TY - JOUR
T1 - Using genome and transcriptome analysis to elucidate biosynthetic pathways
AU - Wang, Ning
AU - Huo, Yi Xin
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/6
Y1 - 2022/6
N2 - With the rapid development of sequencing and multi-omics analysis technologies, the elucidation of the biosynthetic pathways become realistic for plant or microbial natural products. The arrangement of omics sample from product producing and non-producing species, tissues or growth phase is essential for obtaining differential expressed genes, which are the candidates for key pathway enzymes. Here, we summarize the process of data analysis, enumerate the grouping of genome and transcriptome samples in recent projects, and discuss the principle of designing omics samples. The challenges of identifying functional enzymes and the potential of machine learning in elucidating biosynthetic pathways are also discussed.
AB - With the rapid development of sequencing and multi-omics analysis technologies, the elucidation of the biosynthetic pathways become realistic for plant or microbial natural products. The arrangement of omics sample from product producing and non-producing species, tissues or growth phase is essential for obtaining differential expressed genes, which are the candidates for key pathway enzymes. Here, we summarize the process of data analysis, enumerate the grouping of genome and transcriptome samples in recent projects, and discuss the principle of designing omics samples. The challenges of identifying functional enzymes and the potential of machine learning in elucidating biosynthetic pathways are also discussed.
UR - http://www.scopus.com/inward/record.url?scp=85125960055&partnerID=8YFLogxK
U2 - 10.1016/j.copbio.2022.102708
DO - 10.1016/j.copbio.2022.102708
M3 - Review article
C2 - 35278747
AN - SCOPUS:85125960055
SN - 0958-1669
VL - 75
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
M1 - 102708
ER -