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Volume 4, Issue 3 (Suppl)

Adv Crop Sci Tech

ISSN: 2329-8863 ACST, an open access journal

Page 36

Notes:

Plant Genomics 2016

July 14-15, 2016

conferenceseries

.com

July 14-15, 2016 Brisbane, Australia

4

th

International Conference on

Plant Genomics

Transcriptome analysis of

Lesquerella

: A potential industrial oilseed crop for hydroxy fatty acid

production

Grace Chen

United States Department of Agriculture-Agricultural Research Service, USA

S

eed oil of

Lesquerella

(

Physaria fendelri

) contains 55-60% hydroxy fatty acid (HFA) that has important industrial application. A

high throughput, large scale sequencing of transcripts from developing

Lesquerella

seeds was carried out by 454 pyrosequencing

to generate a database for quality improvement of seed oil and other agronomic traits. Deep mining and characterization of acyl

lipid genes were conducted to uncover candidate genes for further studies of mechanisms underlying HFA and seed oil synthesis. A

total of 651 mega bases of raw sequences from an mRNA sample of developing seeds were acquired. Bioinformatic analysis of these

sequences revealed 59,914 transcripts representing 26,995 unique genes that include nearly all known seed expressed genes. Based on

sequence similarity with known plant proteins, about 74% (19,861) genes matched with annotated coding genes. Among them, 95%

(18,868) showed highest sequence homology with

Arabidopsis

genes, which will allow translation of genomics and genetics findings

from

Arabidopsis

to

Lesquerella

. Using

Arabidopsis

acyl lipid genes as queries, we searched the transcriptome assembly and identified

615

Lesquerella

genes involved in all known pathways of acyl lipid metabolism. Further deep mining the transcriptome assembly led

to identification of almost all

Lesquerella

genes involved in fatty acid and triacylglycerol synthesis. Moreover, we characterized the

spatial and temporal expression profiles of 15 key genes using the quantitative PCR assay. The information obtained from data mining

and gene expression profiling will provide a resource not only for the study of HFA metabolism but also for the biotechnological

improvement of HFA production in

Lesquerella

.

Biography

Grace Chen has obtained her PhD from University of Wisconsin at Madison and did her Postdoctoral studies from University of California, Plant Gene Expression

Center. She has published more than 35 papers in reputed journals and she is globally recognized as an expert on oilseed biotechnology.

Grace.Chen@ARS.USDA.GOV

Grace Chen, Adv Crop Sci Tech 2016, 4:3 (Suppl)

http://dx.doi.org/10.4172/2329-8863.C1.002