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Raman H, Raman R, Sharma N, Cui X, McVittie B, Qiu Y, Zhang Y, Hu Q, Liu S, Gororo N. Novel quantitative trait loci from an interspecific Brassica rapa derivative improve pod shatter resistance in Brassica napus. FRONTIERS IN PLANT SCIENCE 2023; 14:1233996. [PMID: 37736615 PMCID: PMC10510201 DOI: 10.3389/fpls.2023.1233996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 07/31/2023] [Indexed: 09/23/2023]
Abstract
Pod shatter is a trait of agricultural relevance that ensures plants dehisce seeds in their native environment and has been subjected to domestication and selection for non-shattering types in several broadacre crops. However, pod shattering causes a significant yield reduction in canola (Brassica napus L.) crops. An interspecific breeding line BC95042 derived from a B. rapa/B. napus cross showed improved pod shatter resistance (up to 12-fold than a shatter-prone B. napus variety). To uncover the genetic basis and improve pod shatter resistance in new varieties, we analysed F2 and F2:3 derived populations from the cross between BC95042 and an advanced breeding line, BC95041, and genotyped with 15,498 DArTseq markers. Through genome scan, interval and inclusive composite interval mapping analyses, we identified seven quantitative trait loci (QTLs) associated with pod rupture energy, a measure for pod shatter resistance or pod strength, and they locate on A02, A03, A05, A09 and C01 chromosomes. Both parental lines contributed alleles for pod shatter resistance. We identified five pairs of significant epistatic QTLs for additive x additive, additive dominance and dominance x dominance interactions between A01/C01, A03/A07, A07/C03, A03/C03, and C01/C02 chromosomes for rupture energy. QTL effects on A03/A07 and A01/C01 were in the repulsion phase. Comparative mapping identified several candidate genes (AG, ABI3, ARF3, BP1, CEL6, FIL, FUL, GA2OX2, IND, LATE, LEUNIG, MAGL15, RPL, QRT2, RGA, SPT and TCP10) underlying main QTL and epistatic QTL interactions for pod shatter resistance. Three QTLs detected on A02, A03, and A09 were near the FUL (FRUITFULL) homologues BnaA03g39820D and BnaA09g05500D. Focusing on the FUL, we investigated putative motifs, sequence variants and the evolutionary rate of its homologues in 373 resequenced B. napus accessions of interest. BnaA09g05500D is subjected to purifying selection as it had a low Ka/Ks ratio compared to other FUL homologues in B. napus. This study provides a valuable resource for genetic improvement for yield through an understanding of the genetic mechanism controlling pod shatter resistance in Brassica species.
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Affiliation(s)
- Harsh Raman
- New South Wales (NSW) Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
| | - Rosy Raman
- New South Wales (NSW) Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
| | - Niharika Sharma
- New South Wales (NSW) Department of Primary Industries, Orange Agricultural Institute, Orange, NSW, Australia
| | - Xiaobo Cui
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Brett McVittie
- New South Wales (NSW) Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
| | - Yu Qiu
- New South Wales (NSW) Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
| | - Yuanyuan Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Qiong Hu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Shengyi Liu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, China
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Zhai S, Liu H, Xia X, Li H, Cao X, He Z, Ma W, Liu C, Song J, Liu A, Zhang J, Liu J. Functional analysis of polyphenol oxidase 1 gene in common wheat. FRONTIERS IN PLANT SCIENCE 2023; 14:1171839. [PMID: 37583591 PMCID: PMC10424926 DOI: 10.3389/fpls.2023.1171839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 07/07/2023] [Indexed: 08/17/2023]
Abstract
Polyphenol oxidase (PPO) activity is a major cause of the undesirable brown color of wheat-based products. Ppo1, a major gene for PPO activity, was cloned based on sequence homology in previous studies; however, its function and regulation mechanism remain unclear. In this study, the function and genetic regulation of Ppo1 were analyzed using RNA interference (RNAi) and Targeting Induced Local Lesions IN Genomes (TILLING) technology, and superior mutants were identified. Compared with the control, the level of Ppo1 transcript in RNAi transgenic lines was drastically decreased by 15.5%-60.9% during grain development, and PPO activity was significantly reduced by 12.9%-20.4%, confirming the role of Ppo1 in PPO activity. Thirty-two Ppo1 mutants were identified in the ethyl methanesulfonate (EMS)-mutagenized population, including eight missense mutations, 16 synonymous mutations, and eight intron mutations. The expression of Ppo1 was reduced significantly by 6.7%-37.1% and 10.1%-54.4% in mutants M092141 (G311S) and M091098 (G299R), respectively, in which PPO activity was decreased by 29.7% and 28.8%, respectively, indicating that mutation sites of two mutants have important effects on PPO1 function. Sequence and structure analysis revealed that the two sites were highly conserved among 74 plant species, where the frequency of glycine was 94.6% and 100%, respectively, and adjacent to the entrance of the hydrophobic pocket of the active site. The M092141 and M091098 mutants can be used as important germplasms to develop wheat cultivars with low grain PPO activity. This study provided important insights into the molecular mechanism of Ppo1 and the genetic improvement of wheat PPO activity.
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Affiliation(s)
- Shengnan Zhai
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Hang Liu
- Australian-China Joint Centre for Wheat Improvement, Western Australian State Agriculture Biotechnology Centre, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Xianchun Xia
- National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Haosheng Li
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Xinyou Cao
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Zhonghu He
- National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wujun Ma
- Australian-China Joint Centre for Wheat Improvement, Western Australian State Agriculture Biotechnology Centre, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Cheng Liu
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jianmin Song
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Aifeng Liu
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jingjuan Zhang
- Australian-China Joint Centre for Wheat Improvement, Western Australian State Agriculture Biotechnology Centre, College of Science, Health, Engineering and Education, Murdoch University, Perth, WA, Australia
| | - Jianjun Liu
- National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
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Filip E, Woronko K, Stępień E, Czarniecka N. An Overview of Factors Affecting the Functional Quality of Common Wheat ( Triticum aestivum L.). Int J Mol Sci 2023; 24:ijms24087524. [PMID: 37108683 PMCID: PMC10142556 DOI: 10.3390/ijms24087524] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/03/2023] [Accepted: 04/16/2023] [Indexed: 04/29/2023] Open
Abstract
Wheat (Triticum aestivum L.) is one of the most important crops worldwide, and, as a resilient cereal, it grows in various climatic zones. Due to changing climatic conditions and naturally occurring environmental fluctuations, the priority problem in the cultivation of wheat is to improve the quality of the crop. Biotic and abiotic stressors are known factors leading to the deterioration of wheat grain quality and to crop yield reduction. The current state of knowledge on wheat genetics shows significant progress in the analysis of gluten, starch, and lipid genes responsible for the synthesis of the main nutrients in the endosperm of common wheat grain. By identifying these genes through transcriptomics, proteomics, and metabolomics studies, we influence the creation of high-quality wheat. In this review, previous works were assessed to investigate the significance of genes, puroindolines, starches, lipids, and the impact of environmental factors, as well as their effects on the wheat grain quality.
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Affiliation(s)
- Ewa Filip
- Institute of Biology, University of Szczecin, 13 Wąska, 71-415 Szczecin, Poland
| | - Karolina Woronko
- Institute of Biology, University of Szczecin, 13 Wąska, 71-415 Szczecin, Poland
| | - Edyta Stępień
- Institute of Marine and Environmental Sciences, University of Szczecin, Adama Mickiewicza 16, 70-383 Szczecin, Poland
| | - Natalia Czarniecka
- Institute of Biology, University of Szczecin, 13 Wąska, 71-415 Szczecin, Poland
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Raman R, Warren A, Krysinska-Kaczmarek M, Rohan M, Sharma N, Dron N, Davidson J, Moore K, Hobson K. Genome-Wide Association Analyses Track Genomic Regions for Resistance to Ascochyta rabiei in Australian Chickpea Breeding Germplasm. FRONTIERS IN PLANT SCIENCE 2022; 13:877266. [PMID: 35665159 PMCID: PMC9159299 DOI: 10.3389/fpls.2022.877266] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/08/2022] [Indexed: 05/05/2023]
Abstract
Ascochyta blight (AB), caused by a necrotrophic fungus, Ascochyta rabiei (syn. Phoma rabiei) has the potential to destroy the chickpea industry worldwide, due to limited sources of genetic resistance in the cultivated gene pool, high evolutionary potential of the pathogen and challenges with integrated disease management. Therefore, the deployment of stable genetic resistance in new cultivars could provide an effective disease control strategy. To investigate the genetic basis of AB resistance, genotyping-by-sequencing based DArTseq-single nucleotide polymorphism (SNP) marker data along with phenotypic data of 251 advanced breeding lines and chickpea cultivars were used to perform genome-wide association (GWAS) analysis. Host resistance was evaluated seven weeks after sowing using two highly aggressive single spore isolates (F17191-1 and TR9571) of A. rabiei. GWAS analyses based on single-locus and multi-locus mixed models and haplotyping trend regression identified twenty-six genomic regions on Ca1, Ca4, and Ca6 that showed significant association with resistance to AB. Two haplotype blocks (HB) on chromosome Ca1; HB5 (992178-1108145 bp), and HB8 (1886221-1976301 bp) were associated with resistance against both isolates. Nine HB on the chromosome, Ca4, spanning a large genomic region (14.9-56.6 Mbp) were also associated with resistance, confirming the role of this chromosome in providing resistance to AB. Furthermore, trait-marker associations in two F3 derived populations for resistance to TR9571 isolate at the seedling stage under glasshouse conditions were also validated. Eighty-nine significantly associated SNPs were located within candidate genes, including genes encoding for serine/threonine-protein kinase, Myb protein, quinone oxidoreductase, and calmodulin-binding protein all of which are implicated in disease resistance. Taken together, this study identifies valuable sources of genetic resistance, SNP markers and candidate genes underlying genomic regions associated with AB resistance which may enable chickpea breeding programs to make genetic gains via marker-assisted/genomic selection strategies.
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Affiliation(s)
- Rosy Raman
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
- *Correspondence: Rosy Raman,
| | - Annie Warren
- NSW Department of Primary Industries, Tamworth Agricultural Institute, Tamworth, NSW, Australia
| | | | - Maheswaran Rohan
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
| | - Niharika Sharma
- NSW Department of Primary Industries, Orange Agricultural Institute, Orange, NSW, Australia
| | - Nicole Dron
- NSW Department of Primary Industries, Tamworth Agricultural Institute, Tamworth, NSW, Australia
| | - Jenny Davidson
- South Australian Research and Development Institute, Urrbrae, SA, Australia
| | - Kevin Moore
- NSW Department of Primary Industries, Tamworth Agricultural Institute, Tamworth, NSW, Australia
| | - Kristy Hobson
- NSW Department of Primary Industries, Tamworth Agricultural Institute, Tamworth, NSW, Australia
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In-depth genetic analysis reveals conditioning of polyphenol oxidase activity in wheat grains by cis regulation of TaPPO2A-1 expression level. Genomics 2020; 112:4690-4700. [DOI: 10.1016/j.ygeno.2020.08.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 08/10/2020] [Accepted: 08/14/2020] [Indexed: 01/19/2023]
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Raman R, Qiu Y, Coombes N, Song J, Kilian A, Raman H. Molecular Diversity Analysis and Genetic Mapping of Pod Shatter Resistance Loci in Brassica carinata L. FRONTIERS IN PLANT SCIENCE 2017; 8:1765. [PMID: 29250080 PMCID: PMC5716317 DOI: 10.3389/fpls.2017.01765] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 09/27/2017] [Indexed: 05/05/2023]
Abstract
Seed lost due to easy pod dehiscence at maturity (pod shatter) is a major problem in several members of Brassicaceae family. We investigated the level of pod shatter resistance in Ethiopian mustard (Brassica carinata) and identified quantitative trait loci (QTL) for targeted introgression of this trait in Ethiopian mustard and its close relatives of the genus Brassica. A set of 83 accessions of B. carinata, collected from the Australian Grains Genebank, was evaluated for pod shatter resistance based on pod rupture energy (RE). In comparison to B. napus (RE = 2.16 mJ), B. carinata accessions had higher RE values (2.53 to 20.82 mJ). A genetic linkage map of an F2 population from two contrasting B. carinata selections, BC73526 (shatter resistant with high RE) and BC73524 (shatter prone with low RE) comprising 300 individuals, was constructed using a set of 6,464 high quality DArTseq markers and subsequently used for QTL analysis. Genetic analysis of the F2 and F2:3 derived lines revealed five statistically significant QTL (LOD ≥ 3) that are linked with pod shatter resistance on chromosomes B1, B3, B8, and C5. Herein, we report for the first time, identification of genetic loci associated with pod shatter resistance in B. carinata. These characterized accessions would be useful in Brassica breeding programs for introgression of pod shatter resistance alleles in to elite breeding lines. Molecular markers would assist marker-assisted selection for tracing the introgression of resistant alleles. Our results suggest that the value of the germplasm collections can be harnessed through genetic and genomics tools.
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Affiliation(s)
- Rosy Raman
- Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
- Wagga Wagga Agricultural Institute, NSW Department of Primary Industries, Wagga Wagga, NSW, Australia
- *Correspondence: Rosy Raman,
| | - Yu Qiu
- Wagga Wagga Agricultural Institute, NSW Department of Primary Industries, Wagga Wagga, NSW, Australia
| | - Neil Coombes
- Wagga Wagga Agricultural Institute, NSW Department of Primary Industries, Wagga Wagga, NSW, Australia
| | - Jie Song
- Diversity Arrays Technology Pty. Ltd., University of Canberra, Canberra, ACT, Australia
| | - Andrzej Kilian
- Diversity Arrays Technology Pty. Ltd., University of Canberra, Canberra, ACT, Australia
| | - Harsh Raman
- Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, Australia
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Raman H, Raman R, Coombes N, Song J, Prangnell R, Bandaranayake C, Tahira R, Sundaramoorthi V, Killian A, Meng J, Dennis ES, Balasubramanian S. Genome-wide association analyses reveal complex genetic architecture underlying natural variation for flowering time in canola. PLANT, CELL & ENVIRONMENT 2016; 39:1228-39. [PMID: 26428711 DOI: 10.1111/pce.12644] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 09/17/2015] [Accepted: 09/20/2015] [Indexed: 05/17/2023]
Abstract
Optimum flowering time is the key to maximize canola production in order to meet global demand of vegetable oil, biodiesel and canola-meal. We reveal extensive variation in flowering time across diverse genotypes of canola under field, glasshouse and controlled environmental conditions. We conduct a genome-wide association study and identify 69 single nucleotide polymorphism (SNP) markers associated with flowering time, which are repeatedly detected across experiments. Several associated SNPs occur in clusters across the canola genome; seven of them were detected within 20 Kb regions of a priori candidate genes; FLOWERING LOCUS T, FRUITFUL, FLOWERING LOCUS C, CONSTANS, FRIGIDA, PHYTOCHROME B and an additional five SNPs were localized within 14 Kb of a previously identified quantitative trait loci for flowering time. Expression analyses showed that among FLC paralogs, BnFLC.A2 accounts for ~23% of natural variation in diverse accessions. Genome-wide association analysis for FLC expression levels mapped not only BnFLC.C2 but also other loci that contribute to variation in FLC expression. In addition to revealing the complex genetic architecture of flowering time variation, we demonstrate that the identified SNPs can be modelled to predict flowering time in diverse canola germplasm accurately and hence are suitable for genomic selection of adaptative traits in canola improvement programmes.
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Affiliation(s)
- H Raman
- Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia
| | - R Raman
- Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia
| | - N Coombes
- Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia
| | - J Song
- Diversity Arrays Technology P/L, University of Canberra, Canberra, ACT, 2601, Australia
| | - R Prangnell
- Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia
| | - C Bandaranayake
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - R Tahira
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - V Sundaramoorthi
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - A Killian
- Diversity Arrays Technology P/L, University of Canberra, Canberra, ACT, 2601, Australia
| | - J Meng
- National Key Laboratory of Crop Improvement, Huazhong Agricultural University, Wuhan, China
| | - E S Dennis
- CSIRO Division of Plant Industry, Canberra, ACT, 2601, Australia
| | - S Balasubramanian
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
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Hystad SM, Giroux MJ, Martin JM. Impact of Null Polyphenol Oxidase Alleles on White Salted Noodles. Cereal Chem 2016. [DOI: 10.1094/cchem-05-15-0105-r] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Steven M. Hystad
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59717, U.S.A
| | - Michael J. Giroux
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59717, U.S.A
| | - John M. Martin
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59717, U.S.A
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Zhai S, He Z, Wen W, Jin H, Liu J, Zhang Y, Liu Z, Xia X. Genome-wide linkage mapping of flour color-related traits and polyphenol oxidase activity in common wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2016; 129:377-94. [PMID: 26602234 DOI: 10.1007/s00122-015-2634-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Accepted: 11/04/2015] [Indexed: 05/08/2023]
Abstract
KEY MESSAGE Fifty-six QTL for flour color-related traits and polyphenol oxidase activity were identified using a genome-wide linkage mapping of data from a RIL population derived from a Gaocheng 8901/Zhoumai 16 cross. ABSTRACT Flour color-related traits, including L*, a*, b*, yellow pigment content (YPC), and polyphenol oxidase (PPO) activity are important parameters influencing the quality of wheat end-use products. Mapping quantitative trait loci (QTL) for these traits and characterization of candidate genes are important for improving wheat quality. The aims of this study were to identify QTL for flour color-related traits and PPO activity and to characterize candidate genes using a high-density genetic linkage map in a common wheat recombinant inbred line (RIL) population derived from a cross between Gaocheng 8901 and Zhoumai 16. A linkage map was constructed by genotyping the RILs with the wheat 90 K iSelect array. Fifty-six QTL were mapped on 35 chromosome regions on homoeologous groups 1, 2, 5 and 7 chromosomes, and chromosomes 3B, 4A, 4B and 6B. Four QTL were for PPO activity, and the others were for flour color-related traits. Compared with previous studies, five QTL for a*, two for b*, one for L*, one for YPC and one for PPO activity were new. The new QTL on chromosome 2DL was involved in both a* and YPC, and another on chromosome 7DS affected both a* and L*. The scan for SNP sequences tightly linked to QTL for flour color-related traits against the wheat and/or related cereals genomes identified six candidate genes significantly related to these traits, and five of them were associated with the terpenoid backbone biosynthesis pathway. The high-density genetic linkage map of Gaocheng 8901/Zhoumai 16 represents a useful tool to identify QTL for important quality traits and candidate genes.
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Affiliation(s)
- Shengnan Zhai
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- Department of Plant Genetics and Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Zhonghu He
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Weie Wen
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
- College of Agronomy, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi, Xinjiang, 830052, China
| | - Hui Jin
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Jindong Liu
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yong Zhang
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhiyong Liu
- Department of Plant Genetics and Breeding/State Key Laboratory for Agrobiotechnology, China Agricultural University, 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Xianchun Xia
- Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China.
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Raman H, Raman R, Eckermann P, Coombes N, Manoli S, Zou X, Edwards D, Meng J, Prangnell R, Stiller J, Batley J, Luckett D, Wratten N, Dennis E. Genetic and physical mapping of flowering time loci in canola (Brassica napus L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2013; 126:119-32. [PMID: 22955939 DOI: 10.1007/s00122-012-1966-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2012] [Accepted: 08/10/2012] [Indexed: 05/18/2023]
Abstract
We identified quantitative trait loci (QTL) underlying variation for flowering time in a doubled haploid (DH) population of vernalisation-responsive canola (Brassica napus L.) cultivars Skipton and Ag-Spectrum and aligned them with physical map positions of predicted flowering genes from the Brassica rapa genome. Significant genetic variation in flowering time and response to vernalisation were observed among the DH lines from Skipton/Ag-Spectrum. A molecular linkage map was generated comprising 674 simple sequence repeat, sequence-related amplified polymorphism, sequence characterised amplified region, Diversity Array Technology, and candidate gene based markers loci. QTL analysis indicated that flowering time is a complex trait and is controlled by at least 20 loci, localised on ten different chromosomes. These loci each accounted for between 2.4 and 28.6% of the total genotypic variation for first flowering and response to vernalisation. However, identification of consistent QTL was found to be dependant upon growing environments. We compared the locations of QTL with the physical positions of predicted flowering time genes located on the sequenced genome of B. rapa. Some QTL associated with flowering time on A02, A03, A07, and C06 may represent homologues of known flowering time genes in Arabidopsis; VERNALISATION INSENSITIVE 3, APETALA1, CAULIFLOWER, FLOWERING LOCUS C, FLOWERING LOCUS T, CURLY LEAF, SHORT VEGETATIVE PHASE, GA3 OXIDASE, and LEAFY. Identification of the chromosomal location and effect of the genes influencing flowering time may hasten the development of canola varieties having an optimal time for flowering in target environments such as for low rainfall areas, via marker-assisted selection.
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Affiliation(s)
- Harsh Raman
- EH Graham Centre for Agricultural Innovation (an alliance between NSWDPI and Charles Sturt University), Wagga Wagga, Australia.
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Nilthong S, Graybosch RA, Baenziger PS. Inheritance of grain polyphenol oxidase (PPO) activity in multiple wheat (Triticum aestivum L.) genetic backgrounds. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 125:1705-1715. [PMID: 22864385 DOI: 10.1007/s00122-012-1947-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2012] [Accepted: 07/15/2012] [Indexed: 06/01/2023]
Abstract
Grain polyphenol oxidase (PPO) activity can cause discoloration of wheat (Triticum aestivum L.) food products. Five crosses (PI 117635/Antelope; Fielder/NW03681; Fielder/Antelope; NW07OR1070/Antelope; NW07OR1066/OR2050272H) were selected to study the genetic inheritance of PPO activity. STS markers, PPO18, PPO29 and STS01, were used to identify lines with putative alleles at the Ppo-A1 and Ppo-D1 loci conditioning low or high PPO activity. ANOVA showed significant genotypic effects on PPO activity (P < 0.0001) in all populations. The generations and generation × genotype effects were not significant in any population. A putative third (null) genotype at Ppo-A1 (no PCR fragments for PPO18) was discovered in NW07OR1066 and NW07OR1070 derived populations, and these had the lowest mean PPO activities. Results demonstrated that both Ppo-A1 and Ppo-D1 loci affect the kernel PPO activity, but the Ppo-A1 has the major effect. In three populations, contrary results were observed to those predicted from previous work with Ppo-D1 alleles, suggesting the markers for Ppo-D1 allele might give erroneous results in some genetic backgrounds or lineages. Results suggest that selection for low or null alleles only at Ppo-A1 might allow development of low PPO wheat cultivars.
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Affiliation(s)
- Somrudee Nilthong
- Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583, USA
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Raman R, Taylor B, Marcroft S, Stiller J, Eckermann P, Coombes N, Rehman A, Lindbeck K, Luckett D, Wratten N, Batley J, Edwards D, Wang X, Raman H. Molecular mapping of qualitative and quantitative loci for resistance to Leptosphaeria maculans causing blackleg disease in canola (Brassica napus L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 125:405-18. [PMID: 22454144 DOI: 10.1007/s00122-012-1842-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2011] [Accepted: 03/05/2012] [Indexed: 05/02/2023]
Abstract
Blackleg, caused by Leptosphaeria maculans, is one of the most important diseases of oilseed and vegetable crucifiers worldwide. The present study describes (1) the construction of a genetic linkage map, comprising 255 markers, based upon simple sequence repeats (SSR), sequence-related amplified polymorphism, sequence tagged sites, and EST-SSRs and (2) the localization of qualitative (race-specific) and quantitative (race non-specific) trait loci controlling blackleg resistance in a doubled-haploid population derived from the Australian canola (Brassica napus L.) cultivars Skipton and Ag-Spectrum using the whole-genome average interval mapping approach. Marker regression analyses revealed that at least 14 genomic regions with LOD ≥ 2.0 were associated with qualitative and quantitative blackleg resistance, explaining 4.6-88.9 % of genotypic variation. A major qualitative locus, designated RlmSkipton (Rlm4), was mapped on chromosome A7, within 0.8 cM of the SSR marker Xbrms075. Alignment of the molecular markers underlying this QTL region with the genome sequence data of B. rapa L. suggests that RlmSkipton is located approximately 80 kb from the Xbrms075 locus. Molecular marker-RlmSkipton linkage was further validated in an F(2) population from Skipton/Ag-Spectrum. Our results show that SSR markers linked to consistent genomic regions are suitable for enrichment of favourable alleles for blackleg resistance in canola breeding programs.
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Affiliation(s)
- Rosy Raman
- EH Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga, NSW 2650, Australia
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13
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Beecher BS, Carter AH, See DR. Genetic mapping of new seed-expressed polyphenol oxidase genes in wheat (Triticum aestivum L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 124:1463-73. [PMID: 22311372 DOI: 10.1007/s00122-012-1801-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2011] [Accepted: 01/05/2012] [Indexed: 05/22/2023]
Abstract
Polyphenol oxidase (PPO) enzymatic activity is a major cause in time-dependent discoloration in wheat dough products. The PPO-A1 and PPO-D1 genes have been shown to contribute to wheat kernel PPO activity. Recently a novel PPO gene family consisting of the PPO-A2, PPO-B2, and PPO-D2 genes has been identified and shown to be expressed in wheat kernels. In this study, the sequences of these five kernel PPO genes were determined for the spring wheat cultivars Louise and Penawawa. The two cultivars were found to be polymorphic at each of the PPO loci. Three novel alleles were isolated from Louise. The Louise X Penawawa mapping population was used to genetically map all five PPO genes. All map to the long arm of homeologous group 2 chromosomes. PPO-A2 was found to be located 8.9 cM proximal to PPO-A1 on the long arm of chromosome 2A. Similarly, PPO-D1 and PPO-D2 were separated by 10.7 cM on the long arm of chromosome 2D. PPO-B2 mapped to the long arm of chromosome 2B and was the site of a novel QTL for polyphenol oxidase activity. Five other PPO QTL were identified in this study. One QTL corresponds to the previously described PPO-D1 locus, one QTL corresponds to the PPO-D2 locus, whereas the remaining three are located on chromosome 2B.
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Affiliation(s)
- Brian S Beecher
- USDA-ARS, Wheat Genetics, Quality, Physiology and Disease Research, Pullman, WA 99164-6394, USA.
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Martin JM, Berg JE, Hofer P, Kephart KD, Nash D, Bruckner PL. Allelic variation of polyphenol oxidase genes impacts on Chinese raw noodle color. J Cereal Sci 2011. [DOI: 10.1016/j.jcs.2011.08.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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15
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Beecher B, Skinner DZ. Molecular cloning and expression analysis of multiple polyphenol oxidase genes in developing wheat (Triticum aestivum) kernels. J Cereal Sci 2011. [DOI: 10.1016/j.jcs.2011.01.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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16
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Sun Y, He Z, Ma W, Xia X. Alternative splicing in the coding region of Ppo-A1 directly influences the polyphenol oxidase activity in common wheat (Triticum aestivum L.). Funct Integr Genomics 2010; 11:85-93. [PMID: 21046181 DOI: 10.1007/s10142-010-0201-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2010] [Revised: 10/17/2010] [Accepted: 10/19/2010] [Indexed: 01/11/2023]
Abstract
Polyphenol oxidase (PPO) plays a crucial role in browning reactions in fresh and processed fruits and vegetables, as well as products made from cereal grains. Common wheat (Triticum aestivum L.) has a large genome, representing an interesting system to advance our understanding of plant PPO gene expression, regulation and function. In the present study, we characterized the expression of Ppo-A1, a major PPO gene located on wheat chromosome 2A, using DNA sequencing, semi-quantitative RT-PCR, PPO activity assays and whole-grain staining methods during grain development. The results indicated that the expression of the Ppo-A1b allele was regulated by alternative splicing of pre-mRNAs, resulting from a 191-bp insertion in intron 1 and one C/G SNP in exon 2. Eight mRNA isoforms were identified in developing grains based on alignments between cDNA and genomic DNA sequences. Only the constitutively spliced isoform b encodes a putative full-length PPO protein based on its coding sequence whereas the other seven spliced isoforms, a, c, d, e, f, g and h, have premature termination codons resulting in potential nonsense-mediated mRNA decay. The differences in expression of Ppo-A1a and Ppo-A1b were confirmed by PPO activity assays and whole grain staining, providing direct evidence for the influence of alternative splicing in the coding region of Ppo-A1 on polyphenol oxidase activity in common wheat grains.
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Affiliation(s)
- Youwei Sun
- Institute of Crop Science, National Wheat Improvement Centre/The National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China
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Taketa S, Matsuki K, Amano S, Saisho D, Himi E, Shitsukawa N, Yuo T, Noda K, Takeda K. Duplicate polyphenol oxidase genes on barley chromosome 2H and their functional differentiation in the phenol reaction of spikes and grains. JOURNAL OF EXPERIMENTAL BOTANY 2010; 61:3983-93. [PMID: 20616156 PMCID: PMC2935872 DOI: 10.1093/jxb/erq211] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2010] [Revised: 05/24/2010] [Accepted: 06/18/2010] [Indexed: 05/22/2023]
Abstract
Polyphenol oxidases (PPOs) are copper-containing metalloenzymes encoded in the nucleus and transported into the plastids. Reportedly, PPOs cause time-dependent discoloration (browning) of end-products of wheat and barley, which impairs their appearance quality. For this study, two barley PPO homologues were amplified using PCR with a primer pair designed in the copper binding domains of the wheat PPO genes. The full-lengths of the respective PPO genes were cloned using a BAC library, inverse-PCR, and 3'-RACE. Linkage analysis showed that the polymorphisms in PPO1 and PPO2 co-segregated with the phenol reaction phenotype of awns. Subsequent RT-PCR experiments showed that PPO1 was expressed in hulls and awns, and that PPO2 was expressed in the caryopses. Allelic variation of PPO1 and PPO2 was analysed in 51 barley accessions with the negative phenol reaction of awns. In PPO1, amino acid substitutions of five types affecting functionally important motif(s) or C-terminal region(s) were identified in 40 of the 51 accessions tested. In PPO2, only one mutant allele with a precocious stop codon resulting from an 8 bp insertion in the first exon was found in three of the 51 accessions tested. These observations demonstrate that PPO1 is the major determinant controlling the phenol reaction of awns. Comparisons of PPO1 single mutants and the PPO1PPO2 double mutant indicate that PPO2 controls the phenol reaction in the crease on the ventral side of caryopses. An insertion of a hAT-family transposon in the promoter region of PPO2 may be responsible for different expression patterns of the duplicate PPO genes in barley.
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Affiliation(s)
- Shin Taketa
- Institute of Plant Science and Resources, 2-20-1 Chuo, Okayama University, Kurashiki 710-0046, Japan.
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Raman R, Allen H, Diffey S, Raman H, Martin P, McKelvie K. Localisation of quantitative trait loci for quality attributes in a doubled haploid population of wheat (Triticum aestivum L.). Genome 2009; 52:701-15. [PMID: 19767900 DOI: 10.1139/g09-045] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Selection of wheat germplasm for a range of quality traits has been a challenging exercise because of the cost of testing, the variation within testing data, and a poor understanding of the underlying genetics. The objective of this study was to identify quantitative trait loci (QTLs) underlying quality traits in wheat. A doubled haploid population comprising 190 lines from Chara/WW2449 was grown in two different environments and evaluated for various quality traits. A molecular map comprising 362 markers based upon simple sequence repeat, sequence tagged microsatellite, glutenin, and DArT loci was constructed and subsequently exploited to identify QTLs using a whole-genome approach. Fifteen QTLs that were consistent in the two different environments were identified for thousand kernel mass, grain protein content, milling yield, flour protein content, flour colour, flour water absorption, dough development time, dough strength (extensograph height and resistance at 5 cm), and dough extensibility (extensograph length) using the whole genome average interval mapping approach. The amount of genetic variation explained by individual QTLs ranged from 3% to 49%. A number of QTLs associated with dough strength, dough extensibility, dough development time, and flour water absorption were located close to the glutenin Glu-B1 locus on chromosome 1B. Identification of the chromosomal location and effect of the QTLs influencing wheat quality may hasten the development of superior wheats for target markets via marker-assisted selection.
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Affiliation(s)
- R Raman
- NSW Department of Plant Industries and NSW Agricultural Genomics Centre, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia
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Fuerst EP, Xu SS, Beecher B. Genetic characterization of kernel polyphenol oxidases in wheat and related species. J Cereal Sci 2008. [DOI: 10.1016/j.jcs.2007.10.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Thipyapong P, Stout MJ, Attajarusit J. Functional analysis of polyphenol oxidases by antisense/sense technology. Molecules 2007; 12:1569-95. [PMID: 17960074 PMCID: PMC6149088 DOI: 10.3390/12081569] [Citation(s) in RCA: 98] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2007] [Revised: 07/19/2007] [Accepted: 07/19/2007] [Indexed: 11/16/2022] Open
Abstract
Polyphenol oxidases (PPOs) catalyze the oxidation of phenolics to quinones, the secondary reactions of which lead to oxidative browning and postharvest losses of many fruits and vegetables. PPOs are ubiquitous in angiosperms, are inducible by both biotic and abiotic stresses, and have been implicated in several physiological processes including plant defense against pathogens and insects, the Mehler reaction, photoreduction of molecular oxygen by PSI, regulation of plastidic oxygen levels, aurone biosynthesis and the phenylpropanoid pathway. Here we review experiments in which the roles of PPO in disease and insect resistance as well as in the Mehler reaction were investigated using transgenic tomato (Lycopersicon esculentum) plants with modified PPO expression levels (suppressed PPO and overexpressing PPO). These transgenic plants showed normal growth, development and reproduction under laboratory, growth chamber and greenhouse conditions. Antisense PPO expression dramatically increased susceptibility while PPO overexpression increased resistance of tomato plants to Pseudomonas syringae. Similarly, PPO-overexpressing transgenic plants showed an increase in resistance to various insects, including common cutworm (Spodoptera litura (F.)), cotton bollworm (Helicoverpa armigera (Hübner)) and beet army worm (Spodoptera exigua (Hübner)), whereas larvae feeding on plants with suppressed PPO activity had higher larval growth rates and consumed more foliage. Similar increases in weight gain, foliage consumption, and survival were also observed with Colorado potato beetles (Leptinotarsa decemlineata (Say)) feeding on antisense PPO transgenic tomatoes. The putative defensive mechanisms conferred by PPO and its interaction with other defense proteins are discussed. In addition, transgenic plants with suppressed PPO exhibited more favorable water relations and decreased photoinhibition compared to nontransformed controls and transgenic plants overexpressing PPO, suggesting that PPO may have a role in the development of plant water stress and potential for photoinhibition and photooxidative damage that may be unrelated to any effects on the Mehler reaction. These results substantiate the defensive role of PPO and suggest that manipulation of PPO activity in specific tissues has the potential to provide broad-spectrum resistance simultaneously to both disease and insect pests, however, effects of PPO on postharvest quality as well as water stress physiology should also be considered. In addition to the functional analysis of tomato PPO, the application of antisense/sense technology to decipher the functions of PPO in other plant species as well as for commercial uses are discussed.
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Affiliation(s)
- Piyada Thipyapong
- Suranaree University of Technology, 111 University Ave., Muang District, Nakhon Ratchasima 30000, Thailand; E-mail:
| | - Michael J. Stout
- Department of Entomology, Louisiana State University, 402 Life Sciences Building, Louisiana State University, Baton Rouge, LA 70803, USA; E-mail:
| | - Jutharat Attajarusit
- Suranaree University of Technology, 111 University Ave., Muang District, Nakhon Ratchasima 30000, Thailand; E-mail:
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Wang J, Raman H, Zhou M, Ryan PR, Delhaize E, Hebb DM, Coombes N, Mendham N. High-resolution mapping of the Alp locus and identification of a candidate gene HvMATE controlling aluminium tolerance in barley (Hordeum vulgare L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2007; 115:265-76. [PMID: 17551710 DOI: 10.1007/s00122-007-0562-9] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2006] [Accepted: 04/16/2007] [Indexed: 05/10/2023]
Abstract
Aluminium (Al) tolerance in barley is conditioned by the Alp locus on the long arm of chromosome 4H, which is associated with Al-activated release of citrate from roots. We developed a high-resolution map of the Alp locus using 132 doubled haploid (DH) lines from a cross between Dayton (Al-tolerant) and Zhepi 2 (Al-sensitive) and 2,070 F(2 )individuals from a cross between Dayton and Gairdner (Al-sensitive). The Al-activated efflux of citrate from the root apices of Al-tolerant Dayton was 10-fold greater than from the Al-sensitive parents Zhepi 2 and Gairdner. A suite of markers (ABG715, Bmag353, GBM1071, GWM165, HvMATE and HvGABP) exhibited complete linkage with the Alp locus in the DH population accounting 72% of the variation for Al tolerance evaluated as relative root elongation. These markers were used to map this genomic region in the Dayton/Gairdner population in more detail. Flanking markers HvGABP and ABG715 delineated the Alp locus to a 0.2 cM interval. Since the HvMATE marker was not polymorphic in the Dayton/Gairdner population we instead investigated the expression of the HvMATE gene. Relative expression of the HvMATE gene was 30-fold greater in Dayton than Gardiner. Furthermore, HvMATE expression in the F(2:3) families tested, including all the informative recombinant lines identified between HvGABP and ABG715 was significantly correlated with Al tolerance and Al-activated citrate efflux. These results identify HvMATE, a gene encoding a multidrug and toxic compound extrusion protein, as a candidate controlling Al tolerance in barley.
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Affiliation(s)
- Junping Wang
- Tasmanian Institute of Agricultural Research and School of Agricultural Science, University of Tasmania, P.O. Box 46, Kings Meadows, TAS, 6249, Australia
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He XY, He ZH, Zhang LP, Sun DJ, Morris CF, Fuerst EP, Xia XC. Allelic variation of polyphenol oxidase (PPO) genes located on chromosomes 2A and 2D and development of functional markers for the PPO genes in common wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2007; 115:47-58. [PMID: 17426955 DOI: 10.1007/s00122-007-0539-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2006] [Accepted: 03/17/2007] [Indexed: 05/05/2023]
Abstract
Polyphenol oxidase (PPO) activity is highly related to the undesirable browning of wheat-based end products, especially Asian noodles. Characterization of PPO genes and the development of their functional markers are of great importance for marker-assisted selection in wheat breeding. In the present study, complete genomic DNA sequences of two PPO genes, one each located on chromosomes 2A and 2D and their allelic variants were characterized by means of in silico cloning and experimental validation. Sequences were aligned at both DNA and protein levels. Two haplotypes on chromosome 2D showed 95.2% sequence identity at the DNA level, indicating much more sequence diversity than those on chromosome 2A with 99.6% sequence identity. Both of the PPO genes on chromosomes 2A and 2D contain an open reading frame (ORF) of 1,731 bp, encoding a PPO precursor peptide of 577 amino acids with a predicted molecular mass of approximately 64 kD. Two complementary dominant STS markers, PPO16 and PPO29, were developed based on the PPO gene haplotypes located on chromosome 2D; they amplify a 713-bp fragment in cultivars with low PPO activity and a 490-bp fragment in those with high PPO activity, respectively. The two markers were mapped on chromosome 2DL using a doubled haploid population derived from the cross Zhongyou 9507/CA9632, and a set of nullisomic-tetrasomic lines and ditelosomic line 2DS of Chinese Spring. QTL analysis indicated that the PPO gene co-segregated with the two STS markers and was closely linked to SSR marker Xwmc41 on chromosome 2DL, explaining from 9.6 to 24.4% of the phenotypic variance for PPO activity across three environments. In order to simultaneously detect PPO loci on chromosomes 2A and 2D, a multiplexed marker combination PPO33/PPO16 was developed and yielded distinguishable DNA patterns in a number of cultivars. The STS marker PPO33 for the PPO gene on chromosome 2A was developed from the same gene sequences as PPO18 that we reported previously, and can amplify a 481-bp and a 290-bp fragment from cultivars with low and high PPO activity, respectively. A total of 217 Chinese wheat cultivars and advanced lines were used to validate the association between the polymorphic fragments and grain PPO activity. The results showed that the marker combination PPO33/PPO16 is efficient and reliable for evaluating PPO activity and can be used in wheat breeding programs aimed for noodle and other end product quality improvement.
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Affiliation(s)
- X Y He
- Institute of Crop Science, National Wheat Improvement Center/The National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Zhongguancun South Street 12, Beijing, 100081, China
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Biochemical and genetic characterization of wheat (Triticum spp.) kernel polyphenol oxidases. J Cereal Sci 2006. [DOI: 10.1016/j.jcs.2006.06.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Watanabe N, Akond ASMGM, Nachit MM. Genetic mapping of the gene affecting polyphenol oxidase activity in tetraploid durum wheat. J Appl Genet 2006; 47:201-5. [PMID: 16967558 DOI: 10.1007/bf03194624] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The quality of durum wheat (Triticum turgidum ssp. durum) is influenced by polyphenol oxidase(PPO) activity and its corresponding substrates. A saturated molecular-marker linkage map was constructed previously by using a set of recombinant inbred (RI) lines, derived from a cross between durum wheat cultivars Jennah Khetifa and Cham 1. Quantitative trait loci (QTL) for PPO activity in seeds were mapped in this population. PPO activity in seeds of the parents and 110 RI lines was measured spectrophotometrically. The PPO activity of Cham 1 was significantly lower than that of Jennah Khetifa. QTL analysis of these data indicated that most of PPO activity was associated with major loci on the long arm of chromosome 2A. The trait was found to be strongly associated with the SSR marker Xgwm312@2A. With this knowledge, marker-assisted selection can be used to select genotypes with lower PPO activity in durum wheat populations.
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Wenzl P, Li H, Carling J, Zhou M, Raman H, Paul E, Hearnden P, Maier C, Xia L, Caig V, Ovesná J, Cakir M, Poulsen D, Wang J, Raman R, Smith KP, Muehlbauer GJ, Chalmers KJ, Kleinhofs A, Huttner E, Kilian A. A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits. BMC Genomics 2006. [PMID: 16904008 DOI: 10.1186/1471‐2164‐7‐206] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Molecular marker technologies are undergoing a transition from largely serial assays measuring DNA fragment sizes to hybridization-based technologies with high multiplexing levels. Diversity Arrays Technology (DArT) is a hybridization-based technology that is increasingly being adopted by barley researchers. There is a need to integrate the information generated by DArT with previous data produced with gel-based marker technologies. The goal of this study was to build a high-density consensus linkage map from the combined datasets of ten populations, most of which were simultaneously typed with DArT and Simple Sequence Repeat (SSR), Restriction Enzyme Fragment Polymorphism (RFLP) and/or Sequence Tagged Site (STS) markers. RESULTS The consensus map, built using a combination of JoinMap 3.0 software and several purpose-built perl scripts, comprised 2,935 loci (2,085 DArT, 850 other loci) and spanned 1,161 cM. It contained a total of 1,629 'bins' (unique loci), with an average inter-bin distance of 0.7 +/- 1.0 cM (median = 0.3 cM). More than 98% of the map could be covered with a single DArT assay. The arrangement of loci was very similar to, and almost as optimal as, the arrangement of loci in component maps built for individual populations. The locus order of a synthetic map derived from merging the component maps without considering the segregation data was only slightly inferior. The distribution of loci along chromosomes indicated centromeric suppression of recombination in all chromosomes except 5H. DArT markers appeared to have a moderate tendency toward hypomethylated, gene-rich regions in distal chromosome areas. On the average, 14 +/- 9 DArT loci were identified within 5 cM on either side of SSR, RFLP or STS loci previously identified as linked to agricultural traits. CONCLUSION Our barley consensus map provides a framework for transferring genetic information between different marker systems and for deploying DArT markers in molecular breeding schemes. The study also highlights the need for improved software for building consensus maps from high-density segregation data of multiple populations.
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Affiliation(s)
- Peter Wenzl
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia.
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Wenzl P, Li H, Carling J, Zhou M, Raman H, Paul E, Hearnden P, Maier C, Xia L, Caig V, Ovesná J, Cakir M, Poulsen D, Wang J, Raman R, Smith KP, Muehlbauer GJ, Chalmers KJ, Kleinhofs A, Huttner E, Kilian A. A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits. BMC Genomics 2006; 7:206. [PMID: 16904008 PMCID: PMC1564146 DOI: 10.1186/1471-2164-7-206] [Citation(s) in RCA: 196] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2006] [Accepted: 08/12/2006] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Molecular marker technologies are undergoing a transition from largely serial assays measuring DNA fragment sizes to hybridization-based technologies with high multiplexing levels. Diversity Arrays Technology (DArT) is a hybridization-based technology that is increasingly being adopted by barley researchers. There is a need to integrate the information generated by DArT with previous data produced with gel-based marker technologies. The goal of this study was to build a high-density consensus linkage map from the combined datasets of ten populations, most of which were simultaneously typed with DArT and Simple Sequence Repeat (SSR), Restriction Enzyme Fragment Polymorphism (RFLP) and/or Sequence Tagged Site (STS) markers. RESULTS The consensus map, built using a combination of JoinMap 3.0 software and several purpose-built perl scripts, comprised 2,935 loci (2,085 DArT, 850 other loci) and spanned 1,161 cM. It contained a total of 1,629 'bins' (unique loci), with an average inter-bin distance of 0.7 +/- 1.0 cM (median = 0.3 cM). More than 98% of the map could be covered with a single DArT assay. The arrangement of loci was very similar to, and almost as optimal as, the arrangement of loci in component maps built for individual populations. The locus order of a synthetic map derived from merging the component maps without considering the segregation data was only slightly inferior. The distribution of loci along chromosomes indicated centromeric suppression of recombination in all chromosomes except 5H. DArT markers appeared to have a moderate tendency toward hypomethylated, gene-rich regions in distal chromosome areas. On the average, 14 +/- 9 DArT loci were identified within 5 cM on either side of SSR, RFLP or STS loci previously identified as linked to agricultural traits. CONCLUSION Our barley consensus map provides a framework for transferring genetic information between different marker systems and for deploying DArT markers in molecular breeding schemes. The study also highlights the need for improved software for building consensus maps from high-density segregation data of multiple populations.
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Affiliation(s)
- Peter Wenzl
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
- DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
| | - Haobing Li
- School of Agricultural Science, University of Tasmania, PO Box 252-54, Hobart TAS 7001, Australia
| | - Jason Carling
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
- DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
| | - Meixue Zhou
- Tasmanian Institute of Agricultural Research, PO Box 46, Kings Meadows TAS 7249, Australia
| | - Harsh Raman
- NSW Agricultural Genomics Centre and NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga NSW 2650, Australia
| | - Edie Paul
- GeneFlow Inc., 14582 Olde Kent Rd., Centreville VA 20120, USA
| | - Phillippa Hearnden
- School of Agriculture, Food and Wine, Plant Genomics Centre, The University of Adelaide, PMB1, Glen Osmond SA 5064, Australia
| | - Christina Maier
- Dept. Crop and Soil Sciences and School of Molecular Biosciences, Washington State University, Pullman WA 99164-6420, USA
| | - Ling Xia
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
- DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
| | - Vanessa Caig
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
- DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
| | - Jaroslava Ovesná
- Research Institute of Crop Production, Drnovská 507, 161 06 Prague 6, Czech Republic
| | - Mehmet Cakir
- Molecular Plant Breeding CRC, WA State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA 6150, Australia
| | - David Poulsen
- Department of Primary Industries & Fisheries, Plant Science, MS 508 Warwick, QLD 4370, Australia
| | - Junping Wang
- NSW Agricultural Genomics Centre and NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga NSW 2650, Australia
| | - Rosy Raman
- NSW Agricultural Genomics Centre and NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga NSW 2650, Australia
| | - Kevin P Smith
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Gary J Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Ken J Chalmers
- School of Agriculture, Food and Wine, Plant Genomics Centre, The University of Adelaide, PMB1, Glen Osmond SA 5064, Australia
| | - Andris Kleinhofs
- Dept. Crop and Soil Sciences and School of Molecular Biosciences, Washington State University, Pullman WA 99164-6420, USA
| | - Eric Huttner
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
- DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
| | - Andrzej Kilian
- Triticarte P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
- DArT P/L, PO Box 7141 Yarralumla, Canberra, ACT 2600, Australia
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Jukanti AK, Bruckner PL, Fischer AM. Molecular and biochemical characterisation of polyphenol oxidases in developing kernels and senescing leaves of wheat (Triticum aestivum). FUNCTIONAL PLANT BIOLOGY : FPB 2006; 33:685-696. [PMID: 32689277 DOI: 10.1071/fp06050] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2006] [Accepted: 05/02/2006] [Indexed: 06/11/2023]
Abstract
Polyphenol oxidases (PPOs) have been implicated in plant defence reactions. From an applied point of view, high PPO activity is associated with browning / darkening of fresh and processed food. Owing to its complex genome and economic importance, wheat (Triticum aestivum L.) represents an interesting system to advance our understanding of plant PPO function. We have previously shown that wheat PPOs are organised in a multigene family, consisting of two distinct phylogenetic clusters with three members each. In this study, we demonstrate that members of one cluster are not expressed in developing kernels or senescing flag leaves. Transcriptional regulation of one major gene in the other cluster largely controls PPO levels in these tissues, at least in the wheat varieties used for this study. Our data further indicate that the product of this gene is present as a latent enzyme during early kernel development, and that the latent enzyme is activated during later developmental phases. Enzyme activation can be achieved in vitro by limited tryptic digestion, but our data do not indicate activation by a proteolytic mechanism in vivo. Together, results presented in this study provide important insights into the regulation of wheat PPO function.
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Affiliation(s)
- Aravind K Jukanti
- Department of Plant Sciences and Plant Pathology, 119AgBioScience Facility, Montana State University, Bozeman, MT 59717-3150, USA
| | - Phil L Bruckner
- Department of Plant Sciences and Plant Pathology, 119AgBioScience Facility, Montana State University, Bozeman, MT 59717-3150, USA
| | - Andreas M Fischer
- Department of Plant Sciences and Plant Pathology, 119AgBioScience Facility, Montana State University, Bozeman, MT 59717-3150, USA
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Stodart BJ, Mackay M, Raman H. AFLP and SSR analysis of genetic diversity among landraces of bread wheat (Triticum aestivum L. em. Thell) from different geographic regions. ACTA ACUST UNITED AC 2005. [DOI: 10.1071/ar05015] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
A set of 44 bread wheat landraces was used to determine the efficacy of 16 amplifed fragment length polymorphism (AFLP) primers and 63 wheat simple sequence repeat (SSR) markers in identifying polymorphisms between accessions. The SSR markers detected approximately 10 alleles per locus with a mean gene diversity (Hz) of 0.63, whereas AFLP primers identified approximately 147 fragments per primer with a mean gene diversity of 0.25. A set of 54 SSR markers and 11 AFLP primers was identified as highly polymorphic (polymorphic information content (PIC) ≥ 0.5 and 0.3 for SSR and AFLP, respectively), and suitable for molecular characterisation of germplasm. Principle coordinate analysis suggested that the AFLP and SSR loci could be used to discriminate among accessions collected from North Africa and southern Europe from those collected from the Middle East. Both marker types indicate that accessions from North Africa and southern Europe, the Middle East, and southern and eastern Asia are genetically diverse. The results indicate the usefulness of the molecular markers to assess genetic diversity present within germplasm collections.
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