goda是什么品牌（goldlion是什么牌子）

近日，世界权威科研杂志《自然》（Nature）的一篇文章报道中，出现了“籼”和“粳”两个汉字，颇为瞩目。

文章报道 截图

3月10日，《自然》系列期刊Nature Portfolio刊发专题文章《塑造未来 —Omics for all》对中国基因组测序机构华大基因进行了特别报道。

On March 10, Nature Portfolio published an article entitled Shaping the Future of Omics for All, reporting the story of Chinese genome-sequencing organization BGI Genomics.

Nature Portfolio对华大基因的报道全文

文章报道了关于华大基因多年来在基因科技及生命科学领域的发展，介绍了华大基因在人类基因组计划、3000水稻基因组计划、多组学数据挖掘系统Dr. Tom等国际重大项目的研究成果。文中出现的 “籼”和“粳”两个汉字则是来自于此前华大基因科研人员参与的关于水稻基因组测序的研究论文。

The story reported BGI’s development in life sciences over the past few decades and the organization’s achievements in the Human Genome Project, the 3,000 Rice Genomes Project and data mining system Dr. Tom. The two Chinese characters of 籼 (Xian) and 粳 (Geng) in the report originated from a paper on rice genomes, which was co-published by BGI researchers.

2018年，华大基因和中国农业科学院、国际水稻研究所共同启动的 “全球3000份水稻核心种质资源重测序计划”的主文章发表在《自然》杂志上。

The “3,000 Rice Genomes Project”, jointly initiated by BGI Genomics, the Chinese Academy of Agricultural Sciences and the International Rice Research Institute, was published in Nature in 2018.

正是在这篇学术论文，使得“籼”和“粳”两个汉字以图片的形式插入到文章中，汉字首次被印刷在全英文杂志《自然》期刊上。

In this English language journal, the paper features the two Chinese characters of 籼 (Xian) and 粳 (Geng) in its graphics.

2018年发表在《自然》期刊上的3000份水稻研究计划论文 截图

据悉，在该论文发表之前，国际上均以“Indica（印度型）”和“Japonica（日本型）”来命名水稻。作为栽培稻种的最重要原产地之一，中国有着5000多年的水稻种植历史。所以，用 “Indica” 和 “Japonica” 两个单词来命名水稻的两个亚种，不能真实地反映籼稻和粳稻的亲缘关系、地理分布和起源演化过程。

It is reported that before the paper was published, international academia had used IndicaandJaponica, which are Indian and Japanese names for breeds of rice. However, as one of the most important origins of paddy rice, China has more than 5,000 years of cultivation. It is therefore incorrect to useIndicaandJaponica to name the rice subgroups ofXianandGengto represent the subgroups’ relationship, location, and evolution.

基于此，研究人员从水稻的历史起源向《自然》审稿人员进行了阐释，经过近两年的沟通讨论，《自然》不仅恢复了Xian和Geng的拼音命名系统，“籼”和“粳”两个汉字也最终加入这本全英文期刊中。

Based on this, researchers had to explain the history and origin of rice to the paper’s editors. After nearly two years of back and forth discussion, the names of rice subgroups were renewed to XianandGeng, and the Chinese characters were printed in Nature.

汉字首次出现在《自然》的文章中，不仅是全球顶尖学术期刊对中国稻作文化和科技实力的认可，也成为华大基因继2002年完成水稻基因组框架图的绘制和完善的水稻精细图之后，在水稻研究领域的又一个里程碑。

The debut of Chinese characters in Nature represents the recognition of Chinese rice culture and its scientific and technological strength by the world’s top academic journal. It is also a milestone for BGI in rice research after it completed the rice genome framework and fine mapping in 2002.

谈及水稻基因组研究成果，论文共同通讯作者、华大基因信息分析高级工程师太帅帅在本次《自然》杂志采访中提到，通过单核苷酸多态性分析（SNP），以及对基因组结构性变异（SV）的比较分析，支持了不同水稻谱系的多源假说。

Through single nucleotide polymorphisms (SNP) analysis, and the comparative analysis of the genomes of structural variation (SV), their work supports the multiple origin hypothesis of different rice lineages, said Tai Shuaishuai, BGI Genomics researcher specializing in agriculture genetics.

华大基因信息分析高级工程师太帅帅

对于2011年“全球3000份水稻核心种质资源重测序计划”正式启动到相关研究论文发布一事，太帅帅如今仍然感慨颇深：“10年前，我们克服的最大挑战之一是测序通量低，资源稀缺。为了完成水稻基因组的测序，华大基因充分发挥自身的测序能力。经过多年的创新，华大基因现有的测序能力比2010年代初提升了100倍以上。”

“One of the biggest challenges we overcame 10 years ago was the very low sequencing throughput, and scarce resources. In order to complete the sequencing of the rice genomes, BGI Genomics had to use all the sequencing capacity. But after years of innovation, sequencing power is now more than 100 times faster than in the early 2010s,” Tai said.

成立于1999年，华大基因是一家随着“人类基因组计划”诞生的企业。除了水稻基因的研究之外，作为一家自带“科研基因”的公司，华大的科研足迹遍布生命科学的各个领域。

Founded in 1999, BGI was launched to participate and contribute to the HGP. Apart from rice genomes, as a company with scientific research DNA, BGI has expanded its footprint to all fields of life sciences.

2021年，华大联合创始人兼董事长汪建参与了西太平洋马里亚纳海沟的科考作业，对生活在地表以下10公里的生物进行了采样。

In 2021, Wang Jian, BGI co-founder and chairman, was part of an expedition to the western Pacific Ocean, helping to sample organisms living 10 kilometers below the surface.

汪建谈道：“我们团队对诸如马里亚纳海沟生态环境科研计划的国际合作项目高度支持。”

“Our team is keen to support international collaborations, such as the Mariana Trench Environment and Ecology Research Project,” Wang said.

对于这趟“科考之旅”，汪建表示：“我们希望数字化基因信息能为有关生命起源、生物多样性以及极端环境适应等问题提供启发。”

“We hope that the digitized genetic materials will shed light on questions about the origin of life, biodiversity, and extreme environmental adaptation.”

用创新回答难题

探索生命的奥秘，用科技创新解决难题，是每一个科学家的愿景，也是华大基因多年来践行的初心和使命。

Exploring life and tackling difficulties with technological innovation is the vision of every scientist. It is also what BGI Genomics has been committed to for years.

2018年，华大科技技术总监唐冲博士带领科研团队研发的Dr. Tom多组学数据挖掘系统正式上线。

In 2018, BGI launched Dr. Tom, an advanced and intuitive data visualization system for efficient analysis and discovery. It was developed by a team led by Tang Chong, deputy director of research and development department at BGI Tech.

据介绍，Dr. Tom 多组学数据挖掘系统整合了多个国际常用的基因数据库和生物信息分析工具，没有相关经验的用户也能轻松完成生信分析。该系统能够个性化地帮助用户轻松完成从建库、测序到分析的工作，方便快捷地挖掘基因和蛋白数据价值，对数据进行可视化的分析和解读。

According to the company, Dr. Tom integrates international gene databases and bioinformatics tools, which helps inexperienced users to conduct the bioinformatics analysis. It provides users with tailor-made services from database construction, sequencing and analysis, helping to efficiently complete the data mining of genes and proteins, and data visualization analysis and interpretation.

凭借“交互式”“智能”的核心优势，该系统给多组学大数据的分析挖掘带来了极大的便利性，上线三年多以来，该系统已有来自全球20个国家和地区的用户。

With interactive and intelligent competitiveness, the system benefits the analysis of omics data. Over the past three years, it has been used by scientists and researchers from more than 20 countries and regions.

作为团队的主研人员，唐冲在《自然》杂志的采访中表示：“我们的可视化功能可以有效促进团队想法交流，促进沟通和协作。”

“Our visualization feature is meant to be interactive for idea exchange, encouraging communications and collaborations,” Tang said.

华大科技技术总监唐冲

“自从第二代测序的发展以来，对于普通计算机来说，处理海量的高通量测序数据仍是一个耗时耗力的事情，”唐冲说。“我们还在不断改进设计，过去需要一天时间来分析的基因数据，现在只需要一到两个小时。”

“Since the development of next-generation sequencing, processing the data produced is a time-consuming work for most computers,” Tang said. “We are still improving our design, but what used to take a day to quantify genetic data mining now only needs one to two hours.”

让科学走进生活

从参与国际科研项目到科技创新再到成果转化，华大基因一直致力于让生命科技普惠可及。

From participating in international science projects to technological innovation and the commercialization of scientific results, BGI Genomics is dedicated to making life science and technology affordable and accessible to the public.

2021年，华大基因与四川大学华西医院合作发起“十万例罕见病患者全基因组测序计划”，双方合作共同建设基因检测公共平台。

In 2021, BGI Genomics teamed up with the West China Hospital of Sichuan University to launch the project of sequencing 100,000 people with rare diseases, announcing it would co-build a genetic sequencing platform.

据悉，“十万例罕见病患者全基因组测序计划”项目计划在未来5年内完成中国十万例罕见病病人的样本测序，希望通过基因组测序和临床数据，建立罕见病的预警、诊断、治疗与疗效评价的生物标志物和靶标体系，形成精准防治方案，以惠及患者及家庭。

The project plans to complete the sequencing of 100,000 people with rare diseases within five years. It aims to establish biomarkers and targets for early detection, diagnosis, treatment and curative effect evaluation of rare diseases through genome sequencing and clinical data, and forming precise prevention and treatment schemes, which would benefit patients and families.

在中国，罕见病发病人群超过2000万。罕见病是指流行率很低、很少见的疾病，一般为慢性、严重性疾病，常危及生命。世界上有超过7000种罕见疾病，并以每年250种至280种的速度递增。据估算，全球受罕见病影响的人群有2.63亿至4.46亿人。

In China, there are more than 20 million people with rare diseases. Rare diseases are generally chronic, severe and often life-threatening. There are more than 7,000 rare diseases in the world, and the number is increasing at a rate of 250 to 280 per year. It is estimated that between 263 million and 446 million people suffer from rare diseases worldwide.