# Harnessing genomic resources for passion fruit improvement: Progress and prospects

**Authors:** Khushboo Fulara, Vanika Garg, Xinhang Sun, Rebecca Ford, Natalie Dillon, Bruce Topp, Robert J. Henry, Mobashwer Alam, Rajeev K. Varshney

PMC · DOI: 10.1002/tpg2.70213 · The Plant Genome · 2026-03-16

## TL;DR

Passion fruit breeding can be improved using genomics to enhance yield, stress tolerance, and desirable traits for farmers and consumers.

## Contribution

The paper reviews recent genomic resources and strategies for advancing passion fruit breeding efficiency.

## Key findings

- Genomic tools like reference genomes and molecular markers are being used to improve passion fruit traits.
- Functional omics approaches help understand the genetic basis of fruit quality and stress response.
- Genomic selection and high-throughput phenotyping can accelerate breeding progress.

## Abstract

Passion fruit (Passiflora edulis) is a highly nutritious horticultural crop cultivated widely across tropical and subtropical regions. Despite decades of breeding efforts that have led to the release of a few high‐yielding cultivars, on‐farm productivity remains suboptimal, and several existing cultivars are showing signs of declining vigor. To ensure the development of cultivars with stable and enhanced yields under both optimal and stress‐prone conditions, there is a growing impetus to improve breeding efficiency. Integrating advanced genomics technologies into conventional breeding pipelines offers a promising path forward. Over the past decade, substantial genomic resources have been developed, including genome‐wide markers, marker‐trait associations, reference genomes, and resequencing datasets. Some of these tools are already being deployed in breeding programs to enhance yield and consumer‐preferred traits. Emerging approaches such as genomic selection, speed breeding, and high‐throughput phenotyping hold further potential to accelerate genetic gains. Realizing the full benefits of these tools will require strategic utilization of diverse and targeted genetic resources, coupled with streamlined cultivar delivery systems. Addressing the technical and operational bottlenecks that hinder the translation of genomic advances to field‐ready cultivars will be key to securing the future of passion fruit improvement.

Passion fruit breeding needs a boost to overcome low productivity and declining cultivar vigor.Genomics integration into breeding can improve yield, stress tolerance, and consumer‐preferred traits.Tools like genomic selection, speed breeding, and high‐throughput phenotyping can accelerate gains.Success depends on diverse genetic resources and efficient delivery of improved cultivars to farmers.

Passion fruit breeding needs a boost to overcome low productivity and declining cultivar vigor.

Genomics integration into breeding can improve yield, stress tolerance, and consumer‐preferred traits.

Tools like genomic selection, speed breeding, and high‐throughput phenotyping can accelerate gains.

Success depends on diverse genetic resources and efficient delivery of improved cultivars to farmers.

This review presents an update on the current status of passion fruit breeding, emphasizing the shift from traditional approaches to genomics‐assisted advancements. The paper emphasizes the constraints to passion fruit cultivation, such as loss of cultivar vigor, poor yields, and low tolerance to biotic and abiotic stresses. It suggests that modern genomics offers a promising path to enhance breeding efficiency and to overcome these limitations. Details of the progress made in developing genomic resources for Passiflora species, such as high‐quality reference genomes, molecular markers (e.g., single‐nucleotide polymorphisms and simple sequence repeats), and comprehensive transcriptomic datasets, are provided. These resources are foundational for understanding the genetic basis of key traits. The review discusses using functional omics and multi‐omics strategies to dissect the molecular basis of fruit quality, aroma, and stress response.

## Linked entities

- **Species:** Passiflora edulis (taxon 78168)

## Full-text entities

- **Diseases:** fusarium wilt (MESH:D060585), Xap infection (MESH:D007239), ORPHAN (MESH:D035583), TRAIT DISCOVERY (MESH:C567520), bacterial infections (MESH:D001424), LSC (MESH:D012640), GENETIC (MESH:D030342), BASED BREEDING (MESH:D019292), GS (MESH:D042822), AFLP (MESH:D012892), viral (MESH:D014777), WGD (MESH:C531766)
- **Chemicals:** starch (MESH:D013213), lipid (MESH:D008055), ethylene (MESH:C036216), VOCs (-), oxygen (MESH:D010100), VOC (MESH:D055549), anthocyanin (MESH:D000872), fatty acid (MESH:D005227), CO2 (MESH:D002245), sucrose (MESH:D013395), flavonoid (MESH:D005419), 1-methylcyclopropene (MESH:C412563), abscisic acid (MESH:D000040), sugar (MESH:D000073893), amino acid (MESH:D000596)
- **Species:** Passiflora (passionflowers, genus) [taxon 3684], Passiflora cincinnata (species) [taxon 197924], Punica granatum (granado, species) [taxon 22663], Hordeum vulgare (barley, species) [taxon 4513], Passiflora edulis (passion fruit, species) [taxon 78168], Passiflora edulis var. edulis (varietas) [taxon 1735966], Gossypium herbaceum (Arabian cotton, species) [taxon 34274], Zea mays (maize, species) [taxon 4577], Manihot esculenta (cassava, species) [taxon 3983], Oryza sativa (Asian cultivated rice, species) [taxon 4530], Capsicum annuum (sweet pepper, species) [taxon 4072], Glycine max (soybean, species) [taxon 3847], Triticum aestivum (bread wheat, species) [taxon 4565], Solanum tuberosum (potatoes, species) [taxon 4113], Daucus carota (carrot, species) [taxon 4039], Malus domestica (apple, species) [taxon 3750], Prunus armeniaca (apricot, species) [taxon 36596], Solanum lycopersicum (tomato, species) [taxon 4081], Prunus persica (peach, species) [taxon 3760], Vitis vinifera (wine grape, species) [taxon 29760], Passiflora ligularis (sweet granadilla, species) [taxon 237863], Passiflora tarminiana (species) [taxon 483749]
- **Mutations:** T2T

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12993108/full.md

## References

146 references — full list in the complete paper: https://tomesphere.com/paper/PMC12993108/full.md

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Source: https://tomesphere.com/paper/PMC12993108