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Genetic linkage map and mapping of the locus of biological nitrogen fixation inefficiency in cowpea

ABSTRACT.

The objectives of the present study were to construct a cowpea genetic map using the F2 population resulting from the cross IC-1 x BRS Marataoã, based on single nucleotide polymorphism (SNP) markers, and to map the cpi gene, with additional reference to introgression with the consensus map of species, aiming to identify markers for assisted selection to develop more efficient cultivars for BNF. The parents and 89 F2 plants were genotyped with 51,128 SNP markers, of which 910 polymorphic markers were used to construct the map. The results revealed 11 linkage groups, with an average of 82 markers per chromosome and average distance of 1.26 cM between markers. Recombination analysis of the SNPs indicated that markers 2_12850 and 2_00188, located in linkage group 11, flanked the cpi gene at a distance of 6.7 cM and 5.64 cM, respectively. The introgression of linkage group 11 with the cowpea reference map revealed short distances (from zero to 0.6 cM) for these markers, indicating a strong association with the cpi gene. The constructed map and cpi mapping provide basic information that can assist the genetic breeding of more efficient cowpea plants for BNF by marker-assisted selection.

Keywords:
Vigna unguiculata; nitrogen fixation; marker-assisted selection

Introduction

Cowpea (Vigna unguiculata (L.) Walp.) is an autogamous diploid species (2n = 2x = 22) with a genome size estimated at 620 Mb (Arumuganathan & Earle, 1991Arumuganathan, K., & Earle, E. D. (1991). Estimation of nuclear DNA content of plants by flow cytometry. Plant Molecular Biology Reporter, 9(3), 229-241. DOI: 10.1007/BF02672073
https://doi.org/10.1007/BF02672073...
). This legume species can fix N2 because of the species symbiotic relation with rhizobia (Leite et al., 2009Leite, J., Seido, S. L., Passos, S. R., Xavier, G. R., Runjaneck, N. G., & Martins, L. M. V. (2009). Biodiversity of rhizobia associated with cowpea cultivars in soils of the lower half of the São Francisco River Valley. Revista Brasileira de Ciência do Solo, 33(5), 1215-1226. DOI: 10.1590/S0100-06832009000500015
https://doi.org/10.1590/S0100-0683200900...
). This economically important characteristic for cowpea provides nitrogen and mineral accumulation by the symbiotic association with N2-fixing bacteria, depending on the macro- and microsymbiont interactions and environmental conditions (Mohammadi, Sohrabi, Heidari, Khalesro, & Majidi, 2012Mohammadi, K., Sohrabi, Y., Heidari, G., Khalesro, S., & Majidi, M. (2012). Effective factors on biological nitrogen fixation. Africam Journal of Agricultural Research, 7(12), 1782-1788. DOI: 10.5897/AJARX11.034
https://doi.org/10.5897/AJARX11.034...
; Belane, Pule-Meulenberg, Makhubedu, & Dakora, 2014Belane, A. K., Pule-Meulenberg, F., Makhubedu, T. I., & Dakora, F. D. (2014). Nitrogen fixation and symbiosis-induced accumulation of mineral nutrients by cowpea (Vigna unguiculata L. Walp.). Crop and Pasture Science, 65(3), 250-258. DOI: 10.1071/CP13283
https://doi.org/10.1071/CP13283...
). Although both parties of the association are susceptible to genetic variation, little information is available on the host plant (Bladergroen & Spaink, 1998Bladergroen, M. R., & Spaink, H. P. (1998). Genes and signal molecules involved in the rhizobia-leguminoseae symbiosis. Current Opinion in Plant Biology, 1(4), 353-359. DOI: 10.1016/1369-5266(88)80059-1
https://doi.org/10.1016/1369-5266(88)800...
; Shamseldin, 2013Shamseldin, A. (2013). The role of different genes involoved in symbiotic nitrogen fixation - Review. Global Journal of Biotechnology and Biochemistry, 8(4), 84-94. DOI: 10.5829/idosi.gjbb.2013.8.4.82103
https://doi.org/10.5829/idosi.gjbb.2013....
).

Initial interactions for nodule formation have increasingly improved due to the identification of non-nodulating plants (Nod-) in the presence of nitrogen-fixing bacteria. Non-nodulation is controlled by the host plant through the release of phenolic compounds incompatible with the nodulation promoter regions (nod-box), which are responsible for the induction of transcription of the bacterial genes essential to nodulation (Geurts, Fedorova, & Bisseling, 2005Geurts, R., Fedorova, H., & Bisseling, T. (2005). Nod factor signaling genes and their function in the early stages of Rhizobium infection. Current Opinion in Plant Biology, 8(4), 346-352. DOI: 10.1016/j.pbi.2005.05.013
https://doi.org/10.1016/j.pbi.2005.05.01...
; Madsen et al., 2010Madsen, L. H., Tirichine, L., Jurkiewicz, A., Sullivan, J. T., Heckmann, A. B., Bek, A. S., … Stougaard, J. (2010). The molecular network governing nodule organogenesis and infection in the model legume Lotus japonicus. Nature Communications, 1(10), 1-10. DOI: 10.1038/ncomms1009
https://doi.org/10.1038/ncomms1009...
; Okazaki et al., 2016Okazaki, S., Tittabutr, P., Teulet, A., Thouin, J., Fardoux, J., Chaintreuil, C., … Giraud, E. (2016). Rhizobium-legume symbiosis in the absence of Nod factors: two possible scenarios with or without the T3SS. The ISME Journal, 10(1), 64-74. DOI: 10.1038/ismej.2015.103
https://doi.org/10.1038/ismej.2015.103...
). Non-nodulating plants have been observed in several legume species and are usually determined by recessive alleles (Nigan, Nambiar, Dwivedi, Gibbons, & Dart, 1982Nigan, S. N., Nambiar, P. T. C., Dwivedi, S. L., Gibbons, R. W., & Dart, P. J. (1982). Genetics of nonnodulation in groundnut (Arachis hypogaea L.). Studies with single and mixed Rhizobium strains. Euphytica, 31(3), 691-693. DOI: 10.1007/BF00039207
https://doi.org/10.1007/BF00039207...
; Vest & Caldwell, 1972Vest, G., & Caldwell, B. E. (1972). Rj4 a gene controlling ineffective nodulation in soybean. Crop Science, 12(5), 692-693. DOI: 10.2135/cropsci1972.0011183X001200050042x
https://doi.org/10.2135/cropsci1972.0011...
; Ceccatto, Gomes, Sarries, Moon, & Tsai, 1988Ceccatto, V. M., Gomes, J. E., Sarries, G. A., Moon, D. H., & Tsai, S. M. (1988). Effects of host plant origin on nodulin activities and nitrogen fixation in Phaseolus vulgaris L. Plant and Soil, 204(1), 79-88. DOI: 10.1023/A:1004331011493
https://doi.org/10.1023/A:1004331011493...
; Novák, 2003Novák, K. (2003). Allelic relationships of pea nodulation mutants. Journal of Heredity, 94(2), 191-193. DOI: 10.1093/jhered/esg028
https://doi.org/10.1093/jhered/esg028...
).

Nitrogen fixation efficiency (Fix-) after nodulation has been reported in several legume species. Studies have demonstrated that this trait can be controlled by dominant (Vest, 1970Vest, G. (1970). RJ3-a gene conditioning ineffectiveness in soybean. Crop Science, 10(1), 34-35. DOI: 10.2135/cropsci1970.0011183X001000010013x
https://doi.org/10.2135/cropsci1970.0011...
; Markwei & LaRue, 1992Markwei, C. M., & LaRue, T. A. (1992). Phenotypic characterization of sym8 and sym9, two genes conditioning non-nodulation in Pisum sativum ‘Sparkle’. Canadian Journal of Microbiology, 38(6), 548-554. DOI: 10.1139/m92-090
https://doi.org/10.1139/m92-090...
) and recessive (Pedalino, Kipe-Nolt, Frusciante, & Monti, 1993Pedalino, M., Kipe-Nolt, J., Frusciante, L., & Monti, L. (1993). Common bean (Phaseolus vulgaris L.) mutants defective in root nodule formation: II genetic analysis. Journal of Experimental Botany, 44(6), 1015-1020. DOI: 10.1093/jxb/44.6.1015
https://doi.org/10.1093/jxb/44.6.1015...
; Park & Buttery, 1994Park, S. J., & Buttery, B. R. (1994). Inheritance of nonnodulation and Ineffective nodulation mutants In common bean (Phaseolus vulgaris L.). Journal of Heredity, 85(1), 1-3. DOI: 10.1093/oxfordjournals.jhered.a111383
https://doi.org/10.1093/oxfordjournals.j...
; Sagan, Huguet, & Duc, 1994Sagan, M., Huguet, T., & Duc, G. (1994). Phenotypic characterization and classification of nodulation mutants of pea (Pisum sativum L.). Plant Science, 100(1), 59-70. DOI: 10.1016/0168-9452(94)90134-1
https://doi.org/10.1016/0168-9452(94)901...
) alleles. Pemberton, Smith, and Miller Jr. (1990Pemberton, I. J., Smith, G. R., & Miller Jr., J. C. (1990). Inheritance of ineffective nodulation in cowpea. Crop Science, 30(3), 568-571. DOI: 10.2135/cropsci1990.0011183X003000030020x
https://doi.org/10.2135/cropsci1990.0011...
) and Purdom and Trese (1995Purdom, D., & Trese, A. T. (1995). Morphological and molecular characteristics of host-conditioned ineffective root nodules in cowpea. Plant Physiology, 109(1), 239-244. DOI: 10.1104/pp.109.1.239
https://doi.org/10.1104/pp.109.1.239...
) developed preliminary studies with the inefficient mutant IC-1, which presents small white nodules and small shoots compared with plants with effective symbiosis. The gene that confers BNF inefficiency was denominated cpi, and no studies have developed marker-assisted selection (MAS) for this gene.

Limitations for cowpea genetic linkage maps, such as low density and long distances between markers (Ouédraogo et al., 2002Ouédraogo, J. T., Gowda, B. S., Jean, M., Close, T. J., Ehlers, J. D., Hall, A. E., … Belzile, F. J. (2002). An improved genetic linkage map for cowpea (Vigna unguiculata L.) combining AFLP, RFLP, RAPD, biochemical markers, and biological resistance traits. Genome, 45(1), 175-188. DOI: 10.1139/G01-102
https://doi.org/10.1139/G01-102...
; Muchero et al., 2009Muchero, W., Diop, N. N., Bhat, P. R., Fenton, R. D., Wanamaker, S., Pottorff, M., … Close, T. J. (2009). A consensus genetic map of cowpea [Vigna unguiculata (L.) Walp.] and synteny based on EST-derived SNPs. Proceedings of the National Academy of Sciences, 106(43), 18159-18164. DOI: 10.1073/pnas.0905886106
https://doi.org/10.1073/pnas.0905886106...
; Agbicodo et al., 2010Agbicodo, E. M., Fatokun, C. A., Bandyopadhyay, R., Wydra, K., Diopet, N. N., Muchero, W., … Van Der Linder, C. G. (2010). Identification of markers associated with bacterial blight resistance loci in cowpea [Vigna unguiculata (L.) Walp.]. Euphytica, 175(2), 215-226. DOI: 10.1007/s10681-010-0164-5
https://doi.org/10.1007/s10681-010-0164-...
; Lucas et al., 2011Lucas, M. R., Diop, N., Wanamaker, S., Ehlers, J. D., Roberts, P. A., & Close, T. J. (2011). Cowpea-soybean synteny clarified through an improved genetic map. The Plant Genome, 4(3), 218-225. DOI: 10.3835/plantgenome2011.06.0019
https://doi.org/10.3835/plantgenome2011....
; Adetumbi, Akinyosoye, Olowolafe, Oloyede-Kamiyo, & Agbeleye, 2016Adetumbi, J. A., Akinyosoye, S. T., Olowolafe, M. O., Oloyede-Kamiyo, Q. O., & Agbeleye, O. A. (2016). Genetic linkage map of cowpea [Vigna unguiculata (L.) Walp] using SNP markers. African Journal of Biotechnollogy, 15(20), 830-834. DOI: 10.5897/AJB2015.15167
https://doi.org/10.5897/AJB2015.15167...
), were overcome by the consensus map provided by Muñoz-Amatriaín et al. (2017Muñoz-Amatriaín, M., Mirebrahim, H., Xu, P., Wanamaker, S. I., Luo, M., Alhakami, H., … Close, T. J. (2017). Genome resources for climate-resilient cowpea, an essential crop for food security. The Plant Jounal, 89(5), 1042-1054. DOI: 10.1111/tpj.13404
https://doi.org/10.1111/tpj.13404...
), which presents 37,372 SNP markers and spans 873.11 cM, with an average distance of 0.26 cM between markers. This consensus map allows the introgression of low-density genetic linkage groups, mapping, and the development of markers for MAS.

The objectives of this study were to construct a cowpea genetic map for the 11 linkage groups in the F2 population of the cross IC-1 x BRS Marataoã, based on SNP markers, and to map the cpi gene, with additional reference to introgression with the consensus map of the species, aiming to identify markers that allow assisted selection for the development of more efficient cultivars for BNF.

Material and methods

Plant material

A mapping population F2n = 89, resulting from the selfing of a single F1 progeny of the cross between a mutant line inefficient for nitrogen fixation (fix-) (IC-1) and a commercial variety efficient for nitrogen fixation (fix+) (“BRS Marataoã”), was used to map the cpi gene. All crosses, as well as the obtained populations (P1, P2, F1, and F2), were cultivated in a protected environment with 70% shade cloth at Embrapa Semiárido, Petrolina, Pernambuco State, Brazil.

All plants were grown in plastic pots containing 3 L of nonsterile soil. Rhizobial colonization was provided by the inoculation of a mixture of BR 3267, BR 3262, and BR 3299 bacteria, which are recommended for cowpea. Bacteria were cultured in YM liquid medium (Vincent, 1970Vincent, J. M. A. (1970). Manual for the practical study of root-nodule bacteria (IBP Handbook, 15). London, UK: International Biological Programme. ). At planting and 5 days after emergence, the seeds and seedlings, respectively, were inoculated via soil with 1 mL of inoculum, adjusted to 109 cells mL-1. Rhizobia strains were provided by Embrapa Agrobiologia, Seropédica, Rio de Janeiro State, Brazil. Efficient (green leaves) and inefficient (yellow leaves) plants for BNF in the F2 population were visually identified at 40 days after emergence. Inefficient plants for BNF showed typical symptoms of nitrogen deficiency (yellow leaves) and reduced shoot size.

Genotyping

Genomic DNA was extracted from young leaves using the modified CTAB protocol (Doyle & Doyle, 1990Doyle, J. J., & Doyle, J. L. (1990). Isolation of plant DNA from fresh tissue. Focus, 12(1), 13-15.). The extracted DNA was analyzed in a spectrophotometer (NanoDrop® ND-1000 UV-Vis) to estimate the DNA quality and concentration. The material was diluted in sterile water to a concentration of 50 ng μL-1 and stored at -20°C for subsequent analyses. Eighty-nine F2 plants and three replications for each parent were genotyped using The Cowpea iSelect Consortium Array which consists of 51,128 SNPs (WG-401-1002; Illumina, Inc.). Genotyping was performed on an iSCAN System bead chip reader at the Center for Public Health Genomics (University of Virginia School of Medicine). The SNPs were called and filtered in GenomeStudio 2.0 (Illumina, Inc.) according to the guidelines outlined in the Illumina genotyping technical notes (https://www.illumina.com/documents/ products/technotes/technote_infinium_genotyping_data_analysis.pdf) and a previously developed cowpea cluster file (Muñoz-Amatriaín et al., 2017Muñoz-Amatriaín, M., Mirebrahim, H., Xu, P., Wanamaker, S. I., Luo, M., Alhakami, H., … Close, T. J. (2017). Genome resources for climate-resilient cowpea, an essential crop for food security. The Plant Jounal, 89(5), 1042-1054. DOI: 10.1111/tpj.13404
https://doi.org/10.1111/tpj.13404...
). Genotype data were exported from GenomeStudio, and additional filtering was applied based on parental calls and expected F2 segregation. SNP markers with different genotypic classifications between parent replications, as well as monomorphic SNP markers between parents, were discarded. An F2 plant was discarded from the analysis due to failures in SNP reactions greater than 10%. The chi-square test was performed to identify and discard markers with Mendelian segregation distortion in the F2 population greater than ( = 0.01.

Linkage map development

The linkage map was constructed using the IciMapping QTL version 4.1 (Meng, Li, Zhang, & Wang, 2015Meng, L., Li, H., Zhang, L., & Wang, J. (2015). QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop Journal, 3(3), 269-283. DOI: 10.1016/j.cj.2015.01.001
https://doi.org/10.1016/j.cj.2015.01.001...
). Phenotypic data for efficient (chlorotic) plants and phenotypic data for inefficient (nonchlorotic) plants were converted to AH and B, respectively, for inclusion in the mapping analyses, based on software instructions.

Redundant SNP markers were discarded from the analysis using the “Binning” command in the software. The map order for each F2 individual was verified for the formation of the linkage groups using the “Grouping” command. The ordering algorithm nnTwoOpt (the nearest neighbor) was used to calculate the distances in the linkage groups. The sum of adjacent distances (SAD) criterion was applied using the function “Rippling.” The values obtained for the recombination frequencies were converted to genetic map distance (centimorgans) using the Kosambi function (Kosambi, 1943Kosambi, D. D. (1943). The estimation of map distances from recombination values. Annal of Human Genetics, 12(1), 172-175. DOI: 10.1111/j.1469-1809.1943.tb02321.x
https://doi.org/10.1111/j.1469-1809.1943...
). The number and orientation of the linkage group were assigned based on the cowpea consensus map (http://harvest.ucr.edu/).

Introgression of the linkage group 11 with the cowpea consensus map (Muñoz-Amatriaín et al., 2017Muñoz-Amatriaín, M., Mirebrahim, H., Xu, P., Wanamaker, S. I., Luo, M., Alhakami, H., … Close, T. J. (2017). Genome resources for climate-resilient cowpea, an essential crop for food security. The Plant Jounal, 89(5), 1042-1054. DOI: 10.1111/tpj.13404
https://doi.org/10.1111/tpj.13404...
) was used to saturate the region containing the cpi gene. Introgression was performed in the IciMapping QTL software, using the function “consensus map construction.”

Results and discussion

Efficient and inefficient plants for BNF were easily visualized. Small white nodules co-segregated with yellowish leaves, typical of the IC-1 line, which is inefficient for BNF, as reported by Pemberton et al. (1990Pemberton, I. J., Smith, G. R., & Miller Jr., J. C. (1990). Inheritance of ineffective nodulation in cowpea. Crop Science, 30(3), 568-571. DOI: 10.2135/cropsci1990.0011183X003000030020x
https://doi.org/10.2135/cropsci1990.0011...
). The segregation of the 169 F2 plants resulting from the cross IC-1 x “BRS Marataoã” revealed 44 inefficient and 125 efficient plants for BNF (Table 1). The 3:1 ratio observed in this cross indicates that BNF inefficiency is controlled by a recessive gene, as described by Pemberton et al. (1990).

Table 1
Chi-square ((2) test for number of efficient (green leaf) and inefficient (yellow leaf) plants, means and variances for the accumulated nitrogen-NA in cowpea in the parents and F1 and F2 generations for the cross IC-1 x BRS Marataoã.

Linkage map and identification of SNP markers linked to the cpi gene

After the elimination of monomorphic markers with different genotypic classifications in the parent replications or in cases where the loss of information was greater than 10%, 7,112 polymorphic markers were selected in the population. Afterward, markers in repetitive positions were discarded. The linkage map was constructed with 910 SNP markers, distributed in 11 linkage groups, with LOD scores ranging from 4 to 9 (Figures 1 and 2).

The 910 polymorphic SNPs detected in this study spanned 1,140.12 cM, with an average of 82 markers for each genetic linkage group and an average distance of 1.26 cM between markers, presenting high saturation compared with some maps available for cowpea. The longest and shortest lengths were observed for groups 3 and 10, respectively (Table 2). The largest gap devoid of markers (29.75 cM) was observed in linkage group 4, and the smallest gap devoid of markers (5.19 cM) was observed in linkage groups 2 and 6 (Table 2).

Studies on genetic linkage maps with molecular markers in cowpea are recent. Menéndez, Hall, and Gepts (1997Menéndez, C. M., Hall, A. E., & Gepts, P. A. (1997). Genetic linkage map of cowpea (Vigna unguiculata) developed from a cross between two inbred, domesticated lines. Theoretical and Applied Genetics, 95(8), 1210-1217. DOI: 10.1007/s001220050683
https://doi.org/10.1007/s001220050683...
) constructed the first genetic map of this species, associating the markers with pests, diseases, and morphological characteristics using an intraspecific cross. They used the markers 133 RAPD, 19 RFLP, and 25 AFLP to identify 12 linkage groups spanning 972 cM, with an average distance of 6.4 cM between markers, and linkage groups ranging from 3 to 257 cM. Ouédraogo et al. (2002Ouédraogo, J. T., Gowda, B. S., Jean, M., Close, T. J., Ehlers, J. D., Hall, A. E., … Belzile, F. J. (2002). An improved genetic linkage map for cowpea (Vigna unguiculata L.) combining AFLP, RFLP, RAPD, biochemical markers, and biological resistance traits. Genome, 45(1), 175-188. DOI: 10.1139/G01-102
https://doi.org/10.1139/G01-102...
), using the same mapping population with recombinant inbred lines (RIL) that was employed by Menéndez et al. (1997), constructed a linkage map with 441 AFLP, RFLP, and RAPD markers, spanning 2,670 cM, with an average distance of 6.43 cM between markers. This map associates several traits with resistance to viruses, diseases, and races 1 and 3 of Striga gesnerioides.

The linkage group in cowpea has progressed with Illumina GoldenGate SNP marker technology. This platform was developed and implemented to map 928 SNPs derived from expressed sequence tags (EST) of cowpea (Muchero et al., 2009Muchero, W., Diop, N. N., Bhat, P. R., Fenton, R. D., Wanamaker, S., Pottorff, M., … Close, T. J. (2009). A consensus genetic map of cowpea [Vigna unguiculata (L.) Walp.] and synteny based on EST-derived SNPs. Proceedings of the National Academy of Sciences, 106(43), 18159-18164. DOI: 10.1073/pnas.0905886106
https://doi.org/10.1073/pnas.0905886106...
). The map spanned 680 cM with 11 linkage groups and an average distance of 0.73 cM between markers. This map showed the evolutionary closeness between cowpea and soybeans and identified regions for synteny-based functional genomics studies in legume species.

Figure 1
Linkage groups (Chr) 1, 2, 3, 4, 5, and 6 constructed with SNPs and cpi gene markers in the F2 population of the IC-1 x BRS Marataoã cross.

Figure 2
Linkage groups (Chr) 6, 7, 8, 9, 10, and 11 constructed with SNPs and cpi gene markers in the F2 population of the IC-1 x BRS Marataoã cross.

Table 2
Genetic linkage groups with 910 SNP markers in the F2 population of the cross IC-1 x BRS Marataoã.

Agbicodo et al. (2010Agbicodo, E. M., Fatokun, C. A., Bandyopadhyay, R., Wydra, K., Diopet, N. N., Muchero, W., … Van Der Linder, C. G. (2010). Identification of markers associated with bacterial blight resistance loci in cowpea [Vigna unguiculata (L.) Walp.]. Euphytica, 175(2), 215-226. DOI: 10.1007/s10681-010-0164-5
https://doi.org/10.1007/s10681-010-0164-...
) constructed a genetic linkage map of cowpea with 113 recombinant lines using 282 SNP markers selected from the cowpea consensus map of Muchero et al. (2009Muchero, W., Diop, N. N., Bhat, P. R., Fenton, R. D., Wanamaker, S., Pottorff, M., … Close, T. J. (2009). A consensus genetic map of cowpea [Vigna unguiculata (L.) Walp.] and synteny based on EST-derived SNPs. Proceedings of the National Academy of Sciences, 106(43), 18159-18164. DOI: 10.1073/pnas.0905886106
https://doi.org/10.1073/pnas.0905886106...
). This map consisted of 11 linkage groups, totaling 633 cM, with an average distance of 2.24 cM between markers and was associated with resistance to the bacterium Xanthomonas axonopodis pv. Vignicola (Xav). Lucas et al. (2011Lucas, M. R., Diop, N., Wanamaker, S., Ehlers, J. D., Roberts, P. A., & Close, T. J. (2011). Cowpea-soybean synteny clarified through an improved genetic map. The Plant Genome, 4(3), 218-225. DOI: 10.3835/plantgenome2011.06.0019
https://doi.org/10.3835/plantgenome2011....
) constructed the consensus map of cowpea, allocating 1,107 SNP markers in 11 linkage groups, spanning 680 cM of the genome, with a distance of 0.62 cM. Muñoz-Amatriaín et al. (2017Muñoz-Amatriaín, M., Mirebrahim, H., Xu, P., Wanamaker, S. I., Luo, M., Alhakami, H., … Close, T. J. (2017). Genome resources for climate-resilient cowpea, an essential crop for food security. The Plant Jounal, 89(5), 1042-1054. DOI: 10.1111/tpj.13404
https://doi.org/10.1111/tpj.13404...
) presented a consensus map with 37,372 SNPs and a span of 873.11 cM, with an average distance of 0.26 cM.

The linkage map of the F2 population IC x BRS Marataoã (Figures 1 and 2) corresponded well to the consensus map of cowpea previously reported by Lucas et al. (2011Lucas, M. R., Diop, N., Wanamaker, S., Ehlers, J. D., Roberts, P. A., & Close, T. J. (2011). Cowpea-soybean synteny clarified through an improved genetic map. The Plant Genome, 4(3), 218-225. DOI: 10.3835/plantgenome2011.06.0019
https://doi.org/10.3835/plantgenome2011....
) and Muñoz-Amatriaín et al. (2016). Although the genome size in this study is larger than the consensus map of 680 cM and 837.1 cM, the present result is consistent and shows good accuracy, even using a smaller population and with fewer recombination events observed in the F2 population compared with the RIL populations used in the development of the consensus map.

Map introgression

For introgression markers in the cpi gene region, 3027 SNP markers of the linkage group 11 were used, which are available on the consensus map of cowpea (Muñoz-Amatriaín et al., 2017Muñoz-Amatriaín, M., Mirebrahim, H., Xu, P., Wanamaker, S. I., Luo, M., Alhakami, H., … Close, T. J. (2017). Genome resources for climate-resilient cowpea, an essential crop for food security. The Plant Jounal, 89(5), 1042-1054. DOI: 10.1111/tpj.13404
https://doi.org/10.1111/tpj.13404...
). The introgression of the maps for chromosome 11 resulted in a shorter distance because introgression was nonexistent for the locus with SNP 2_12850 and was 0.56 cM for the locus with SNP 2_54459, which was not included in the present analysis of the F2 population (Figure 3; Table 1).

Figure 3
Position of the cpi gene in group 11 of the consensus linkage map of cowpea.

The mapping of simple inheritance traits in cowpea was reported by Rodrigues, Santos, and Santana (2012Rodrigues, M. A., Santos, C. A. F., & Santana, J. R. F. (2012). Mapping of AFLP loci linked to tolerance to cowpea golden mosaic virus. Genetics and Molecular Research, 11(4), 3789-3797. DOI: 10.4238/2012.August.17.12
https://doi.org/10.4238/2012.August.17.1...
), who identified three AFLP markers linked to the resistance gene for cowpea golden mosaic virus, with two markers flanking this gene. Pottorff et al. (2012Pottorff, M., Wanamaker, S., Ma, Y. Q., Ehlers, J. D., Roberts, P. A., & Close, T. J. (2012). Genetic and physical mapping of candidate genes for resistance to Fusarium oxysporum f.sp. tracheiphilum race 3 in cowpea [Vigna unguiculata (L.) Walp]. Public Library of Science, 7(7), 1-12. DOI: 10.1371/journal.pone.0041600
https://doi.org/10.1371/journal.pone.004...
) mapped the resistance locus of Fusarium oxysporum (Fot3-1) race 3 to a 1.2 cM region and identified the SNP marker 1_1107 as co-segregating with Fot3-1 in cowpea. These studies show that candidate genes can be identified for simply inherited agronomic traits.

The present study identified, in a pioneering way, the genomic region related to inefficient plants for nitrogen fixation, and the markers 2_12850 and 2_00188 were located at a distance of 6.7 cM and 5.64 cM, respectively, flanking the cpi gene region. The introgression with the cowpea consensus map reduced the distance between markers and the cpi gene, possibly due to the wide spanning, favoring the joint analysis of the dominant marker (cpi) with the codominant marker (SNP). In the scenario provided by the introgression of linkage group 11, the distances of the SNP flanking the cpi gene were reduced to zero or 0.6 cM, indicating that this is a chromosomal region strongly associated with the gene of the nitrogen fixation inefficiency in cowpea.

Conclusion

Despite the genetic maps available for cowpea in the literature, no marker linked to the BNF inefficiency gene has been identified. Therefore, this is the first map using a V. unguiculata population segregating for N2 fixation. The markers 2_12850 / 2_54459, identified in the present study, emerge as strong candidates for use in molecular marker-assisted selection, given their greater proximity to the cpi gene, which confers inefficiency to nitrogen fixation in cowpea.

Acknowledgements

Sirando L. Seido has a CAPES scholarship. Carlos A. F. Santos is a CNPq researcher. Arthur T. Trese provided the IC-1 seeds.

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Publication Dates

  • Publication in this collection
    23 Sept 2019
  • Date of issue
    2019

History

  • Received
    28 Nov 2017
  • Accepted
    16 Mar 2018
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