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整合多组学和现代育种工具以加速番荔枝属植物的遗传改良。

Integrating multiomics and modern breeding tools for accelerating genetic improvement in Annonas.

作者信息

Prasad Shri Hari, Bignell Grant, Copeland Rhys G R, Garg Vanika, Chitikineni Annapurna, Henry Robert J, Dillon Natalie, Mir Reyazul Rouf, Varshney Rajeev K

机构信息

WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.

Maroochy Research Facility, Queensland Department of Primary Industries, Nambour, QLD, 4560, Australia.

出版信息

Funct Integr Genomics. 2025 Jul 12;25(1):155. doi: 10.1007/s10142-025-01653-7.

DOI:10.1007/s10142-025-01653-7
PMID:40646364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12254078/
Abstract

Custard apples (Annona spp.) are among the most important horticultural crops in the world, including Australia. The genus Annona comprises several economically and nutritionally significant species, including atemoya, cherimoya, sugar apple, ilama, soursop, bullock's heart, and bibra. These fruits are valued for their exotic taste and are popular backyard fruit crops in many countries. While some species are commercially cultivated and exported, the broader potential of these crops remains largely untapped. Despite their historical significance, these Annona species remain neglected or underutilised, with breeding efforts restricted to only a few countries. Extensive genetic resources, including germplasm collections, candidate genotypes, and mapping populations, are available for crop improvement. Traditional breeding methods - such as selection, crossbreeding, and mutation breeding - have been widely applied alongside modern breeding approaches like marker-assisted selection (MAS). However, several challenges, such as a lack of information regarding the crop and a long juvenile period, hinder crop improvement in custard apples. Recent advancements and affordability of sequencing technologies have enabled an increase in the number of multiomics studies, especially genomics and transcriptomics within Annona species. Integrating these data with proteomics, metabolomics, and phenomics will facilitate the genetic dissection of important traits in Annona. This review provides a comprehensive overview of the current advancements and future prospects of multiomics tools and technologies developed and their potential to accelerate custard apple breeding programs.

摘要

番荔枝(番荔枝属)是世界上最重要的园艺作物之一,包括在澳大利亚。番荔枝属包含几个具有经济和营养重要性的物种,包括凤梨释迦、番荔枝、释迦果、伊拉马番荔枝、刺果番荔枝、牛心番荔枝和比布拉番荔枝。这些水果因其独特的味道而受到重视,并且在许多国家都是受欢迎的后院水果作物。虽然一些物种进行商业化种植和出口,但这些作物更广泛的潜力在很大程度上仍未得到开发。尽管它们具有历史意义,但这些番荔枝物种仍然被忽视或未得到充分利用,育种工作仅限于少数几个国家。有大量的遗传资源,包括种质收集、候选基因型和作图群体,可用于作物改良。传统育种方法,如选择育种、杂交育种和诱变育种,已与标记辅助选择(MAS)等现代育种方法一起广泛应用。然而,一些挑战,如缺乏有关该作物的信息和较长的幼年期,阻碍了番荔枝的作物改良。测序技术的最新进展和可承受性使得多组学研究的数量有所增加,特别是番荔枝属内的基因组学和转录组学。将这些数据与蛋白质组学、代谢组学和表型组学相结合,将有助于对番荔枝重要性状进行遗传剖析。本综述全面概述了已开发的多组学工具和技术的当前进展和未来前景,以及它们加速番荔枝育种计划的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/0b6141f2714c/10142_2025_1653_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/0f219e27f17f/10142_2025_1653_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/7994add3587f/10142_2025_1653_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/ca7eadb64291/10142_2025_1653_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/2f99a1351034/10142_2025_1653_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/4eb075213037/10142_2025_1653_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/0b6141f2714c/10142_2025_1653_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/0f219e27f17f/10142_2025_1653_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/7994add3587f/10142_2025_1653_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/ca7eadb64291/10142_2025_1653_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/2f99a1351034/10142_2025_1653_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/4eb075213037/10142_2025_1653_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be77/12254078/0b6141f2714c/10142_2025_1653_Fig6_HTML.jpg

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Generative adversarial network integrated with metabolomics identifies potential biomarkers related to quality changes of atemoya (Annona cherimola × Annona squamosa) stored at 10 and 25 °C.结合代谢组学的生成对抗网络识别出与番荔枝(番荔枝×番荔枝)在10℃和25℃下储存时品质变化相关的潜在生物标志物。
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