Related Experiment Video
Updated: May 13, 2025
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Transcriptome sample statistics for the sugar beet root maggot (Tetanops myopaeformis) infecting sugar beet
Sudha Acharya1, Nadim W Alkharouf1, Muhammad Massub Tehseen2,3
1Department of Computer and Information Sciences, Towson University, Towson, MD, 21252, USA.
Abstract:
The sugar beet root maggot (SBRM), Tetanops myopaeformis (von Röder) insect pathogen devastates sugar beet (SB), Beta vulgaris ssp, vulgaris (B. vulgaris), one of only two plants from which significant global raw sugar is produced, $1B, U.S., $4.6 B, globally. Larval SBRMs experiencing F1010 and L19 susceptible or F1016 and F1024 resistant SB responses are RNA sequenced, sampled at time = 0 hours post infection [hpi], 24, 48 and 72 hpi. Transcriptomic analyses determined the number of reads per sample, mapped the transcripts to the recently sequenced SBRM TmSBRM_v1.0 draft genome and identified genes that relate to the resistant and susceptible responses. The RNA-seq study provides data for generating differential expression analyses, yielding an understanding SBRM biology, control strategy development, relationship to model and non-model organisms and aiding sugar beet improvement for stakeholders.
