Reference Guided De Novo Genome Assembly of Transformation Pliable Solanum lycopersicum cv. Pusa Ruby

Author:

Vats Sanskriti12,Kumar Virender12,Mandlik Rushil13ORCID,Patil Gunvant4,Sonah Humira1ORCID,Roy Joy1ORCID,Sharma Tilak Raj5,Deshmukh Rupesh6ORCID

Affiliation:

1. National Agri-Food Biotechnology Institute (NABI), Mohali 140306, Punjab, India

2. Regional Centre for Biotechnology, Faridabad 121001, Haryana, India

3. Department of Biotechnology, Panjab University, Chandigarh 160014, Punjab, India

4. Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79410, USA

5. Department of Crop Science, Indian Council of Agriculture Research (ICAR), Krishi Bhavan, New Delhi 110001, Delhi, India

6. Department of Biotechnology, Central University of Haryana, Mahendragarh 123031, Haryana, India

Abstract

Solanum lycopersicum cv. Pusa Ruby (PR) is a superior tomato cultivar routinely used as a model tomato variety. Here, we report a reference-guided genome assembly for PR, covering 97.6% of the total single-copy genes in the solanales order. The PR genome contains 34,075 genes and 423,288 variants, out of which 127,131 are intragenic and 1232 are of high impact. The assembly was packaged according to PanSol guidelines (N50 = 60,396,827) with the largest scaffold measuring 85 megabases. The similarity of the PR genome assembly to Heinz1706, M82, and Fla.8924 was measured and the results suggest PR has the lowest affinity towards the hybrid Fla.8924. We then analyzed the regeneration efficiency of PR in comparison to another variety, Pusa Early Dwarf (PED). PR was found to have a high regeneration rate (45.51%) and therefore, we performed allele mining for genes associated with regeneration and found that only AGAMOUS-LIKE15 has a null mutation. Further, allele mining for fruit quality-related genes was also executed. The PR genome has an Ovate mutation leading to round fruit shape, causing economically undesirable fruit cracking. This genomic data can be potentially used for large scale crop improvement programs as well as functional annotation studies.

Funder

Department of Biotechnology

Department of Science and Technology

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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