Cataloging Plant Genome Structural Variations

AbstractBackgroundInsertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection.ResultsWe have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix® Axiom® array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35bp to 129kbp. After Affymetrix® quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~3%), high call rate (~98%), and high reproducibility (>95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (<0.1% error rate and >99.9% of call rate for 5 probes). This “proof of concept” tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50K SNP arrays.ConclusionsWe efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix® Axiom® array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.

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High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array

BMC Genomics ◽

10.1186/s12864-019-6136-9 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 2

Author(s):

Clément Mabire ◽

Jorge Duarte ◽

Aude Darracq ◽

Ali Pirani ◽

Hélène Rimbert ◽

...

Keyword(s):

High Throughput ◽

Plant Genome ◽

Call Rate ◽

Proof Of Concept ◽

Structural Variations ◽

Phenotypic Effect ◽

Kinship Matrix ◽

Large Panels ◽

Powerful Approach ◽

Highly Correlated

Abstract Background Insertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection. Results We have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix® Axiom® array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35 bp to 129kbp. After Affymetrix® quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~ 3%), high call rate (~ 98%), and high reproducibility (> 95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (< 0.1% error rate and > 99.9% of call rate for 5 probes). This “proof of concept” tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50 K SNP arrays. Conclusions We efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix® Axiom® array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.

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Crystalloid Inclusions in Hepatocyte Mitochondria and Their Similarity to Cytoplasmic Crystalloids

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051001 ◽

1974 ◽

Vol 32 ◽

pp. 198-199

Author(s):

Odell T. Minick ◽

Hidejiro Yokoo

Keyword(s):

Liver Disease ◽

Alcoholic Liver Disease ◽

Special Interest ◽

Structural Variations ◽

Mitochondrial Alterations ◽

The Matrix ◽

Crystalloid Inclusions ◽

Liver Biopsies

Mitochondrial alterations were studied in 25 liver biopsies from patients with alcoholic liver disease. Of special interest were the morphologic resemblance of certain fine structural variations in mitochondria and crystalloid inclusions. Four types of alterations within mitochondria were found that seemed to relate to cytoplasmic crystalloids.Type 1 alteration consisted of localized groups of cristae, usually oriented in the long direction of the organelle (Fig. 1A). In this plane they appeared serrated at the periphery with blind endings in the matrix. Other sections revealed a system of equally-spaced diagonal lines lengthwise in the mitochondrion with cristae protruding from both ends (Fig. 1B). Profiles of this inclusion were not unlike tangential cuts of a crystalloid structure frequently seen in enlarged mitochondria described below.

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Plant Genome Editing – Policies and Governance

10.3389/978-2-88963-670-9 ◽

2020 ◽

Keyword(s):

Genome Editing ◽

Plant Genome

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Direct Read and Quantify Damage Nucleotide from an Oligonucleotide Using a Single Molecule Interface

10.26434/chemrxiv.10080638.v2 ◽

2019 ◽

Author(s):

Jiajun Wang ◽

Meng-Yin Li ◽

Jie Yang ◽

Ya-Qian Wang ◽

Xue-Yuan Wu ◽

...

Keyword(s):

Dna Sequencing ◽

Single Molecule ◽

Genetic Diseases ◽

High Sensitivity ◽

Dna Lesions ◽

Lesion Detection ◽

The Novel ◽

Structural Variations ◽

Dna Lesion ◽

Base Lesion

DNA lesion such as metholcytosine(mC), 8-OXO-guanine(OG), inosine(I) etc could cause the genetic diseases. Identification of the varieties of lesion bases are usually beyond the capability of conventional DNA sequencing which is mainly designed to discriminate four bases only. Therefore, lesion detection remain challenge due to the massive varieties and less distinguishable readouts for minor structural variations. Moreover, standard amplification and labelling hardly works in DNA lesions detection. Herein, we designed a single molecule interface from the mutant K238Q Aerolysin, whose confined sensing region shows the high compatible to capture and then directly convert each base lesion into distinguishable current readouts. Compared with previous single molecule sensing interface, the resolution of the K238Q Aerolysin nanopore is enhanced by 2-order. The novel K238Q could direct discriminate at least 3 types (mC, OG, I) lesions without lableing and quantify modification sites under mixed hetero-composition condition of oligonucleotide. Such nanopore could be further applied to diagnose genetic diseases at high sensitivity.

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Comparative Assessment of Sporophyte and Gametophyte Thermal Resistance of Winter Rape

Scientific and Technical Bulletin of the Institute of Oilseed Crops NAAS ◽

10.36710/ioc-2019-28-02 ◽

2019 ◽

pp. 15-22

Keyword(s):

Elevated Temperatures ◽

Rapid Assessment ◽

Temperature Stability ◽

Temperature Factor ◽

Plant Genome ◽

Limiting Factors ◽

Initial Assessment ◽

High Temperature Stability ◽

Winter Rape ◽

High Yields

The temperature factor is one of the limiting factors for obtaining high yields of crops, so one of the main tasks of selection is to search for temperature-resistant genotypes and to create on their basis the banks of crops with high temperature stability. The first step to solving this problem is to conduct a rapid assessment of the temperature plasticity of large populations and to isolate breeding-valuable genotypes from them. There are numerous methods that allow, in the short term with minimal technical and material costs, to carry out an initial assessment of a large number of genotypes at sporophytic level and differentiate them by resistance to the temperature factor. These methods include the method of estimating pollen populations. These studies have repeatedly been conducted on many cultures, their correctness is due to the expression of a large part of the plant genome, both at the diploid and haploid levels of development and demonstrated by many studies in this direction. The aim of our study was to study the stability of gametophyte and sporophyte of collecting varieties and varieties of winter rape to elevated temperatures, to study the correlation between the heat resistance of sporophyte and gametophyte.

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