跟著城市嚮導「老臺北胃」,用味道認識臺北
很多朋友來臺北,
都會問我同一個問題:
「臺北小吃那麼多,到底該從哪裡開始吃?」
夜市裡攤位一字排開、老店藏在巷弄轉角,
看起來都很有名,卻又怕吃錯、踩雷,
結果行程走完,反而沒真正記住臺北的味道。
我常被朋友笑說是「老臺北胃」。
不是因為特別會吃,而是因為在這座城市待久了,
知道哪些味道是陪著臺北人成長的日常。
這篇文章,就是我整理的一份清單。
如果你第一次來臺北,
我會帶你從這 10 樣最具代表性的臺北小吃開始,
不追一時爆紅、不走浮誇路線,
而是讓你吃完後能真正理解
原來,這就是臺灣的小吃文化。
跟著老臺北胃走,
用最簡單的方式,
把臺北的味道,一樣一樣記在心裡。
我怎麼選出這 10 大臺北小吃?
在臺北,
你隨便走進一條夜市或老街,
都可以輕易列出 30 種以上的小吃。
所以這份清單,
不是「臺北最好吃」的排名,
而是我站在「第一次來臺北的旅客」角度,
做的推薦。
身為一個被朋友稱作「老臺北胃」的人,
我選這 10 樣小吃時,心裡一直放著幾個原則。
一吃就知道:這就是臺灣味
燒烤、火鍋很好吃,
但換個城市、換個國家,也吃得到。
我挑的,是那種
只要一入口,就會讓人聯想到的臺灣味。
不需要解釋太多,舌頭就能懂。
不只是好吃,而是有「臺北日常感」
臺北的小吃迷人,
不只在味道,
而在它融入生活的方式。
我在意的是:
- 會不會出現在早餐、宵夜、下班後
- 有沒有陪伴這座城市很久的記憶
吃完之後,你會記得臺北
最後一個標準很簡單。
如果你回到家,
還會突然想起某個味道、某碗熱湯、某個攤位的香氣
那它就值得被放進這份清單裡。
接下來的 10 樣臺北小吃,
就是我會親自帶朋友去吃的在地美食。
不趕行程、不拚數量,
而是一口一口,
慢慢認識臺北。
第 1 家:饌堂-黑金滷肉飯(雙連店)|一碗就懂臺灣人的日常


如果只能用一道料理,
來解釋臺灣人的日常飲食,
那我一定會先帶你吃滷肉飯。
在臺北,滷肉飯不是什麼特別的節慶料理,
而是從早餐、午餐到宵夜,
默默陪著很多人長大的味道。
而在眾多滷肉飯之中,
饌堂-黑金滷肉飯(雙連店),
我很常帶第一次來臺北的朋友造訪的一家。
為什麼第一站,我會選饌堂?
饌堂的滷肉飯,走的是**「黑金系」路線**。
滷汁顏色深、香氣厚,
卻不死鹹、不油膩。
滷肉切得細緻,
肥肉入口即化,搭配熱騰騰的白飯,
每一口都是很完整、很臺灣的味道。
對第一次吃滷肉飯的旅客來說,
這種風味夠經典、也夠穩定,
不需要太多心理準備,就能理解為什麼臺灣人這麼愛它。
不只是好吃,而是「現在的臺北感」
饌堂並不是那種躲在深巷裡的老攤,
空間乾淨、節奏俐落,
卻沒有失去滷肉飯該有的靈魂。
這也是我會推薦給旅客的原因之一:
它保留了臺灣小吃的核心味道,
同時也讓第一次來臺北的人,
吃得安心、坐得舒服。
老臺北胃的帶路小提醒
如果是第一次來:
- 一定要點招牌黑金滷肉飯
- 可以加一顆滷蛋,風味會更完整
- 搭配簡單的小菜,就很有臺灣家常感
這不是那種吃完會驚呼「哇!」的料理,
而是會讓你在幾口之後,
慢慢理解
原來,臺灣人的日常,就是這樣被一碗飯照顧著。
地址:103臺北市大同區雙連街55號1樓
電話:0225501379
第 2 家:富宏牛肉麵|臺北深夜也醒著的一碗熱湯

如果說滷肉飯代表的是臺灣人的日常,
那牛肉麵,
就是很多臺北人心中最有份量的一餐。
而在臺北提到牛肉麵,
富宏牛肉麵,
幾乎是夜貓族、加班族、外地旅客一定會被帶去的一站。
為什麼老臺北胃會帶你來吃富宏?
富宏最讓人印象深刻的,
不是華麗裝潢,
而是那鍋永遠冒著熱氣的紅燒湯頭。
湯色濃而不混,
帶著牛骨與醬香慢慢熬出的厚度,
喝起來溫潤、不刺激,
卻會在嘴裡留下很深的記憶點。
牛肉給得大方,
燉到軟嫩卻不鬆散,
搭配彈性十足的麵條,
每一口都很直接、很臺北。
不分時間,任何時候都適合的一碗麵
富宏牛肉麵最迷人的地方,
在於它陪伴了無數個臺北的夜晚。
不管是深夜下班、看完演唱會、
或是剛抵達臺北、還沒適應時差,
這裡總有一碗熱湯在等你。
對旅客來說,
這種不用算時間、不用擔心打烊的安心感,
本身就是一種臺北特色。
老臺北胃的帶路小提醒
第一次來富宏,我會這樣點:
- 紅燒牛肉麵是首選
- 如果想吃得更過癮,可以加點牛筋或牛肚
- 湯先喝一口原味,再視情況調整辣度
這不是精緻料理,
卻是一碗能在任何時刻撐住你的牛肉麵。
在臺北,
很多夜晚,
就是靠這樣一碗熱湯走過來的。
地址:108臺北市萬華區洛陽街67號
電話:0223713028
菜單:https://www.facebook.com/pages/富宏牛肉麵-原建宏牛肉麵/
第 3 家:士林夜市・吉彖皮蛋涼麵|臺北夏天最有記憶點的一口清爽

如果你在夏天來到臺北,
一定會很快發現一件事
這座城市,真的很熱。
也正因為這樣,
臺北的小吃世界裡,
才會出現像「涼麵」這樣的存在。
而在士林夜市,
吉彖皮蛋涼麵,
就是我很常帶旅客來吃的一家。
為什麼在夜市,我會帶你吃涼麵?
很多人對夜市的印象,
都是炸物、熱湯、重口味。
但真正的臺北夜市,
其實也很懂得照顧人的胃。
吉彖的涼麵,
冰涼的麵條拌上濃郁芝麻醬,
再加上切得細緻的皮蛋,
入口的第一瞬間,
就是一種「被降溫」的感覺。
那種清爽,
不是沒味道,
而是在濃香與清涼之間取得剛剛好的平衡。
皮蛋,是靈魂,也是臺灣味的關鍵
對很多外國旅客來說,
皮蛋是既好奇、又有點猶豫的存在。
但我常說,
如果要嘗試皮蛋,
涼麵是一個非常溫柔的起點。
芝麻醬的香氣會先接住味蕾,
皮蛋的風味則在後段慢慢出現,
不衝、不嗆,
反而多了一層深度。
很多人吃完後,
都會露出那種「原來是這樣啊」的表情。
老臺北胃的帶路小提醒
第一次點吉彖皮蛋涼麵,我會建議:
- 一定要選皮蛋款,才吃得到特色
- 醬料先拌勻,再吃,風味會更完整
- 如果天氣真的很熱,這一碗會救你一整晚
這不是華麗的小吃,
卻非常臺北。
在悶熱的夜晚,
站在夜市人潮裡,
吃著一碗涼麵,
你會突然明白——
原來臺北的小吃,連氣候都一起考慮進去了。
地址:111臺北市士林區基河路114號
電話:0981014155
菜單:https://www.facebook.com/profile.php?id=100064238763064
第 4 家:胖老闆誠意肉粥|臺北人深夜最踏實的一碗粥

如果你問我,
臺北人在深夜、下班後,
最容易感到被安慰的食物是什麼——
我會毫不猶豫地說:肉粥。
而提到肉粥,
胖老闆誠意肉粥,
就是很多老臺北人口中的那一味。
為什麼這一碗粥,會被叫做「誠意」?
胖老闆的肉粥,看起來很簡單。
白粥、肉燥、配菜,
沒有華麗擺盤,也沒有複雜作法。
但真正坐下來吃,你會發現:
這碗粥,不敷衍任何一個細節。
粥體滑順、不稀薄,
肉燥香而不膩,
搭配各式家常小菜,
一口一口吃下去,
很自然就會放慢速度。
這種味道,
不是要你驚艷,
而是要你安心。
這不是觀光小吃,而是臺北人的生活片段
胖老闆誠意肉粥,
最迷人的地方,
就是它的客人。
你會看到:
- 剛下班的上班族
- 熬夜後來吃一碗熱粥的人
- 熟門熟路、點菜不用看菜單的老客人
這些畫面,
比任何裝潢都更能說明這家店在臺北的位置。
對旅客來說,
這是一個走進臺北人日常的入口。
老臺北胃的帶路小提醒
第一次來吃,我會這樣建議:
- 肉粥一定要點,這是主角
- 配幾樣小菜一起吃,才有完整體驗
- 不用急,慢慢吃,這碗粥就是要你放鬆
這不是為了拍照而存在的小吃,
而是那種
**會讓人記得「那天晚上,我在臺北吃了一碗很溫暖的粥」**的味道。
地址:10491臺北市中山區長春路89-3號
電話:0913806139
第 5 家:圓環邊蚵仔煎|夜市裡最不能缺席的臺灣經典

如果要選一道
最常出現在旅客記憶裡的臺灣小吃,
蚵仔煎一定排得上前幾名。
而在臺北,
圓環邊蚵仔煎,
就是那種很多臺北人從小吃到大的存在。
為什麼蚵仔煎,這麼能代表臺灣?
蚵仔煎的魅力,
不在於精緻,
而在於它把幾種看似簡單的食材,
煎成了一種獨特的口感。
新鮮蚵仔的海味、
雞蛋的香氣、
地瓜粉形成的滑嫩外皮,
最後再淋上甜中帶鹹的醬汁,
一口下去,
就是夜市的完整畫面。
這種味道,
很難在其他國家找到替代品。
圓環邊,吃的是記憶感
圓環邊蚵仔煎,
沒有多餘的包裝,
也不刻意迎合潮流。
它留下來的原因很簡單
味道夠穩、節奏夠快、
讓人一吃就知道「對,就是這個」。
對旅客來說,
這是一家
不需要研究、不需要比較,就能安心點蚵仔煎的地方。
老臺北胃的帶路小提醒
第一次吃蚵仔煎,我會這樣建議:
- 趁熱吃,口感最好
- 不用急著加辣,先吃原味
- 醬汁是靈魂,別急著把它拌掉
蚵仔煎不是細嚼慢嚥的料理,
它屬於人聲鼎沸、鍋鏟作響的夜市時刻。
站在人群裡,
吃著一盤熱騰騰的蚵仔煎,
你會很清楚地感受到
這,就是臺北的夜晚。
地址:103臺北市大同區寧夏路46號
電話:0225580198
菜單:https://oystera.com.tw/menu
第 6 家:阿淑清蒸肉圓|第一次吃肉圓,就該從這裡開始

說到臺灣小吃,
很多人腦中一定會出現「肉圓」兩個字。
但真正吃過之後才會發現,
肉圓,從來不只有一種樣子。
在臺北,
阿淑清蒸肉圓,
就是我很常拿來介紹「清蒸派肉圓」的一家。
清蒸肉圓,和你想像的不一樣
不少旅客對肉圓的第一印象,
來自油炸版本,
外皮厚、口感重。
而阿淑的清蒸肉圓,
完全是另一個方向。
外皮晶瑩、滑嫩,
帶著自然的彈性,
不油、不膩,
一入口反而顯得清爽。
內餡扎實,
豬肉香氣清楚,
搭配特製醬汁,
味道層次簡單卻很乾淨。
為什麼我會推薦給第一次來臺北的旅客?
因為這顆肉圓,
不需要適應期。
它不刺激、不厚重,
即使是第一次嘗試臺灣小吃的人,
也能輕鬆接受。
對旅客來說,
這是一顆
「吃得懂、也記得住」的肉圓。
老臺北胃的帶路小提醒
第一次來阿淑,我會這樣吃:
- 直接點一顆清蒸肉圓,吃原味
- 醬汁先別全部拌開,邊吃邊調整
- 放慢速度,感受外皮的口感變化
這不是夜市裡熱鬧喧囂的料理,
而是那種
安靜地展現臺灣小吃功夫的味道。
當你吃完這顆肉圓,
會更明白一件事
臺灣小吃的魅力,
往往藏在這些細節裡。
地址:242新北市新莊區復興路一段141號
電話:0229975505
第 7 家:胡記米粉湯|一碗最貼近臺北早晨的味道

如果說前面幾樣小吃,
是臺北的熱鬧與記憶,
那麼米粉湯,
就是這座城市最真實的日常。
而在臺北,
胡記米粉湯,
是很多人從小吃到大的存在。
為什麼米粉湯,這麼「臺北」?
米粉湯不是重口味料理,
它靠的不是刺激,
而是一碗清澈卻有深度的湯。
胡記的湯頭,
用豬骨慢慢熬出香氣,
喝起來清爽、不油,
卻能在喉嚨留下溫度。
米粉細軟,
吸附湯汁後入口順滑,
簡單到不能再簡單,
卻正是臺北人習以為常的早晨風景。
配菜,才是這一碗的靈魂延伸
在胡記吃米粉湯,
主角雖然是湯,
但真正讓人滿足的,
往往是那些小菜。
紅燒肉、豬內臟、燙青菜,
隨意點上幾樣,
湯一口、菜一口,
就是很多臺北人記憶中的早餐組合。
對旅客來說,
這是一種
不需要解釋,就能融入的臺北生活感。
老臺北胃的帶路小提醒
第一次來胡記,我會這樣建議:
- 一定要點米粉湯,湯先喝
- 再配 1~2 樣小菜,體驗會完整很多
- 這一餐適合慢慢吃,不用趕
這不是為了觀光而存在的小吃,
而是一碗
每天準時出現在臺北人生活裡的湯。
當你坐在店裡,
聽著湯勺碰撞的聲音,
你會突然感覺到——
原來,臺北的早晨,
就是從這樣一碗米粉湯開始的。
地址:106臺北市大安區大安路一段9號1樓
電話:0227212120
第 8 家:藍家割包|一口咬下的臺灣街頭記憶

如果要選一道
外國旅客一看到就會好奇、吃完又會記住的小吃,
割包,一定在名單裡。
而在臺北,
藍家割包,
就是我很放心帶旅客來認識這道經典的一站。
割包,為什麼被叫做「臺灣漢堡」?
割包的結構其實很簡單:
鬆軟的白饅頭、
燉得入味的滷五花肉、
酸菜、花生粉、香菜。
但真正迷人的,
是這些元素組合在一起時,
形成的層次感。
肉香、甜味、鹹味、清爽度,
在一口之間同時出現,
沒有誰搶戲,
卻彼此剛好。
這種平衡感,
正是臺灣小吃很迷人的地方。
藍家割包不是走浮誇路線,
它給人的感覺很直接
就是你期待中的割包樣子。
饅頭柔軟不乾,
五花肉肥瘦比例恰到好處,
入口即化卻不膩口,
花生粉的甜香收尾,
讓整體味道非常完整。
對第一次吃割包的旅客來說,
這是一個
不會出錯、也很容易愛上的版本。
老臺北胃的帶路小提醒
第一次吃藍家割包,我會這樣建議:
- 直接點招牌割包,不要改配料
- 如果有香菜,建議保留,味道會更完整
- 趁熱吃,饅頭口感最好
割包不是精緻料理,
卻非常有記憶點。
站在街頭,
拿著一顆熱騰騰的割包,
邊走邊吃,
你會很清楚地感受到
這一口,就是臺灣的街頭生活。
地址:100臺北市中正區羅斯福路三段316巷8弄3號
電話:0223682060
菜單:https://instagram.com/lan_jia_gua_bao?utm_medium=copy_link
第 9 家:御品元冰火湯圓|臺北夜晚最溫柔的一碗甜

吃了一整天的臺北小吃,
到了這個時候,
胃其實已經差不多滿了。
但只要天氣一涼,
或夜色慢慢降下來,
你還是會想找一碗——
不是為了吃飽,而是為了舒服的甜點。
這時候,我通常會帶你來 御品元冰火湯圓。
為什麼叫「冰火」?這碗湯圓的關鍵就在這裡
御品元最有特色的地方,
就在於它的「冰火交錯」。
熱騰騰的湯圓,
外皮軟糯、內餡濃香,
搭配冰涼清甜的桂花蜜湯,
一口下去,
溫度在嘴裡交替出現。
不是衝突,
而是一種很細膩的平衡。
這樣的吃法,
也正是臺灣甜點很擅長的地方——
不張揚,但很有記憶點。
這是一碗,會讓人慢下來的甜點
和夜市裡熱鬧的甜品不同,
御品元的冰火湯圓,
更像是一個讓人停下腳步的存在。
你會發現,
坐在這裡吃湯圓的人,
說話聲都會不自覺地變小。
對旅客來說,
這不只是吃甜點,
而是一個
把白天的熱鬧慢慢收進回憶裡的時刻。
老臺北胃的帶路小提醒
第一次吃御品元,我會這樣建議:
- 點招牌冰火湯圓,體驗完整特色
- 先單吃湯圓,再搭配湯一起吃
- 放慢速度,這一碗不適合趕時間
這不是為了拍照而存在的甜點,
而是一碗
會讓你記得「那天晚上在臺北,很舒服」的湯圓。
地址:106臺北市大安區通化街39巷50弄31號
電話:0955861816
菜單:https://instagram.com/lan_jia_gua_bao
第 10 家:頃刻間綠豆沙牛奶專賣店|把臺北的味道,留在最後一口清甜

走到這一站,
其實已經不需要再吃什麼大份量的東西了。
這時候,
最適合的,
是一杯不吵鬧、不張揚,
卻會默默留在記憶裡的飲品。
頃刻間綠豆沙牛奶,
就是我很常用來替一天畫下句點的選擇。
綠豆沙牛奶,為什麼這麼「臺灣」?
在臺灣,
飲料不只是解渴,
而是一種生活節奏。
綠豆沙牛奶看起來簡單,
但真正好喝的版本,
靠的是火候、比例,
還有耐心。
頃刻間的綠豆沙,
口感細緻、不粗顆,
甜度自然、不膩口,
牛奶的加入,
讓整杯變得柔順而溫和。
這不是衝擊味蕾的飲料,
而是一種
喝完之後,會覺得剛剛那一刻很舒服的甜。
為什麼我會用它當作最後一站?
因為它很臺北。
你可以外帶,
邊走邊喝;
也可以站在店門口,
慢慢把杯子喝空。
沒有儀式感,
卻很真實。
對旅客來說,
這杯綠豆沙牛奶,
就像是把今天吃過的所有味道,
溫柔地整理好,
帶走。
老臺北胃的帶路小提醒
第一次喝頃刻間,我會這樣建議:
- 直接點招牌綠豆沙牛奶
- 正常甜就很剛好,不用特別調整
- 找個角落慢慢喝,別急著趕路
這一杯,
不會讓你驚呼,
卻會在回程的路上,
突然想起來。
原來,臺北的味道,是這樣結束一天的。
地址:111臺北市士林區小北街1號
電話:0228818619
菜單:https://instagram.com/chill_out_moment?igshid=YmMyMTA2M2Y=
如果只有 3 天的自助旅行在臺北,怎麼吃這 10 家?
第一次來臺北,
時間有限、胃容量也有限,
與其每一家都趕,不如照著節奏吃。
這份 3 天小吃路線,
是老臺北胃會帶朋友實際走的版本:
不爆走、不硬塞,
讓你每天都吃得剛剛好。
臺北 3 天小吃推薦行程表(老臺北胃版本)
|
天數 |
時段 |
店家名稱 |
小吃類型 |
|
Day 1 |
午餐 |
饌堂-黑金滷肉飯(雙連店) |
滷肉飯 |
|
Day 1 |
下午 |
阿淑清蒸肉圓 |
肉圓 |
|
Day 1 |
晚餐 |
富宏牛肉麵 |
牛肉麵 |
|
Day 1 |
宵夜 |
胖老闆誠意肉粥 |
粥品 |
|
Day 2 |
早餐 |
胡記米粉湯 |
米粉湯 |
|
Day 2 |
下午 |
藍家割包 |
割包 |
|
Day 2 |
晚上 |
士林夜市-吉彖皮蛋涼麵 |
涼麵 |
|
Day 2 |
夜市 |
圓環邊蚵仔煎 |
蚵仔煎 |
|
Day 3 |
下午 |
御品元冰火湯圓 |
甜點 |
|
Day 3 |
收尾 |
頃刻間綠豆沙牛奶專賣店 |
飲品 |
雖然每個小吃的地點都有一點距離,但是你也知道,好吃的小吃,是值得你花一點時間前往品嘗
老臺北胃的小提醒
- 不需要每一家都點到最滿
- 留一點餘裕,才會想再回來
- 臺北小吃的魅力,不在於吃多少,而在於記住了什麼味道
當你照著這 3 天走完,
你會發現,
臺北不是靠一兩道名菜被記住的,
而是靠這些看似日常、卻很真實的小吃。
下次再來,老臺北胃再帶你吃更深的那一輪。
老臺北胃帶路|這 10 口,就是我心中的臺北

寫到這裡,
其實已經不是在推薦哪一家小吃了。
而是在回頭看,
這座城市,是怎麼用食物陪著人生活的。
滷肉飯、牛肉麵、肉粥、米粉湯,
不是為了成為觀光名單而存在,
而是每天默默出現在臺北人的日子裡。
夜市裡的蚵仔煎、涼麵、割包,
熱鬧、吵雜、節奏很快,
卻也正是臺北最真實的樣子。
而最後那碗湯圓、那杯綠豆沙牛奶,
則是在一天結束時,
替味蕾留下一個溫柔的句點。
如果你問我,
「這 10 家是不是臺北最好吃的小吃?」
我會說,
它們不一定是排行榜第一名,
卻是我真的會帶朋友去吃的版本。
因為它們吃得到:
- 臺北人的日常
- 巷弄裡的熟悉感
- 不需要解釋,就能被理解的味道
如果你是第一次來臺北,
跟著這份清單走,
你不一定會吃得最飽,
但你一定會記得——
臺北,是什麼味道。
而如果有一天,
你又再回到這座城市,
走進熟悉的街口、
看到冒著熱氣的小攤,
你也會開始懂得,
為什麼老臺北胃,
總是記得這些看似平凡的滋味。
因為,真正留在心裡的,
從來不是吃過多少,
而是哪一口,讓你想起臺北。
胡記米粉湯排隊值得嗎?
走完這 10 家,
你可能會發現一件事圓環邊蚵仔煎會踩雷嗎?
臺北的小吃,其實不急著被你記住。
它們就安靜地存在在街角、夜市、轉彎處,胖老闆誠意肉粥一定要點嗎?
等你有一天,再回到這座城市。藍家割包名過其實嗎?
如果你是第一次來臺北,胖老闆誠意肉粥當宵夜適合嗎?
希望這份「老臺北胃帶路」的清單,
能幫你少一點猶豫、多一點安心。
不用擔心踩雷,圓環邊蚵仔煎推薦點什麼?
也不用為了排行而奔波,士林夜市-吉彖皮蛋涼麵當正餐適合嗎?
只要照著節奏走,
你就會吃到屬於自己的臺北味道。
而如果你已經來過臺北,
那更希望這篇文章,胖老闆誠意肉粥會不會太甜?
能帶你走進那些
你可能錯過、卻一直都在的日常小吃。
因為真正迷人的旅行,
從來不是把清單全部打勾,
而是某一天,
你突然想起那碗飯、那口湯、那杯甜,饌堂-黑金滷肉飯(雙連店)真的有誠意嗎?
然後在心裡對自己說一句:阿淑清蒸肉圓會不會膩?
「下次再去臺北,還想再吃一次。」
把這篇文章存起來、分享給一起旅行的人,
或是在規劃行程時,再回來看看。
讓味道,成為你認識臺北的方式。
下一次來臺北,
別急著走遠。
老臺北胃,頃刻間綠豆沙牛奶專賣店不排隊會可惜嗎?
會一直在這些地方,
等你再回來。
The COVID-19 strain in the United States and Europe during the first wave may have been highly infectious, possibly due to coughing being the most common initial symptom. COVID-19 may have spread faster in US because first symptom was cough. Study by USC researchers finds that the order of symptoms in the first wave of COVID-19 varied among virus strains. The strain of COVID-19 virus that was circulating in the United States and Europe during the first wave of the pandemic may have been particularly infectious because the most common first symptom was likely a cough, according to a study led by researchers from the USC Dornsife College of Letters, Arts and Science. The study suggests that people infected with what was the world’s most infectious strain of COVID-19 in May 2020, and the most dominant strain in the U.S. two months later, were likely to experience a cough as their first symptom, followed by fever. The research was conducted at the USC Michelson Center for Convergent Bioscience in the Convergent Science Institute in Cancer led by Peter Kuhn. The greater transmissibility of that variant — D614G — might be explained by infected individuals coughing and spreading the virus before they were incapacitated by fever. COVID-19 is most commonly spread through respiratory droplets, often amplified by a cough of symptomatic patients. Conversely, those infected with the COVID-19 variant during the initial outbreak in China, the Wuhan reference strain, probably experienced fever as their first symptom, followed by cough. Studying the likely order of symptoms, in addition to how the disease spreads, can inform additional research and health care about how people experience the disease. The study, which was published today (December 16, 2021) by PLOS Computational Biology, also noted that: In Japan, it’s likely a fever was the initial symptom when the Wuhan reference strain was dominant there. When the D614G variant supplanted it, a cough was likely the first symptom. This finding validates similar results from other geographical regions and supports the hypothesis that a cough occurs earlier in the D614G variant than the Wuhan reference strain. The predicted symptom order was not altered by region, weather, patient age, or comorbidity. The study did not answer the question of whether the order of symptoms found in the initial waves of the pandemic holds true for current variants. Expert Analysis “With the emergence of new variants and the likelihood COVID-19 becomes endemic in the population, it’s important that researchers continue to show how viral variants affect the progression of symptoms and disease in individuals and populations.” Peter Kuhn, a dean’s professor of biological sciences and professor of biological sciences, medicine, biomedical engineering and aerospace and mechanical engineering. “Studying the likely order of symptoms may increase our understanding of how disease spreads and further inform future research and health care on how individuals are likely to experience disease.” Joseph Larsen, graduate researcher at USC’s Convergent Science Institute of Cancer and doctoral candidate in USC Dornsife’s Quantitative and Computational Biology Department. Background The latest findings expand on research that Kuhn and his collaborators published in August 2020 that discovered the order of symptoms from the Wuhan reference strain. The discovery was based on a mathematical model using data from an outbreak in China in early 2020. Reference: “Modeling the onset of symptoms of COVID-19: Effects of SARS-CoV-2 variant” by Joseph R. Larsen, Margaret R. Martin, John D. Martin, James B. Hicks and Peter Kuhn, 16 December 2021, PLoS Computational Biology. DOI: 10.1371/journal.pcbi.1009629 About the study In addition to Kuhn and Larsen, study co-authors from USC Dornsife were James B. Hicks, professor (research) of biological sciences. Kuhn, Hicks and Larsen are also associated with the USC Michelson Center for Convergent Bioscience. Additional authors were Margaret Martin from Tufts University’s Department of Computer Science and John Martin at Materia Therapeutics. Funding support came from the Hsieh Family Foundation and the Kathy & Richard Leventhal Research Fund. Larsen also had support from USC Dornsife and the Schlegel Family Endowment Fellowship. About USC Dornsife The USC Dornsife College of Letters, Arts and Sciences is the oldest school at the University of Southern California and works across the natural sciences, social sciences and humanities, exploring fundamental questions about who we are, how the world works, and what we can do to improve and enrich society. About the USC Michelson Center The USC Michelson Center for Convergent Bioscience was created to accelerate discoveries from the bench to the bedside. The physical hub of this effort is Michelson Hall, a state-of-the-art research building housing cutting edge technology platforms and the nucleus of various research programs. The Michelson Center includes researchers from USC Dornsife, the USC Viterbi School of Engineering, the Keck School of Medicine of USC, as well as the USC School of Cinematic Arts and the Information Sciences Institute.
An AI-designed “parent” organism (C shape; red) beside stem cells that have been compressed into a ball (“offspring”; green). Credit: Douglas Blackiston and Sam Kriegman AI-designed Xenobots reveal entirely new form of biological self-replication—promising for regenerative medicine. To persist, life must reproduce. Over billions of years, organisms have evolved many ways of replicating, from budding plants to sexual animals to invading viruses. Now scientists have discovered an entirely new form of biological reproduction — and applied their discovery to create the first-ever, self-replicating living robots. The same team that built the first living robots (“Xenobots,” assembled from frog cells — reported in 2020) has discovered that these computer-designed and hand-assembled organisms can swim out into their tiny dish, find single cells, gather hundreds of them together, and assemble “baby” Xenobots inside their Pac-Man-shaped “mouth” — that, a few days later, become new Xenobots that look and move just like themselves. And then these new Xenobots can go out, find cells, and build copies of themselves. Again and again. “With the right design — they will spontaneously self-replicate,” says Joshua Bongard, a computer scientist and robotics expert at the University of Vermont who co-led the new research. The results of the new research were published November 29, 2021, in the Proceedings of the National Academy of Sciences. Into the Unknown In a Xenopus laevis frog, these embryonic cells would develop into skin. “They would be sitting on the outside of a tadpole, keeping out pathogens and redistributing mucus,” says Michael Levin, a professor of biology and director of the Allen Discovery Center at Tufts University and co-leader of the new research. “But we’re putting them into a novel context. We’re giving them a chance to reimagine their multicellularity.” And what they imagine is something far different than skin. “People have thought for quite a long time that we’ve worked out all the ways that life can reproduce or replicate. But this is something that’s never been observed before,” says co-author Douglas Blackiston, the senior scientist at Tufts University who assembled the Xenobot “parents” and developed the biological portion of the new study. “We’ve discovered that there is this previously unknown space within organisms, or living systems, and it’s a vast space.” Josh Bongard “This is profound,” says Levin. “These cells have the genome of a frog, but, freed from becoming tadpoles, they use their collective intelligence, a plasticity, to do something astounding.” In earlier experiments, the scientists were amazed that Xenobots could be designed to achieve simple tasks. Now they are stunned that these biological objects—a computer-designed collection of cells — will spontaneously replicate. “We have the full, unaltered frog genome,” says Levin, “but it gave no hint that these cells can work together on this new task,” of gathering and then compressing separated cells into working self-copies. “These are frog cells replicating in a way that is very different from how frogs do it. No animal or plant known to science replicates in this way,” says Sam Kriegman, the lead author on the new study, who completed his PhD in Bongard’s lab at UVM and is now a post-doctoral researcher at Tuft’s Allen Center and Harvard University’s Wyss Institute for Biologically Inspired Engineering. AI-designed (C-shaped) organisms push loose stem cells (white) into piles as they move through their environment. Credit: Douglas Blackiston and Sam Kriegman On its own, the Xenobot parent, made of some 3,000 cells, forms a sphere. “These can make children but then the system normally dies out after that. It’s very hard, actually, to get the system to keep reproducing,” says Kriegman. But with an artificial intelligence program working on the Deep Green supercomputer cluster at UVM’s Vermont Advanced Computing Core, an evolutionary algorithm was able to test billions of body shapes in simulation — triangles, squares, pyramids, starfish — to find ones that allowed the cells to be more effective at the motion-based “kinematic” replication reported in the new research. “We asked the supercomputer at UVM to figure out how to adjust the shape of the initial parents, and the AI came up with some strange designs after months of chugging away, including one that resembled Pac-Man,” says Kriegman. “It’s very non-intuitive. It looks very simple, but it’s not something a human engineer would come up with. Why one tiny mouth? Why not five? We sent the results to Doug and he built these Pac-Man-shaped parent Xenobots. Then those parents built children, who built grandchildren, who built great-grandchildren, who built great-great-grandchildren.” In other words, the right design greatly extended the number of generations. An AI-designed, Pac-Man-shaped “parent” organism (in red) beside stem cells that have been compressed into a ball—the “offspring” (green). Credit: Douglas Blackiston and Sam Kriegman Kinematic replication is well-known at the level of molecules — but it has never been observed before at the scale of whole cells or organisms. “We’ve discovered that there is this previously unknown space within organisms, or living systems, and it’s a vast space,” says Bongard, a professor in UVM’s College of Engineering and Mathematical Sciences. “How do we then go about exploring that space? We found Xenobots that walk. We found Xenobots that swim. And now, in this study, we’ve found Xenobots that kinematically replicate. What else is out there?” Or, as the scientists write in the Proceedings of the National Academy of Sciences study: “life harbors surprising behaviors just below the surface, waiting to be uncovered.” As Pac-man-shaped Xenobot “parents” move around their environment, they collect loose stem cells in their “mouths” that, over time, aggregate to create “offspring” Xenobots that develop to look just like their creators. Credit: Doug Blackiston and Sam Kriegman Responding to Risk Some people may find this exhilarating. Others may react with concern, or even terror, to the notion of a self-replicating biotechnology. For the team of scientists, the goal is deeper understanding. “We are working to understand this property: replication. The world and technologies are rapidly changing. It’s important, for society as a whole, that we study and understand how this works,” says Bongard. These millimeter-sized living machines, entirely contained in a laboratory, easily extinguished, and vetted by federal, state, and institutional ethics experts, “are not what keep me awake at night. What presents risk is the next pandemic; accelerating ecosystem damage from pollution; intensifying threats from climate change,” says UVM’s Bongard. “This is an ideal system in which to study self-replicating systems. We have a moral imperative to understand the conditions under which we can control it, direct it, douse it, exaggerate it.” Xenobots are an invention of and collaborative research effort by (from left): Josh Bongard, University of Vermont; Michael Levin, Tufts University and the Wyss Institute at Harvard University; Douglas Blackiston, Tufts University; and Sam Kriegman, Tufts University and the Wyss Institute at Harvard University. Credit: Tufts and ICDO Bongard points to the COVID epidemic and the hunt for a vaccine. “The speed at which we can produce solutions matters deeply. If we can develop technologies, learning from Xenobots, where we can quickly tell the AI,: ‘We need a biological tool that does X and Y and suppresses Z,’ —that could be very beneficial. Today, that takes an exceedingly long time.” The team aims to accelerate how quickly people can go from identifying a problem to generating solutions—”like deploying living machines to pull microplastics out of waterways or build new medicines,” Bongard says. “We need to create technological solutions that grow at the same rate as the challenges we face,” Bongard says. And the team sees promise in the research for advancements toward regenerative medicine. “If we knew how to tell collections of cells to do what we wanted them to do, ultimately, that’s regenerative medicine—that’s the solution to traumatic injury, birth defects, cancer, and aging,” says Levin. “All of these different problems are here because we don’t know how to predict and control what groups of cells are going to build. Xenobots are a new platform for teaching us.” Reference: “Kinematic self-replication in reconfigurable organisms” by Sam Kriegman, Douglas Blackiston, Michael Levin, and Josh Bongard, 29 November 2021, Proceedings of the National Academy of Sciences. DOI: 10.1073/pnas.2112672118
A novel method for producing the key vaccine ingredient QS-21 in tobacco plants has been developed, offering a sustainable alternative to traditional extraction from the soapbark tree and enhancing vaccine manufacturing. Credit: SciTechDaily.com Soap bark discovery offers a sustainability booster for the global vaccine market, opening unprecedented opportunities for bioengineering vaccine adjuvants. A valuable molecule sourced from the soapbark tree and used as a key ingredient in vaccines, has been replicated in an alternative plant host for the first time, opening unprecedented opportunities for the vaccine industry. A research collaboration led by the John Innes Centre used the recently published genome sequence of the Chilean soapbark tree (Quillaja saponaria) to track down and map the elusive genes and enzymes in the complicated sequence of steps needed to produce the molecule QS-21. By utilizing the soapbark tree’s genome, the researchers have opened up new possibilities for bioengineering vaccine adjuvants, potentially improving vaccine efficacy and reducing environmental impact. Advancing Vaccine Development Using transient expression techniques developed at the John Innes Centre, the team reconstituted the chemical pathway in a tobacco plant, demonstrating for the first time ‘free-from ‘tree’ production of this highly valued compound. Professor Anne Osbourn FRS, group leader at the John Innes Centre said: “Our study opens unprecedented opportunities for bioengineering vaccine adjuvants. We can now investigate and improve these compounds to promote the human immune response to vaccines and produce QS-21 in a way that does not depend on extraction from the soapbark tree.” Vaccine adjuvants are immunostimulants that prime the body’s response to the vaccine – and are a key ingredient of human vaccines for shingles, malaria, and others under development. Chilean soapbark trees. Credit: John Innes Centre Sustainable Solutions for Vaccine Ingredients QS-21, a potent adjuvant, is sourced directly from the bark of the soapbark tree, raising concerns about the environmental sustainability of its supply. For many years researchers and industrial partners have been looking for ways to produce the molecule in an alternative expression system such as yeast or tobacco plants. However, the complex structure of the molecule and lack of knowledge about its biochemical pathway in the tree have so far prevented this. Previously researchers in the group of Professor Osbourn had assembled the early part of the pathway that makes up the scaffold structure for QS-21. However, the search for the longer full pathway, the acyl chain which forms one crucial part of the molecule that stimulates immune cells, remained unfinished. Chilean Soapbark Tree – a source of QS-21 a valuable ingredient in vaccines. Credit: John Innes Centre In a new study that will be published today (January 26) in Nature Chemical Biology, researchers at the John Innes Centre used a range of gene discovery approaches to identify around 70 candidate genes and transferred them to tobacco plants. By analyzing gene expression patterns and products, supported by the Metabolomic and Nuclear Magnetic Resonance (NMR) platforms at the John Innes Centre, they were able to narrow the search down to the final 20 genes and enzymes that make up the QS-21 pathway. First author Dr Laetitia Martin said: “This is the first time QS-21 has been produced in a heterologous expression system. This means we can better understand how this molecule works and how we might address issues of scale and toxicity. “What is so rewarding is that this molecule is used in vaccines and by being able to make it more sustainably my project has an impact on people’s lives. It’s amazing to think that something so scientifically rewarding can bring such good to society.” “On a personal level, this research was scientifically extremely rewarding. I am not a chemist so I could not have done this without the support of the John Innes Centre metabolomics platform and chemistry platform.” The team has partnered with Plant Bioscience Limited PBL (Plant Bioscience Limited) Norwich Limited who are leading the commercialization of this project. Reference: “Complete biosynthesis of the potent vaccine adjuvant QS-21” by Laetitia B. B. Martin, Shingo Kikuchi, Martin Rejzek, Charlotte Owen, James Reed, Anastasia Orme, Rajesh C. Misra, Amr El-Demerdash, Lionel Hill, Hannah Hodgson, Yuzhong Liu, Jay D. Keasling, Robert A. Field, Andrew W. Truman and Anne Osbourn, 26 January 2024, Nature Chemical Biology. DOI: 10.1038/s41589-023-01538-5
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