Literature DB >> 34977588

Recent advances in faba bean genetic and genomic tools for crop improvement.

Hamid Khazaei1, Donal M O'Sullivan2, Frederick L Stoddard3, Kedar N Adhikari4, Jeffrey G Paull5, Alan H Schulman6,7, Stig U Andersen8, Albert Vandenberg1.   

Abstract

Faba bean (Vicia faba L.), a member of the Fabaceae family, is one of the important food legumes cultivated in cool temperate regions. It holds great importance for human consumption and livestock feed because of its high protein content, dietary fibre, and nutritional value. Major faba bean breeding challenges include its mixed breeding system, unknown wild progenitor, and genome size of ~13 Gb, which is the largest among diploid field crops. The key breeding objectives in faba bean include improved resistance to biotic and abiotic stress and enhanced seed quality traits. Regarding quality traits, major progress on reduction of vicine-convicine and seed coat tannins, the main anti-nutritional factors limiting faba bean seed usage, have been recently achieved through gene discovery. Genomic resources are relatively less advanced compared with other grain legume species, but significant improvements are underway due to a recent increase in research activities. A number of bi-parental populations have been constructed and mapped for targeted traits in the last decade. Faba bean now benefits from saturated synteny-based genetic maps, along with next-generation sequencing and high-throughput genotyping technologies that are paving the way for marker-assisted selection. Developing a reference genome, and ultimately a pan-genome, will provide a foundational resource for molecular breeding. In this review, we cover the recent development and deployment of genomic tools for faba bean breeding.
© 2021 The Authors. Legume Science published by Wiley Periodicals LLC.

Entities:  

Keywords:  Vicia faba; breeding; gene discovery; genomic resources; mapping population

Year:  2021        PMID: 34977588      PMCID: PMC8700193          DOI: 10.1002/leg3.75

Source DB:  PubMed          Journal:  Legum Sci        ISSN: 2639-6181


INTRODUCTION

Faba bean ( L.) is one of the first domesticated food legumes and has a long history of cultivation; seeds as old as 14,000 years were identified in the southern Levant (Caracuta et al., 2016). Faba beans are widely grown for food and feed as a generous source of high‐quality protein, dietary fibre and other valuable nutrients (Duc, 1997; Khazaei & Vandenberg, 2020). The protein content of faba bean seeds is about 29% of the dry matter (Warsame et al., 2018), which makes it one of the main sources of affordable protein for people in the Middle East, Latin America and Africa, and for livestock feed in many developed countries. Faba bean, like most other legumes, forms a symbiosis with nodule‐forming bacteria that have nitrogen fixing ability, which provides major benefits to cropping systems and the environment and contributes to agricultural sustainability by soil improvement. It is considered an excellent protein crop due to its ability to provide nitrogen inputs into temperate agricultural systems on account of its wide adaptation (Rispail et al., 2010), as well as its high yield potential and nitrogen‐fixing capacity even when nitrogen is present in the soil (Herridge et al., 2008), compared with other grain legumes (Cernay et al., 2015). These particular nitrogen‐fixing traits in combination with yield potential mean that faba bean can be produced in a sustainable manner, making it particularly well‐suited for providing the protein required for the globally expanding plant‐based food chain. Faba bean delivers plant protein products suitable for consumption both by those with soybean ( (L.) Merr.) allergy or intolerance and by those wishing local products. According to Food and Agriculture Organization Corporate Statistical Database (2019), faba bean is the fourth most widely grown cool‐season grain legume (pulse) globally after pea ( L.), chickpea ( L.), and lentil ( Medik.), with annual production of around 4.5 million tonnes from nearly 2.5 Mha. Faba bean improvement is currently impeded by development of rich genomic resources having not kept pace with those of other cool‐season grain legumes. Faba bean is a partially allogamous diploid species with six pairs of remarkably large chromosomes. Its genome is one of the largest of any diploid field crop, about 13 Gbp in the haploid complement (Soltis et al., 2003) and contains more than 85% repetitive DNA (Novák et al., 2020). The large genome of faba bean is 2.9, 3.0 and 15.9 times larger than pea, lentil and chickpea, respectively. Assembly of the faba bean genome and map‐based cloning was delayed both due to its genome complexity (e.g. abundance of transposable elements) and the lower investment in its study compared with, for example, soybean. In the absence of a reference genome assembly for this species, high‐throughput approaches such as transcriptome analysis have been efficient tools for enrichment of genomic resources (e.g. Arun‐Chinnappa & McCurdy, 2015; Braich et al., 2017; Khan et al., 2019; Ocaña et al., 2015; Ray et al., 2015). However, from these reported transcriptome datasets, only limited DNA sequence data are available in public databases (Mokhtar et al., 2020). Additionally, the development of high‐density genetic maps derived from multiple populations and gene‐based molecular markers, particularly those developed by Webb et al. (2016) and Carrillo‐Perdomo et al. (2020), has paved the road to marker‐assisted selection (MAS) and gene discovery. For example, the elucidation of the biosynthetic pathway for the pyrimidine glycosides vicine and convicine (v‐c) (Björnsdotter et al., 2020), which have been the main factors limiting faba bean cultivation and usage in many warm regions, was not possible without the combination of transcriptome data (Ray et al., 2015) and gene‐based comparative mapping approaches (Khazaei et al., 2015, 2017). Two recent review papers on this topic cover the coming of age of faba bean genetics and genomics in some detail (see Maalouf et al., 2019; O'Sullivan & Angra, 2016), but, since then, major progress on the key seed anti‐nutrients v‐c (Björnsdotter et al., 2020), seed coat tannins (e.g. Gutiérrez et al., 2020; Gutiérrez & Torres, 2019), as well as improved mapping approaches (Carrillo‐Perdomo et al., 2020) and transcriptome data (see Section 3), has been made (e.g. Gao et al., 2020; Wu et al., 2020; Yang et al., 2020). We provide here a comprehensive review on the mapping population and genomic resources in this species.

GENOMIC RESOURCES

Genetic maps

Genetic linkage maps have been developed in faba bean using different types of populations and molecular markers (Table 1). Sirks (1931) was the first to report a faba bean genetic map, identifying 19 genetic factors that formed four linkage groups. His genetic resources were lost during World War II. Four decades later, Sjödin (1971) used translocation lines for the assignment of different loci (for morphological observations, flower and seed coat colour) to their respective chromosomes. Genetic mapping studies were developed in the 1990s first with the aid of morphological markers, isozymes, seed protein genes and random amplified polymorphic DNA (RAPD) markers. Later, the development of expressed sequence tags (ESTs), microsatellites or single sequence repeats (SSRs), EST‐SSRs and single nucleotide polymorphism (SNP) markers helped to enrich faba bean genetic studies and breeding. The first DNA‐based linkage map in faba bean was constructed with only 17 markers, of which 10 were RFLPs (restriction fragment length polymorphism) (van de Ven et al., 1991). The first set of SSR markers were developed by Požárková et al. (2002) and then mapped by Román et al. (2004). A composite gene‐based map, anchored with orthologous markers mapped in Gaertn., was developed by Ellwood et al. (2008); synteny and genic collinearity among the legumes make the data applicable to and other legumes (Lee et al., 2017). Kaur, Kimber, et al. (2014) reported the first exclusively SNP‐based generic map of faba bean. Satovic et al. (2013) reported the first reference consensus genetic map, which covered 4062 cM (centiMorgan) in six main linkage groups, corresponding to the six chromosomes of faba bean. Table 1 shows that with the development of faba bean sequences and marker datasets, there was a correspondingly encouraging increase in the density and utility of gene‐based genetic maps. In the last few years, the significant advancements in genotyping and sequencing technologies have led to two new SNP‐based highly dense consensus maps. An international effort resulted in the first consensus map for six mapping populations, based on SNP markers derived from (Webb et al., 2016). It contained 687 SNP markers on six linkage groups, each presumed to correspond to one of the faba bean chromosomes. Carrillo‐Perdomo et al. (2020) recently reported the most saturated consensus genetic map to date: it was constructed using three mapping populations and encompassed 1728 SNP markers distributed in six linkage groups. Solid proof of macro‐synteny was also observed between this map and the most closely related legume species that have been sequenced. Recently, a database of ESTs, EST‐SSRs, mtSSRs (mitochondrial‐simple sequence repeats) and microRNA‐target markers in faba bean has been launched (Mokhtar et al., 2020). Now that most pulse genomes are available, it is important to implement comparative genomic approaches, which will ultimately assist in the identification of candidate genes, quantitative trait loci (QTL) mapping, and assembly of the genome in faba bean.
TABLE 1

Information on available genetic maps constructed from bi‐parental population and traits mapped in faba bean

PopulationMarker typePopulation typePopulation sizeMap length (cM)Ave. inter‐marker distance (cM)Mapped traitsReferences
172 × Optica7 RFLPs, 4 morphologicals, 3 isozymes, 3 RAPDsBC231van de Ven et al. (1991)
Vf6 × (Vf173, Vf35)43 RAPDs, 7 isozymes, 1 RFLP2 F2s20 + 44300–350Torres et al. (1993)
172 × Optica8 morphologicals, 7 RFLPs, 4 isozymes, 4 RAPDsBCF2 300Biochemical and morphological traitsRamsay et al. (1995)
Vf6 × (Vf2 T5,6; a Vf33 T3,4; Vf159 T4,5,6)147 RAPDs, 9 isozymes, 1 morphological7 F2s813 (total)850Satovic et al. (1996)
Vf6 × (Vf17, Vf27, Vf46)105 RAPDs, 7 isozymes, 3 seed protein genes, 1 morphological3 F2s175120020Seed weightVaz Patto et al. (1999)
34Morocco × Kristall 2577 RAPDsF7 5797314.66Surahman (2001)
Vf6 × Vf136117 RAPDs, 2 isozymes, 2 seed protein genesF2 196144513.72Broomrape and ascochyta blight resistanceRomán et al. (2002; 2003)
Vf6 × (Vf2 T5,6; Vf33 T3,4; Vf27; Vf27 T4,6; Vf136; Vf159 T4,5,6)176 RAPDs, 6 isozymes, 4 SSRs, 3 seed protein genes, 2 morphologicals11 F2s654 (total)15598Rust, broomrape and ascochyta blight resistanceRomán et al. (2004)
29H × Vf13694 RAPDs, 4 isozymes, 3 SSRs, 2 seed protein genesF2 1591308Rust and ascochyta blight resistance, and agronomic traitsAvila et al. (2003; 2004; 2005)
Vf6 × Vf27151 ITAPsF6 94168614.6Ellwood et al. (2008)
Côte D'Or/1 × BPL 4628131 RAPDs, 1 morphologicalF6 101163514.73Frost tolerance and physiologically related traitsArbaoui et al. (2008)
Vf6 × Vf136238 RAPDs, 21 ISMs, 6 SSRs, 5 EST‐derived markers, 4 isozymes, 2 STSs, 1 SCARF6 165285712.72Ascochyta blight and broomrape resistanceDíaz‐Ruiz, Satovic, et al. (2009), Díaz‐Ruiz, Torres, et al. (2009) and Díaz‐Ruiz et al. (2010)
Vf6 × Vf27167 EST‐derived markers, 71 RAPDs, 11 SSRs, 3 RGAs, 3 seed protein genes, 2 isozymes, 1 morphologicalF6 12418757.26Flowering, yield‐related traits, plant architecture and yieldCruz‐Izquierdo et al. (2012) and Ávila et al. (2017)
91825 × K1563128 SSRsF2 129158712.4Ma et al. (2013)
29H × Vf136121 RAPDs, 38 EST‐derived markers, 6 SSRs, 5 RGAs, 1 defense‐related gene, 1 seed protein geneF7:8 11914029.87Broomrape resistanceGutiérrez et al. (2013)
Vf6 × Vf27, Vf6 × Vf136, 29H × Vf136729 markers in total3 RILs124 + 165 + 11946136Consensus mapSatovic et al. (2013)
Icarus × Ascot465 SNP markers, 57 EST‐SSRsF5:6 9512172.3Ascochyta blight resistance and flowering timeKaur, Kimber, et al. (2014) and Catt et al. (2017)
Mélodie/2 × ILB 938/2188 SNP markers, 1 morphologicalF5 2119285.8Drought adaptation‐related and morphological traits, and vicine‐convicineKhazaei et al. (2014a2014b, 2015)
Nubaria 2 × Misr 3552 EST‐SSRsF2 1096881.25El‐Rodeny et al. (2014)
Albus × BPL 10, Albus × 29H, Hedin × CGN07715 cf‐3, NV644–1 × IG 12658, Mélodie/2 × ILB 938/2, Côte D'Or/1 × BPL 4628/1521687 SNP markers4 F2s, 2 RILs136 + 165 + 52 + 192 + 200 + 10114042.6Consensus map, flower color (zt1)Webb et al. (2016)
Fiord × Doza#120342784 SNP markersF6 10410270.37Rust resistanceIjaz (2018)
91825 × K1563465 SSRsF2 12945179.71Yang et al. (2019)
Nura × Farah1152 SNP markersF4 14510221.45Ascochyta blight resistanceSudheesh et al. (2019)
Disco/2 × ILB 938/2257 SNP markers, 2 morphologicalsF6 1769185.4Flower color (zt2)Zanotto et al. (2020)
(Nova Gradiska, Silian & Quasar) × Hiverna1728 SNP markers3 F3s102 + 147 + 9615480.89Consensus mapCarrillo‐Perdomo et al. (2020)
Vf6 × Vf27Cruz‐Izquierdo et al. (2012) + 44 KASPs and 37 dehiscence‐related markersF8:9 1244421Pod dehiscenceAguilar‐Benitez et al. (2020)

Abbreviations: EST, expressed sequence tags; ISM, intron‐spanning marker; ITAP, intron targeted amplified polymorphism; KASP, kompetitive allele specific PCR; RAPD, random amplified polymorphic DNA; RFLP, restriction fragment length polymorphism; RGA, resistant gene analogs; RIL, recombinant inbred lines; SCAR, sequence characterized amplified region; SNP, single nucleotide polymorphism; SSR, simple sequence repeat; STS, sequence tagged sites.

T refers to the assignment of linkage groups to chromosomes by trisomic segregation.

Information on available genetic maps constructed from bi‐parental population and traits mapped in faba bean Abbreviations: EST, expressed sequence tags; ISM, intron‐spanning marker; ITAP, intron targeted amplified polymorphism; KASP, kompetitive allele specific PCR; RAPD, random amplified polymorphic DNA; RFLP, restriction fragment length polymorphism; RGA, resistant gene analogs; RIL, recombinant inbred lines; SCAR, sequence characterized amplified region; SNP, single nucleotide polymorphism; SSR, simple sequence repeat; STS, sequence tagged sites. T refers to the assignment of linkage groups to chromosomes by trisomic segregation.

Mapping populations

Published studies in faba bean to date have mostly involved bi‐parental populations, derived from crosses between two inbred lines. Several types of bi‐parental mapping populations, such as F2, backcrosses and recombinant inbred lines (RILs), have been employed for genetic map construction and trait mapping. The relatively large set of interconnected bi‐parental populations that segregate for diverse important traits in this species will help advance faba bean breeding (Table 1). These types of populations are easy to construct and represent a powerful tool for QTL detection. Their optimal allele frequency and low rate of linkage disequilibrium decay within chromosomes means that only a few hundred RILs/markers are needed to map a QTL (Scott et al., 2020). Despite the advantages of bi‐parental populations, their mapping precision is low due to the low total amount of genetic recombination, as only two alleles are present at any locus, and to the low amount of genetic diversity that can be created by only two founders. These factors may limit the number of QTLs captured. Multi‐parent populations have been developed to cope with the limitations of bi‐parental populations (Scott et al., 2020). In faba bean, a multi‐parent population derived from 11 European winter bean founders was created and employed to identify genomic regions controlling frost adaptation (Sallam & Martsch, 2015). A multi‐parent population from four founders (ILB 938/2, Disco/2, IG 114476 and IG 132238) was developed for preliminary characterization of important morphological and biochemical traits (Khazaei, Stoddard, et al., 2018). A genetic map with 11 K loci is being developed using a 50 K Axiom SNP genotyping array (O'Sullivan et al., 2019). This population segregates for a number of traits including v‐c, seed coat tannin (white‐flowered parent carrying the zt2 gene), seed size and colour, and branching. A MAGIC (multi‐parent advanced‐generation intercross) population comprising over 2000 F4 individuals is currently under development at ICARDA (International Center for Agricultural Research in Dry Areas), combining eight diverse parents with sources for heat, drought, ascochyta blight, chocolate spot, rust and broomrape resistance (Maalouf et al., 2019). Because in multi‐parental populations there can be as many alleles per locus as founders, quantifying genetic interactions between loci requires the large numbers of individuals (>1000), found in typical MAGIC populations. Table 2 lists the faba bean genotypes and parental lines that have been used for genetic map construction or transcriptome analysis. Over 70% of the germplasm used for mapping purposes belongs to the Mediterranean adaptation zones (Australia, southern Europe and North Africa). The global collection of faba bean germplasm across 37 genebanks exceeds 43,000 accessions. The ICARDA collection comprises more than 8500 accessions held in Lebanon and Morocco by April 2020 (20% of the global collection, Westengen et al., 2020). Despite the wealth of faba bean germplasm, characterization and preliminary evaluation remain a challenge. Faba bean is represented in the collections by only the cultivated forms, and a wide range of variation in plant and seed phenotypic characteristics have been reported (Khazaei, 2014; Maalouf et al., 2019). The development of a reference genome, gene functional analyses and genotype–phenotype association, together with the development of high‐throughput genotyping platforms, will facilitate characterization of the genetic diversity within the germplasm collections as well as understanding of its potential. It will aid exploitation of the diversity as a key resource for breeding.
TABLE 2

Information on faba bean germplasm used for genetic population construction and transcriptome analysis purposes

LineOrigin/donorTrait(s) of interestDescription
Mapping population
Ac1655AustraliaRust resistanceEuropean line (V‐300) introduced from Spain (Adhikari et al., 2016)
Albus a PolandLow tanninWhite‐flowered (zt1), Albus (Latin) means white
Ascot a AustraliaResistant to ascochyta blightSelection from cv. Fiord. Original source of germplasm is Greece (Kaur, Cogan, et al., 2014)
BPL 10 a JordanNematode resistantPure line selection from accession IG 101769 (ILB 6)
BPL 228 (34Morocco)MoroccoPure line selection from IG 11335 (ILB 141)
BPL 4628ChinaFrost tolerantPure line selection from IG 106387 (ILB 3009) from Anhui, China
CGN07715GAUG, GermanyClosed flowerFrom CGN grain legumes collection, Wageningen, Netherlands
Côte d'OrINRA, FranceFrost tolerantOld French winter bean from Côte d'Or region of Burgundy (Picard et al., 1985). Yellow (buff) seed coat (Yg)
DiscoINRA, FranceLow tanninLow v‐c, white‐flowered (zt2)
Doza a AustraliaRust resistancePedigree: Ac383 × triple White. Original sources of germplasm are Ethiopia and Sudan, respectively
Farah a AustraliaResistant to ascochyta blightSelection from cv. Fiesta (selection from BPL 1196 from Spain) ( Kaur, Cogan, et al., 2014 )
Fiord a AustraliaThe first faba bean cultivar released in Australia. Selection from Ac59 from the island of Naxos, Greece (Kaur, Cogan, et al., 2014)
Hedin a GAUG, GermanyHighly inbred and autofertile, small seed size, and high seed numberIt has already been adopted in a number of genomics projects as a reference genotype. Released in 1986 and has “Herz Freya” in its background
HivernaGermanyFrost tolerantLarge‐seeded winter bean, from NPZ released in 1986 (Link et al., 2010)
ILB 938 (IG 12132)Andean region of Colombia and EcuadorDrought adaptation, chocolate spot and rust resistanceILB 938 (BPL 1179) is the result of mass selection from ILB 438 (BPL 710) based on seed size (Khazaei, Link, 2018). It carries a rare allele (ssp1) that decouples pigmentation in flowers from that in stipules ( Khazaei et al., 2014b )
Icarus a AustraliaResistant to chocolate spot and rustIcarus was derived from BPL 710 (see above) ( Kaur, Cogan, et al., 2014 )
IG 12658EthiopiaDwarfA dwarf accession carrying gibberellic acid deficiency gene (Hughes et al., 2020)
K1563ChinaWinter beanSmall‐seeded
KasztelanPolandLow tanninWhite‐flowered (zt1), the NIAB accession code is NV644
Kristall 25GermanyDeveloped in Lochow Petkus in 1973
MélodieINRA, FranceLow v‐cHigh water use efficiency (Khazaei et al., 2014a)
Misr 3EgyptResistance to broomrapeEarly flowering, small‐seeded. Pedigree: ((Giza 3 × ILB 938) × Cairo 241)) × (Giza 3 × 23A/45/76) (Attia et al., 2013)
Nova GradiskaCroatiaResistance to seed weevils (Bruchus spp.) (Carrillo‐Perdomo et al., 2019)Small‐seeded
Nubaria 2EgyptDrought adaptationAdapted to the Nubaria region in Egypt. Late flowering, large‐seeded. Pedigree: ILB 1550 × Radiation 2095/76
NuraAustraliaResistant to ascochyta blight and moderate resistant to chocolate spotPedigree: Icarus × Ascot. Original sources of germplasm are Ecuador and Greece, respectively ( Kaur, Cogan, et al., 2014 )
OpticaNetherlandsResistant to freezing, low tanninLarge‐seeded, white‐flowered (zt1)
QuasarUKResistance to seed weevils (Carrillo‐Perdomo et al., 2019)Winter bean adapted to oceanic climate
Silian Northern Sudan Small‐seeded
Vf6IFAPA, SpainResistant to ascochyta blightAsynaptic breeding line program from Córdoba
Vf27IFAPA, SpainPod dehiscent Paucijuga type
Vf136 a IFAPA, SpainModerate level of resistance to broomrapeFrom the progeny selection of Vf1071 × alameda. Vf1071 is a broomrape resistant line selected from cv. Giza 402. Alameda is a commercial variety well adapted to southern Spain
172AfghanistanHigh levels of post‐harvest seed dormancy Paucijuga type
91825ChinaWinter beanLarge‐seeded
29H a INRA, FranceResistant to ascochyta blightSmall‐seeded breeding line developed at INRA
Transcriptome
AO 1155INRA, FranceLow v‐cSmall‐seeded, white‐flowered (zt1)
CDC FatimaCanadaAn established cultivar developed for use in the prairie provinces of Canada. Selection from a landrace known as Chinese broad bean (Graf & Rowland, 1987)
Hassawi‐2Saudi ArabiaDrought adaptationLocal landrace
SSNS‐1CanadaSmall‐seededBulk selection from cv. Ackerperle from Germany
Tongxian‐2ChinaWinter beanVegetable type
WindsorUKLarge‐seeded, long pods
WizardUKHigh‐yielding with large attractive seeds, ascochyta blight resistanceLarge‐seeded winter bean from Wherry & Sons, UK, released in 2002
Y078ChinaSalt sensitive
Y134ChinaSalt tolerant

Note: ICARDA maintains faba bean germplasm in two classes, international legume bean (ILB) accessions from different countries, and bean pure line (BPL) accessions that are derived through selfing from accessions drawn from the ILB collection.

Abbreviations: CDC, Crop Development Centre; CGN, Centre for Genetic Resources, the Netherlands; GAUG, Georg‐August‐University, Göttingen; ICARDA, International Center for Agricultural Research in Dry Areas; IFAPA, Instituto de Investigación y Formación Agroalimentaria; INRA, Institut National de la Récherche Agronomique; NAIB, National Institute of Agricultural Botany; v‐c, vicine‐convicine.

Used for both mapping and transcriptome research.

Information on faba bean germplasm used for genetic population construction and transcriptome analysis purposes Note: ICARDA maintains faba bean germplasm in two classes, international legume bean (ILB) accessions from different countries, and bean pure line (BPL) accessions that are derived through selfing from accessions drawn from the ILB collection. Abbreviations: CDC, Crop Development Centre; CGN, Centre for Genetic Resources, the Netherlands; GAUG, Georg‐August‐University, Göttingen; ICARDA, International Center for Agricultural Research in Dry Areas; IFAPA, Instituto de Investigación y Formación Agroalimentaria; INRA, Institut National de la Récherche Agronomique; NAIB, National Institute of Agricultural Botany; v‐c, vicine‐convicine. Used for both mapping and transcriptome research.

Trait mapping

The first faba bean QTL mapping study was reported by Ramsay et al. (1995), who detected several loci for morphological and biochemical traits including v‐c. QTL mapping in faba bean for biotic stresses, such as resistance to pathogenic fungi or parasitic plants, has been attempted (Table 1). Two of the major constraints in Mediterranean climates, namely, ascochyta blight (caused by Ascochyta fabae Speg.,) and broomrape ( Forsk. and Poir.), have been widely subjected to QTL studies using F2 and RIL populations (Table 1). The QTLs accounting for significant proportions of ascochyta blight resistance have been validated in multi‐environment trials (Atienza et al., 2016). In addition, some attention has been given to rust resistance (Uromyces viciae‐fabae (Pers.) J. Shört.) (Avila et al., 2003; Ijaz, 2018). Recently, two mapping populations (Fiord × Doza#12034 and Fiord × Ac1655) have been developed at the University of Sydney, in which KASP (Kompetitive Allele Specific PCR) markers for rust resistance genes Uvf‐2 and Uvf‐3 have been identified (Ijaz, 2018). However, until now, there has been no attempt to map QTLs or genes governing chocolate spot (caused by Botrytis fabae Sard.) resistance, in spite of the importance and widespread nature of this disease globally. A few RIL populations suitable for chocolate spot genetic studies have been developed using ILB 938, an accession with proven resistance to chocolate spot (reviewed by Khazaei, Link, et al., 2018). Two mapping populations (Mélodie/2 × ILB 938/2 and Disco/2 × ILB 938/2) have been phenotyped at the University of Saskatchewan and QTL mapping is underway. In addition, a list of faba bean accessions with resistance to chocolate spot is available (Maalouf et al., 2016). Some progress has been made in identifying QTLs for abiotic stresses such as frost tolerance (Arbaoui et al., 2008; Sallam et al., 2016; Sallam & Martsch, 2015), traits related to drought adaptation (Ali et al., 2016; Khazaei et al., 2014a), and yield (Ávila et al., 2017; Cruz‐Izquierdo et al., 2012). QTLs controlling abiotic stress responses in faba bean, detected by either QTL mapping or association mapping approaches, have been discussed by Sallam and Ul‐Allah (2019). Given the few QTLs reported in faba bean compared with other pulses, saturation of the genomic regions associated with target regions and QTL validation in multiple environments and genetic backgrounds are needed to uncover reliable marker‐trait associations such as those reported by Aguilar‐Benitez et al. (2020) for pod dehiscence. The marker density in faba bean has recently been significantly increased (Carrillo‐Perdomo et al., 2020; O'Sullivan et al., 2019); this development will facilitate fine QTL mapping and gene identification.

Successful gene discoveries in the absence of a faba bean reference genome

Despite the relatively limited discovery of genes and QTLs for disease resistance and abiotic stress tolerance, the discovery of genes for the seed anti‐nutritional factors v‐c and tannins, which place major limitations on faba bean usage, has progressed considerably very recently. Vicine and convicine are stored in cotyledons of most faba beans at about 1% of dry matter (Khazaei et al., 2019). They are toxic in people who have a hereditary recessive mutation affecting the enzyme glucose‐6‐phosphate dehydrogenase (G6PD, Luzzatto & Arese, 2018). The first two mapping studies on v‐c content (Gutiérrez et al., 2006; Ramsay et al., 1995) revealed that it was controlled by one major locus. Khazaei et al. (2015) showed that the distribution of v‐c concentration was bimodal, which was consistent with the detection of a single major QTL at the previously reported vc locus on faba bean chromosome 1. Later, a robust, breeder‐friendly and high‐throughput KASP marker was developed and validated from this region (Khazaei et al., 2017). This marker was found to reside within the bifunctional riboflavin biosynthesis protein RIBA1, the gene for which is now termed VC1, that underlies the major v‐c QTL and catalyses a key step in v‐c biosynthesis (Björnsdotter et al., 2020). The VC1 gene identification, which relied on genetic mapping and gene‐to‐metabolite correlations, now paves the way for development of faba bean cultivars free from v‐c based on new insight into the v‐c biosynthetic pathway. Seed coat tannins limit faba bean use in food and feed; a low tannin phenotype, characterised by white flower colour, is controlled by two unlinked recessive genes, zt1 and zt2. A comparative mapping approach identified an ortholog of the WD40 transcription factor TTG1 (Transparent Testa Glabra 1), located on chromosome 2, as the zt1 gene (Webb et al., 2016). These results have been recently confirmed by Gutiérrez and Torres (2019), who characterized zt1 and proved the high similarity of the gene sequence with other legume species. An allele‐specific diagnostic marker was also developed that differentiates zt1 from other genotypes. Gutiérrez et al. (2020) reported the bHLH transcription factor VfTT8 (Transparent Testa8) located on chromosome 3 as the zt2 gene. A robust KASP marker for the zt2 gene is now available (Zanotto et al., 2020). Besides the successful gene discovery for quality traits mentioned above, progress was also made for gene discovery and development of a diagnostic molecular marker for the terminal inflorescence gene (ti) in faba bean (Avila et al., 2006, 2007). The TFL1 (Terminal Flower 1), as main regulator of inflorescence development in legumes (Benlloch et al., 2015), was responsible for the determinate growth habit in faba bean (Vf_TFL1) and is located on chromosome 5.

TRANSCRIPTOMES

A number of transcriptomes have been reported for faba bean (Table 3), albeit in the absence of a reference genome. These datasets were generated from a selection of different genotypes and tissues at various development stages or treatments. Recent reviews of this topic (Maalouf et al., 2019; O'Sullivan & Angra, 2016) described the faba bean transcriptome contributions up to 2016 that were used for the development of molecular markers for genetic mapping (listed in Table 3). Since then, the transcriptome data coverage has been further enriched (Braich et al., 2017; Cooper et al., 2017). A high proportion of transcripts (about 96%) from Webb et al. (2016) was captured by transcriptome data of Braich et al. (2017). The sequence length data were increased at 461 chromosomal loci and provided increased accuracy by Cooper et al. (2017) compared with transcriptome data in Webb et al. (2016). The transcriptome data of Braich et al. (2017) revealed that faba bean, despite its large complex genome, compared similarly with other legume species in expressed gene content.
TABLE 3

Summary of published transcriptome data in faba bean

ReferencesAim of studyTissueOutputNGS platforms
Ray and Georges (2010)Development of EST sequencesEarly to mid‐developed embryo5000 ESTs454 sequencing technology
Kaur et al. (2012)Design and evaluation of EST‐SSRsYoung and mature leaf, stem, flower, immature pod, mature pod and immature seed802 SSRs454 Roche GS FLX titanium
Kaur, Kimber, et al. (2014)Development of SNP markersLeaf768 SNP markersIllumina OPA‐bead array
Ray et al. (2015)Development of NGS libraries to elucidate the v‐c pathway and other genes for the anti‐nutritional factors5‐ to 6‐days‐old root and etiolated shoot and developing seed coat8 libraries containing 1.2 million ESTs454 sequencing
Arun‐Chinnappa and McCurdy (2015)Generating a genome‐wide transcriptome map of faba beanExpanding and fully expanded leave, elongating and fully elongated stem, and closed and open flower, whole roots including root hairs, and cotyledon17,160 unigenesIllumina HiSeq‐2000
Ocaña et al. (2015)Transcriptome analysis under ascochyta blight infectionLeaf tissue at 4, 8 and 12 h after inoculation21,243 transcripts, 39,060 SNPs and 3669 InDelsIllumina
Webb et al. (2016)SNP discovery7‐day‐old seedling653 new mined SNP markersGS FLX/454 reads
Braich et al. (2017)Development of reference unigene setsImmature pod and fully‐open flower26,295 new transcriptsRNA‐Seq, Illumina HiSeq 2000
Cooper et al. (2017)Enhancement of faba bean genome resourcesEmbryos16,300 unigenesRNA‐seq, Illumina HiSeq 2500
Alghamdi et al. (2018)Identify drought stress differentially expressed genesRoot at vegetative and flowering stages18,327 SSRsRNA‐seq, Illumina Hiseq 4000
Gao et al. (2020)Identify response to vernalization genesSeedling6852 SSRs in 6552 transcriptsRNA‐seq, Illumina HiSeq 2500
Yang et al. (2020)Identify salinity stress differentially expressed genesSeed4486 differentially expressed genesRNA‐seq, Illumina Hiseq 4000
Carrillo‐Perdomo et al. (2020)SNP discoveryLeaf39,423 transcripts and 105,828 gene‐based SNPsRNA‐seq, Illumina MiSeq
Björnsdotter et al. (2020)Uncovering genes associated with the biosynthesis of vicine‐convicineYoung and mature leaf, flower, pod and whole seed at early seed‐filling stage, embryo and pod at mid maturation, and stem49,277 transcriptsIllumina HiSeq PE150
Summary of published transcriptome data in faba bean Next‐generation sequencing (NGS) platforms, especially high‐throughput RNA sequencing (RNA–seq) technology, one of the most powerful tools currently available for transcriptome profiling, has enhanced the efficiency and speed of gene discovery in faba bean (Table 3). For example, the identification and characterization of differential gene expression from tissues subjected to drought (Alghamdi et al., 2018; Wu et al., 2020), vernalization (Gao et al., 2020), and salinity stress (Yang et al., 2020) have benefited greatly. These findings will help in understanding the stress tolerance mechanisms in the crop and will provide resources for functional genomics. Coupled with allelic data and trait mapping, the data will be invaluable in the development of more resilient faba bean varieties. A high‐quality reference transcriptome has been completed (Björnsdotter et al., 2020) and is being expanded to a pan‐transcriptome using data from four different genotypes (Hedin, Hiverna, 153b and 2378), including data from both shoot and root tissues (Escobar‐Herrera et al., 2020). This effort has provided a comprehensive faba bean reference gene set that will be a valuable new resource for differential gene expression analyses and genome annotation.

CONCLUSIONS AND PERSPECTIVES

Recent technological advances now allow sequencing of the large genome of faba bean. A collaborative reference genome assembly effort is currently underway, coordinated by the NORFAB consortium (Protein for the Northern Hemisphere, https://bit.ly/37QxeuM), and a pan‐genome initiative is being launched by the University of Helsinki and Luke (Natural Resources Institute Finland). The NORFAB project has developed an annotated reference transcriptome for faba bean (Escobar‐Herrera et al., 2020), which will aid the development of gene models for the reference assembly. The transcriptome work has also led to production of a high density faba bean genotyping array, which is now available from the University of Reading, UK. The array (known as ‘Vfaba_v2’), built on Life Technologies Axiom platform, contains 24,929 polymorphic high resolution SNP markers located in 15,846 different genes. Faba bean now benefits from saturated synteny‐based genetic maps, NGS, and high‐throughput genotyping technologies, which together will greatly aid genome assembly. Release of the reference genome will further advance the faba bean genomics and breeding revolution.

CONFLICT OF INTEREST

The authors have no conflict of interest.

AUTHOR CONTRIBUTION

H. K. did the writing of the original draft. All authors did the writing, review and editing of the manuscript. All authors read and agreed to the published version of the manuscript.

ETHICS STATEMENT

This manuscript does not contain any studies with human or animal subjects.
  46 in total

1.  Association mapping for frost tolerance using multi-parent advanced generation inter-cross (MAGIC) population in faba bean (Vicia faba L.).

Authors:  Ahmed Sallam; Regina Martsch
Journal:  Genetica       Date:  2015-06-04       Impact factor: 1.082

2.  Use of synteny to identify candidate genes underlying QTL controlling stomatal traits in faba bean (Vicia faba L.).

Authors:  Hamid Khazaei; Donal M O'Sullivan; Mikko J Sillanpää; Frederick L Stoddard
Journal:  Theor Appl Genet       Date:  2014-09-04       Impact factor: 5.699

3.  SNP discovery and high-density genetic mapping in faba bean (Vicia faba L.) permits identification of QTLs for ascochyta blight resistance.

Authors:  Sukhjiwan Kaur; Rohan B E Kimber; Noel O I Cogan; Michael Materne; John W Forster; Jeffrey G Paull
Journal:  Plant Sci       Date:  2013-12-01       Impact factor: 4.729

4.  Linkage among isozyme, RFLP and RAPD markers in Vicia faba.

Authors:  A M Torres; N F Weeden; A Martín
Journal:  Theor Appl Genet       Date:  1993-02       Impact factor: 5.699

5.  Comparative genomics to bridge Vicia faba with model and closely-related legume species: stability of QTLs for flowering and yield-related traits.

Authors:  S Cruz-Izquierdo; C M Avila; Z Satovic; C Palomino; N Gutierrez; S R Ellwood; H T T Phan; J I Cubero; A M Torres
Journal:  Theor Appl Genet       Date:  2012-08-05       Impact factor: 5.699

6.  Development of a composite map in Vicia faba, breeding applications and future prospects.

Authors:  B Román; Z Satovic; D Pozarkova; J Macas; J Dolezel; J I Cubero; A M Torres
Journal:  Theor Appl Genet       Date:  2003-11-29       Impact factor: 5.699

7.  Transcriptome sequencing of field pea and faba bean for discovery and validation of SSR genetic markers.

Authors:  Sukhjiwan Kaur; Luke W Pembleton; Noel O I Cogan; Keith W Savin; Tony Leonforte; Jeffrey Paull; Michael Materne; John W Forster
Journal:  BMC Genomics       Date:  2012-03-20       Impact factor: 3.969

Review 8.  Advances in Faba Bean Genetics and Genomics.

Authors:  Donal M O'Sullivan; Deepti Angra
Journal:  Front Genet       Date:  2016-08-22       Impact factor: 4.599

9.  Development of new genetic resources for faba bean (Vicia faba L.) breeding through the discovery of gene-based SNP markers and the construction of a high-density consensus map.

Authors:  E Carrillo-Perdomo; A Vidal; J Kreplak; H Duborjal; M Leveugle; J Duarte; C Desmetz; C Deulvot; B Raffiot; P Marget; N Tayeh; J P Pichon; M Falque; O C Martin; J Burstin; G Aubert
Journal:  Sci Rep       Date:  2020-04-22       Impact factor: 4.379

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  2 in total

Review 1.  Gene-Editing Technologies and Applications in Legumes: Progress, Evolution, and Future Prospects.

Authors:  Mehmet Cengiz Baloglu; Yasemin Celik Altunoglu; Pinar Baloglu; Ali Burak Yildiz; Nil Türkölmez; Yelda Özden Çiftçi
Journal:  Front Genet       Date:  2022-06-28       Impact factor: 4.772

2.  Seed Development and Protein Accumulation Patterns in Faba Bean (Vicia faba, L.).

Authors:  Ahmed O Warsame; Nicholas Michael; Donal M O'Sullivan; Paola Tosi
Journal:  J Agric Food Chem       Date:  2022-07-21       Impact factor: 5.895

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