Tender For Supply Of Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant S Les, Including Dna Extraction, 80 Gb (Q30) Data Per S Le, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysi
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Tender for Supply Of Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant S Les, Including Dna Extraction, 80 Gb (Q30) Data Per S Le, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysis, Polymorphism Detection, Gene Annotation, Candidate Region /Gene Identification And Linked-Marker Discovery With S Le Transport (Dry Ice) , Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant Samples, Including Dna Extraction, 80 Gb (Q30) Data Per Sample, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysis, Polymorphism Detection, Gene Annotation, Candidate Region /Gene Identification And Linked-Marker Discovery With Sample Transport (Dry Ice). Detailed Specification Service Required: Reference-Based Whole Genome Sequencing (Wgs) Including Dna Extraction, High-Quality Sequencing, Variant Discovery, Gene Annotation, And Comparative Genomic Analysis. Sample Type:Young Leaf Samples (Fresh Plant Tissue). Sample Transport: Transport From Field To Servicing Laboratory In Dry Ice, Until Extraction Of High-Quality Dna Suitable For Wgs. Cost Must Be Included. Sequencing Platform: Illumina Novaseq 6000 Or Latest Equivalent High-Throughput Platform. Date: Minimum ≥80 Gb High-Quality Trimmed Data (Q30) Per Sample. Service And Analysis Requirement: 1. Dna Extraction, Qc And Bulk Preparation : • High-Quality Genomic Dna Extraction From Each Of The 60 Individual Leaf Samples And 2-4 Parents.Separate Qc Record For Each Of The 60 Dna Samples. Ormalisation Of Dna Concentration Followed By Equal-Quantity/Equimolar Pooling Of 15 Dnas Each Of Four Bulks. Documentation Of The Exact Contribution Of Each Individual Plant To Bulks; 2. Wgs Data Generation And Quality Control : •Trimmed And Quality-Filtered Paired-End Whole-Genome Sequencing Of 2-4 Bulks.Minimum ≥80 Gb Of High-Quality, Q30-Trimmed Data Per Bulk, Unless The Service Provider Proposes A Scientifically Justified Equivalent Coverage.Adapter Removal And Quality Filtering/Trimming.• Fastqc/Multiqc Or Equivalent Quality-Control Assessment. Raw-Read And Clean-Read Statistics, Q20/Q30, Gc Content, Read Count And Duplication Statistics.; 3. Reference-Based Genome Analysis : • Alignment Of Clean Reads To The Latest Appropriate Reference Genome. Reference Genome Accession/Version Must Be Reported. Reference-Based Mapping/Alignment Statistics.Total Reads Mapped And Percentage Mapped. Mapping Quality Statistics.Mean/Median Sequencing Depth.; • Genome-Wide Coverage And Percentage Of Genome Covered At Relevant Depth Thresholds. Coverage/Depth Plots For Both Bulk-1 And Bulk-2. Reference-Based Assembly And Mapping Statistics: Total Reads Mapped, Depth And Genome Coverage, Percentage Of Genome Covered, Mapping Quality Metrics.; 4. Variant Discovery / Polymorphism Detection : • High-Confidence Snp And Indel Calling, Say, Between Bulk-1 And Bulk-2. • Genomic Coordinates Of All Detected Variants. Reference And Alternative Alleles For Both The Parental Genotypes And Discarding Of Common Alternate Alleles Between The Two Parental Genotypes. • Read Depth, Genotype/Allele Information And Quality Score For Each Variant.A Variant Was Retained Only When The Sequencing Depth Of Both Parents Was At Least 20 Reads. • At Least 90% Of Parent-1 Reads Were Required To Support The Reference Allele And Similarly, At Least 90% Of Parent-2 Reads Were Required To Support The Alternative Allele. •A Stringent 90% Allele-Support Threshold Must Be Applied At Each Informative Marker.The 90% Threshold Must Be Applied Only To The Parental Samples, Not To The Bulks.; 5. Bulked Segregant Analysis (Bsa-Seq) Consider Both Snp And Indel Markers : When The Parent-1-Derived Allele Was The Reference Allele; • Snp-Index (Bulk1) = Parent-1 Derived Allele Reads In Bulk-1 / Total Bulk-1 Reads; Snp-Index(Bulk-2) = Parent-1-Derived Allele Reads In Bulk 2/ Total Bulk-2 Reads.; When The Parent-2-Derived Allele Was The Alternative Allele; Snp-Index (Bulk-1) = Parent-1 Derived Allele Reads In Bulk-1 / Total Bulk-1 Read; Snp-Index(Bulk-2) = Parent-1-Derived Allele Reads In Bulk 2/ Total Bulk-2 Reads.; Thus, The Calculated Index Always Represented The Proportion Of Reads Carrying The Allele Inherited From Parent-1, Rather Than Simply Representing The Frequency Of The Vcf Ref Or Alt Allele.; • Δsnp-Index (Snp-Index Bulk 1 − Snp-Index Bulk-2) Calculation Across The Genome.A Positive Δsnp-Index Therefore Indicated That The Parent-1-Derived Allele Was More Frequent In The Bulk-1 Than In The Bulk-2. Conversely, A Negative Δsnp-Index Indicated That The Parent-1-Derived Allele Was More Frequent In The Bulk-2. Identification Of Statistically/Significantly Differentiated Genomic Regions/Peaks. Sliding Window: A Window Size Of 0.1 Mb (1,000,00 Bp) And A Step Size Of 10 Kb (100,00 Bp) Must Be Used. ; Window Level-Qtl-Seq Stat: For Each Sliding Window, Mean Bulk-1Parent-1-Derived Allele Index = Sum Of Bulk-1 Parent-1-Derived Allele Indices / Number Of Informative Variants; Mean Bulk-2Parent-1-Derived Allele Index = Sum Of Bulk-2 Parent-1-Derived Allele Indices / Number Of Informative Variants. Mean Δsnp-Index = Sum Of Individual Δsnp-Index Values / Number Of Informative Variants. The Resulting Window-Level Dataset Therefore Summarized The Genomic Distribution Of Allele-Frequency Differences While Reducing The Influence Of Individual Marker-Level Fluctuations.; 6. Variant Annotation And Functional Impact• Annotation Of Snps And Indels Against The Reference Gene Annotation.• Classification Into Intergenic, Upstream/Downstream, Intronic, Exonic And Other Relevant Categories.• Synonymous, Missense, Nonsense/Stop-Gain, Splice-Site And Other Predicted Effects Where Applicable.• Functional Impact Prediction/Prioritization Of Variants.• Identification Of Variants Located Within Or Near Candidate Genes.; 7. Additional Deliverables • Summary Reports With All Statistical Outputs• Raw Data And Analysis Supporting Files Should Be Provided. ; • Fasta, Gff3, Vcf, Jpegand Bam Files For All The Samples As Applicable; • Detailed Compiled Report With Interpretations As Per The Instructions Of The Pi.
BOQ
| Sl. No. | Item Description |
| 1 | Next-generation sequencing (NGS) services for whole genome sequencing (WGS) of plant samples, including DNA extraction, 80 GB (Q30) data per sample, Bulked Segregant Analysis (BSA-seq), pairwise variant discovery, comparative analysis, polymorphism detection, gene annotation, candidate region /gene identification and linked-marker discovery with sample transport (dry ice).Detailed SpecificationService Required: Reference-based Whole Genome Sequencing (WGS) including DNA extraction, high-quality sequencing, variant discovery, gene annotation, and comparative genomic analysis. Sample Type:Young leaf samples (fresh plant tissue). Sample Transport: Transport from field to servicing laboratory in dry ice, until extraction of high-quality DNA suitable for WGS. Cost must be included. Sequencing Platform: Illumina NovaSeq 6000 or latest equivalent high-throughput platform. Date: Minimum ≥80 GB high-quality trimmed data (Q30) per sample.Service and Analysis requirement: 1. DNA Extraction, QC and Bulk Preparation : • High-quality genomic DNA extraction from each of the 60 individual leaf samples and 2-4 parents.Separate QC record for each of the 60 DNA samples. ormalisation of DNA concentration followed by equal-quantity/equimolar pooling of 15 DNAs each of four bulks. Documentation of the exact contribution of each individual plant to bulks; 2. WGS Data Generation and Quality Control : •Trimmed and quality-filtered paired-end whole-genome sequencing of 2-4 bulks.Minimum ≥80 GB of high-quality, Q30-trimmed data per bulk, unless the service provider proposes a scientifically justified equivalent coverage.Adapter removal and quality filtering/trimming.• FastQC/MultiQC or equivalent quality-control assessment. Raw-read and clean-read statistics, Q20/Q30, GC content, read count and duplication statistics.; 3. Reference-Based Genome Analysis : • Alignment of clean reads to the latest appropriate reference genome. Reference genome accession/version must be reported. Reference-based mapping/alignment statistics.Total reads mapped and percentage mapped. Mapping quality statistics.Mean/median sequencing depth.; • Genome-wide coverage and percentage of genome covered at relevant depth thresholds. Coverage/depth plots for both bulk-1 and bulk-2. Reference-based assembly and mapping statistics: Total reads mapped, Depth and genome coverage, Percentage of genome covered, mapping quality metrics.; 4. Variant Discovery / Polymorphism Detection : • High-confidence SNP and Indel calling, say, between bulk-1 and bulk-2. • Genomic coordinates of all detected variants. Reference and alternative alleles for both the parental genotypes and discarding of common alternate alleles between the two parental genotypes. • Read depth, genotype/allele information and quality score for each variant.A variant was retained only when the sequencing depth of both parents was at least 20 reads. • At least 90% of Parent-1 reads were required to support the reference allele and similarly, at least 90% of Parent-2 reads were required to support the alternative allele. •A stringent 90% allele-support threshold must be applied at each informative marker.The 90% threshold must be applied only to the parental samples, not to the bulks.; 5. Bulked Segregant Analysis (BSA-seq) Consider both SNP and Indel markers : When the Parent-1-derived allele was the reference allele; • SNP-index (Bulk1) = Parent-1 derived allele reads in bulk-1 / total bulk-1 reads; SNP-index(bulk-2) = Parent-1-derived allele reads in bulk 2/ total bulk-2 reads.; When the Parent-2-derived allele was the alternative allele; SNP-index (bulk-1) = Parent-1 derived allele reads in bulk-1 / total bulk-1 read; SNP-index(bulk-2) = Parent-1-derived allele reads in bulk 2/ total bulk-2 reads.; Thus, the calculated index always represented the proportion of reads carrying the allele inherited from Parent-1, rather than simply representing the frequency of the VCF REF or ALT allele.; • ΔSNP-index (SNP-index bulk 1 − SNP-index bulk-2) calculation across the genome.A positive ΔSNP-index therefore indicated that the Parent-1-derived allele was more frequent in the bulk-1 than in the bulk-2. Conversely, a negative ΔSNP-index indicated that the Parent-1-derived allele was more frequent in the bulk-2. Identification of statistically/significantly differentiated genomic regions/peaks. Sliding window: A window size of 0.1 Mb (1,000,00 bp) and a step size of 10 kb (100,00 bp) must be used. ; Window level-QTL-seq Stat: For each sliding window, Mean Bulk-1Parent-1-derived allele index = sum of Bulk-1 Parent-1-derived allele indices / number of informative variants; Mean Bulk-2Parent-1-derived allele index = sum of Bulk-2 Parent-1-derived allele indices / number of informative variants. Mean ΔSNP-index = sum of individual ΔSNP-index values / number of informative variants. The resulting window-level dataset therefore summarized the genomic distribution of allele-frequency differences while reducing the influence of individual marker-level fluctuations.; 6. Variant Annotation and Functional Impact• Annotation of SNPs and InDels against the Reference gene annotation.• Classification into intergenic, upstream/downstream, intronic, exonic and other relevant categories.• Synonymous, missense, nonsense/stop-gain, splice-site and other predicted effects where applicable.• Functional impact prediction/prioritization of variants.• Identification of variants located within or near candidate genes.; 7. Additional Deliverables • Summary reports with all statistical outputs• Raw data and analysis supporting files should be provided. ; • FASTA, GFF3, VCF, JPEGand BAM files for all the samples as applicable; • Detailed compiled report with interpretations as per the instructions of the PI. Please Enable Macros to View BoQ information |
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