PCD and CSFL Citations

Peer-reviewed papers citing PCD or CSFL
 

2022

  1. Abou-Khater, L., Maalouf, F., Jighly, A., Alsamman, A. M., Rubiales, D., Rispail, N., ... & Kumar, S. (2022). Genomic regions associated with herbicide tolerance in a worldwide faba bean (Vicia faba L.) collection. Scientific reports, 12(1), 1-13.
  2. Wu, L., Fredua-Agyeman, R., Strelkov, S. E., Chang, K. F., & Hwang, S. F. (2022). Identification of Novel Genes Associated with Partial Resistance to Aphanomyces Root Rot in Field Pea by BSR-Seq Analysis. International journal of molecular sciences, 23(17), 9744.
  3. Martins, L. B., Balint-Kurti, P., & Reberg-Horton, S. C. (2022). Genome-wide association study for morphological traits and resistance to Peryonella pinodes in the USDA pea single plant plus collection. G3, 12(9), jkac168.
  4. Derbyshire, M. C., Batley, J., & Edwards, D. (2022). Use of multiple ‘omics techniques to accelerate the breeding of abiotic stress tolerant crops. Current Plant Biology, 100262.
  5. Frailey, D. C., Zhang, Q., Wood, D. J., & Davis, T. M. (2022). Defining the mutation sites in chickpea nodulation mutants PM233 and PM405. BMC plant biology, 22(1), 1-12.
  6. Yadav, S., Yadava, Y. K., Kohli, D., Meena, S., Kalwan, G., Bharadwaj, C., ... & Jain, P. K. (2022). Genome-wide identification, in silico characterization and expression analysis of the RNA helicase gene family in chickpea (C. arietinum L.). Scientific reports, 12(1), 1-24.
  7. Farahani, S., Maleki, M., Ford, R., Mehrabi, R., Kanouni, H., Kema, G. H., ... & Talebi, R. (2022). Genome-wide association mapping for isolate-specific resistance to Ascochyta rabiei in chickpea (Cicer arietinum L.). Physiological and Molecular Plant Pathology, 121, 101883.
  8. Boeglin, L., Morère Le-Paven, M. C., Clochard, T., Fustec, J., & Limami, A. M. (2022). Pisum sativum Response to Nitrate as Affected by Rhizobium leguminosarum-Derived Signals. Plants, 11(15), 1966.
  9. Chammakhi, C., Boscari, A., Pacoud, M., Aubert, G., Mhadhbi, H., & Brouquisse, R. (2022). Nitric Oxide Metabolic Pathway in Drought-Stressed Nodules of Faba Bean (Vicia faba L.). International Journal of Molecular Sciences, 23(21), 13057.
  10. Santos, C., Martins, D. C., González-Bernal, M. J., Rubiales, D., & Patto, M. C. V. (2022). Integrating Phenotypic and Gene Expression Linkage Mapping to Dissect Rust Resistance in Chickling Pea. Frontiers in Plant Science, 13.

2021

  1. Castillejo, M. Á., Villegas-Fernández, Á. M., Hernández-Lao, T., & Rubiales, D. (2021). Photosystem II Repair Cycle in Faba Bean May Play a Role in Its Resistance to Botrytis fabae Infection. Agronomy, 11(11), 2247.
  2. Staton, M., Cannon, E., Sanderson, L. A., Wegrzyn, J., Anderson, T., Buehler, S., ... & Ficklin, S. (2021). Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases. Briefings in bioinformatics, 22(6), bbab238.
  3. Khalifa, K. A., Ibrahim, S. D., El-Garhy, H. A., Moustafa, M. M., Maalouf, F., Alsamman, A. M., ... & El Allali, A. (2021). Developing a new genic SSR primer database in faba bean (Vicia faba L.). Journal of Applied Genetics, 1-15.
  4. Debler, J. W., Henares, B. M., & Lee, R. C. (2021). Agroinfiltration for transient gene expression and characterisation of fungal pathogen effectors in cool-season grain legume hosts. Plant Cell Reports, 1-14.
  5. Jung, S., Lee, T., Gasic, K., Campbell, B. T., Yu, J., Humann, J., ... & Main, D. (2021). The Breeding Information Management System (BIMS): an online resource for crop breeding. Database, 2021.
  6. Weeden, N. F., Coyne, C. J., Lavin, M., & McPhee, K. (2021). Distinguishing among Pisum accessions using a hypervariable intron within Mendel’s green/yellow cotyledon gene. Genetic Resources and Crop Evolution, 1-19.
  7. Newman, T. E., Jacques, S., Grime, C., Kamphuis, F. L., Lee, R. C., Berger, J., & Kamphuis, L. G. (2021). Identification of novel sources of resistance to ascochyta blight in a collection of wild Cicer accessions. Phytopathology®, 111(2), 369-379.
  8. Jung, S., Cheng, C. H., Buble, K., Lee, T., Humann, J., Yu, J., ... & Main, D. (2021). Tripal MegaSearch: a tool for interactive and customizable query and download of big data. Database, 2021.
  9. Rajendran, K., Coyne, C. J., Zheng, P., Saha, G., Main, D., Amin, N., ... & Kumar, S. (2021). Genetic diversity and GWAS of agronomic traits using an ICARDA lentil (Lens culinaris Medik.) Reference Plus collection. Plant Genetic Resources, 19(4), 279-288.
  10. Gawłowska, M., Knopkiewicz, M., Święcicki, W., Boros, L., & Wawer, A. (2021). Quantitative trait loci for stem strength properties and lodging in two pea biparental mapping populations. Crop Science.
  11. Powers, S., Boatwright, J. L., & Thavarajah, D. (2021). Genome-wide association studies of mineral and phytic acid concentrations in pea (Pisum sativum L.) to evaluate biofortification potential. G3, 11(9), jkab227.
  12. Wu, L., Fredua-Agyeman, R., Hwang, S. F., Chang, K. F., Conner, R. L., McLaren, D. L., & Strelkov, S. E. (2021). Mapping QTL associated with partial resistance to Aphanomyces root rot in pea (Pisum sativum L.) using a 13.2 K SNP array and SSR markers. Theoretical and Applied Genetics, 1-26.
  13. Guerra‐García, A., Gioia, T., von Wettberg, E., Logozzo, G., Papa, R., Bitocchi, E., & Bett, K. E. (2021). Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well‐Represented Collections. Current Protocols, 1(5), e134.
  14. Bari, M., Al, A., Zheng, P., Viera, I., Worral, H., Szwiec, S., ... & Bandillo, N. (2021). Harnessing genetic diversity in the USDA pea germplasm collection through genomic prediction. Frontiers in Genetics, 2273.
  15. Wu, L., Fredua-Agyeman, R., Strelkov, S. E., Chang, K. F., & Hwang, S. F. (2021). Identification of Quantitative Trait Loci Associated With Partial Resistance to Fusarium Root Rot and Wilt Caused by Fusarium graminearum in Field Pea. Frontiers in plant science, 12, 784593-784593.

2020

  1. Mokhtar, M. M., Hussein, E. H., El-Assal, S. E. D. S., & Atia, M. A. (2020). Vf ODB: a comprehensive database of ESTs, EST-SSRs, mtSSRs, microRNA-target markers and genetic maps in Vicia faba. AoB Plants, 12(6), plaa064.
  2. Santos, C., Martins, D., Rubiales, D., & Vaz Patto, M. C. (2020). Partial resistance against Erysiphe pisi and E. trifolii under different genetic control in Lathyrus cicera: Outcomes from a linkage mapping approach. Plant Disease, 104(11), 2875-2884.
  3. Annicchiarico, P., Nazzicari, N., Laouar, M., Thami-Alami, I., Romani, M., & Pecetti, L. (2020). Development and Proof-of-Concept Application of Genome-Enabled Selection for Pea Grain Yield under Severe Terminal Drought. International journal of molecular sciences, 21(7), 2414.
  4. Santiago, J. P., Ward, J. M., & Sharkey, T. D. (2020). Phaseolus vulgaris SUT1. 1 is a high affinity sucrose‐proton co‐transporter. Plant direct, 4(8), e00260.
  5. Analin, B., Mohanan, A., Bakka, K., & Challabathula, D. (2020). Cytochrome oxidase and alternative oxidase pathways of mitochondrial electron transport chain are important for the photosynthetic performance of pea plants under salinity stress conditions. Plant Physiology and Biochemistry, 154, 248-259.
  6. Berger, A., Guinand, S., Boscari, A., Puppo, A., & Brouquisse, R. (2020). Medicago truncatula Phytoglobin 1.1 controls symbiotic nodulation and nitrogen fixation via the regulation of nitric oxide concentration. New Phytologist, 227(1), 84-98.
  7. Castillejo, M. Á., Fondevilla-Aparicio, S., Fuentes-Almagro, C., & Rubiales, D. (2020). Quantitative analysis of target peptides related to resistance against ascochyta blight (Peyronellaea pinodes) in Pea. Journal of proteome research, 19(3), 1000-1012.
  8. Carbonnel, S., Torabi, S., Griesmann, M., Bleek, E., Tang, Y., Buchka, S., ... & Gutjahr, C. (2020). Lotus japonicus karrikin receptors display divergent ligand-binding specificities and organ-dependent redundancy. PLoS Genetics, 16(12), e1009249.
  9. Albanese, P., Tamara, S., Saracco, G., Scheltema, R. A., & Pagliano, C. (2020). How paired PSII–LHCII supercomplexes mediate the stacking of plant thylakoid membranes unveiled by structural mass-spectrometry. Nature communications, 11(1), 1-14.

2019

  1. Fanani, M. Z., Fukushima, E. O., Sawai, S., Tang, J., Ishimori, M., Sudo, H., ... & Muranaka, T. (2019). Molecular basis of C-30 product regioselectivity of legume oxidases involved in high-value triterpenoid biosynthesis. Frontiers in Plant Science, 10, 1520.
  2. Sanderson, L. A., Caron, C. T., Tan, R., Shen, Y., Liu, R., & Bett, K. E. (2019). KnowPulse: a web-resource focused on diversity data for pulse crop improvement. Frontiers in plant science, 10.
  3. Kumar, H., Singh, A., Dikshit, H. K., Mishra, G. P., Aski, M., Meena, M. C., & Kumar, S. (2019). Genetic dissection of grain iron and zinc concentrations in lentil (Lens culinaris Medik.). Journal of genetics, 98(3), 66.
  4. Ortega, R., Hecht, V., Freeman, J., Rubio, J., Carrasquilla-Garcia, N., Mir, R. R., ... & Weller, J. L. (2019). Altered expression of an FT cluster underlies a major locus controlling domestication-related changes to chickpea phenology and growth habit. Frontiers in plant science, 10, 824.
  5. Albanese, P., Manfredi, M., Marengo, E., Saracco, G., & Pagliano, C. (2019). Structural and functional differentiation of the light‐harvesting protein Lhcb4 during land plant diversification. Physiologia plantarum, 166(1), 336-350.
  6. Sun, Y., Wu, Z., Wang, Y., Yang, J., Wei, G., & Chou, M. (2019). Identification of Phytocyanin Gene Family in Legume Plants and Their Involvement in Nodulation of Medicago truncatula. Plant and Cell Physiology.
  7. Mousavi‐Derazmahalleh, M., Bayer, P. E., Hane, J. K., Valliyodan, B., Nguyen, H. T., Nelson, M. N., ... & Edwards, D. (2019). Adapting legume crops to climate change using genomic approaches. Plant, cell & environment, 42(1), 6-19.
  8. Sun, Yali, Zefeng Wu, Yujie Wang, Jieyu Yang, Gehong Wei, and Minxia Chou. (2019). Identification of Phytocyanin Gene Family in Legume Plants and Their Involvement in Nodulation of Medicago truncatula. Plant and Cell Physiology, 60(4), 900-915.
  9. Mousavi‐Derazmahalleh, M., Bayer, P. E., Hane, J. K., Valliyodan, B., Nguyen, H. T., Nelson, M. N., ... & Edwards, D. (2019). Adapting legume crops to climate change using genomic approaches. Plant, cell & environment, 42(1), 6-19.
  10. Buble, K., Jung, S., Humann, J. L., Yu, J., Cheng, C. H., Lee, T., ... & Wegrzyn, J. L. (2019). Tripal MapViewer: A tool for interactive visualization and comparison of genetic maps. Database, 2019.
  11. Zheng, Y., Wu, S., Bai, Y., Sun, H., Jiao, C., Guo, S., ... & Xu, Y. (2019). Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops. Nucleic acids research, 47(D1), D1128-D1136.
  12. Day, P. M., Inoue, K., & Theg, S. M. (2019). Chloroplast outer membrane β-barrel proteins use components of the general import apparatus. The Plant Cell, 31(8), 1845-1855.
  13. Aswani, V., Rajsheel, P., Bapatla, R. B., Sunil, B., & Raghavendra, A. S. (2019). Oxidative stress induced in chloroplasts or mitochondria promotes proline accumulation in leaves of pea (Pisum sativum): another example of chloroplast-mitochondria interactions. Protoplasma, 256(2), 449-457.

2018

  1. Reiser, L., Harper, L., Freeling, M., Han, B., & Luan, S. (2018). FAIR: A call to make published data more findable, accessible, interoperable, and reusable. Molecular plant, 11(9), 1105-1108.
  2. Moreau, C., Hofer, J. M., Eléouët, M., Sinjushin, A., Ambrose, M., Skøt, K., ... & Ferrándiz, C. (2018). Identification of Stipules reduced, a leaf morphology gene in pea (Pisum sativum). New Phytologist, 220(1), 288-299.
  3. Aswani, V., Rajsheel, P., Bapatla, R. B., Sunil, B., & Raghavendra, A. S. (2018). Oxidative stress induced in chloroplasts or mitochondria promotes proline accumulation in leaves of pea (Pisum sativum): another example of chloroplast-mitochondria interactions. Protoplasma, 1-9.
  4. Abdelrahman, M., Jogaiah, S., Burritt, D. J., & Tran, L. S. P. (2018). Legume genetic resources and transcriptome dynamics under abiotic stress conditions. Plant, cell & environment, 41(9), 1972-1983.
  5. Zheng, Y., Wu, S., Bai, Y., Sun, H., Jiao, C., Guo, S., ... & Xu, Y. (2018). Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops. Nucleic acids research, 47(D1), D1128-D1136.
  6. Garneau, M. G., Tan, Q., & Tegeder, M. (2018). Function of pea amino acid permease AAP6 in nodule nitrogen metabolism and export, and plant nutrition. Journal of experimental botany, 69(21), 5205-5219.
  7. Albanese, P., Manfredi, M., Re, A., Marengo, E., Saracco, G., & Pagliano, C. (2018). Thylakoid proteome modulation in pea plants grown at different irradiances: quantitative proteomic profiling in a non‐model organism aided by transcriptomic data integration. The Plant Journal, 96(4), 786-800.
  8. Chen, F., Dong, W., Zhang, J., Guo, X., Chen, J., Wang, Z., ... & Zhang, L. (2018). The sequenced angiosperm genomes and genome databases. Frontiers in plant science, 9, 418.

2017

  1. Jung, S., Lee, T., Cheng, C. H., Ficklin, S., Yu, J., Humann, J., & Main, D. (2017). Extension modules for storage, visualization and querying of genomic, genetic and breeding data in Tripal databases. Database, bax092.
  2. Serova, T. A., Tikhonovich, I. A., & Tsyganov, V. E. (2017). Analysis of nodule senescence in pea (Pisum sativum L.) using laser microdissection, real-time PCR, and ACC immunolocalization. Journal of plant physiology, 212, 29-44.
  3. Meisrimler, C. N., Wienkoop, S., & Lüthje, S. (2017). Proteomic Profiling of the Microsomal Root Fraction: Discrimination of Pisum sativum L. Cultivars and Identification of Putative Root Growth Markers. Proteomes, 5(1), 8.
  4. Sagi, M. S., Deokar, A. A., & Tar’an, B. (2017). Genetic analysis of NBS-LRR gene family in chickpea and their expression profiles in response to ascochyta blight infection. Frontiers in Plant Science, 8, 838.
  5. Santo, T., Pereira, R., & Leitão, J. (2017). The pea (Pisum sativum L.) rogue paramutation is accompanied by alterations in the methylation pattern of specific genomic sequences. Epigenomes, 1(1), 6.
  6. Holdsworth, W. L., Gazave, E., Cheng, P., Myers, J. R., Gore, M. A., Coyne, C. J., ... & Mazourek, M. (2017). A community resource for exploring and utilizing genetic diversity in the USDA pea single plant plus collection. Horticulture research, 4, 17017.
  7. Albanese, P., Melero, R., Engel, B. D., Grinzato, A., Berto, P., Manfredi, M., ... & Saracco, G. (2017). Pea PSII-LHCII supercomplexes form pairs by making connections across the stromal gap. Scientific reports, 7(1), 10067.

2016

  1. Castillejo, M. Á., Iglesias‐García, R., Wienkoop, S., & Rubiales, D. (2016). Label‐free quantitative proteomic analysis of tolerance to drought in Pisum sativum. Proteomics, 16(21), 2776-2787.
  2. Dash, S., Campbell, J. D., Cannon, E. K., Cleary, A. M., Huang, W., Kalberer, S. R., ... & Weeks, N. T. (2016). Legume information system (LegumeInfo. org): a key component of a set of federated data resources for the legume family. Nucleic acids research, 44(D1), D1181-D1188.
  3. Li, J., Dai, X., Zhuang, Z., & Zhao, P. X. (2016). LegumeIP 2.0—a platform for the study of gene function and genome evolution in legumes. Nucleic acids research, 44(D1), D1189-D1194.
  4. Deokar, A. A., & Tar'an, B. (2016). Genome-wide analysis of the aquaporin gene family in chickpea (Cicer arietinum L.). Frontiers in plant science, 7, 1802.
  5. Jung, S., Lee, T., Ficklin, S., Yu, J., Cheng, C. H., & Main, D. (2016). Chado use case: storing genomic, genetic and breeding data of Rosaceae and Gossypium crops in Chado. Database, 2016.
  6. Gupta, D. S., Cheng, P., Sablok, G., Thavarajah, P., Coyne, C. J., Kumar, S., ... & McGee, R. J. (2016). Development of a panel of unigene-derived polymorphic EST–SSR markers in lentil using public database information. The Crop Journal, 4(5), 425-433.
  7. Ma, Y., Hu, J., Myers, J. R., Mazourek, M., Coyne, C. J., Main, D., ... & McGee, R. J. (2016). Development of SCAR markers linked to sin-2, the stringless pod trait in pea (Pisum sativum L.). Molecular Breeding, 36(7), 105.
  8. Boutet, G., Carvalho, S. A., Falque, M., Peterlongo, P., Lhuillier, E., Bouchez, O., ... & Baranger, A. (2016). SNP discovery and genetic mapping using genotyping by sequencing of whole genome genomic DNA from a pea RIL population. BMC genomics, 17(1), 121.
  9. Meisrimler, C. N., Wienkoop, S., Lyon, D., Geilfus, C. M., & Luethje, S. (2016). Long-term iron deficiency: Tracing changes in the proteome of different pea (Pisum sativum L.) cultivars. Journal of proteomics, 140, 13-23.

2015

  1. Arun-Chinnappa, K. S., & McCurdy, D. W. (2015). De novo assembly of a genome-wide transcriptome map of Vicia faba (L.) for transfer cell research. Frontiers in plant science, 6, 217.
  2. Shunmugam, A. S., Bock, C., Arganosa, G. C., Georges, F., Gray, G. R., & Warkentin, T. D. (2015). Accumulation of phosphorus-containing compounds in developing seeds of low-phytate pea (Pisum sativum L.) mutants. Plants, 4(1), 1-26.
  3. Yendrek, C. R., Koester, R. P., & Ainsworth, E. A. (2015). A comparative analysis of transcriptomic, biochemical, and physiological responses to elevated ozone identifies species-specific mechanisms of resilience in legume crops. Journal of experimental botany, 66(22), 7101-7112.
  4. Sudheesh, S., Sawbridge, T. I., Cogan, N. O., Kennedy, P., Forster, J. W., & Kaur, S. (2015). De novo assembly and characterisation of the field pea transcriptome using RNA-Seq. BMC genomics, 16(1), 611.
  5. Sudheesh, S., Lombardi, M., Leonforte, A., Cogan, N. O., Materne, M., Forster, J. W., & Kaur, S. (2015). Consensus genetic map construction for field pea (Pisum sativum L.), trait dissection of biotic and abiotic stress tolerance and development of a diagnostic marker for the er1 powdery mildew resistance gene. Plant molecular biology reporter, 33(5), 1391-1403.

2014

  1. Duarte, J., Rivière, N., Baranger, A., Aubert, G., Burstin, J., Cornet, L., ... & Pilet-Nayel, M. L. (2014). Transcriptome sequencing for high throughput SNP development and genetic mapping in Pea. BMC genomics, 15(1), 126.

2013

  1. Sanderson, L. A., Ficklin, S. P., Cheng, C. H., Jung, S., Feltus, F. A., Bett, K. E., & Main, D. (2013). Tripal v1. 1: a standards-based toolkit for construction of online genetic and genomic databases. Database, 2013.