoe bat and the first to be discovered in the UK. There is no evidence that this novel virus has been transmitted to humans, or that it could in the future, unless it mutates. The research team say that these bats will almost certainly have harbored the virus for a very long time. And it has been found now, because this is the first time that they have been tested. Importantly, this novel virus is unlikely to pose a direct risk to humans, unless it mutates. A mutation could happen if a human infected with COVID-19 passes it to an infected bat, so anyone coming into contact with bats or their droppings, for example, those engaged in caving or bat protection, should wear appropriate PPE. Prof Diana Bell, an expert in emerging zoonotic diseases from UEA’s School of Biological Sciences, said: “Horseshoe bats are found across Europe, Africa, Asia, and Australia and the bats we tested lie at the western extreme of their range. “Similar viruses have been found in other horseshoe bat species in China, South East Asia, and Eastern Europe. “Our research extends both the geographic and species ranges of these types of viruses and suggests their more widespread presence across more than 90 species of horseshoe bats. “These bats will almost certainly have harbored this virus for a very long time – probably many thousands of years. We didn’t know about it before because this is the first time that such tests have been carried out in UK bats. “We already know that there are different coronaviruses in many other mammal species too,” she said. “This is a case of ‘seek and you will find’. “Research into the origins of SARS-CoV-2, the virus that causes COVID-19 in humans, has focused on horseshoe bats – but there are some 1,400 other bat species and they comprise 20 percent of known mammals. “Our findings highlight the need for robust genotype testing for these types of viruses in bat populations around the world. And it raises an important question about what other animals carry these types of viruses.” Prof Andrew Cunningham, from the Zoological Society of London, said: “Our findings highlight that the natural distribution of sarbecoviruses and opportunities for recombination through intermediate host co-infection have been underestimated. “This UK virus is not a threat to humans because the receptor binding domain (RBD) – the part of the virus that attaches to host cells to infect them – is not compatible with being able to infect human cells. “But the problem is that any bat harboring a SARS-like coronavirus can act as a melting pot for virus mutation. So if a bat with the RhGB01 infection we found were to become infected with SARS-CoV-2, there is a risk that these viruses would hybridize and a new virus emerges with the RBD of SARS-CoV-2, and so be able to infect people. “Preventing transmission of SARS-CoV-2 from humans to bats, and hence reducing opportunities for virus mutation, is critical with the current global mass vaccination campaign against this virus.” Prof Bell added: “The main risks would be for example a bat rehabilitator looking after a rescued animal and infecting it with SARS-CoV2 – which would provide an opportunity for genetic recombination if it is already carrying another sarbecovirus. “Anyone coming into contact with bats or their droppings, such as bat rescuers or cavers, should wear appropriate PPE – in order to reduce the risk of a mutation occurring. “We need to apply stringent regulations globally for anyone handling bats and other wild animals,” she added. The new virus falls within the subgroup of coronaviruses called sarbecoviruses which contains both SARS-CoV-2 (responsible for the current pandemic) and SARS-CoV (responsible for the initial 2003 SARS outbreak in humans). Further analysis compared the virus with those found in other horseshoe bat species in China, South East Asia, and Europe and showed that its closest relative was discovered in a Blasius’s bat from Bulgaria in 2008. The UK discovery was made by undergraduate ecology student Ivana Murphy, from UEA’s School of Biological Sciences, who collected bat droppings as part of her final year research dissertation. Jack Crook conducted the genetic analyses in partnership with other researchers at PHE. A total of 53 bats were captured, and their feces were collected in sterile bags. The research was conducted under strict Health and Safety protocols. Full PPE was worn and Ivana was regularly tested for COVID-19 to avoid any chance of cross contamination. The bats were released immediately after their droppings had been collected. Ivana said: “More than anything, I’m worried that people may suddenly start fearing and persecuting bats, which is the last thing I would want and would be unnecessary. As like all wildlife, if left alone they do not pose any threat.” Reference: “Metagenomic identification of a new sarbecovirus from horseshoe bats in Europe” by Jack M. Crook, Ivana Murphy, Daniel P. Carter, Steven T. Pullan, Miles Carroll, Richard Vipond, Andrew A. Cunningham and Diana Bell, 19 July 2021, Scientific Reports. DOI: 10.1038/s41598-021-94011-z A male spider catapulting off a female during mating. These male spiders catapult at impressive speeds to flee their mates before they get eaten. After males of the orb-weaving spider Philoponella prominens mate with a female, they quickly launch themselves away, researchers report today (April 25, 2022) in the journal Current Biology. Using a mechanism that hadn’t been described before, the male spiders use a joint in their first pair of legs to immediately undertake a split-second catapult action, flinging themselves away from their partners at impressive speeds clocked at up to 88 centimeters per second (cm/s) or 2 miles per hour. “We found that mating was always ended by a catapulting, which is so fast that common cameras could not record the details clearly,” says Shichang Zhang of Hubei University in Wuhan, China. The reason the males catapult themselves is simple: to avoid being eaten by the female in an act of sexual cannibalism. The few males the researchers saw that didn’t catapult were promptly captured, killed, and consumed by their female partners. When the researchers prevented males from catapulting, they met the same fate. This photograph shows two Philoponella prominens spiders mating. Credit: Shichang Zhang Zhang and colleagues made this discovery while studying sexual selection in this spider, which lives in communal groups of up to 300 individuals in a web complex with many individual webs within it. Of 155 successful matings, they report that 152 ended with the male catapulting. All those catapulting males survived their sexual encounters. The three males that didn’t catapult were killed. Another 30 prevented by the researchers from catapulting also got killed and eaten by the female. The researchers say that the findings show clearly that the catapulting behavior is required to avoid sexual cannibalism. This video shows a male spider catapulting off a female during mating. Credit: Shichang Zhang With high-resolution video cameras, the researchers calculated an average peak speed of catapulting spiders of about 65 cm/s (1.5 mph). Speeds ranged from about 30 cm/s (0.7 mph) to almost 90 cm/s (2 mph). They also accelerated at an average of about 200 m/s2. As they soar through the air, the males also spin around 175 times per second on average. The males manage to catapult at these speeds by folding their tibia-metatarsus joint against the female. When released, hydraulic pressure allows for rapid expansion. The joint in question lacks extensor muscles in spiders, they explain. This photograph shows two Philoponella prominens spiders mating. Credit: Shichang Zhang “We observed that males that could not perform the catapulting were cannibalized by the female,” Zhang says. “It suggests that this behavior evolved to fight against female’s sexual cannibalism under strong predation pressure of females. “Females may use this behavior to judge the quality of a male during mating,” he adds. “If a male could not perform catapulting, then kill it, and if a male could perform it multiple times, then accept its sperm.” In future studies, they hope to explore the role of catapulting ability in male mating success. Reference: “Male spiders avoid sexual cannibalism with a catapult mechanism” by Shichang Zhang, Yangjié Liu, Yubing Ma, Hao Wang, Yao Zhao, Matjaž Kuntner and Daiqin Li, 25 April 2022, Current Biology. DOI: 10.1016/j.cub.2022.03.051 This work was supported by the grants from the National Natural Science Foundation of China, the Ministry of Education AcRF grants from Singapore, and the Slovenian Research Agency. RRG455KLJIEVEWWF 三希樓尾牙拍照效果好嗎? 》公益路必吃清單|10家高分餐廳一次收藏KoDō 和牛燒肉團體宴客合適嗎? 》台中公益路餐廳推薦|10間必吃美食實測評比加分100%浜中特選昆布鍋物慶生氣氛夠嗎? 》台中公益路食記攻略|10家餐廳評分&推薦 |
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