Skip to main content
Bioinformation logoLink to Bioinformation
. 2024 Dec 31;20(12):1881–1885. doi: 10.6026/9732063002001881

Transcriptome sample statistics for the sugar beet root maggot (Tetanops myopaeformis) infecting sugar beet

Sudha Acharya 1,*, Nadim W Alkharouf 1,*, Muhammad Massub Tehseen 2,3,*, Chenggen Chu 2,*, Vincent P Klink 4,*
PMCID: PMC11993398  PMID: 40230950

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.

Keywords: Sugar beet root maggot, Tetanops myopaeformis, sugar beet, Beta vulgaris, transcriptome, resistant, susceptible, RNA-seq

Background:

The fully referenced version of this work is available [1]. Beta vulgaris ssp, vulgaris (B. vulgaris), sugar beet (SB), Order Carophyllales, Family Amaranthaceae, is one of two plants, globally, from which sugar is widely produced with a worldwide value of $4.6 B and $1 B U.S., harvested from 1.14 million acres of land [2]. Upon U.S. introduction, SB was encountered by the native insect pathogen T. myopaeformis (SBRM) on which it can complete its life cycle and while it can complete its life cycle on other non-native plant species, the native SBRM host has not yet been identified [3, 4]. SBRM is the most devastating SB pathogen in North America where it can decrease yield by up to 100%, locally and of further concern is its increasing geographic spread [1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17-18]. Transcriptomic knowledge has facilitated the pathogenic nature of other insects [1]. In the presented analysis, larval SBRMs experiencing F1010 and L19 susceptible or F1016 and F1024 resistant SB responses are RNA sequenced, sampled at time = 0, 24, 48 and 72 hpi, for scientific study of its pathogenicity and stakeholder benefit [19].

Materials and Methods:

Plant infection:

SBRM larvae were collected in mid-June 2022 from a field location close to St. Thomas, ND. After cleaning all larvae using 1% Clorox Germicidal Bleach, the 1- and 2-instar larvae were used for root infestation of B. vulgaris F1016 (PI 608437) and F1024 (PI 658654) that are resistant and F1010 (PI 535818) and L19 (PI 590690) that are susceptible genotypes [1, 20, 21-22]. The infestation experiment included three replications for each genotype with three plants infested in each replication. For preparing roots for infestation, seeds were germinated using 1% hydrogen peroxide solution [23] and germinated seeds were planted in a greenhouse room under 16:8 (day: night) light regime with temperature range between 20-30°C. Roots were collected 4 weeks after planting. After being cleaned to remove the soil, three roots of each genotype as one replication were placed on a 15 cm x 10 cm, 0.8% agar plate [24]. Subsequently, fifteen 1- or 2-instar larvae were added to each plate with 5 larvae per root. All plates were then kept in dark at 28°C. Root and insect samples were collected at 0 hpi (right before infestation) and subsequently at 24, 48 and 72 hpi. All samples were immediately flash frozen into liquid nitrogen and then stored at -80°C before RNA isolation and subsequent RNA-seq data generation.

RNA isolation:

Flash-frozen SBRM larval samples were sent to Omega Bioservices Inc., 400 Pinnacle Way, Ste 425, Norcross, GA 30071 for RNA isolation, quality assurance and RNA sequencing according to Alsherhi et al. [25]. In brief, the RNA isolation implemented a well-established protocol for RNA isolation and library preparation to achieve high-quality sequencing data. The Omega Biotek E.Z.N.A. ® Total RNA Kit (Omega Bio-tek) was used to extract total RNA from the samples, following the manufacturer's protocol. The concentration and integrity of the RNA were assessed using a Nanodrop 2000c spectrophotometer (Thermo Scientific Inc.) and an Agilent 4150 TapeStation instrument (Agilent Technologies), respectively.

RNA library preparation:

For library generation, up to 1 mg of total RNA was used according to the manufacturer's instructions for the NEBNext® Poly(A) mRNA Magnetic Isolation Module E7490L and NEBNext® UltraTM II Directional RNA Library Prep Kit for Illumina® E7760L (New England Biolabs Inc.). Quality and quantity evaluation of the libraries were conducted using the High Sensitivity D1000 Screen Tape on an Agilent 4150 TapeStation instrument. Subsequently, the libraries underwent normalization, pooling and were sequenced with Illumina Novaseq X Plus instrument (Illumina, Inc.) following the manufacturer's recommendations.

RNA-seq data processing:

For the study presented here, the RNA-seq data analysis process used Geneious prime (https://www.geneious.com/), version 2024.0 with the steps of that pipeline detailed at https://www.geneious.com/series/expression-analysis. The analysis process presented here involved sequence trimming, alignment and counting. Trimming was used to increase the read's mapping rate by eliminating adapter sequences and removing poor-quality nucleotides. The alignment was performed to the SBRM TmSBRM_v1.0 draft genome. After mapping the reads, they were assigned to a gene or transcript in a process known as counting or quantification. This step was followed by a normalization procedure employed to remove possible sequencing bias.

Results:

RNA-seq data processing:

The SBRM-susceptible L19 and F1010 and SBRM-resistant F1016 and F1024 B. vulgaris genotypes have been obtained. The genotypes were used in experiments that isolated SBRM larval RNA. The SBRM larval RNA was used for RNA seq experiments. The experimental pipeline is presented (Figure 1). The RNA seq sample statistics are presented (Table 1).

Figure 1.

Figure 1

Experimental Pipeline

Table 1. Transcriptome statistics.

Sample NO. SBRM use SB genotype Outcome Time point Total processed reads Assembled (Used reads) % Assembled Unassembled % Unassembled
1 SBRM control no SB* n/a 0 hpi 41,366,384 29,614,682 71.59117896 11,751,702 28.40882104
2 SBRM control no SB* n/a 0 hpi 45,730,450 32,709,379 71.52647525 13,021,071 28.47352475
3 SBRM control no SB* n/a 0 hpi 38,753,604 27,516,689 71.00420647 11,236,915 28.99579353
4 SBRM infested F1024 resistant 24 hpi 44,942,632 32,898,251 73.20054375 12,044,381 26.79945625
5 SBRM infested F1024 resistant 24 hpi 43,740,534 31,705,744 72.48595548 12,034,790 27.51404452
6 SBRM infested F1024 resistant 24 hpi 41,578,980 29,385,047 70.67284238 12,193,933 29.32715762
7 SBRM infested F1016 resistant 24 hpi 42,906,878 30,892,119 71.99805821 12,014,759 28.00194179
8 SBRM infested F1016 resistant 24 hpi 45,633,030 33,527,362 73.47169802 12,105,668 26.52830198
9 SBRM infested F1016 resistant 24 hpi 37,947,020 27,188,332 71.64813469 10,758,688 28.35186531
10 SBRM infested F1010 susceptible 24 hpi 45,366,574 32,685,868 72.04834996 12,680,706 27.95165004
11 SBRM infested F1010 susceptible 24 hpi 39,166,906 27,856,471 71.12247008 11,310,435 28.87752992
12 SBRM infested F1010 susceptible 24 hpi 39,703,208 28,549,398 71.90703079 11,153,810 28.09296921
13 SBRM infested L19 susceptible 24 hpi 38,527,460 27,743,031 72.00846098 10,784,429 27.99153902
14 SBRM infested L19 susceptible 24 hpi 39,363,640 28,339,559 71.99425409 11,024,081 28.00574591
15 SBRM infested L19 susceptible 24 hpi 46,319,624 33,639,849 72.62547943 12,679,775 27.37452057
16 SBRM infested F1024 resistant 48 hpi 41,549,788 28,818,653 69.35932621 12,731,135 30.64067379
17 SBRM infested F1024 resistant 48 hpi 40,742,024 28,661,525 70.34880005 12,080,499 29.65119995
18 SBRM infested F1024 resistant 48 hpi 45,219,784 32,076,880 70.93550027 13,142,904 29.06449973
19 SBRM infested F1016 resistant 48 hpi 38,964,178 27,309,685 70.08921117 11,654,493 29.91078883
20 SBRM infested F1016 resistant 48 hpi 40,442,336 29,203,809 72.21098455 11,238,527 27.78901545
21 SBRM infested F1016 resistant 48 hpi 39,566,764 29,027,903 73.36435954 10,538,861 26.63564046
22 SBRM infested F1010 susceptible 48 hpi 42,317,332 30,013,792 70.92552999 12,303,540 29.07447001
23 SBRM infested F1010 susceptible 48 hpi 43,407,312 30,678,669 70.67626993 12,728,643 29.32373007
24 SBRM infested F1010 susceptible 48 hpi 42,600,156 29,429,372 69.08277988 13,170,784 30.91722012
25 SBRM infested L19 susceptible 48 hpi 41,129,322 29,218,917 71.04157224 11,910,405 28.95842776
26 SBRM infested L19 susceptible 48 hpi 38,589,096 27,004,810 69.98041623 11,584,286 30.01958377
27 SBRM infested L19 susceptible 48 hpi 41,630,316 29,920,707 71.87239943 11,709,609 28.12760057
28 SBRM infested F1024 resistant 72 hpi 43,111,724 29,379,202 68.1466647 13,732,522 31.8533353
29 SBRM infested F1024 resistant 72 hpi 41,201,980 28,859,219 70.0432819 12,342,761 29.9567181
30 SBRM infested F1024 resistant 72 hpi 39,162,290 27,308,993 69.73288079 11,853,297 30.26711921
31 SBRM infested F1016 resistant 72 hpi 40,314,630 28,519,330 70.741887 11,795,300 29.258113
32 SBRM infested F1016 resistant 72 hpi 42,578,254 29,420,002 69.09630912 13,158,252 30.90369088
33 SBRM infested F1016 resistant 72 hpi 42,440,440 28,561,396 67.29759635 13,879,044 32.70240365
34 SBRM infested F1010 susceptible 72 hpi 44,288,560 29,460,791 66.52009232 14,827,769 33.47990768
35 SBRM infested F1010 susceptible 72 hpi 44,569,173 29,849,449 66.97330686 14,719,724 33.02669314
36 SBRM infested F1010 susceptible 72 hpi 39,120,669 25,883,749 66.16387107 13,236,920 33.83612893
37 SBRM infested L19 susceptible 72 hpi 40,681,422 28,238,881 69.41468516 12,442,541 30.58531484
38 SBRM infested L19 susceptible 72 hpi 41,919,080 28,609,391 68.24909087 13,309,689 31.75090913
39 SBRM infested L19 susceptible 72 hpi 38,559,366 27,700,699 71.83909352 10,858,667 28.16090648

The SBRM-susceptible L19 and F1010 and SBRM-resistant F1016 and F1024 B. vulgaris genotypes are shown. The respective compatible and incompatible SBRM are encircled by a blue or red ring. At t = 0 hpi, the SBRM were collected before any introduction to B. vulgaris. Thus, the SBRM are shown to not be closely associated with B. vulgaris. SBRM are subsequently shown to be in direct contact with B. vulgaris at the t = 24, 48 and 72 hpi time points. The samples were collected for transcriptomic study that involved RNA isolation, sequencing and analysis. The experimental pipeline is presented (Figure 1). The RNA-seq analysis has resulted in acquiring data for each of the 39 samples (Table 1). The reads have then been mapped to the recently sequenced SBRM TmSBRM_v1.0 draft genome. This analysis has allowed for the generation of a general assessment of gene activity on the SBRM TmSBRM_v1.0 draft genome, aided by its annotation.

Discussion:

The RNA-seq analysis has identified a range in total processed reads per sample of 37,947,020 to 46,319,624 in total assembled (used) reads per sample of 25,883,749 (66.16%) to 29,385,047 (70.67%) and a range in total unassembled reads per sample of 10,538,861 (26.64%) to 12,303,540 (29.07%). The range in average used reads per time point was 23,246 (L19 resistant, 24 hpi) to 24,525 (F1010 resistant, 72 hpi), 5.22% therefore, the sample read quantity is similar between the different samples. From these data, further processing is possible, with the advancement of science being that the research allows for an idea of differential expression of genes during the susceptible and resistant reactions, the identification of genes, gene pathways and biological processes which may or may not fall under gene pathways to be identified, scientists to devise management, control and biological assays for SBRM much in the same way that has been done for other devastating agricultural pathogens [26, 27- 28]. A preprint outlining the framework of this manuscript and more details relating to the introduction are presented [1].

Conclusion:

Transcriptomes have been generated for larval SBRMs experiencing F1010 and L19 susceptible or F1016 and F1024 resistant SB responses, sampled at time = 0 hours post infection [hpi], 24, 48 and 72 hpi. RNA sequences are identified that map or do not map to the reference genome. The sequences are a resource to understand SBRM biology during susceptible and resistant reactions for stakeholder benefit.

Ethics statement:

The authors have read and follow the ethical requirements for publication in Bioinformation and confirming that the current work does not involve human subjects, animal experiments, or any data collected from social media platforms.

Author credit statement:

[1] SA has been involved in Methodology; Software; Validation; Formal analysis; Investigation; Resources; Data Curation; Writing - Original Draft.

[2] NA has been involved in Methodology; Software; Validation; Formal analysis; Investigation; Resources; Data Curation; Writing - Original Draft.

[3] MT has been involved in Investigation; Resources.

[4] CC has been involved in Investigation; Resources, Supervision; Project administration; Funding acquisition.

[5] VK has been involved in Conceptualization; Methodology; Resources; Visualization; Supervision; Project administration; Funding acquisition; Writing - Original Draft.

Declaration of competing interests:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was supported by the USDA-ARS NP 8042-21220-262-000D project to VK and USDA-ARS NP 3060-21000-045-000D to CC. The mention of trade names or commercial products in this publication was solely for the purpose of providing specific information and does not imply recommendation or endorsement by the United States Department of Agriculture. USDA is an equal opportunity provider and employer.

Edited by P Kangueane

Citation: Acharya et al. Bioinformation 20(12):1881-1885(2024)

Declaration on Publication Ethics: The author's state that they adhere with COPE guidelines on publishing ethics as described elsewhere at https://publicationethics.org/. The authors also undertake that they are not associated with any other third party (governmental or non-governmental agencies) linking with any form of unethical issues connecting to this publication. The authors also declare that they are not withholding any information that is misleading to the publisher in regard to this article.

Declaration on official E-mail: The corresponding author declares that official e-mail from their institution is not available for all authors.

License statement: This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License

Comments from readers: Articles published in BIOINFORMATION are open for relevant post publication comments and criticisms, which will be published immediately linking to the original article without open access charges. Comments should be concise, coherent and critical in less than 1000 words.

Bioinformation Impact Factor:Impact Factor (Clarivate Inc 2023 release) for BIOINFORMATION is 1.9 with 2,198 citations from 2020 to 2022 taken for IF calculations.

Disclaimer:The views and opinions expressed are those of the author(s) and do not reflect the views or opinions of Bioinformation and (or) its publisher Biomedical Informatics. Biomedical Informatics remains neutral and allows authors to specify their address and affiliation details including territory where required. Bioinformation provides a platform for scholarly communication of data and information to create knowledge in the Biological/Biomedical domain.

References


Articles from Bioinformation are provided here courtesy of Biomedical Informatics Publishing Group

RESOURCES