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A de novo assembly of genomic dataset sequences of the sugar beet root maggot Tetanops myopaeformis, TmSBRM_v1.0

Nadim W. Alk harouf1, Chenggen Chu², Vincint P. Klink³

1Department of Computer and Information Sciences, Towson University, Towson, MD 21252, USA.
2USDA-ARS-NA- Northern Great Plains Research Laboratory, 1307 N 18TH ST Northern Crop Science Laboratory,
Fargo, ND 58102, USA. 3USDA-ARS-NEA-BARC, Molecular Plant Pathology Laboratory, Building 004, Room 122,
BARC-West, 10300 Baltimore Ave., Beltsville, MD 20705, USA.

Corresponding Author(s): Vincent P. Klink ([email protected] )

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Abstract

The sugar beet root maggot (SBRM), Tetanops myopaeformis
(von Röder), is a devastating insect pathogen of
sugar beet (SB), Beta vulgaris, ssp vulgaris (B. vulgaris),
an important food crop, while also being one of only two
plants globally from which sugar is widely produced, and
accounting for 35% of global raw sugar with an annual
farm value of $3 billion in the United States alone. SBRM
is the most devastating pathogen of sugar beet in North
America. The limited natural resistance of B. vulgaris necessitates
an understanding of the SBRM genome to facilitate
generating knowledge of its basic biology, including
the interaction between the pathogen and its host(s). Presented
is the de novo assembled draft genome sequence of
T. myopaeformis isolated from field-grown B. vulgaris in
North Dakota, USA. The SBRM genome sequence TmSBRM_
v1.0 will also be valuable for molecular genetic
marker development to facilitate host resistance gene identification
and knowledge, including SB polygalacturonase
inhibiting protein (PGIP), and development of new control
strategies for this pathogen, relationship to model genetic
organisms like Drosophila melanogaster and aid in agronomic
improvement of sugar beet for stakeholders while
also providing information on the relationship between the
SBRM and climate change.

Author: Alkharhouf et al.                                                                                                                                                                                        Publication: Data in Brief
Publisher: Elsevier Inc
Date: 6 March 2024
Copyright: ©2025

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