Results 91 to 100 of about 51,936 (310)

Presence of MTP genes in various rice QTLs/meta-QTLs associated with metal tolerance/accumulation.

, 2019
Presence of MTP genes in various rice QTLs/meta-QTLs associated with metal tolerance/accumulation.
Rupesh Deshmukh (700425), Nishu Gandass (6743921), Tilak Raj Sharma (728568), Humira Sonah (216867), Hasthi Ram (6743918), Amandeep Kaur (572773), Shweta Singh (409313)   +6 more
core   +1 more source

Seedling salt tolerance in tomato [PDF]

, 2011
Soils with higher concentrations of salt are becoming more and more a constraint for many crops to obtain high yields. Wild tomato species, adapted to adverse environments, are a potential reservoir for genes underlying quantitative trait loci (QTL ...
Visser, R.G.F., Du, Y., Liu, L., Zhang, Pujuan, van Heusden, A.W., Finkers, H.J., Heusden, A.W., van, Junming Li, J., Bai, Y.   +8 more
core   +1 more source

Sorghum T2T pangenome highlights comprehensive genomic variation

iMetaOmics, EarlyView.
Three newly assembled telomere‐to‐telomere (T2T) genomes representing wild, landrace, and transformable germplasm were integrated with seven publicly available T2T genomes to construct a graph‐based pangenome. Comparative analyses revealed extensive centromere divergence, including distinct CEN137 monomer and CEN274 dimer organization, and showed that ...
Lihua Wang, Chuanzheng Wei, Hope O. Okunbor, Xiaofei Deng, Die Hu, Yongfei Wang, Junli Du, Ephrem Habyarimana, Yongfu Tao, Yi‐Hong Wang, Jieqin Li   +10 more
wiley   +1 more source

Linkage map with 12 QTLs.

, 2022
The linkage groups (LG) were given the same names as in Alexandre et al. [63] and QTLs are represented by coloured bars to the right of their designated linkage groups, with letters on top referring to Table 2.
Hermine Alexandre (433328), Emmanuel Gonzalez (2060422), Valérie Poulin (7827797), Simon Joly (839167), Delase Amesefe (13119313)   +4 more
core   +1 more source

Multi‐omics–driven precision medicine

iMeta, EarlyView.
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li, Zhe Zhao, Yifan Zhang, Yao Ma, Gaofei Hu, Min Zeng, Zhanqun Yang, Zixuan Zhao, Xin Zhou, Wei Hu, Yuxuan Sun, Meng Su, Jun Li, Matthew Whiteman, Wei Fu, Chao Zhong, Lemin Zheng, Long Chen, Hairong Lv, Rongsheng Zhao, Yi Zhun Zhu   +20 more
wiley   +1 more source

Mapping QTLs for polyphenol oxidase activity in a DH population from common wheat [PDF]

, 2005
The polyphenol oxidase ( PPO) is a major factor to cause an undesirable brown discoloration of wheat-based end products during processing or storage. A double haploid (DH) population with 71 lines derived from Zhongyou 9507 with higher PPO activity and ...
Wang, De-Sen, Zhang, Li-Ping, Sutherland, Mark W., He, Zhong-Hu, Yan, Jun, Xia, Xian-Chun, Ge, Xiu-Xiu   +6 more
core   +1 more source

A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population

BMC Genomics, 2018
Background Gossypium barbadense (Sea Island, Egyptian or Pima cotton) cotton has high fiber quality, however, few studies have investigated the genetic basis of its traits using molecular markers. Genome complexity reduction approaches such as genotyping-
Liping Fan, Liping Wang, Xinyi Wang, Haiyan Zhang, Yanfei Zhu, Jiayan Guo, Wenwei Gao, Hongwei Geng, Quanjia Chen, Yanying Qu   +9 more
doaj   +1 more source

Identification and mapping of QTL associated with some traits related for drought tolerance in wheat using SSR markers

Beni-Suef University Journal of Basic and Applied Sciences, 2022
Background Wheat is the most important crop around the world. Drought stresses affect wheat production and their characterization. Most of the traits that are affected by drought are quantitative traits, so detection of the quantitative trait’s loci ...
Khaled Adly Mohamed Khaled, Rehab Mohamed Mohamed Habiba, Jamila Abdelhafeeth Bashasha, Mohamed Hassan Abd El-Aziz   +3 more
doaj   +1 more source

Deciphering transcriptome complexity via long‐read sequencing

iMeta, EarlyView.
Long‐read sequencing is transforming transcriptomics from gene‐level quantification to isoform‐resolved interpretation by directly resolving full‐length transcript structures, transcription in repetitive regions, and linked molecular features. This review provides an end‐to‐end roadmap covering sequencing platforms, library preparation strategies ...
Chuwen Xu, Jia Li, Chenxi Yin, Keying Li, Tian Wang, Shiwen Gao, Yue Yu, Cheng Chang, Ye Wang, Guoqing Tong, Liang Gong, Wen Hu, Guoliang Chai, Yilai Han, Qian Qin, Suoqin Jin, Xiufen Zou, Bo Li, Tianyuan Zhang, Ana Conesa, Yunhao Wang, Dingjie Wang   +21 more
wiley   +1 more source

Summary of epistatic QTLs (E-QTLs) detected by QTLNetwork in the S- and T-population.

, 2015
Summary of epistatic QTLs (E-QTLs) detected by QTLNetwork in the S- and T-population.
Ming Li Wang (718200), Rajeev K. Varshney (151116), David Pinnow (718203), Pawan Khera (619047), Hui Wang (30400), Corley C. Holbrook (718204), Manish K. Pandey (151068), Baozhu Guo (42084), Albert K. Culbreath (718205), Suping Feng (718201), Noelle A. Barkley (151272), Lixian Qiao (715606), Brandon Tonnis (718202)   +12 more
core   +1 more source