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Halladakeri P, Gudi S, Akhtar S, Singh G, Saini DK, Hilli HJ, Sakure A, Macwana S, Mir RR. Meta-analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.). THE PLANT GENOME 2023; 16:e20342. [PMID: 37328945 DOI: 10.1002/tpg2.20342] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 06/18/2023]
Abstract
A meta-analysis of quantitative trait loci (QTLs), associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits was conducted for the first time in pigeonpea (Cajanus cajan L.). Data on 498 QTLs was collected from 9 linkage mapping studies (involving 21 biparental populations). Of these 498, 203 QTLs were projected onto "PigeonPea_ConsensusMap_2022," saturated with 10,522 markers, which resulted in the prediction of 34 meta-QTLs (MQTLs). The average confidence interval (CI) of these MQTLs (2.54 cM) was 3.37 times lower than the CI of the initial QTLs (8.56 cM). Of the 34 MQTLs, 12 high-confidence MQTLs with CI (≤5 cM) and a greater number of initial QTLs (≥5) were utilized to extract 2255 gene models, of which 105 were believed to be associated with different traits under study. Furthermore, eight of these MQTLs were observed to overlap with several marker-trait associations or significant SNPs identified in previous genome-wide association studies. Furthermore, synteny and ortho-MQTL analyses among pigeonpea and four related legumes crops, such as chickpea, pea, cowpea, and French bean, led to the identification of 117 orthologous genes from 20 MQTL regions. Markers associated with MQTLs can be employed for MQTL-assisted breeding as well as to improve the prediction accuracy of genomic selection in pigeonpea. Additionally, MQTLs may be subjected to fine mapping, and some of the promising candidate genes may serve as potential targets for positional cloning and functional analysis to elucidate the molecular mechanisms underlying the target traits.
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Affiliation(s)
- Priyanka Halladakeri
- Department of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India
| | - Santosh Gudi
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Sabina Akhtar
- College of Education, American University in the Emirates, Dubai, UAE
| | - Gurjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Harshavardan J Hilli
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Amar Sakure
- Department of Agricultural Biotechnology, Anand Agricultural University, Gujarat, India
| | - Sneha Macwana
- Department of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India
| | - Reyazul Rouf Mir
- Division of Genetics and Plant Breeding, Faculty of Agriculture, SKUAST-Kashmir, Wadura, India
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2
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Zang X, Liu J, Zhao J, Liu J, Ren J, Li L, Li X, Yang D. Uncovering mechanisms governing stem growth in peanut (Arachis hypogaea L.) with varying plant heights through integrated transcriptome and metabolomics analyses. JOURNAL OF PLANT PHYSIOLOGY 2023; 287:154052. [PMID: 37454530 DOI: 10.1016/j.jplph.2023.154052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/18/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
The mechanisms responsible for stem growth in peanut (Arachis hypogaea L.) cultivars with varying plant heights remain unclear, despite the significant impact of plant height on peanut yield. Therefore, this study aimed to investigate the underlying mechanisms of peanut stem growth using phenotypic, physiological, transcriptomic, and metabolomic analyses. The findings revealed that the tallest cultivar, HY33, exhibited the highest rate of stem growth and accumulated the most stem dry matter, followed by the intermediate cultivar, SH108, while the dwarf cultivar, Df216, displayed the lowest values. Furthermore, SH108 exhibited a higher harvest index, as well as superior pod and kernel yields compared to both HY33 and Df216. Transcriptome and metabolome analyses identified differentially expressed genes (DEGs) and differentially expressed metabolites (DEMs) associated with phenylpropanoid and flavonoid biosynthesis. Notably, downregulated DEGs in Df216/HY33 and Df216/SH108 included phenylalanine ammonia-lyase (PAL), caffeoyl-CoA O-methyltransferase (COMT), and ferulate-5-hydroxylase (F5H), while downregulated DEMs included p-coumaryl alcohol, chlorogenic acid, and L-epicatechin. Compared to HY33, the reduced activities of PAL, COMT, and F5H resulted in a decreased stem lignin content in Df216. Additionally, downregulated DEGs involved in gibberellin (GA) and brassinosteroid (BR) biosynthesis were identified in Df216/HY33, which contributed to the lowest levels of GA1, GA3, and BR contents in Df216. The results suggest that the dwarf phenotype arises from impaired GA and BR biosynthesis and signaling, resulting in a slower stem growth rate and reduced lignin accumulation.
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Affiliation(s)
- Xiuzhi Zang
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China
| | - Juan Liu
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China.
| | - Jihao Zhao
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China
| | - Jianbo Liu
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China
| | - Jinfeng Ren
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China
| | - Liuyin Li
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China
| | - Xiangdong Li
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China
| | - Dongqing Yang
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
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3
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Kassie FC, Nguepjop JR, Ngalle HB, Assaha DVM, Gessese MK, Abtew WG, Tossim HA, Sambou A, Seye M, Rami JF, Fonceka D, Bell JM. An Overview of Mapping Quantitative Trait Loci in Peanut ( Arachis hypogaea L.). Genes (Basel) 2023; 14:1176. [PMID: 37372356 DOI: 10.3390/genes14061176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/24/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Quantitative Trait Loci (QTL) mapping has been thoroughly used in peanut genetics and breeding in spite of the narrow genetic diversity and the segmental tetraploid nature of the cultivated species. QTL mapping is helpful for identifying the genomic regions that contribute to traits, for estimating the extent of variation and the genetic action (i.e., additive, dominant, or epistatic) underlying this variation, and for pinpointing genetic correlations between traits. The aim of this paper is to review the recently published studies on QTL mapping with a particular emphasis on mapping populations used as well as traits related to kernel quality. We found that several populations have been used for QTL mapping including interspecific populations developed from crosses between synthetic tetraploids and elite varieties. Those populations allowed the broadening of the genetic base of cultivated peanut and helped with the mapping of QTL and identifying beneficial wild alleles for economically important traits. Furthermore, only a few studies reported QTL related to kernel quality. The main quality traits for which QTL have been mapped include oil and protein content as well as fatty acid compositions. QTL for other agronomic traits have also been reported. Among the 1261 QTL reported in this review, and extracted from the most relevant studies on QTL mapping in peanut, 413 (~33%) were related to kernel quality showing the importance of quality in peanut genetics and breeding. Exploiting the QTL information could accelerate breeding to develop highly nutritious superior cultivars in the face of climate change.
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Affiliation(s)
- Fentanesh C Kassie
- Department of Plant Biology and Physiology, Faculty of Sciences, University of Yaounde I, Yaounde P.O. Box 337, Cameroon
- Department of Plant Science, College of Agriculture, Wolaita Sodo University, Sodo P.O. Box 138, Ethiopia
| | - Joël R Nguepjop
- UMR AGAP, CIRAD, F-34398 Montpellier, France
- AGAP Institute, Institut Agro, CIRAD, INRAE, University of Montpellier, F-34060 Montpellier, France
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Hermine B Ngalle
- Department of Plant Biology and Physiology, Faculty of Sciences, University of Yaounde I, Yaounde P.O. Box 337, Cameroon
| | - Dekoum V M Assaha
- Department of Agriculture, Higher Technical Teachers Training College, University of Buea, Kumba P.O. Box 249, Cameroon
| | - Mesfin K Gessese
- Department of Plant Science, College of Agriculture, Wolaita Sodo University, Sodo P.O. Box 138, Ethiopia
| | - Wosene G Abtew
- Department of Horticulture and Plant Science, College of Agriculture and Veterinary Medicine, Jimma University, Jimma P.O. Box 378, Ethiopia
| | - Hodo-Abalo Tossim
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Aissatou Sambou
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Maguette Seye
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Jean-François Rami
- UMR AGAP, CIRAD, F-34398 Montpellier, France
- AGAP Institute, Institut Agro, CIRAD, INRAE, University of Montpellier, F-34060 Montpellier, France
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Daniel Fonceka
- UMR AGAP, CIRAD, F-34398 Montpellier, France
- AGAP Institute, Institut Agro, CIRAD, INRAE, University of Montpellier, F-34060 Montpellier, France
- Centre d'Etudes Régional Pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS/ISRA), Route de Khombole, Thiès BP 3320, Senegal
- Dispositif de Recherche et de Formation en Partenariat, Innovation et Amélioration Variétale en Afrique de l'Ouest (IAVAO), CERAAS, Route de Khombole, Thiès BP 3320, Senegal
| | - Joseph M Bell
- Department of Plant Biology and Physiology, Faculty of Sciences, University of Yaounde I, Yaounde P.O. Box 337, Cameroon
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Song H, Guo Z, Zhang X, Sui J. De novo genes in Arachis hypogaea cv. Tifrunner: systematic identification, molecular evolution, and potential contributions to cultivated peanut. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 111:1081-1095. [PMID: 35748398 DOI: 10.1111/tpj.15875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 06/15/2023]
Abstract
De novo genes are derived from non-coding sequences, and they can play essential roles in organisms. Cultivated peanut (Arachis hypogaea) is a major oil and protein crop derived from a cross between Arachis duranensis and Arachis ipaensis. However, few de novo genes have been documented in Arachis. Here, we identified 381 de novo genes in A. hypogaea cv. Tifrunner based on comparison with five closely related Arachis species. There are distinct differences in gene expression patterns and gene structures between conserved and de novo genes. The identified de novo genes originated from ancestral sequence regions associated with metabolic and biosynthetic processes, and they were subsequently integrated into existing regulatory networks. De novo paralogs and homoeologs were identified in A. hypogaea cv. Tifrunner. De novo paralogs and homoeologs with conserved expression have mismatching cis-acting elements under normal growth conditions. De novo genes potentially have pluripotent functions in responses to biotic stresses as well as in growth and development based on quantitative trait locus data. This work provides a foundation for future research examining gene birth processes and gene function in Arachis and related taxa.
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Affiliation(s)
- Hui Song
- Grassland Agri-husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China
| | - Zhonglong Guo
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing, China
| | - Xiaojun Zhang
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
| | - Jiongming Sui
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
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5
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Wang J, Yan C, Shi D, Zhao X, Yuan C, Sun Q, Mou Y, Chen H, Li Y, Li C, Shan S. The Genetic Base for Peanut Height-Related Traits Revealed by a Meta-Analysis. PLANTS 2021; 10:plants10061058. [PMID: 34070508 PMCID: PMC8227209 DOI: 10.3390/plants10061058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/14/2021] [Accepted: 05/17/2021] [Indexed: 11/21/2022]
Abstract
Peanut (Arachis hypogaea L.) is an important oilseed crop worldwide, and peanut height has been shown to be closely related to yield, therefore a better understanding of the genetic base of plant height-related traits may allow us to have better control of crop yield. Plant height-related traits are quantitative traits that are genetically controlled by many genes, and distinct quantitive trait loci (QTLs) may be identified for different peanut accessions/genotypes. In the present study, in order to gain a more complete picture of the genetic base for peanut height-related traits, we first make use of the high quality NGS sequence data for 159 peanut accessions that are available within our research groups, to carry out a GWAS study for searching plant height-related regions. We then perform a literature survey and collect QTLs for two plant height-related traits (Ph: peanut main stem height, and Fbl: the first branch length) from earlier related QTL/GWAS studies in peanut. In total, we find 74 and 21 genomic regions that are, associated with traits Ph and Fbl, respectively. Annotation of these regions found a total of 692 and 229 genes for, respectively, Ph and Fbl, and among those genes, 158 genes are shared. KEGG and GO enrichment analyses of those candidate genes reveal that Ph- and Fbl-associated genes are both enriched in the biosynthesis of secondary metabolites, some basic processes, pathways, or complexes that are supposed to be crucial for plant development and growth.
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Affiliation(s)
- Juan Wang
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Caixia Yan
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Dachuan Shi
- Qingdao Academy of Agricultural Sciences, Qingdao 266100, China;
| | - Xiaobo Zhao
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Cuiling Yuan
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Quanxi Sun
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Yifei Mou
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Haoning Chen
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
| | - Yuan Li
- Computational Biology and Biological Physics, Astronomy and Theoretical Physics, Lund University, 22100 Lund, Sweden
- Correspondence: (Y.L.); (C.L.); (S.S.); Tel.: +46-(0)73-5854-860 (Y.L.); +86-(0)532-8762-9308 (C.L.); +86-532-8762-9307 (S.S.)
| | - Chunjuan Li
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
- Correspondence: (Y.L.); (C.L.); (S.S.); Tel.: +46-(0)73-5854-860 (Y.L.); +86-(0)532-8762-9308 (C.L.); +86-532-8762-9307 (S.S.)
| | - Shihua Shan
- Shandong Peanut Research Institute, Qingdao 266100, China; (J.W.); (C.Y.); (X.Z.); (C.Y.); (Q.S.); (Y.M.); (H.C.)
- Correspondence: (Y.L.); (C.L.); (S.S.); Tel.: +46-(0)73-5854-860 (Y.L.); +86-(0)532-8762-9308 (C.L.); +86-532-8762-9307 (S.S.)
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6
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Guo F, Ma J, Hou L, Shi S, Sun J, Li G, Zhao C, Xia H, Zhao S, Wang X, Zhao Y. Transcriptome profiling provides insights into molecular mechanism in Peanut semi-dwarf mutant. BMC Genomics 2020; 21:211. [PMID: 32138648 PMCID: PMC7059693 DOI: 10.1186/s12864-020-6614-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 02/24/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Plant height, mainly decided by main stem height, is the major agronomic trait and closely correlated to crop yield. A number of studies had been conducted on model plants and crops to understand the molecular and genetic basis of plant height. However, little is known on the molecular mechanisms of peanut main stem height. RESULTS In this study, a semi-dwarf peanut mutant was identified from 60Co γ-ray induced mutant population and designated as semi-dwarf mutant 2 (sdm2). The height of sdm2 was only 59.3% of its wild line Fenghua 1 (FH1) at the mature stage. The sdm2 has less internode number and short internode length to compare with FH1. Gene expression profiles of stem and leaf from both sdm2 and FH1 were analyzed using high throughput RNA sequencing. The differentially expressed genes (DEGs) were involved in hormone biosynthesis and signaling pathways, cell wall synthetic and metabolic pathways. BR, GA and IAA biosynthesis and signal transduction pathways were significantly enriched. The expression of several genes in BR biosynthesis and signaling were found to be significantly down-regulated in sdm2 as compared to FH1. Many transcription factors encoding genes were identified as DEGs. CONCLUSIONS A large number of genes were found differentially expressed between sdm2 and FH1. These results provide useful information for uncovering the molecular mechanism regulating peanut stem height. It could facilitate identification of causal genes for breeding peanut varieties with semi-dwarf phenotype.
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Affiliation(s)
- Fengdan Guo
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Junjie Ma
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China.,Life Science College of Shandong University, Jinan, 250100, People's Republic of China
| | - Lei Hou
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Suhua Shi
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Jinbo Sun
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Guanghui Li
- Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Chuanzhi Zhao
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Han Xia
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Shuzhen Zhao
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China
| | - Xingjun Wang
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China. .,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, People's Republic of China. .,Life Science College of Shandong University, Jinan, 250100, People's Republic of China.
| | - Yanxiu Zhao
- College of Life Science, Shandong Normal University, Jinan, People's Republic of China.
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Liu N, Guo J, Zhou X, Wu B, Huang L, Luo H, Chen Y, Chen W, Lei Y, Huang Y, Liao B, Jiang H. High-resolution mapping of a major and consensus quantitative trait locus for oil content to a ~ 0.8-Mb region on chromosome A08 in peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:37-49. [PMID: 31559527 PMCID: PMC6952344 DOI: 10.1007/s00122-019-03438-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 09/17/2019] [Indexed: 05/24/2023]
Abstract
KEY MESSAGE: ddRAD-seq-based high-density genetic map comprising 2595 loci identified a major and consensus QTL with a linked marker in a 0.8-Mb physical interval for oil content in peanut. Enhancing oil content is an important breeding objective in peanut. High-resolution mapping of quantitative trait loci (QTLs) with linked markers could facilitate marker-assisted selection in breeding for target traits. In the present study, a recombined inbred line population (Xuhua 13 × Zhonghua 6) was used to construct a genetic map based on double-digest restriction-site-associated DNA sequencing (ddRAD-seq). The resulting high-density genetic map contained 2595 loci, and spanned a length of 2465.62 cM, with an average distance of 0.95 cM/locus. Seven QTLs for oil content were identified on five linkage groups, including the major and stable QTL qOCA08.1 on chromosome A08 with 10.14-27.19% phenotypic variation explained. The physical interval of qOCA08.1 was further delimited to a ~ 0.8-Mb genomic region where two genes affecting oil synthesis had been annotated. The marker SNPOCA08 was developed targeting the SNP loci associated with oil content and validated in peanut cultivars with diverse oil contents. The major and stable QTL identified in the present study could be further dissected for gene discovery. Furthermore, the tightly linked marker for oil content would be useful in marker-assisted breeding in peanut.
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Affiliation(s)
- Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Yi Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, People's Republic of China.
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8
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Li L, Yang X, Cui S, Meng X, Mu G, Hou M, He M, Zhang H, Liu L, Chen CY. Construction of High-Density Genetic Map and Mapping Quantitative Trait Loci for Growth Habit-Related Traits of Peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2019; 10:745. [PMID: 31263472 PMCID: PMC6584813 DOI: 10.3389/fpls.2019.00745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/20/2019] [Indexed: 05/03/2023]
Abstract
Plant growth habit is an important and complex agronomic trait and is associated with yield, disease resistance, and mechanized harvesting in peanuts. There are at least two distinct growth habits (erect and prostrate) and several intermediate forms existing in the peanut germplasm. A recombinant inbred line population containing 188 individuals was developed from a cross of "Jihua 5" and "M130" for genetically dissecting the architecture of the growth habit. A new high-density genetic linkage map was constructed by using specific locus amplified fragment sequencing technology. The map contains 2,808 single-nucleotide polymorphism markers distributed on 20 linkage groups with a total length of 1,308.20 cM and an average inter-marker distance of 0.47 cM. The quantitative trait locus (QTL) analysis of the growth habit-related traits was conducted based on phenotyping data from seven environments. A total of 39 QTLs for growth habit-related traits was detected on 10 chromosomes explaining 4.55-27.74% of the phenotypic variance, in which 6 QTLs were for lateral branch angle, 8 QTLs were for extent radius, 7 QTLs were for the index of plant type, 11 QTLs were for main stem height, and 7 QTLs were for lateral branch length. Among these QTLs, 12 were co-localized on chromosome B05 spanning an approximately 0.17 Mb physical interval in comparison with the allotetraploid reference genome of "Tifrunner." Analysis of the co-localized genome region has shown that the putative genes are involved in light and hormones and will facilitate peanut growth habit molecular breeding and study of peanut domestication.
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Affiliation(s)
- Li Li
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, United States
| | - Xinlei Yang
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, United States
| | - Shunli Cui
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Xinhao Meng
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Guojun Mu
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Mingyu Hou
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Meijing He
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Hui Zhang
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, United States
| | - Lifeng Liu
- North China Key Laboratory for Crop Germplasm Resources of Education Ministry, College of Agronomy, Hebei Agricultural University, Baoding, China
- *Correspondence: Lifeng Liu,
| | - Charles Y. Chen
- Department of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, United States
- Charles Y. Chen,
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