scholarly journals A customised target capture sequencing tool for molecular identification of Aloe vera and relatives

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yannick Woudstra ◽  
Juan Viruel ◽  
Martin Fritzsche ◽  
Thomas Bleazard ◽  
Ryan Mate ◽  
...  

AbstractPlant molecular identification studies have, until recently, been limited to the use of highly conserved markers from plastid and other organellar genomes, compromising resolution in highly diverse plant clades. Due to their higher evolutionary rates and reduced paralogy, low-copy nuclear genes overcome this limitation but are difficult to sequence with conventional methods and require high-quality input DNA. Aloe vera and its relatives in the Alooideae clade (Asphodelaceae, subfamily Asphodeloideae) are of economic interest for food and health products and have horticultural value. However, pressing conservation issues are increasing the need for a molecular identification tool to regulate the trade. With > 600 species and an origin of ± 15 million years ago, this predominantly African succulent plant clade is a diverse and taxonomically complex group for which low-copy nuclear genes would be desirable for accurate species discrimination. Unfortunately, with an average genome size of 16.76 pg, obtaining high coverage sequencing data for these genes would be prohibitively costly and computationally demanding. We used newly generated transcriptome data to design a customised RNA-bait panel targeting 189 low-copy nuclear genes in Alooideae. We demonstrate its efficacy in obtaining high-coverage sequence data for the target loci on Illumina sequencing platforms, including degraded DNA samples from museum specimens, with considerably improved phylogenetic resolution. This customised target capture sequencing protocol has the potential to confidently indicate phylogenetic relationships of Aloe vera and related species, as well as aid molecular identification applications.

2021 ◽  
Author(s):  
Yannick Woudstra ◽  
Juan Viruel ◽  
Martin Fritzsche ◽  
Thomas Bleazard ◽  
Ryan Mate ◽  
...  

Abstract Plant molecular identification studies have, until recently, been limited to the use of highly conserved markers from plastid and other organellar genomes, compromising resolution in highly diverse plant clades. Due to their higher evolutionary rates and reduced paralogy, low-copy nuclear genes overcome this limitation but are difficult to sequence with conventional methods and require high-quality input DNA. Aloe vera and its relatives (Asphodelaceae, subfamily Alooideae) are of economic interest for food and health products and have horticultural value. However, pressing conservation issues are increasing the need for a molecular identification tool to regulate the trade. With >600 species and an origin of ±15 million years ago, this predominantly African succulent plant clade is a diverse and taxonomically complex group for which low-copy nuclear genes would be desirable for accurate species discrimination. Unfortunately, with an average genome size of 16.76 pg, obtaining high coverage sequencing data for these genes would be prohibitively costly and computationally demanding. We used newly generated transcriptome data to design a customised RNA-bait panel targeting 189 low-copy nuclear genes in Alooideae. We demonstrate its efficacy in obtaining high-coverage sequence data for the target loci on Illumina sequencing platforms, including degraded DNA samples from museum specimens, with considerably improved phylogenetic resolution. This customised target capture sequencing protocol has the potential to confidently indicate phylogenetic relationships of Aloe vera and related species, as well as aid molecular identification applications.


2020 ◽  
Vol 92 (10) ◽  
pp. 2221-2226 ◽  
Author(s):  
Shaoqing Wen ◽  
Chang Sun ◽  
Huanying Zheng ◽  
Lingxiang Wang ◽  
Huan Zhang ◽  
...  

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Rebecca C Poulos ◽  
Dilmi Perera ◽  
Deborah Packham ◽  
Anushi Shah ◽  
Caroline Janitz ◽  
...  

Abstract Background Genetic testing of cancer samples primarily focuses on protein-coding regions, despite most mutations arising in noncoding DNA. Noncoding mutations can be pathogenic if they disrupt gene regulation, but the benefits of assessing promoter mutations in driver genes by panel testing has not yet been established. This is especially the case in colorectal cancer, for which few putative driver variants at regulatory elements have been reported. Methods We designed a unique target capture sequencing panel of 39 colorectal cancer driver genes and their promoters, together with more than 35 megabases of regulatory elements focusing on gene promoters. Using this panel, we sequenced 95 colorectal cancer and matched normal samples at high depth, averaging 170× and 82× coverage, respectively. Results Our target capture sequencing design enabled improved coverage and variant detection across captured regions. We found cases with hereditary defects in mismatch and base excision repair due to deleterious germline coding variants, and we identified mutational spectra consistent with these repair deficiencies. Focusing on gene promoters and other regulatory regions, we found little evidence for base or region-specific recurrence of functional somatic mutations. Promoter elements, including TERT, harbored few mutations, with none showing strong functional evidence. Recurrent regulatory mutations were rare in our sequenced regions in colorectal cancer, though we highlight some candidate mutations for future functional studies. Conclusions Our study supports recent findings that regulatory driver mutations are rare in many cancer types and suggests that the inclusion of promoter regions into cancer panel testing is currently likely to have limited clinical utility in colorectal cancer.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1543-1543
Author(s):  
Dai Nishijima ◽  
Mitsuko Akaihata ◽  
Yuka Iijima-Yamashita ◽  
Tomomi Yamada ◽  
Yuichi Shiraishi ◽  
...  

Abstract Introduction Immunoglobulin (Ig)/ T-cell receptor (TCR) gene rearrangements are the most widely used clonal marker to detect residual leukemic cells in patients with Acute Lymphoblastic Leukemia (ALL). Ig/TCR gene rearrangements based molecular minimum residual disease (MRD) monitoring has become one of the most powerful prognostic indicators for patients with ALL. Although the standard method of real-time quantitative PCR (RQ-PCR) provides very good sensitivity in MRD measurement, the workflow is very complicated and time-consuming, requiring expert technique and much work for operation, which limits the number of patients to be examined for MRD monitoring and the number of testable markers per patient. Material and methods To reveal clonal architecture and detect appropriate MRD marker, we designed capture probes covering the coding and recognition signal sequences of V, D, J genes of the Ig/TCR loci. We performed high-throughput target-capture sequencing in 208 pediatric cases with BCP-ALL and 35 pediatric cases with T-cell ALL, including 20 relapsed cases and 14 MRD marker negative cases. Extracted DNA samples were enriched with about 420 capture probes (Agilent Technology) and sequenced by HiSeq2500 platform (Illumina) in order to obtain enough sequence coverage (> 500 mean depth). Sequenced data were analyzed with Ig/TCR recombination analysis tool Vidjil (Giraud et al, 2014) and V(D)J recombination clones were listed according to a number of detected read for each clone. Results Total 2379 clonal Ig/TCR gene rearrangements (median 9 per patient, range 0-82) were detected by capture sequencing among 236 (97%) cases. A clonal IGH sequence with V(D)J recombination was identified in 91% of BCP-ALL cases, followed by TRG (68 %), IGK (67 %), TRA+D (66%), TRD (59 %), TRB (49%), and IGL (15 %), respectively. On the other hand, clonal TRG V(D)J recombination was detected in 74% of T-ALL cases, followed by TRB (69%), TRD (57%), IGH (26%), and TRA+D (6%), respectively. About half of BCP-ALL cases were identified two independent IGH rearrangements. These frequencies agree with previous reports obtained by PCR based experiments. In the cases in this study with well-characterized clonal Ig/TCR gene rearrangements by PCR and Sanger sequencing, our capture sequencing was able to detect all rearrangements used in MRD measurements. Although 8 BCP-ALL cases in this study were marker-negative in standard PCR-MRD diagnostics, clonal Ig/TCR gene rearrangements were identified for 5 out of 8 cases by capture sequencing. Some of the hidden clonal rearrangements showed specific and good quantitative amplification by RQ-PCR and can be used as sensitive PCR-MRD targets. On the other hand, all the MRD marker negative 6 T-ALL cases were not detected clonal Ig/TCR gene rearrangements. Finally, we compared the clonal architecture based on Ig/TCR gene rearrangements between diagnosis and relapse in relapsed B-ALL patients. Changes in the clonal architecture were associated with remission duration. In very early relapse cases, detected Ig/TCR rearrangements and their proportion at relapse are very similar to those at diagnosis. In early to late relapse cases, some major Ig/TCR gene rearrangements were lost at relapse and other minor rearrangements expanded at relapse. Most of the identified Ig/TCR gene rearrangements were different between at diagnosis and at relapse in a case relapsed after more than 10 years. Loss of rearrangements were commonly seen in TRA, TRB, and IgL, while most of the IgK and TRD rearrangements were steady during disease course. Conclusion Introducing target capture sequencing enables to high throughput sample preparation and automated data analysis. Capture sequencing is a useful method for comprehensive detection of Ig/TCR gene rearrangements and contributes to better understanding clonal architecture and detecting appropriate MRD markers in ALL patients. Disclosures No relevant conflicts of interest to declare.


Genes ◽  
2017 ◽  
Vol 8 (11) ◽  
pp. 304 ◽  
Author(s):  
Adrian Dockery ◽  
Kirk Stephenson ◽  
David Keegan ◽  
Niamh Wynne ◽  
Giuliana Silvestri ◽  
...  

Genomics Data ◽  
2016 ◽  
Vol 10 ◽  
pp. 155-157 ◽  
Author(s):  
Minako Yoshihara ◽  
Tetsuya Sato ◽  
Daisuke Saito ◽  
Osamu Ohara ◽  
Takashi Kuramoto ◽  
...  

2020 ◽  
Author(s):  
Lucas Costa ◽  
André Marques ◽  
Chris Buddenhagen ◽  
William Wayt Thomas ◽  
Bruno Huettel ◽  
...  

SUMMARYWith the advance of high-throughput sequencing (HTS), reduced-representation methods such as target capture sequencing (TCS) emerged as cost-efficient ways of gathering genomic information. As the off-target reads from such sequencing are expected to be similar to genome skims (GS), we assessed the quality of repeat characterization using this data.For this, repeat composition from TCS datasets of five Rhynchospora (Cyperaceae) species were compared with GS data from the same taxa.All the major repetitive DNA families were identified in TCS, including repeats that showed abundances as low as 0.01% in the GS data. Rank correlation between GS and TCS repeat abundances were moderately high (r = 0.58-0.85), increasing after filtering out the targeted loci from the raw TCS reads (r = 0.66-0.92). Repeat data obtained by TCS was also reliable to develop a cytogenetic probe and solve phylogenetic relationships of Rhynchospora species with high support.In light of our results, TCS data can be effectively used for cyto- and phylogenomic investigations of repetitive DNA. Given the growing availability of HTS reads, driven by global phylogenomic projects, our strategy represents a way to recycle genomic data and contribute to a better characterization of plant biodiversity.


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