Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes

AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding hig...
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Autor*in:	Wenwei Liang [verfasserIn] Mingjie Wang [verfasserIn] Binghao Du [verfasserIn] Lei Ling [verfasserIn] Yingdong Bi [verfasserIn] Jinghua Zhang [verfasserIn] Yimin Sun [verfasserIn] Shuang Zhou [verfasserIn] Lili Zhang [verfasserIn] Xiao Ma [verfasserIn] Jun Ma [verfasserIn] Liren Wu [verfasserIn] Changhong Guo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes

Übergeordnetes Werk:	In: Biotechnology & Biotechnological Equipment - Taylor & Francis Group, 2016, 36(2022), 1, Seite 684-696
Übergeordnetes Werk:	volume:36 ; year:2022 ; number:1 ; pages:684-696

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/13102818.2022.2106886

Katalog-ID:	DOAJ000836559

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520			\|a AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry.
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allfields	10.1080/13102818.2022.2106886 doi (DE-627)DOAJ000836559 (DE-599)DOAJ00b4546c626c418f9c751eb44a02749d DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wenwei Liang verfasserin aut Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry. Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes Biotechnology Mingjie Wang verfasserin aut Binghao Du verfasserin aut Lei Ling verfasserin aut Yingdong Bi verfasserin aut Jinghua Zhang verfasserin aut Yimin Sun verfasserin aut Shuang Zhou verfasserin aut Lili Zhang verfasserin aut Xiao Ma verfasserin aut Jun Ma verfasserin aut Liren Wu verfasserin aut Changhong Guo verfasserin aut In Biotechnology & Biotechnological Equipment Taylor & Francis Group, 2016 36(2022), 1, Seite 684-696 (DE-627)555687376 (DE-600)2400627-0 13143530 nnns volume:36 year:2022 number:1 pages:684-696 https://doi.org/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/article/00b4546c626c418f9c751eb44a02749d kostenfrei https://www.tandfonline.com/doi/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/toc/1310-2818 Journal toc kostenfrei https://doaj.org/toc/1314-3530 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2022 1 684-696
spelling	10.1080/13102818.2022.2106886 doi (DE-627)DOAJ000836559 (DE-599)DOAJ00b4546c626c418f9c751eb44a02749d DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wenwei Liang verfasserin aut Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry. Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes Biotechnology Mingjie Wang verfasserin aut Binghao Du verfasserin aut Lei Ling verfasserin aut Yingdong Bi verfasserin aut Jinghua Zhang verfasserin aut Yimin Sun verfasserin aut Shuang Zhou verfasserin aut Lili Zhang verfasserin aut Xiao Ma verfasserin aut Jun Ma verfasserin aut Liren Wu verfasserin aut Changhong Guo verfasserin aut In Biotechnology & Biotechnological Equipment Taylor & Francis Group, 2016 36(2022), 1, Seite 684-696 (DE-627)555687376 (DE-600)2400627-0 13143530 nnns volume:36 year:2022 number:1 pages:684-696 https://doi.org/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/article/00b4546c626c418f9c751eb44a02749d kostenfrei https://www.tandfonline.com/doi/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/toc/1310-2818 Journal toc kostenfrei https://doaj.org/toc/1314-3530 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2022 1 684-696
allfields_unstemmed	10.1080/13102818.2022.2106886 doi (DE-627)DOAJ000836559 (DE-599)DOAJ00b4546c626c418f9c751eb44a02749d DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wenwei Liang verfasserin aut Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry. Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes Biotechnology Mingjie Wang verfasserin aut Binghao Du verfasserin aut Lei Ling verfasserin aut Yingdong Bi verfasserin aut Jinghua Zhang verfasserin aut Yimin Sun verfasserin aut Shuang Zhou verfasserin aut Lili Zhang verfasserin aut Xiao Ma verfasserin aut Jun Ma verfasserin aut Liren Wu verfasserin aut Changhong Guo verfasserin aut In Biotechnology & Biotechnological Equipment Taylor & Francis Group, 2016 36(2022), 1, Seite 684-696 (DE-627)555687376 (DE-600)2400627-0 13143530 nnns volume:36 year:2022 number:1 pages:684-696 https://doi.org/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/article/00b4546c626c418f9c751eb44a02749d kostenfrei https://www.tandfonline.com/doi/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/toc/1310-2818 Journal toc kostenfrei https://doaj.org/toc/1314-3530 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2022 1 684-696
allfieldsGer	10.1080/13102818.2022.2106886 doi (DE-627)DOAJ000836559 (DE-599)DOAJ00b4546c626c418f9c751eb44a02749d DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wenwei Liang verfasserin aut Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry. Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes Biotechnology Mingjie Wang verfasserin aut Binghao Du verfasserin aut Lei Ling verfasserin aut Yingdong Bi verfasserin aut Jinghua Zhang verfasserin aut Yimin Sun verfasserin aut Shuang Zhou verfasserin aut Lili Zhang verfasserin aut Xiao Ma verfasserin aut Jun Ma verfasserin aut Liren Wu verfasserin aut Changhong Guo verfasserin aut In Biotechnology & Biotechnological Equipment Taylor & Francis Group, 2016 36(2022), 1, Seite 684-696 (DE-627)555687376 (DE-600)2400627-0 13143530 nnns volume:36 year:2022 number:1 pages:684-696 https://doi.org/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/article/00b4546c626c418f9c751eb44a02749d kostenfrei https://www.tandfonline.com/doi/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/toc/1310-2818 Journal toc kostenfrei https://doaj.org/toc/1314-3530 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2022 1 684-696
allfieldsSound	10.1080/13102818.2022.2106886 doi (DE-627)DOAJ000836559 (DE-599)DOAJ00b4546c626c418f9c751eb44a02749d DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wenwei Liang verfasserin aut Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry. Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes Biotechnology Mingjie Wang verfasserin aut Binghao Du verfasserin aut Lei Ling verfasserin aut Yingdong Bi verfasserin aut Jinghua Zhang verfasserin aut Yimin Sun verfasserin aut Shuang Zhou verfasserin aut Lili Zhang verfasserin aut Xiao Ma verfasserin aut Jun Ma verfasserin aut Liren Wu verfasserin aut Changhong Guo verfasserin aut In Biotechnology & Biotechnological Equipment Taylor & Francis Group, 2016 36(2022), 1, Seite 684-696 (DE-627)555687376 (DE-600)2400627-0 13143530 nnns volume:36 year:2022 number:1 pages:684-696 https://doi.org/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/article/00b4546c626c418f9c751eb44a02749d kostenfrei https://www.tandfonline.com/doi/10.1080/13102818.2022.2106886 kostenfrei https://doaj.org/toc/1310-2818 Journal toc kostenfrei https://doaj.org/toc/1314-3530 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2022 1 684-696
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source	In Biotechnology & Biotechnological Equipment 36(2022), 1, Seite 684-696 volume:36 year:2022 number:1 pages:684-696
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topic_facet	Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes Biotechnology
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callnumber-first	T - Technology
author	Wenwei Liang
spellingShingle	Wenwei Liang misc TP248.13-248.65 misc Strawberry anthracnose misc transcriptome misc DEGs misc anti-anthracnose-related genes misc Biotechnology Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes
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topic_title	TP248.13-248.65 Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes Strawberry anthracnose transcriptome DEGs anti-anthracnose-related genes
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title	Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes
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title_sort	transcriptome analysis of strawberry (fragaria × ananasa) responsive to colletotrichum gloeosporioides inoculation and mining of resistance genes
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title_auth	Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes
abstract	AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry.
abstractGer	AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry.
abstract_unstemmed	AbstractStrawberry has high nutritional and economic value and is an important horticultural crop widely cultivated worldwide. Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. The above results can provide theoretical guidance for the molecular breeding of disease resistance of strawberry.
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title_short	Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes
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Strawberry anthracnose is the most harmful disease in strawberry production, which causes huge production losses every year. Mining disease resistance genes and breeding high-quality strawberry varieties are the fundamental way to solve the problem of strawberry anthracnose. In this study, transcriptome analysis and disease resistance-related genes mining were targeted on strawberry anthracnose. The main results are as follows: (1) A total of 100.45 Gb clean reads were obtained, with no less than 6.26 Gb for each sample; (2) The clean reads for each sample were aligned to the reference genome efficiently at 91.30% − 92.27%; (3) 93,042 genes were annotated; (4) 16 anti-anthracnose-related genes were identified, including FaAUX1, FaARF18, FaSAUR50, FaGH3.6, FaAHP1, FaARR (3, 5 and 11), FaPYR1, FaPYL11, FaPP2C (6, 16, 24, 37 and 51) and FaPR1. 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Transcriptome analysis of strawberry (Fragaria × ananasa) responsive to Colletotrichum gloeosporioides inoculation and mining of resistance genes

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