Mining of quantitative trait loci and candidate genes for seed size and shape across multiple environments in soybean ( Glycine max )

2021 ◽  
Author(s):  
Yaqian Sun ◽  
Rui Tian ◽  
Zhenqi Shao ◽  
Shiliang Chen ◽  
Hua Zhang ◽  
...  
2016 ◽  
Vol 42 (9) ◽  
pp. 1309
Author(s):  
Qiang CHEN ◽  
Long YAN ◽  
Ying-Ying DENG ◽  
Er-Ning XIAO ◽  
Bing-Qiang LIU ◽  
...  

2010 ◽  
Vol 122 (3) ◽  
pp. 581-594 ◽  
Author(s):  
Yu Xu ◽  
He-Nan Li ◽  
Guang-Jun Li ◽  
Xia Wang ◽  
Li-Guo Cheng ◽  
...  

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 312
Author(s):  
Giacomo Mangini ◽  
Antonio Blanco ◽  
Domenica Nigro ◽  
Massimo Antonio Signorile ◽  
Rosanna Simeone

Grain yield (YLD) is affected by thousand kernel weight (TKW) which reflects the combination of grain length (GL), grain width (GW) and grain area (AREA). Grain weight is also influenced by heading time (HT) and plant height (PH). To detect candidate genes and quantitative trait loci (QTL) of yield components, a durum wheat recombinant inbred line (RIL) population was evaluated in three field trials. The RIL was genotyped with a 90K single nucleotide polymorphism (SNP) array and a high-density genetic linkage map with 5134 markers was obtained. A total of 30 QTL were detected including 23 QTL grouped in clusters on 1B, 2A, 3A, 4B and 6B chromosomes. A QTL cluster on 2A chromosome included a major QTL for HT co-located with QTL for YLD, TKW, GL, GW and AREA, respectively. The photoperiod sensitivity (Ppd-A1) gene was found in the physical position of this cluster. Serine carboxypeptidase, Big grain 1 and β-fructofuranosidase candidate genes were mapped in clusters containing QTL for seed size. This study showed that yield components and phenological traits had higher inheritances than grain yield, allowing an accurate QTL cluster detection. This was a requisite to physically map QTL on durum genome and to identify candidate genes affecting grain yield.


2005 ◽  
Vol 48 (1) ◽  
pp. 106-112 ◽  
Author(s):  
Hyeun-Kyeung Kim ◽  
Sung-Taeg Kang ◽  
Jun-Hyeun Cho ◽  
Myoung-Gun Choung ◽  
Duck-Yong Suh

2018 ◽  
pp. 583-591
Author(s):  
Yi Chen Lee ◽  
M Javed Iqbal ◽  
Victor N Njiti ◽  
Stella Kantartzi ◽  
David A. Lightfoot

Soybean (Glycine max (L.) Merr.) cultivars differ in their resistance to sudden death syndrome (SDS), caused by Fusarium virguliforme. Breeding for improving SDS response has been challenging, due to interactions among the 18-42 known resistance loci. Four quantitative trait loci (QTL) for resistance to SDS (cqRfs–cqRfs3) were clustered within 20 cM of the rhg1 locus underlying resistance to soybean cyst nematode (SCN) on Chromosome (Chr.) 18. Another locus on Chr. 20 (cqRfs5) was reported to interact with this cluster. The aims here were to compare the inheritance of resistance to SDS in a near isogenic line (NIL) population that was fixed for resistance to SCN but segregated at two of the four loci (cqRfs1 and cqRfs) for SDS resistance; to examine the interaction with the locus on Chr. 20; and to identify candidate genes underlying QTL. Used were; a NIL population derived from residual heterozygosity in an F5:7 recombinant inbred line EF60 (lines 1-38); SDS response data from two locations and years; four segregating microsatellite and 1,500 SNP markers. Polymorphic regions were found from 2,788 Kbp to 8,938 Kbp on Chr. 18 and 33,100 Kbp to 34,943 Kbp on Chr. 20 that were significantly (0.005 < P > 0.0001) associated with resistance to SDS. The QTL fine maps suggested that the two loci on Chr. 18 were three loci (cqRfs1, cqRfs, and cqRfs19). Candidate genes were inferred.  An epistatic interaction was inferred between Chr. 18 and Chr. 20 loci. Therefore, SDS resistance QTL were both complex and interacting.


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