Abstract

The breeding of tropical fruit trees for improving fruit traits is complicated, due to the long juvenile phase, generation cycle, parthenocarpy, polyploidy, polyembryony, heterozygosity and biotic and abiotic factors, as well as a lack of good genomic resources. Many molecular techniques have recently evolved to assist and hasten conventional breeding efforts. Molecular markers linked to fruit development and fruit quality traits such as fruit shape, size, texture, aroma, peel and pulp colour were identified in tropical fruit crops, facilitating Marker-assisted breeding (MAB). An increase in the availability of genome sequences of tropical fruits further aided in the discovery of SNP variants/Indels, QTLs and genes that can ascertain the genetic determinants of fruit characters. Through multi-omics approaches such as genomics, transcriptomics, metabolomics and proteomics, the identification and quantification of transcripts, including non-coding RNAs, involved in sugar metabolism, fruit development and ripening, shelf life, and the biotic and abiotic stress that impacts fruit quality were made possible. Utilizing genomic assisted breeding methods such as genome wide association (GWAS), genomic selection (GS) and genetic modifications using CRISPR/Cas9 and transgenics has paved the way to studying gene function and developing cultivars with desirable fruit traits by overcoming long breeding cycles. Such comprehensive multi-omics approaches related to fruit characters in tropical fruits and their applications in breeding strategies and crop improvement are reviewed, discussed and presented here.

Highlights

  • Tropical fruits, grown mostly in low-income countries, are a treasure trove of nutrition and assist in the economic sustainability of the region [1]

  • Breeding in fruit crops with improved fruit characters requires a thorough understanding of the genetic architecture of the fruit quality traits, requiring population segregation, a wide and diverse germplasm collection, diversity analysis and genetic studies by vast and exhaustive phenotyping over many years

  • In papaya, using whole-genome genotyping (WGG), it was reported that 106 ripening-related genes were associated with 460 single nucleotide polymorphisms (SNPs)/Indel variants, and they can be converted as molecular markers to aid genetic mapping and diversity studies and to facilitate Marker assisted selection (MAS) for specific fruit traits [263]

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Summary

Introduction

Grown mostly in low-income countries, are a treasure trove of nutrition and assist in the economic sustainability of the region [1]. Difficulties in conventional breeding can be minimized by employing molecular breeding techniques, supported by information on molecular markers, genetic linkage maps, whole genome sequence, genotyping by sequencing (GBS), transcriptome, metabolome and proteome profiles This facilitates understanding of the functional roles of genes, transcription facshelf life and tolerance towards abiotic and biotic factors mechanism becomes an and essential component tors and pathways involved in fruit characters, ripening resistance to disof breeding efforts.environmental conditions [8,9]. Understanding fruit ripening and related traits, at the molecular and biochemical with uniformly shaped fruit, good yield, desirable pulp, aroma, skin colour and uniform level, opened up possibilities for genetic modifications by the application of genetic engisize with high nutritional content is desirable in the consumer market. Information on the genomic approaches employed to study these intricate fruit ripening mechanisms and other fruit traits in some commercially important tropical fruits such as banana, mango, papaya, guava, citrus, jackfruit, dragon fruit, durian and avocado is discussed in this comprehensive review

Fruit Development
Fruit Ripening
Fruit Softening
Sugar Metabolism
Flavour
Pulp and Peel Colour
Fruit Quality
Bearing Characters
Shelf Life
Abiotic Stress
Biotic Stress
Genomic Assisted Breeding Strategies in Tropical Fruit Crops
Diversity Analysis
Genetic Engineering in Fruit Crops
Transgenics
Databases
Findings
10. Conclusions
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