Editorial: Special issue on the dissection of quantitative trait loci in a chromosome segment substitution line population of rice

Genomics ◽  
2020 ◽  
Author(s):  
Jeremy R. Shearman
2021 ◽  
Vol 12 ◽  
Author(s):  
Quanwei Lu ◽  
Xianghui Xiao ◽  
Juwu Gong ◽  
Pengtao Li ◽  
Yan Zhao ◽  
...  

Fiber length is an important determinant of fiber quality, and it is a quantitative multi-genic trait. Identifying genes associated with fiber length is of great importance for efforts to improve fiber quality in the context of cotton breeding. Integrating transcriptomic information and details regarding candidate gene regions can aid in candidate gene identification. In the present study, the CCRI45 line and a chromosome segment substitution line (CSSL) with a significantly higher fiber length (MBI7747) were utilized to establish F2 and F2:3 populations. Using a high-density genetic map published previously, six quantitative trait loci (QTLs) associated with fiber length and two QTLs associated with fiber strength were identified on four chromosomes. Within these QTLs, qFL-A07-1, qFL-A12-2, qFL-A12-5, and qFL-D02-1 were identified in two or three environments and confirmed by a meta-analysis. By integrating transcriptomic data from the two parental lines and through qPCR analyses, four genes associated with these QTLs including Cellulose synthase-like protein D3 (CSLD3, GH_A12G2259 for qFL-A12-2), expansin-A1 (EXPA1, GH_A12G1972 for qFL-A12-5), plasmodesmata callose-binding protein 3 (PDCB3, GH_A12G2014 for qFL-A12-5), and Polygalacturonase (At1g48100, GH_D02G0616 for qFL-D02-1) were identified as promising candidate genes associated with fiber length. Overall, these results offer a robust foundation for further studies regarding the molecular basis for fiber length and for efforts to improve cotton fiber quality.


2018 ◽  
Vol 69 (3) ◽  
pp. 278 ◽  
Author(s):  
Jianguo Lei ◽  
Shan Zhu ◽  
Caihong Shao ◽  
Shusheng Tang ◽  
Renliang Huang ◽  
...  

Low temperature at the booting stage in rice (Oryza sativa L.) can cause male sterility, resulting in yield losses. A set of chromosome segment substitution lines derived from the varieties Sasanishiki (cold-tolerant, ssp. japonica) and Habataki (cold-susceptible, ssp. indica) was used for analysis across two natural, low-temperature environments to study the genetic basis for cold tolerance at the booting stage. Spikelet fertility was used as the evaluation index for cold tolerance identification. Eight quantitative trait loci (QTLs) for cold tolerance were detected, two of which were located on chromosomes 3 (qCTSF3.1 and qCTSF3.2), and the others on chromosomes 4 (qCTSF4), 5 (qCTSF5), 6 (qCTSF6), 7 (qCTSF7), 8 (qCTSF8) and 9 (qCTSF9). The phenotypic variation explained by each QTL ranged from 5.4% to 25.3%. Of the eight QTLs, six (qCTSF3.2, qCTSF5, qCTSF6, qCTSF7, qCTSF8, qCTSF9) were repeatedly detected in two environments. QTLs qCTSF3.1, qCTSF7 and qCTSF9 overlapped with previously reported QTLs. All tolerant alleles for all QTLs were contributed by Sasanishiki.


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