Anne Jaczkowski, Arne Bültemeier, Benedikt Seligmann, Boas Pucker, Jakob Franke
{"title":"Emerging technologies for the discovery of biosynthetic genes in plants.","authors":"Anne Jaczkowski, Arne Bültemeier, Benedikt Seligmann, Boas Pucker, Jakob Franke","doi":"10.1039/d6np00011h","DOIUrl":null,"url":null,"abstract":"<p><p>Covering 1982 to 2026Some of the most prominent natural products originate from plants. Discovering their biosynthetic genes has been a slow process. In contrast to microbial systems, co-expression analysis rather than genome mining has been the main strategy to elucidate biosynthetic pathways in plants. However, traditional co-expression analyses are limited in efficiency and often not as successful as desired. In this review, we describe emerging technologies to improve or replace traditional co-expression analyses, for example based on genome or protein data. Furthermore, we critically discuss the current state and impact of artificial intelligence and machine learning in the field. Our review will help to select the most efficient approaches for elucidation of biosynthetic pathways in plants for future work. Additionally, we highlight areas that require further methodological improvements to guide future research.</p>","PeriodicalId":94,"journal":{"name":"Natural Product Reports","volume":" ","pages":""},"PeriodicalIF":12.5000,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Product Reports","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d6np00011h","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Covering 1982 to 2026Some of the most prominent natural products originate from plants. Discovering their biosynthetic genes has been a slow process. In contrast to microbial systems, co-expression analysis rather than genome mining has been the main strategy to elucidate biosynthetic pathways in plants. However, traditional co-expression analyses are limited in efficiency and often not as successful as desired. In this review, we describe emerging technologies to improve or replace traditional co-expression analyses, for example based on genome or protein data. Furthermore, we critically discuss the current state and impact of artificial intelligence and machine learning in the field. Our review will help to select the most efficient approaches for elucidation of biosynthetic pathways in plants for future work. Additionally, we highlight areas that require further methodological improvements to guide future research.
期刊介绍：
Natural Product Reports (NPR) serves as a pivotal critical review journal propelling advancements in all facets of natural products research, encompassing isolation, structural and stereochemical determination, biosynthesis, biological activity, and synthesis.
With a broad scope, NPR extends its influence into the wider bioinorganic, bioorganic, and chemical biology communities. Covering areas such as enzymology, nucleic acids, genetics, chemical ecology, carbohydrates, primary and secondary metabolism, and analytical techniques, the journal provides insightful articles focusing on key developments shaping the field, rather than offering exhaustive overviews of all results.
NPR encourages authors to infuse their perspectives on developments, trends, and future directions, fostering a dynamic exchange of ideas within the natural products research community.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
