备注请放最後面 违者新闻文章删除 1.媒体来源: 外媒 phys.org 2.记者署名: Paul Arnold 3.完整新闻标题: DNA studies uncover a forgotten population at the top of the world DNA研究揭示了世界之巅一个被遗忘的人群 4.完整新闻内文: DNA studies uncover a forgotten population at the top of the world by Paul Arnold, Phys.org edited by Lisa Lock, reviewed by Robert Egan Scientists have uncovered an ancient population previously unknown to science in Ladakh, a high-altitude region in northern India. Their studies revealed individuals with a nearly perfect 50–50 mix of South Asian-related and Tibetan-related ancestry who lived approximately 1,500 years ago. Ancient DNA from South Asia is scarce, leaving significant gaps in our understanding of how the region's populations formed over time. This new discovery is based on an analysis of the remains of 10 individuals excavated from Old Lady Spider Cave, an archaeological site 4,000 meters (13,100 feet) above sea level, in 2021. It lies in a region that has long connected South Asia, Tibet and Central Asia through ancient trade routes. DNA研究揭示了世界之巅一个被遗忘的人群 作者：Paul Arnold，Phys.org 由丽莎·洛克 编辑 ，罗伯特·伊根审阅 科学家在印度北部高海拔地区拉达克发现了一个先前科学界未知的古代人群。他们的研究 表明，这些人拥有近乎完美的南亚和西藏血统，比例约为50:50，生活在大约1500年前。 南亚古代DNA资料稀少，导致我们对该地区人口随时间推移的形成过程知之甚少。这项新 发现是基於对2021年从海拔4000公尺（13100英尺）的「老妇蜘蛛洞」考古遗址中挖掘出 的10具遗骸的分析。该遗址位於一个长期以来透过古代贸易路线连接南亚、西藏和中亚的 地区。 Decoding the bones One of the first things the research team did was date the remains using radiocarbon dating. Then they extracted DNA from the bones and tissue and compared it with genome-wide genetic data from thousands of modern and ancient individuals to see which populations they most closely resembled. The findings are published in the journal Science Advances. The researchers discovered that the cave individuals shared a similar genetic profile that is extremely rare today. About half their ancestry was genetically similar to present-day North Indians, while the other half was closely linked to ancient Tibetans. Next, the scientists used mathematical models to probe deeper into the data, analyzing the size of the DNA fragments inherited from each population. 解读骨骼 研究团队首先利用放射性碳定年法测定了遗骸的年代。然後，他们从骨骼和组织中提取了 DNA，并将其与数千名现代人和古代人的全基因组遗传数据进行比较，以确定这些遗骸与 哪些人群最相似。这项研究结果发表在《科学进展》（Science Advances）杂志上。 研究人员发现，这些洞穴居民拥有如今极为罕见的相似基因组成。他们大约一半的祖先基 因与现代北印度人相似，而另一半则与古代藏族人密切相关。 接下来，科学家利用数学模型对数据进行更深入的探究，分析了从每个群体继承的 DNA 片段的大小。 When different groups mix, their chunks of DNA get chopped up into smaller pieces with every new generation. By measuring the sizes of these South Asian and Tibetan DNA fragments, the models could estimate when the two populations first mixed. The results showed that this blending process began around 2,800 years ago, roughly 1,300 years before the cave individuals lived. "Our results do not imply that the detected admixture took place in Ladakh," the study authors commented in their paper. 当不同人群混合时，他们的DNA片段会随着每一代的更迭而被切割成更小的片段。透过测 量这些南亚和西藏DNA片段的大小，模型可以估算出这两个族群首次混合的时间。 研究结果表明，这种混血过程大约始於2800年前，比洞穴居民的居住年代早约1300年。 「我们的研究结果并不意味着检测到的混血发生在拉达克地区，」研究作者在论文中评论 道。 A lost population leaves a legacy While the findings suggest a previously unknown population, little is known about them beyond what can be gleaned from their DNA. But the DNA also shows that this ancient group didn't vanish. The researchers found evidence that they contributed ancestry to present-day Himalayan populations, including the Minero and Balti people of Ladakh. "The Old Ladakh population did not completely disappear and instead left a legacy in present-day people." 人口的消失会留下遗产 虽然研究结果揭示了一个此前未知的族群，但除了从他们的DNA中获得的资讯外，人们对 他们知之甚少。不过，DNA也表明，这个古老的族群并没有消失。研究人员发现，他们的 祖先构成了当今喜马拉雅山脉居民的血统，其中包括拉达克的米内罗人和巴尔蒂人。 “古拉达克人口并没有完全消失，而是给现代人留下了遗产。” 5.完整新闻连结 (或短网址)不可用YAHOO、LINE、MSN等转载媒体: https://phys.org/news/2026-07-dna-uncover-forgotten-population-world.html 6.备注: 纳粹当年一直在找的纯种亚特兰提斯遗族终於挖出来了 https://i.urusai.cc/S3KFW.jpg https://youtu.be/FBQZaEyFrP8?si=IpQ94LnUpLJxnTmF&t=1165 -- https://www.youtube.com/watch?v=m-QXmqX7k8Q 刘德华 悟 电影【新少林寺】主题曲 https://youtu.be/dLRLWy7bKS4 作曲：赵钦 作词：刘德华 《金刚总持祈请文》 编曲：Adam Lee．饰坠．陈德建 蒋巴桑波 (第七世噶玛巴确扎嘉措之根本上师) 着 监制：陈德建．李安修 不要把金王冠织入鸟巢中 招惹微风与猎枪是不明智的 依常断见所立宗 能坏慧命因缘法 精勤十善一夜尽 纵生天人多阐提 --

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