Mixotrophic growth of a ubiquitous marine diatom

Author:

Kumar Manish1ORCID,Tibocha-Bonilla Juan D.2,Füssy Zoltán3ORCID,Lieng Chloe1ORCID,Schwenck Sarah M.4ORCID,Levesque Alice V.4ORCID,Al-Bassam Mahmoud M.1,Passi Anurag1ORCID,Neal Maxwell5,Zuniga Cristal1ORCID,Kaiyom Farrah1ORCID,Espinoza Josh L.6ORCID,Lim Hyungyu5ORCID,Polson Shawn W.78ORCID,Allen Lisa Zeigler46,Zengler Karsten15910ORCID

Affiliation:

1. Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

2. Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

3. Department of Parasitology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic.

4. Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

5. Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

6. Department of Microbial and Environmental Genomics, J. Craig Venter Institute, 4120 Capricorn Way, La Jolla, CA 92037, USA.

7. Department of Computer and Information Sciences, University of Delaware, 18 Amstel Ave., Newark, DE 19716, USA.

8. Center for Bioinformatics and Computational Biology, University of Delaware, 590 Avenue 1743, Newark, DE 19713, USA.

9. Center for Microbiome Innovation, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

10. Program in Materials Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

Abstract

Diatoms are major players in the global carbon cycle, and their metabolism is affected by ocean conditions. Understanding the impact of changing inorganic nutrients in the oceans on diatoms is crucial, given the changes in global carbon dioxide levels. Here, we present a genome-scale metabolic model ( i MK1961) for Cylindrotheca closterium , an in silico resource to understand uncharacterized metabolic functions in this ubiquitous diatom. i MK1961 represents the largest diatom metabolic model to date, comprising 1961 open reading frames and 6718 reactions. With i MK1961, we identified the metabolic response signature to cope with drastic changes in growth conditions. Comparing model predictions with Tara Oceans transcriptomics data unraveled C. closterium ’s metabolism in situ. Unexpectedly, the diatom only grows photoautotrophically in 21% of the sunlit ocean samples, while the majority of the samples indicate a mixotrophic (71%) or, in some cases, even a heterotrophic (8%) lifestyle in the light. Our findings highlight C. closterium’ s metabolic flexibility and its potential role in global carbon cycling.

Publisher

American Association for the Advancement of Science (AAAS)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3