scholarly journals Signatures of Environmental Adaptation During Range Expansion of Wild Common Bean (Phaseolus vulgaris)

2019 ◽  
Author(s):  
Andrea Ariani ◽  
Paul Gepts

AbstractLandscape genomics integrates population genetics with landscape ecology, allowing the identification of putative molecular determinants involved in environmental adaptation across the natural geographic and ecological range of populations. Wild Phaseolus vulgaris, the progenitor of common bean (P. vulgaris), has a remarkably extended distribution over 10,000 km from northern Mexico to northwestern Argentina. Earlier research has shown that this distribution represents a range expansion from Mesoamerica to the southern Andes through several discrete migration events and that the species colonized areas with different temperature and rainfall compared to its core area of origin. Thus, this species provides an opportunity to examine to what extent adaptation of a species can be broadened or, conversely, ecological or geographical distribution can be limited by inherent adaptedness. In the current study, we applied a landscape genomics approach to a collection of 246 wild common bean accessions representative of its broad geographical and climatic distribution and genotyped for ∼20K SNPs. We applied two different but complementary approaches for identifying loci putatively involved in environmental adaptation: i) an outlier-detection method that identifies loci showing strong differentiation between sub-populations; ii) an association method based on the identification of loci associated with bio-climatic variables. This integrated approach allowed the identification of several genes showing signature of selection across the different natural sub-populations of this species, as well as genes associated with specific bio-climatic variables related to temperature and precipitation. The current study demonstrates the feasibility of landscape genomics approach for a preliminary identification of specific populations and novel candidate genes involved in environmental adaptation in P. vulgaris. As a resource for broadening the genetic diversity of the domesticated gene pool of this species, the genes identified constitute potential molecular markers and introgression targets for the breeding improvement of domesticated common bean.Author SummaryThe ancestral form of common bean has an unusually large distribution in the Americas, extending over 10,000 km from ∼35° N. Lat. to ∼35° S. Lat. This wide distribution results from discrete long-range dissemination events to the Andes region from the original environments in Mesoamerica. It also suggests adaptation to new environments that are distinct from those encountered in Mesoamerica. In this research, we identified genes that may be involved in adaptation to climate variables in these new environments using two methods. A first method – outlier detection – was used to identify genome regions that differentiated the wild bean groups in the Andes resulting from discrete dissemination events among themselves and the different groups in Mesoamerica. The second method – genome-wide association – was used to identify candidate genome regions correlated with these same variables across the entire distribution from Mesoamerica to the southern Andes. The two methods identified two sets of candidate genes, several of which were related to the water status of plants, and illustrate how the genetic architecture of adaptation following long-range dissemination. This study provides sets of candidate genes as well as candidate wild bean populations that need to be corroborated for their use in increasing the water use efficiency of domesticated beans.

2010 ◽  
Vol 38 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Chun Shi ◽  
Sarita Chaudhary ◽  
Kangfu Yu ◽  
Soon J. Park ◽  
Alireza Navabi ◽  
...  

2012 ◽  
Vol 30 (3) ◽  
pp. 1265-1277 ◽  
Author(s):  
Matthew W. Blair ◽  
Andrea Lorena Herrera ◽  
Tito Alejandro Sandoval ◽  
Gina Viviana Caldas ◽  
Marizia Filleppi ◽  
...  

2012 ◽  
Vol 197 (1) ◽  
pp. 300-313 ◽  
Author(s):  
Elena Bitocchi ◽  
Elisa Bellucci ◽  
Alessandro Giardini ◽  
Domenico Rau ◽  
Monica Rodriguez ◽  
...  

2019 ◽  
Author(s):  
Atena Oladzadabbasabadi ◽  
Sujan Mamidi ◽  
Phillip N. Miklas ◽  
Rian Lee ◽  
Phillip McClean

Abstract Background White mold (WM) is a major disease in common bean ( Phaseolus vulgaris L.), and its complex quantitative genetic control has limited the development of WM resistant cultivars. WM2.2 is one of the nine meta-QTL that has a major effect on WM tolerance. This QTL explains up to 35% of the phenotypic variation and was previously mapped to a large interval on Pv02. Our objective was to narrow the interval of this QTL using QTL-based bulk segregant analysis.Results The phenotypic and genotypic data from two RIL populations (R31 and Z0726-9), which possess different genetic backgrounds for white mold resistance, were used to select resistant and susceptible lines to generate subpopulations for bulk DNA sequencing, and reads were aligned against the sequence of the resistance parent. The QTL physical intervals for each RIL population were mapped by fixed SNPs in 10kb-2kb sliding windows. WM2.2 QTL was split into two regions WM2.2a (3.54-4.56 Mbp; euchromatic) and WM 2.2b (12.19 to 26.41 Mbp; heterochromatic) in populations R31 and Z0726-9, respectively. For each QTL interval, the possible functional contribution of significant non-synonymous and synonymous polymorphisms was investigated. Gene models encoding for pentatricopeptide repeat, gibberellin 2-oxidase, and heat-shock proteins are the likely candidate genes associated with WM2.2a resistance. A TIR-NBS-LRR class of disease resistance protein and a EF-TU receptor are potential candidate genes associated with WM2.2b resistance and most likely trigger a physiological resistance response to WM.Conclusion QTL-based pooled sequencing analysis revealed that the large genomic region associated with WM2.2 meta QTL consists of two major QTL each associated with a different WM resistance function. WM2.2a region is most likely associated with avoidance mechanisms while WM2.2b region triggers physiological resistance.


Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1572
Author(s):  
Júlio Cesar F. Elias ◽  
Maria Celeste Gonçalves-Vidigal ◽  
Andrea Ariani ◽  
Giseli Valentini ◽  
Maria da Conceição Martiniano-Souza ◽  
...  

Abiotic stress is a limiting factor for common bean (Phaseolus vulgaris L.) production globally. The study of the genotypic, phenotypic, and bio-climatic variables in a broad set of accessions may assist the identification of genomic regions involved in the climatic adaptation of the common bean. We conducted a genotyping-by-sequencing analysis using 28,823 SNPs on 110 georeferenced common bean accessions from Brazil to discover associations between SNPs and bio-climatic indexes. The population structure analysis clustered the accessions into two groups corresponding to the Andean and Mesoamerican gene pools. Of the 19 bioclimatic variables, 17 exhibited a significant association with SNPs on chromosomes Pv01, Pv02, Pv03, Pv04, Pv06, Pv09, Pv10, and Pv11 of common bean. Ten candidate genes were associated with specific bio-climatic variables related to temperature and precipitation. The candidate genes associated with this significant Pv09 region encode a Platz transcription factor family protein previously reported to be an essential regulator of drought stress. The SNP markers and candidate genes associated with the bio-climatic variables should be validated in segregating populations for water stress, which could further be used for marker-assisted selection. As a result, bean breeding programs may be able to provide advances in obtaining drought-tolerant cultivars.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Uneeb Urwat ◽  
Syed Mudasir Ahmad ◽  
Antonio Masi ◽  
Nazir Ahmad Ganai ◽  
Imtiyaz Murtaza ◽  
...  

AbstractIron (Fe) and zinc (Zn) stress significantly affects fundamental metabolic and physiological processes in plants that results in reduction of plant growth and development. In the present study, common bean variety; Shalimar French Bean-1 (SFB-1) was used as an experimental material. Four different MGRL media i.e. normal MGRL medium (Control), media without Fe (0-Fe), media without Zn (0-Zn) and media with excess Zn (300-Zn) were used for growing seeds of SFB-1 under in vitro condition for three weeks under optimum conditions. Three week old shoot and root tissues were harvested from the plants grown in these four different in vitro conditions and were, subjected to Fe and Zn estimation. Further, extraction of total RNA for differential gene expression of ten candidate genes selected based on our in silico investigation and their classification, phylogeny and expression pattern was unraveled. Expression analysis of three candidate genes (OPT3, NRAMP2 and NRAMP3) in roots revealed possible cross talk among Fe/Zn stress that was further confirmed by observing less accumulation of Fe in roots under both these conditions. However, we observed, higher accumulation of Fe in shoots under 0-Fe condition compared to control that suggests precise sensing for priority based compartmentalization and partitioning leading to higher accumulation of Fe in shoots. Furthermore, the expression analysis of IRT1, FRO1 and Ferritin 1 genes under Fe/Zn stress suggested their role in uptake/transport and signaling of Fe and Zn, whereas the expression of ZIP2, NRAMP1, HA2 and GLP1 genes were highly responsive to Zn in Phaseolus vulgaris. The identified genes highly responsive to Fe and Zn stress condition can be potential candidates for overcoming mineral stress in dicot crop plants.


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