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Genome-wide association studies and genomic selection assays made in a large sample of cacao (Theobroma cacao L.) germplasm reveal significant marker-trait associations and good predictive value for improving yield potential. PLoS One 2022; 17:e0260907. [PMID: 36201531 PMCID: PMC9536643 DOI: 10.1371/journal.pone.0260907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 09/13/2022] [Indexed: 11/19/2022] Open
Abstract
A genome-wide association study (GWAS) was undertaken to unravel marker-trait associations (MTAs) between SNP markers and phenotypic traits. It involved a subset of 421 cacao accessions from the large and diverse collection conserved ex situ at the International Cocoa Genebank Trinidad. A Mixed Linear Model (MLM) in TASSEL was used for the GWAS and followed by confirmatory analyses using GAPIT FarmCPU. An average linkage disequilibrium (r2) of 0.10 at 5.2 Mb was found across several chromosomes. Seventeen significant (P ≤ 8.17 × 10-5 (-log10 (p) = 4.088)) MTAs of interest, including six that pertained to yield-related traits, were identified using TASSEL MLM. The latter accounted for 5 to 17% of the phenotypic variation expressed. The highly significant association (P ≤ 8.17 × 10-5) between seed length to width ratio and TcSNP 733 on chromosome 5 was verified with FarmCPU (P ≤ 1.12 × 10-8). Fourteen MTAs were common to both the TASSEL and FarmCPU models at P ≤ 0.003. The most significant yield-related MTAs involved seed number and seed length on chromosome 7 (P ≤ 1.15 × 10-14 and P ≤ 6.75 × 10-05, respectively) and seed number on chromosome 1 (P ≤ 2.38 × 10-05), based on the TASSEL MLM. It was noteworthy that seed length, seed length to width ratio and seed number were associated with markers at different loci, indicating their polygenic nature. Approximately 40 candidate genes that encode embryo and seed development, protein synthesis, carbohydrate transport and lipid biosynthesis and transport were identified in the flanking regions of the significantly associated SNPs and in linkage disequilibrium with them. A significant association of fruit surface anthocyanin intensity co-localised with MYB-related protein 308 on chromosome 4. Testing of a genomic selection approach revealed good predictive value (genomic estimated breeding values (GEBV)) for economic traits such as seed number (GEBV = 0.611), seed length (0.6199), seed width (0.5435), seed length to width ratio (0.5503), seed/cotyledon mass (0.6014) and ovule number (0.6325). The findings of this study could facilitate genomic selection and marker-assisted breeding of cacao thereby expediting improvement in the yield potential of cacao planting material.
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Mahabir A, Motilal LA, Gopaulchan D, Ramkissoon S, Sankar A, Umaharan P. Development of a core SNP panel for cacao ( Theobroma cacao L.) identity analysis. Genome 2019; 63:103-114. [PMID: 31682479 DOI: 10.1139/gen-2019-0071] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Single nucleotide polymorphisms (SNPs) are preferred markers for DNA fingerprinting and diversity studies in cacao (Theobroma cacao L.). Yet, a consensus SNP panel with a minimum number of SNPs for optimal identity analysis is unavailable for cacao. An initial set of 146 SNP panels of varying sizes were assembled based on heterozygosity, linkage disequilibrium (LD), linkage group (LG) distribution, major allele frequency, minor allele frequency (MiAF), polymorphism information content (PIC), and random distribution. These panels were assessed to determine their ability to distinguish among a training set of 155 accessions. The panels with the best separation ability were supplemented with additional SNPs to create 16 designer panels, which separated all 155 accessions. The 16 designer SNP panels were then assessed on a dataset of 1220 accessions coming from 10 ancestral groups. Increasing the number of SNPs generally yielded improved resolution of genetic identities with concomitant reduction of synonymous groups. The number and choice of SNPs were critical factors with LD, MiAF, and PIC being important selection attributes but an even LG distribution was unnecessary. A robust set of 96 SNPs is recommended as a minimal core SNP panel for cacao DNA fingerprinting to the international cacao community.
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Affiliation(s)
- Amrita Mahabir
- Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago.,Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago
| | - Lambert A Motilal
- Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago.,Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago
| | - David Gopaulchan
- Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago.,Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago
| | - Saila Ramkissoon
- Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago.,Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago
| | - Antoinette Sankar
- Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago.,Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago
| | - Pathmanathan Umaharan
- Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago.,Cocoa Research Centre, Sir Frank Stockdale Bldg., The University of the West Indies, St. Augustine, 330912, Trinidad, Trinidad and Tobago
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Saski CA, Scheffler BE, Hulse-Kemp AM, Liu B, Song Q, Ando A, Stelly DM, Scheffler JA, Grimwood J, Jones DC, Peterson DG, Schmutz J, Chen ZJ. Sub genome anchored physical frameworks of the allotetraploid Upland cotton (Gossypium hirsutum L.) genome, and an approach toward reference-grade assemblies of polyploids. Sci Rep 2017; 7:15274. [PMID: 29127298 PMCID: PMC5681701 DOI: 10.1038/s41598-017-14885-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 10/18/2017] [Indexed: 01/06/2023] Open
Abstract
Like those of many agricultural crops, the cultivated cotton is an allotetraploid and has a large genome (~2.5 gigabase pairs). The two sub genomes, A and D, are highly similar but unequally sized and repeat-rich, which pose significant challenges for accurate genome reconstruction using standard approaches. Here we report the development of BAC libraries, sub genome specific physical maps, and a new-generation sequencing approach that will lead to a reference-grade genome assembly for Upland cotton. Three BAC libraries were constructed, fingerprinted, and integrated with BAC-end sequences (BES) to produce a de novo whole-genome physical map. The BAC map was partitioned by sub genomes through alignment to the diploid progenitor D-genome reference sequence with densely spaced BES anchor points and computational filtering. The physical maps were validated with FISH and genetic mapping of SNP markers derived from BES. Two pairs of homeologous chromosomes, A11/D11 and A12/D12, were used to assess multiplex sequencing approaches for completeness and scalability. The results represent the first sub genome anchored physical maps of Upland cotton, and a new-generation approach to the whole-genome sequencing, which will lead to the reference-grade assembly of allopolyploid cotton and serve as a general strategy for sequencing other polyploid species.
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Affiliation(s)
| | - Brian E Scheffler
- USDA-ARS, Genomics and Bioinformatics Research Unit, Stoneville, MS, USA
| | - Amanda M Hulse-Kemp
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | - Bo Liu
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | - Qingxin Song
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, 78712, USA
| | - Atsumi Ando
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, 78712, USA
| | - David M Stelly
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | | | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Don C Jones
- Agriculture and Environmental Research, Cotton Incorporated, Cary, NC, USA
| | - Daniel G Peterson
- Institute for Genomics, Biocomputing & Biotechnology and Department of Plant & Soil Sciences, Mississippi State University, Mississippi State, MS, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
| | - Z Jeffery Chen
- Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, University of Texas, Austin, TX, 78712, USA.
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Ren Y, Zhu Y, Wang Q, Xiang H, Wang B. Transcriptome of Pterospermum kingtungense provides implications on the mechanism underlying its rapid vegetative growth and limestone adaption. Sci Rep 2017; 7:3198. [PMID: 28600559 PMCID: PMC5466617 DOI: 10.1038/s41598-017-03433-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 05/11/2017] [Indexed: 01/07/2023] Open
Abstract
Pterospermum kingtungense C.Y.Wu ex Hsue is a typical tree species living in the relatively adverse limestone habitat. Due to its excellent wood quality and big size, it is an important timber resource which caused its endangered. We firstly provide the data resources by reporting an annotated transcriptome assembly. 203 million unique Illumina RNA-seq reads were produced with totally 50,333 transcripts, among which 48,778 transcripts were annotated. By a global comparison of homology between P. kingtungense and cacao, we identified 9,507 single copy orthologues and 990 P. kingtungense specific genes. GO enrichment analyses indicate that P. kingtungense specific genes are enriched in defense response, implying potential adaptation to limestone environment. As to cell compartment, the genes are enriched in thylakoid component. Consistently, KEGG enrichment indicates that genes are enriched in photosynthesis. In addition, we identified two genes under positive selection in P. kingtungense species. These results suggest that P. kingtungense have strong photosynthetic capacity, which related to vegetation growth. Our work provides the genomic resources of a limestone specific tree with economic importance to local society and suggests possible mechanism on its characteristics on the limestone adaption and excellent wood properties, which will be important for its conservation and sustainable utilization.
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Affiliation(s)
- Yandong Ren
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. 32 East Jiaochang Road, Kunming, Yunnan Province, 650223, China
- Yunnan Forestry Technological College. No.1 JinDian, Kunming, Yunnan Province, 650224, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yanan Zhu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. 32 East Jiaochang Road, Kunming, Yunnan Province, 650223, China
- Kunming University of Science and Technology, No.727, South Jingming Road, Chenggong District, Kunming, Yunnan Province, 650500, China
| | - Qi Wang
- Yunnan Forestry Technological College. No.1 JinDian, Kunming, Yunnan Province, 650224, China
| | - Hui Xiang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. 32 East Jiaochang Road, Kunming, Yunnan Province, 650223, China.
- Guangzhou Key Laboratory of Insect Development Regulation and Application Research, Institute of Insect Science and Technology & School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
| | - Boyi Wang
- Yunnan Forestry Technological College. No.1 JinDian, Kunming, Yunnan Province, 650224, China.
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Molin WT, Wright AA, Lawton-Rauh A, Saski CA. The unique genomic landscape surrounding the EPSPS gene in glyphosate resistant Amaranthus palmeri: a repetitive path to resistance. BMC Genomics 2017; 18:91. [PMID: 28095770 PMCID: PMC5240378 DOI: 10.1186/s12864-016-3336-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2016] [Accepted: 11/23/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The expanding number and global distributions of herbicide resistant weedy species threaten food, fuel, fiber and bioproduct sustainability and agroecosystem longevity. Amongst the most competitive weeds, Amaranthus palmeri S. Wats has rapidly evolved resistance to glyphosate primarily through massive amplification and insertion of the 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene across the genome. Increased EPSPS gene copy numbers results in higher titers of the EPSPS enzyme, the target of glyphosate, and confers resistance to glyphosate treatment. To understand the genomic unit and mechanism of EPSPS gene copy number proliferation, we developed and used a bacterial artificial chromosome (BAC) library from a highly resistant biotype to sequence the local genomic landscape flanking the EPSPS gene. RESULTS By sequencing overlapping BACs, a 297 kb sequence was generated, hereafter referred to as the "EPSPS cassette." This region included several putative genes, dense clusters of tandem and inverted repeats, putative helitron and autonomous replication sequences, and regulatory elements. Whole genome shotgun sequencing (WGS) of two biotypes exhibiting high and no resistance to glyphosate was performed to compare genomic representation across the EPSPS cassette. Mapping of sequences for both biotypes to the reference EPSPS cassette revealed significant differences in upstream and downstream sequences relative to EPSPS with regard to both repetitive units and coding content between these biotypes. The differences in sequence may have resulted from a compounded-building mechanism such as repetitive transpositional events. The association of putative helitron sequences with the cassette suggests a possible amplification and distribution mechanism. Flow cytometry revealed that the EPSPS cassette added measurable genomic content. CONCLUSIONS The adoption of glyphosate resistant cropping systems in major crops such as corn, soybean, cotton and canola coupled with excessive use of glyphosate herbicide has led to evolved glyphosate resistance in several important weeds. In Amaranthus palmeri, the amplification of the EPSPS cassette, characterized by a complex array of repetitive elements and putative helitron sequences, suggests an adaptive structural genomic mechanism that drives amplification and distribution around the genome. The added genomic content not found in glyphosate sensitive plants may be driving evolution through genome expansion.
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Affiliation(s)
- William T Molin
- United States Department of Agriculture, Crop Production Systems Research Unit, Stoneville, MS, USA.
| | - Alice A Wright
- United States Department of Agriculture, Crop Production Systems Research Unit, Stoneville, MS, USA
| | - Amy Lawton-Rauh
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
| | - Christopher A Saski
- Institute of Translational Genomics, Genomics and Computational Biology Lab, Clemson University, Clemson, SC, USA.
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Herrmann L, Haase I, Blauhut M, Barz N, Fischer M. DNA-based differentiation of the Ecuadorian cocoa types CCN-51 and Arriba based on sequence differences in the chloroplast genome. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2014; 62:12118-12127. [PMID: 25404556 DOI: 10.1021/jf504258w] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Two cocoa types, Arriba and CCN-51, are being cultivated in Ecuador. With regard to the unique aroma, Arriba is considered a fine cocoa type, while CCN-51 is a bulk cocoa because of its weaker aroma. Because it is being assumed that Arriba is mixed with CCN-51, there is an interest in the analytical differentiation of the two types. Two methods to identify CCN-51 adulterations in Arriba cocoa were developed on the basis of differences in the chloroplast DNA. On the one hand, a different repeat of the sequence TAAAG in the inverted repeat region results in a different length of amplicons for the two cocoa types, which can be detected by agarose gel electrophoresis, capillary gel electrophoresis, and denaturing high-performance liquid chromatography. On the other hand, single nucleotide polymorphisms (SNPs) between the CCN-51 and Arriba sequences represent restriction sites, which can be used for restriction fragment length polymorphism analysis. A semi-quantitative analysis based on these SNPs is feasible. A method for an exact quantitation based on these results is not realizable. These sequence variations were confirmed for a comprehensive cultivar collection of Arriba and CCN-51, for both bean and leaf samples.
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Affiliation(s)
- Luise Herrmann
- Hamburg School of Food Science, Institut für Lebensmittelchemie, Universität Hamburg , Grindelallee 117, 20146 Hamburg, Germany
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Motamayor JC, Mockaitis K, Schmutz J, Haiminen N, III DL, Cornejo O, Findley SD, Zheng P, Utro F, Royaert S, Saski C, Jenkins J, Podicheti R, Zhao M, Scheffler BE, Stack JC, Feltus FA, Mustiga GM, Amores F, Phillips W, Marelli JP, May GD, Shapiro H, Ma J, Bustamante CD, Schnell RJ, Main D, Gilbert D, Parida L, Kuhn DN. The genome sequence of the most widely cultivated cacao type and its use to identify candidate genes regulating pod color. Genome Biol 2013; 14:r53. [PMID: 23731509 PMCID: PMC4053823 DOI: 10.1186/gb-2013-14-6-r53] [Citation(s) in RCA: 154] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 04/09/2013] [Accepted: 06/03/2013] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Theobroma cacao L. cultivar Matina 1-6 belongs to the most cultivated cacao type. The availability of its genome sequence and methods for identifying genes responsible for important cacao traits will aid cacao researchers and breeders. RESULTS We describe the sequencing and assembly of the genome of Theobroma cacao L. cultivar Matina 1-6. The genome of the Matina 1-6 cultivar is 445 Mbp, which is significantly larger than a sequenced Criollo cultivar, and more typical of other cultivars. The chromosome-scale assembly, version 1.1, contains 711 scaffolds covering 346.0 Mbp, with a contig N50 of 84.4 kbp, a scaffold N50 of 34.4 Mbp, and an evidence-based gene set of 29,408 loci. Version 1.1 has 10x the scaffold N50 and 4x the contig N50 as Criollo, and includes 111 Mb more anchored sequence. The version 1.1 assembly has 4.4% gap sequence, while Criollo has 10.9%. Through a combination of haplotype, association mapping and gene expression analyses, we leverage this robust reference genome to identify a promising candidate gene responsible for pod color variation. We demonstrate that green/red pod color in cacao is likely regulated by the R2R3 MYB transcription factor TcMYB113, homologs of which determine pigmentation in Rosaceae, Solanaceae, and Brassicaceae. One SNP within the target site for a highly conserved trans-acting siRNA in dicots, found within TcMYB113, seems to affect transcript levels of this gene and therefore pod color variation. CONCLUSIONS We report a high-quality sequence and annotation of Theobroma cacao L. and demonstrate its utility in identifying candidate genes regulating traits.
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Affiliation(s)
| | - Keithanne Mockaitis
- Department of Biology, and Center for Genomics and Bioinformatics, Indiana University, 915 E. Third St, Bloomington, IN, 47405, USA
| | - Jeremy Schmutz
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
- HudsonAlpha Institute for Biotechnology, 601 Genome Way NW, Huntsville, AL, 35806, USA
| | - Niina Haiminen
- IBM T J Watson Research, Yorktown Heights, NY, 10598, USA
| | - Donald Livingstone III
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
- United States Department of Agriculture-Agriculture Research Service, Subtropical Horticulture Research Station, 13601 Old Cutler Rd, Miami, FL, 33158, USA
| | - Omar Cornejo
- Department of Genetics, Stanford University, 300 Pasteur Dr, Stanford, CA, 94305, USA
| | - Seth D Findley
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
| | - Ping Zheng
- Department of Horticulture, Washington State University, Johnson Hall, Pullman, WA, 99164, USA
| | - Filippo Utro
- IBM T J Watson Research, Yorktown Heights, NY, 10598, USA
| | - Stefan Royaert
- United States Department of Agriculture-Agriculture Research Service, Subtropical Horticulture Research Station, 13601 Old Cutler Rd, Miami, FL, 33158, USA
| | - Christopher Saski
- Clemson University Genomics Institute, 105 Collings Street, Clemson, SC, 29634, USA
| | - Jerry Jenkins
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
- HudsonAlpha Institute for Biotechnology, 601 Genome Way NW, Huntsville, AL, 35806, USA
| | - Ram Podicheti
- Center for Genomics and Bioinformatics and School of Informatics and Computing, Indiana University, 919 E 10th St, Bloomington, IN, 47408, USA
| | - Meixia Zhao
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Brian E Scheffler
- United States Department of Agriculture-Agriculture Research Service, Genomics and Bioinformatics Research Unit, 141 Experiment Station Road, Stoneville, MS, 38776, USA
| | - Joseph C Stack
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
| | - Frank A Feltus
- Clemson University Genomics Institute, 105 Collings Street, Clemson, SC, 29634, USA
| | | | - Freddy Amores
- Estación Experimental Tropical Pichilingue, Instituto Nacional Autónomo de Investigaciones Agropecuarias (INIAP), Código Postal 24, Km 5 vía Quevedo - El Empalme, Quevedo, Ecuador
| | - Wilbert Phillips
- Programa de Mejoramiento de Cacao, CATIE 7170, Turrialba, Costa Rica
| | | | - Gregory D May
- National Center for Genome Resources, 2935 Rodeo Park Drive E, Santa Fe, NM, 87505, USA
| | - Howard Shapiro
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
| | - Jianxin Ma
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Carlos D Bustamante
- Department of Genetics, Stanford University, 300 Pasteur Dr, Stanford, CA, 94305, USA
| | - Raymond J Schnell
- Mars, Incorporated, 6885 Elm Street, McLean, VA, 22101, USA
- United States Department of Agriculture-Agriculture Research Service, Subtropical Horticulture Research Station, 13601 Old Cutler Rd, Miami, FL, 33158, USA
| | - Dorrie Main
- Department of Horticulture, Washington State University, Johnson Hall, Pullman, WA, 99164, USA
| | - Don Gilbert
- Department of Biology, and Center for Genomics and Bioinformatics, Indiana University, 915 E. Third St, Bloomington, IN, 47405, USA
| | - Laxmi Parida
- IBM T J Watson Research, Yorktown Heights, NY, 10598, USA
| | - David N Kuhn
- United States Department of Agriculture-Agriculture Research Service, Subtropical Horticulture Research Station, 13601 Old Cutler Rd, Miami, FL, 33158, USA
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