scholarly journals Dissection The Practical Soybean Breeding Pipeline By Developing High Throughput Functional Array ZDX1

Author(s):  
Rujian Sun ◽  
Bincheng Sun ◽  
Yu Tian ◽  
Shanshan Su ◽  
Yong Zhang ◽  
...  

Abstract Microarray technology facilitates rapid, accurate, and economical genotyping. Here, using resequencing data from 2,214 representative soybean accessions, we developed the ZDX1 high-throughput functional soybean array, containing 158,959 SNPs, covering 90.92% of soybean genes and sites related to agronomically important traits. We genotyped 817 soybean accessions using ZDX1, including parental lines, non-parental lines, and progeny from a practical breeding pipeline. It was clarified that non-parental lines had highest genetic diversity, and 235 SNPs were identified to be fixed in the progeny. The unknown soybean cyst nematode-resistant and early maturity accessions were identified by using allele combinations. Notably, we found that breeding index was a good indicator for progeny selection, in which the superior progeny were derived from the crossing more distantly related parents with at least one parent having a higher breeding index. Based on this rule, two varieties were directionally developed. Meanwhile, redundant parents were screened out and potential combinations were formulated. GBLUP analysis displayed that the markers in genic regions had priority to be higher accuracy on predicting four agronomic traits compared with either whole genome or intergenic markers. Then we used progeny to expand the training population to increase the prediction accuracy of breeding selection by 32.1%. Collectively, our work provided a versatile array for high accuracy selecting and predicting both parents and progeny that can greatly accelerate soybean breeding.

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Ik-Young Choi ◽  
Prakash Basnet ◽  
Hana Yoo ◽  
Neha Samir Roy ◽  
Rahul Vasudeo Ramekar ◽  
...  

Soybean cyst nematode (SCN) is one of the most damaging pest of soybean. Discovery and characterization of the genes involved in SCN resistance are important in soybean breeding. Soluble NSF attachment protein (SNAP) genes are related to SCN resistance in soybean. SNAP genes include five gene families, and 2 haplotypes of exons 6 and 9 of SNAP18 are considered resistant to the SCN. In present study the haplotypes of GmSNAP18 were surveyed and chacterized in a total of 60 diverse soybean genotypes including Korean cultivars, landraces, and wild-types. The target region of exons 6 and 9 in GmSNAP18 region was amplified and sequenced to examine nucleotide variation. Characterization of 5 haplotypes identified in present study for the GmSNAP18 gene revealed two haplotypes as resistant, 1 as susceptible and two as novel. A total of twelve genotypes showed resistant haplotypes, and 45 cultivars were found susceptible. Interestingly, the two novel haplotypes were present in 3 soybean lines. The information provided here about the haplotypic variation of GmSNAP18 gene can be further explored for soybean breeding to develop resistant varieties.


Author(s):  
Stjepan Krešimir Kračun ◽  
Jonatan Ulrik Fangel ◽  
Maja Gro Rydahl ◽  
Henriette Lodberg Pedersen ◽  
Silvia Vidal-Melgosa ◽  
...  

GigaScience ◽  
2019 ◽  
Vol 8 (12) ◽  
Author(s):  
Jae-Yoon Kim ◽  
Seongmun Jeong ◽  
Kyoung Hyoun Kim ◽  
Won-Jun Lim ◽  
Ho-Yeon Lee ◽  
...  

Abstract Background Domestication and improvement processes, accompanied by selections and adaptations, have generated genome-wide divergence and stratification in soybean populations. Simultaneously, soybean populations, which comprise diverse subpopulations, have developed their own adaptive characteristics enhancing fitness, resistance, agronomic traits, and morphological features. The genetic traits underlying these characteristics play a fundamental role in improving other soybean populations. Results This study focused on identifying the selection signatures and adaptive characteristics in soybean populations. A core set of 245 accessions (112 wild-type, 79 landrace, and 54 improvement soybeans) selected from 4,234 soybean accessions was re-sequenced. Their genomic architectures were examined according to the domestication and improvement, and accessions were then classified into 3 wild-type, 2 landrace, and 2 improvement subgroups based on various population analyses. Selection and gene set enrichment analyses revealed that the landrace subgroups have selection signals for soybean-cyst nematode HG type 0 and seed development with germination, and that the improvement subgroups have selection signals for plant development with viability and seed development with embryo development, respectively. The adaptive characteristic for soybean-cyst nematode was partially underpinned by multiple resistance accessions, and the characteristics related to seed development were supported by our phenotypic findings for seed weights. Furthermore, their adaptive characteristics were also confirmed as genome-based evidence, and unique genomic regions that exhibit distinct selection and selective sweep patterns were revealed for 13 candidate genes. Conclusions Although our findings require further biological validation, they provide valuable information about soybean breeding strategies and present new options for breeders seeking donor lines to improve soybean populations.


Lab on a Chip ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 196-204
Author(s):  
Yifei Wang ◽  
Qinming Zhang ◽  
Wang Yuan ◽  
Yixuan Wang ◽  
Hannah J. Loghry ◽  
...  

A high-throughput hyperspectral image-based exosome (EV) microarray technology to differentiate EVs released by similar cell types or phenotypes.


Author(s):  
Lydia N. Horn ◽  
Habteab M. Ghebrehiwot ◽  
Fatma Sarsu ◽  
Hussein A. Shimelis

The objective of this study was to select cowpea (Vigna unguiculata [L.] Walp.) varieties that meet farmers’ needs in Namibia, from a set of newly developed and elite cowpea varieties developed through gamma irradiation. Thirty four candidate mutant cowpea varieties derived from three local varieties, (Shindimba, Bira and Nakare), were evaluated for nine agronomic traits. The new genotypes descended from Bira were favourably selected by all participants for their best plant cover. The genotype L1P12 (Bi450) was preferred by 81 percent percent of farmers for its higher pod setting ability. The genotype R4P5 (Nk150) with longer pod size and R3P1 (Bi600) with early maturity were ideal candidates preferred by nearly all farmers. The present study has identified farmers’ most-preferred cowpea varieties selected for their best agronomic performances and drought tolerance. These selected cowpea genotype lines will further be subjected to distinct, uniformity and stability trials for varietal registration and release.


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