Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1-16 |
| Journal | Frontiers in Microbiology |
| Volume | 5 |
| DOIs | |
| Publication status | Published - 2015 |
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Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi. / Cacho, R.A.; Tang, Y.; Chooi, Heng.
In: Frontiers in Microbiology, Vol. 5, 2015, p. 1-16.Research output: Contribution to journal › Article
TY - JOUR
T1 - Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi
AU - Cacho, R.A.
AU - Tang, Y.
AU - Chooi, Heng
PY - 2015
Y1 - 2015
N2 - © 2015 Cacho, Tang and Chooi. Genomics has revolutionized the research on fungal secondary metabolite (SM) biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific SM compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS) technologies have further improved the speed and reduced the cost of microbial genome sequencing in the past few years, which has accelerated the research in this field. Here, we will present an example work flow for identifying the gene cluster encoding the biosynthesis of SMs of interest using an NGS approach. We will also review the different strategies that can be employed to pinpoint the targeted gene clusters rapidly by giving several examples stemming from our work.
AB - © 2015 Cacho, Tang and Chooi. Genomics has revolutionized the research on fungal secondary metabolite (SM) biosynthesis. To elucidate the molecular and enzymatic mechanisms underlying the biosynthesis of a specific SM compound, the important first step is often to find the genes that responsible for its synthesis. The accessibility to fungal genome sequences allows the bypass of the cumbersome traditional library construction and screening approach. The advance in next-generation sequencing (NGS) technologies have further improved the speed and reduced the cost of microbial genome sequencing in the past few years, which has accelerated the research in this field. Here, we will present an example work flow for identifying the gene cluster encoding the biosynthesis of SMs of interest using an NGS approach. We will also review the different strategies that can be employed to pinpoint the targeted gene clusters rapidly by giving several examples stemming from our work.
U2 - 10.3389/fmicb.2014.00774
DO - 10.3389/fmicb.2014.00774
M3 - Article
VL - 5
SP - 1
EP - 16
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
SN - 1664-302X
ER -