Liv Gilpin , Fabrizio Costa , Nicholas P. Howard , Dag Røen , Muath Alsheikh
{"title":"多重遗传分析揭示了挪威苹果(Malus domestica Borkh.)果实质地和贮藏性的 QTL 动态特征","authors":"Liv Gilpin , Fabrizio Costa , Nicholas P. Howard , Dag Røen , Muath Alsheikh","doi":"10.1016/j.postharvbio.2024.113276","DOIUrl":null,"url":null,"abstract":"<div><div>In Norway, apples (<em>Malus domestica</em> Borkh.) are produced at latitude around 60° north. Notably the season is short and cool and Norwegian cultivars have developed under selection pressure from these distinct climatic conditions, resulting in apple germplasm with unique genetic structure and pedigree. Strong selection for earliness has resulted in several cultivars that mature and soften quickly, making it challenging to meet consumer expectations for apple quality. The commercial success of apple is largely related to its texture and long-term storability, enabling a year-round availability of fresh fruit. Texture in apple has been well characterized and major causative genes have been found. Nonetheless, comprehensive knowledge of the genetic control of texture retention is lacking. To improve postharvest performance, including storability, in the breeding program currently ongoing at Njøs Fruit and Berry Centre (NJØS), a diversity collection of 197 apple cultivars was employed to initiate a genome-wide association analysis (GWAS) to identify relevant genomic regions associated with these aspects. Quantitative trait loci (QTL) associated with different dissected multi-trait texture components assessed by a texture analyzer equipped with an acoustic device were identified. To target QTLs relevant to improving postharvest storage, a softening and storage index was also implemented into the QTL analysis, further mapped on chromosome 10. The GWAS-QTL pattern was additionally validated on a different genetic background, implementing a multi-parental-cross-design scheme. Findings include previously unreported genomic regions related to texture attributes, and especially haploblock HB-10–03 represents an important novel molecular tool valuable for breeding Norwegian apple cultivars with superior fruit storability.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"219 ","pages":"Article 113276"},"PeriodicalIF":6.4000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple genetic analyses disclose the QTL dynamic for fruit texture and storability in Norwegian apples (Malus domestica Borkh.)\",\"authors\":\"Liv Gilpin , Fabrizio Costa , Nicholas P. Howard , Dag Røen , Muath Alsheikh\",\"doi\":\"10.1016/j.postharvbio.2024.113276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In Norway, apples (<em>Malus domestica</em> Borkh.) are produced at latitude around 60° north. Notably the season is short and cool and Norwegian cultivars have developed under selection pressure from these distinct climatic conditions, resulting in apple germplasm with unique genetic structure and pedigree. Strong selection for earliness has resulted in several cultivars that mature and soften quickly, making it challenging to meet consumer expectations for apple quality. The commercial success of apple is largely related to its texture and long-term storability, enabling a year-round availability of fresh fruit. Texture in apple has been well characterized and major causative genes have been found. Nonetheless, comprehensive knowledge of the genetic control of texture retention is lacking. To improve postharvest performance, including storability, in the breeding program currently ongoing at Njøs Fruit and Berry Centre (NJØS), a diversity collection of 197 apple cultivars was employed to initiate a genome-wide association analysis (GWAS) to identify relevant genomic regions associated with these aspects. Quantitative trait loci (QTL) associated with different dissected multi-trait texture components assessed by a texture analyzer equipped with an acoustic device were identified. To target QTLs relevant to improving postharvest storage, a softening and storage index was also implemented into the QTL analysis, further mapped on chromosome 10. The GWAS-QTL pattern was additionally validated on a different genetic background, implementing a multi-parental-cross-design scheme. Findings include previously unreported genomic regions related to texture attributes, and especially haploblock HB-10–03 represents an important novel molecular tool valuable for breeding Norwegian apple cultivars with superior fruit storability.</div></div>\",\"PeriodicalId\":20328,\"journal\":{\"name\":\"Postharvest Biology and Technology\",\"volume\":\"219 \",\"pages\":\"Article 113276\"},\"PeriodicalIF\":6.4000,\"publicationDate\":\"2024-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Postharvest Biology and Technology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0925521424005210\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Postharvest Biology and Technology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925521424005210","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
Multiple genetic analyses disclose the QTL dynamic for fruit texture and storability in Norwegian apples (Malus domestica Borkh.)
In Norway, apples (Malus domestica Borkh.) are produced at latitude around 60° north. Notably the season is short and cool and Norwegian cultivars have developed under selection pressure from these distinct climatic conditions, resulting in apple germplasm with unique genetic structure and pedigree. Strong selection for earliness has resulted in several cultivars that mature and soften quickly, making it challenging to meet consumer expectations for apple quality. The commercial success of apple is largely related to its texture and long-term storability, enabling a year-round availability of fresh fruit. Texture in apple has been well characterized and major causative genes have been found. Nonetheless, comprehensive knowledge of the genetic control of texture retention is lacking. To improve postharvest performance, including storability, in the breeding program currently ongoing at Njøs Fruit and Berry Centre (NJØS), a diversity collection of 197 apple cultivars was employed to initiate a genome-wide association analysis (GWAS) to identify relevant genomic regions associated with these aspects. Quantitative trait loci (QTL) associated with different dissected multi-trait texture components assessed by a texture analyzer equipped with an acoustic device were identified. To target QTLs relevant to improving postharvest storage, a softening and storage index was also implemented into the QTL analysis, further mapped on chromosome 10. The GWAS-QTL pattern was additionally validated on a different genetic background, implementing a multi-parental-cross-design scheme. Findings include previously unreported genomic regions related to texture attributes, and especially haploblock HB-10–03 represents an important novel molecular tool valuable for breeding Norwegian apple cultivars with superior fruit storability.
期刊介绍:
The journal is devoted exclusively to the publication of original papers, review articles and frontiers articles on biological and technological postharvest research. This includes the areas of postharvest storage, treatments and underpinning mechanisms, quality evaluation, packaging, handling and distribution of fresh horticultural crops including fruit, vegetables, flowers and nuts, but excluding grains, seeds and forages.
Papers reporting novel insights from fundamental and interdisciplinary research will be particularly encouraged. These disciplines include systems biology, bioinformatics, entomology, plant physiology, plant pathology, (bio)chemistry, engineering, modelling, and technologies for nondestructive testing.
Manuscripts on fresh food crops that will be further processed after postharvest storage, or on food processes beyond refrigeration, packaging and minimal processing will not be considered.