» Articles » PMID: 33584776

Tapping Diversity From the Wild: From Sampling to Implementation

Overview
Journal Front Plant Sci
Date 2021 Feb 15
PMID 33584776
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

The diversity observed among crop wild relatives (CWRs) and their ability to flourish in unfavorable and harsh environments have drawn the attention of plant scientists and breeders for many decades. However, it is also recognized that the benefit gained from using CWRs in breeding is a potential rose between thorns of detrimental genetic variation that is linked to the trait of interest. Despite the increased interest in CWRs, little attention was given so far to the statistical, analytical, and technical considerations that should guide the sampling design, the germplasm characterization, and later its implementation in breeding. Here, we review the entire process of sampling and identifying beneficial genetic variation in CWRs and the challenge of using it in breeding. The ability to detect beneficial genetic variation in CWRs is strongly affected by the sampling design which should be adjusted to the spatial and temporal variation of the target species, the trait of interest, and the analytical approach used. Moreover, linkage disequilibrium is a key factor that constrains the resolution of searching for beneficial alleles along the genome, and later, the ability to deplete linked deleterious genetic variation as a consequence of genetic drag. We also discuss how technological advances in genomics, phenomics, biotechnology, and data science can improve the ability to identify beneficial genetic variation in CWRs and to exploit it in strive for higher-yielding and sustainable crops.

Citing Articles

Greater ecophysiological stress tolerance in the core environment than in extreme environments of wild chickpea (Cicer reticulatum).

Krieg C, Smith D, Adams M, Berger J, Layegh Nikravesh N, von Wettberg E Sci Rep. 2024; 14(1):5744.

PMID: 38459248 PMC: 10923935. DOI: 10.1038/s41598-024-56457-9.


Carbohydrate metabolism enzymes and phenotypic characterization of diverse lines of the climate-resilient food, feed, and bioenergy crop .

Stasnik P, Vollmann J, Grosskinsky D, Jonak C Food Energy Secur. 2024; 12(3):e459.

PMID: 38440098 PMC: 10909413. DOI: 10.1002/fes3.459.


The Role of Home Gardens in Promoting Biodiversity and Food Security.

Korpelainen H Plants (Basel). 2023; 12(13).

PMID: 37447034 PMC: 10346420. DOI: 10.3390/plants12132473.


Where the wild things are: genetic associations of environmental adaptation in the Oryza rufipogon species complex.

Wang D, Kantar M, Murugaiyan V, Neyhart J G3 (Bethesda). 2023; 13(8).

PMID: 37293846 PMC: 10411557. DOI: 10.1093/g3journal/jkad128.


Ecological and evolutionary drivers of phenotypic and genetic variation in the European crabapple [Malus sylvestris (L.) Mill.], a wild relative of the cultivated apple.

Chen X, Avia K, Forler A, Remoue C, Venon A, Rousselet A Ann Bot. 2023; 131(6):1025-1037.

PMID: 37148364 PMC: 10332392. DOI: 10.1093/aob/mcad061.


References
1.
Broman K, Wu H, Sen S, Churchill G . R/qtl: QTL mapping in experimental crosses. Bioinformatics. 2003; 19(7):889-90. DOI: 10.1093/bioinformatics/btg112. View

2.
Sork V, Squire K, Gugger P, Steele S, Levy E, Eckert A . Landscape genomic analysis of candidate genes for climate adaptation in a California endemic oak, Quercus lobata. Am J Bot. 2016; 103(1):33-46. DOI: 10.3732/ajb.1500162. View

3.
Torada L, Lorenzon L, Beddis A, Isildak U, Pattini L, Mathieson S . ImaGene: a convolutional neural network to quantify natural selection from genomic data. BMC Bioinformatics. 2019; 20(Suppl 9):337. PMC: 6873651. DOI: 10.1186/s12859-019-2927-x. View

4.
Caye K, Jumentier B, Lepeule J, Francois O . LFMM 2: Fast and Accurate Inference of Gene-Environment Associations in Genome-Wide Studies. Mol Biol Evol. 2019; 36(4):852-860. PMC: 6659841. DOI: 10.1093/molbev/msz008. View

5.
Meyer R, DuVal A, Jensen H . Patterns and processes in crop domestication: an historical review and quantitative analysis of 203 global food crops. New Phytol. 2012; 196(1):29-48. DOI: 10.1111/j.1469-8137.2012.04253.x. View